Grobid Returned None #1112

tinotendamarufetu · 2024-05-06T21:02:57Z

Kindly assist. Failing to run the grobid fulltext processor getting below are the errors from my log:

2024-05-06 16:04:21,633 ERROR: Error processing after-appointment.pdf: Grobid returned None
2024-05-06 16:04:21,634 ERROR: Error processing appointment-checklist.pdf: Grobid returned None
2024-05-06 16:04:21,634 ERROR: Error processing A_FS_HCP_COVID19_PPE_card.pdf: Grobid returned None
2024-05-06 16:04:21,634 ERROR: Error processing CDC_COVID_Posters_GeneralAudience_card.pdf: Grobid returned None
2024-05-06 16:04:21,635 ERROR: Error processing How-Protein-Subunit-Vaccines-Work.pdf: Grobid returned None
2024-05-06 16:04:21,635 ERROR: Error processing protect-yourself-and-your-baby-print.pdf: Grobid returned None
2024-05-06 16:04:21,636 ERROR: Error processing temp-log-ultra-cold-storage-fahrenheit.pdf: Grobid returned None
2024-05-06 16:04:21,636 ERROR: Error processing Test-Soon-Treat-Early.pdf: Grobid returned None

This is my my pdf processing code:

Process each PDF in the input directory

for filename in os.listdir(input_dir):
if filename.endswith(".pdf"):
pdf_path = os.path.join(input_dir, filename)
output_path = os.path.join(output_dir, f"{os.path.splitext(filename)[0]}.xml")

    try:
        # Process the PDF using Grobid
        result = client.process("processFulltextDocument", pdf_path, n=20)
        
        # Check if the result is not None
        if result is not None:
            # Save the output XML to the specified path
            with open(output_path, "w", encoding="utf-8") as f:
                f.write(result)
            
            print(f"Successfully processed {filename}")
        else:
            logging.error(f"Error processing {filename}: Grobid returned None")
    
    except Exception as e:
        logging.error(f"Error processing {filename}: {e}")
        continue

The text was updated successfully, but these errors were encountered:

lfoppiano · 2024-05-09T12:38:45Z

Hi @tinotendamarufetu could you share some more information about your Grobid deployment? Which server are you running (native, docker)? Could you share the SO you're using? Do you have some logs from the server?

tinotendamarufetu · 2024-05-09T13:41:54Z

So I am running it on docker sitting on Kali Linux:

Trying to use the processfulltext pdf client:
client.process("processFulltextDocument", "home/kali/Documents/Grobid", n=20)

Below are the logs:
sudo docker run --rm --init --ulimit core=0 -p 8070:8070 --platform linux/amd64 grobid/grobid:0.7.1
[sudo] password for kali:
13:27:22.247 [main] INFO org.grobid.service.main.GrobidServiceApplication - Found conf path: /opt/grobid/grobid-home/config/grobid.yaml
13:27:22.260 [main] WARN org.grobid.service.main.GrobidServiceApplication - Running with default arguments: "server" "/opt/grobid/grobid-home/config/grobid.yaml"
13:27:22.260 [main] INFO org.grobid.service.main.GrobidServiceApplication - Configuration file: /opt/grobid/grobid-home/config/grobid.yaml
INFO [2024-05-09 13:27:25,971] io.dropwizard.server.DefaultServerFactory: Registering jersey handler with root path prefix: /
INFO [2024-05-09 13:27:25,975] io.dropwizard.server.DefaultServerFactory: Registering admin handler with root path prefix: /
INFO [2024-05-09 13:27:25,984] io.dropwizard.assets.AssetsBundle: Registering AssetBundle with name: grobidAssets for path /*
INFO [2024-05-09 13:27:26,611] com.hubspot.dropwizard.guicier.DropwizardModule: Added guice injected health check: org.grobid.service.resources.HealthResource
WARN [2024-05-09 13:27:26,619] org.grobid.core.main.GrobidHomeFinder: Grobid config file location was not explicitly set via 'org.grobid.config' system variable, defaulting to: /opt/grobid/grobid-home/config/grobid.yaml
INFO [2024-05-09 13:27:26,665] org.grobid.service.GrobidRestService: Initiating Servlet GrobidRestService
INFO [2024-05-09 13:27:26,671] org.grobid.core.main.LibraryLoader: Loading external native sequence labelling library
INFO [2024-05-09 13:27:26,708] org.grobid.core.main.LibraryLoader: Loading Wapiti native library...
INFO [2024-05-09 13:27:26,713] org.grobid.core.main.LibraryLoader: Native library for sequence labelling loaded
INFO [2024-05-09 13:27:26,717] org.grobid.core.lexicon.Lexicon: Initiating dictionary
INFO [2024-05-09 13:27:26,717] org.grobid.core.lexicon.Lexicon: End of Initialization of dictionary
INFO [2024-05-09 13:27:26,717] org.grobid.core.lexicon.Lexicon: Initiating names
INFO [2024-05-09 13:27:26,717] org.grobid.core.lexicon.Lexicon: End of initialization of names
INFO [2024-05-09 13:27:27,195] org.grobid.core.lexicon.Lexicon: Initiating country codes
INFO [2024-05-09 13:27:27,196] org.grobid.core.lexicon.Lexicon: End of initialization of country codes
INFO [2024-05-09 13:27:27,428] org.grobid.core.factory.GrobidPoolingFactory: Number of Engines in pool active/max: 1/10
INFO [2024-05-09 13:27:27,428] org.grobid.service.GrobidRestService: Initiating of Servlet GrobidRestService finished.
INFO [2024-05-09 13:27:27,452] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.resources.HealthResource as a root resource class
INFO [2024-05-09 13:27:27,453] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.GrobidRestService as a root resource class
INFO [2024-05-09 13:27:27,466] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.exceptions.mapper.GrobidServiceExceptionMapper as a provider class
INFO [2024-05-09 13:27:27,492] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.exceptions.mapper.GrobidExceptionsTranslationUtility as a provider class
INFO [2024-05-09 13:27:27,507] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.exceptions.mapper.GrobidExceptionMapper as a provider class
INFO [2024-05-09 13:27:27,508] com.hubspot.dropwizard.guicier.DropwizardModule: Registering org.grobid.service.exceptions.mapper.WebApplicationExceptionMapper as a provider class
INFO [2024-05-09 13:27:27,526] org.grobid.service.main.GrobidServiceApplication: Service config=GrobidServiceConfiguration{server=DefaultServerFactory{applicationConnectors=[io.dropwizard.jetty.HttpConnectorFactory@5a4c638d], adminConnectors=[io.dropwizard.jetty.HttpConnectorFactory@30f4b1a6], adminMaxThreads=64, adminMinThreads=1, applicationContextPath=/, adminContextPath=/}, logging=DefaultLoggingFactory{level=INFO, loggers={org.apache.pdfbox.pdmodel.font.PDSimpleFont="OFF"}, appenders=[io.dropwizard.logging.ConsoleAppenderFactory@36f1046f, io.dropwizard.logging.FileAppenderFactory@255e5e2e]}, metrics=MetricsFactory{frequency=1 minute, reporters=[]}}
INFO [2024-05-09 13:27:27,667] io.dropwizard.server.ServerFactory: Starting grobid-service

( ____ ( ____ )( ___ )( ___ \ __ /( __ \ ( ____ ( ____ ( ____ )|\ /|_ /( ____ ( ____
| ( /| ( )|| ( ) || ( ) ) ) ( | ( \ ) | ( /| ( /| ( )|| ) ( | ) ( | ( /| ( /
| | | (____)|| | | || (/ / | | | | ) | | (____ | (__ | ()|| | | | | | | | | (__
| | ____ | )| | | || __ ( | | | | | | (___ )| __) | _)( ( ) ) | | | | | )
| | _ )| (\ ( | | | || ( \ \ | | | | ) | ) || ( | (\ ( \ _/ / | | | | | (
| () || ) \ _| () || )) )) (| (/ ) /_) || (/| ) \ _ \ / ) (| (/| (/
()|/ _/()|/ _/ _/(/ _)(/|/ _/ _/ _/(/(__/

INFO [2024-05-09 13:27:28,047] org.eclipse.jetty.setuid.SetUIDListener: Opened application@51e3d37e{HTTP/1.1,[http/1.1]}{0.0.0.0:8070}
INFO [2024-05-09 13:27:28,048] org.eclipse.jetty.setuid.SetUIDListener: Opened admin@3a479fda{HTTP/1.1,[http/1.1]}{0.0.0.0:8071}
INFO [2024-05-09 13:27:28,051] org.eclipse.jetty.server.Server: jetty-9.4.18.v20190429; built: 2019-04-29T20:42:08.989Z; git: e1bc35120a6617ee3df052294e433f3a25ce7097; jvm 1.8.0_312-8u312-b07-0ubuntu1~20.04-b07
WARN [2024-05-09 13:27:28,415] org.glassfish.jersey.internal.inject.Providers: A provider org.grobid.service.exceptions.mapper.GrobidExceptionsTranslationUtility registered in SERVER runtime does not implement any provider interfaces applicable in the SERVER runtime. Due to constraint configuration problems the provider org.grobid.service.exceptions.mapper.GrobidExceptionsTranslationUtility will be ignored.
INFO [2024-05-09 13:28:35,644] io.dropwizard.jersey.DropwizardResourceConfig: The following paths were found for the configured resources:

POST    /api/annotatePDF (org.grobid.service.GrobidRestService)
POST    /api/citationPatentAnnotations (org.grobid.service.GrobidRestService)
GET     /api/grobid (org.grobid.service.GrobidRestService)
GET     /api/health (org.grobid.service.resources.HealthResource)
GET     /api/isalive (org.grobid.service.GrobidRestService)
GET     /api/model (org.grobid.service.GrobidRestService)
POST    /api/model (org.grobid.service.GrobidRestService)
POST    /api/modelTraining (org.grobid.service.GrobidRestService)
POST    /api/processAffiliations (org.grobid.service.GrobidRestService)
PUT     /api/processAffiliations (org.grobid.service.GrobidRestService)
POST    /api/processCitation (org.grobid.service.GrobidRestService)
PUT     /api/processCitation (org.grobid.service.GrobidRestService)
POST    /api/processCitationList (org.grobid.service.GrobidRestService)
POST    /api/processCitationNames (org.grobid.service.GrobidRestService)
PUT     /api/processCitationNames (org.grobid.service.GrobidRestService)
POST    /api/processCitationPatentPDF (org.grobid.service.GrobidRestService)
POST    /api/processCitationPatentST36 (org.grobid.service.GrobidRestService)
POST    /api/processCitationPatentTXT (org.grobid.service.GrobidRestService)
POST    /api/processDate (org.grobid.service.GrobidRestService)
PUT     /api/processDate (org.grobid.service.GrobidRestService)
POST    /api/processFulltextAssetDocument (org.grobid.service.GrobidRestService)
PUT     /api/processFulltextAssetDocument (org.grobid.service.GrobidRestService)
POST    /api/processFulltextDocument (org.grobid.service.GrobidRestService)
PUT     /api/processFulltextDocument (org.grobid.service.GrobidRestService)
POST    /api/processHeaderDocument (org.grobid.service.GrobidRestService)
PUT     /api/processHeaderDocument (org.grobid.service.GrobidRestService)
POST    /api/processHeaderNames (org.grobid.service.GrobidRestService)
PUT     /api/processHeaderNames (org.grobid.service.GrobidRestService)
POST    /api/processReferences (org.grobid.service.GrobidRestService)
PUT     /api/processReferences (org.grobid.service.GrobidRestService)
POST    /api/referenceAnnotations (org.grobid.service.GrobidRestService)
POST    /api/trainingResult (org.grobid.service.GrobidRestService)
GET     /api/version (org.grobid.service.GrobidRestService)

INFO [2024-05-09 13:28:35,645] org.eclipse.jetty.server.handler.ContextHandler: Started i.d.j.MutableServletContextHandler@7bf018dd{/,null,AVAILABLE}
INFO [2024-05-09 13:28:35,651] io.dropwizard.setup.AdminEnvironment: tasks =

POST    /tasks/log-level (io.dropwizard.servlets.tasks.LogConfigurationTask)
POST    /tasks/gc (io.dropwizard.servlets.tasks.GarbageCollectionTask)

INFO [2024-05-09 13:28:35,658] org.eclipse.jetty.server.handler.ContextHandler: Started i.d.j.MutableServletContextHandler@23b1aa9{/,null,AVAILABLE}
INFO [2024-05-09 13:28:35,839] org.eclipse.jetty.server.AbstractConnector: Started application@51e3d37e{HTTP/1.1,[http/1.1]}{0.0.0.0:8070}
INFO [2024-05-09 13:28:35,849] org.eclipse.jetty.server.AbstractConnector: Started admin@3a479fda{HTTP/1.1,[http/1.1]}{0.0.0.0:8071}
INFO [2024-05-09 13:28:35,849] org.eclipse.jetty.server.Server: Started @74488ms
172.17.0.1 - - [09/May/2024:13:28:36 +0000] "GET /api/isalive HTTP/1.1" 200 4 "-" "python-requests/2.31.0" 124
172.17.0.1 - - [09/May/2024:13:28:36 +0000] "GET /api/isalive HTTP/1.1" 200 4 "-" "python-requests/2.31.0" 4
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/affiliation-address/model.wapiti"
INFO [2024-05-09 13:28:38,408] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/affiliation-address/model.wapiti (size: 2766570)
Model path: /opt/grobid/grobid-home/models/affiliation-address/model.wapiti
INFO [2024-05-09 13:28:38,624] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/name/header/model.wapiti (size: 2524527)
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/name/header/model.wapiti"
Model path: /opt/grobid/grobid-home/models/name/header/model.wapiti
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/name/citation/model.wapiti"
INFO [2024-05-09 13:28:38,848] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/name/citation/model.wapiti (size: 440148)
Model path: /opt/grobid/grobid-home/models/name/citation/model.wapiti
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/header/model.wapiti"
INFO [2024-05-09 13:28:38,987] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/header/model.wapiti (size: 17134253)
Model path: /opt/grobid/grobid-home/models/header/model.wapiti
INFO [2024-05-09 13:28:42,142] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/date/model.wapiti (size: 102435)
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/date/model.wapiti"
Model path: /opt/grobid/grobid-home/models/date/model.wapiti
INFO [2024-05-09 13:28:42,162] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/citation/model.wapiti (size: 16865234)
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/citation/model.wapiti"
Model path: /opt/grobid/grobid-home/models/citation/model.wapiti
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/fulltext/model.wapiti"
INFO [2024-05-09 13:28:44,604] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/fulltext/model.wapiti (size: 26707735)
Model path: /opt/grobid/grobid-home/models/fulltext/model.wapiti
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/segmentation/model.wapiti"
INFO [2024-05-09 13:28:48,110] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/segmentation/model.wapiti (size: 31133177)
Model path: /opt/grobid/grobid-home/models/segmentation/model.wapiti
INFO [2024-05-09 13:28:57,605] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/reference-segmenter/model.wapiti (size: 4921245)
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/reference-segmenter/model.wapiti"
Model path: /opt/grobid/grobid-home/models/reference-segmenter/model.wapiti
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/figure/model.wapiti"
INFO [2024-05-09 13:28:58,331] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/figure/model.wapiti (size: 422671)
Model path: /opt/grobid/grobid-home/models/figure/model.wapiti
INFO [2024-05-09 13:28:58,424] org.grobid.core.jni.WapitiModel: Loading model: /opt/grobid/grobid-home/models/table/model.wapiti (size: 1427222)
[Wapiti] Loading model: "/opt/grobid/grobid-home/models/table/model.wapiti"
Model path: /opt/grobid/grobid-home/models/table/model.wapiti
INFO [2024-05-09 13:28:58,964] org.grobid.core.factory.GrobidPoolingFactory: Number of Engines in pool active/max: 1/10
INFO [2024-05-09 13:28:58,993] org.grobid.core.factory.GrobidPoolingFactory: Number of Engines in pool active/max: 2/10
INFO [2024-05-09 13:28:59,002] org.grobid.core.factory.GrobidPoolingFactory: Number of Engines in pool active/max: 3/10
INFO [2024-05-09 13:36:16,241] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-021-00475-2): New request in the pool
INFO [2024-05-09 13:36:16,429] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-021-00475-2): .. executing
INFO [2024-05-09 13:36:35,981] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kwang Gi Kim, PhD [2016],"Deep Learning", Healthcare Informatics Research, Division of Precision Medicine and Cancer
Informatics, National Cancer Center, Biomedical Engineering Branch, Goyang, Korea.,rows=1): New request in the pool
INFO [2024-05-09 13:36:35,986] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Jurgen Schmidhuber [January, 2015], "Deep learning in neural networks: An overview", Elsevier, University of Lugano &
SUPSI, Switzerland.,rows=1): New request in the pool
INFO [2024-05-09 13:36:35,989] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kwang Gi Kim, PhD [2016],"Deep Learning", Healthcare Informatics Research, Division of Precision Medicine and Cancer
Informatics, National Cancer Center, Biomedical Engineering Branch, Goyang, Korea.,rows=1): .. executing
INFO [2024-05-09 13:36:36,089] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Jurgen Schmidhuber [January, 2015], "Deep learning in neural networks: An overview", Elsevier, University of Lugano &
SUPSI, Switzerland.,rows=1): .. executing
INFO [2024-05-09 13:36:36,102] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Deniele Ravi, Charence Wong, Fani Deligiaani, Melissa Berthelot, Javier Andreu-Perez, Benny Lo and Guang-Zhong Yang,
[January 2017], "Deep Learning for Health Informatics", IEEE journal of biomedical and health informatics.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,128] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Deniele Ravi, Charence Wong, Fani Deligiaani, Melissa Berthelot, Javier Andreu-Perez, Benny Lo and Guang-Zhong Yang,
[January 2017], "Deep Learning for Health Informatics", IEEE journal of biomedical and health informatics.,rows=1): .. executing
INFO [2024-05-09 13:36:36,133] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu and Michael S. lew, [April 2016], "Deep Learning for visual
understanding: A review" Elsevier, National University of Defence Technology, Changsha, China.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,485] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Rie Kubota Ando and Tong Zhang. A framework for learning predictive structures from multiple
tasks and unlabeled data. Journal of Machine Learning Research, 6:1817-1853, 2005.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,489] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Peter Auer, Mark Herbster, and Manfred K. Warmuth. Exponentially many local minima for single
neurons. In M. Mozer, D. S. Touretzky, and M. Perrone, editors, Advances in Neural Information
Processing System 8, pages 315-322. MIT Press, Cambridge, MA, 1996.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,490] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Rie Kubota Ando and Tong Zhang. A framework for learning predictive structures from multiple
tasks and unlabeled data. Journal of Machine Learning Research, 6:1817-1853, 2005.,rows=1): .. executing
INFO [2024-05-09 13:36:36,492] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pierre Baldi and Kurt Hornik. Neural networks and principal component analysis: Learning from
examples without local minima. Neural Networks, 2:53-58, 1989.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,492] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Peter Auer, Mark Herbster, and Manfred K. Warmuth. Exponentially many local minima for single
neurons. In M. Mozer, D. S. Touretzky, and M. Perrone, editors, Advances in Neural Information
Processing System 8, pages 315-322. MIT Press, Cambridge, MA, 1996.,rows=1): .. executing
INFO [2024-05-09 13:36:36,493] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Anthony J. Bell and Terrence J. Sejnowski. An information maximisation approach to blind sepa-
ration and blind deconvolution. Neural Computation, 7(6):1129-1159, 1995.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,493] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pierre Baldi and Kurt Hornik. Neural networks and principal component analysis: Learning from
examples without local minima. Neural Networks, 2:53-58, 1989.,rows=1): .. executing
INFO [2024-05-09 13:36:36,513] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio. Learning deep architectures for AI. Technical Report 1312, Universit é de Montréal,
dept. IRO, 2007.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,517] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Anthony J. Bell and Terrence J. Sejnowski. An information maximisation approach to blind sepa-
ration and blind deconvolution. Neural Computation, 7(6):1129-1159, 1995.,rows=1): .. executing
INFO [2024-05-09 13:36:36,533] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio and Olivier Delalleau. Justifying and generalizing contrastive divergence. Technical
Report 1311, Dept. IRO, Université de Montréal, 2007.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,539] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio. Learning deep architectures for AI. Technical Report 1312, Universit é de Montréal,
dept. IRO, 2007.,rows=1): .. executing
INFO [2024-05-09 13:36:36,600] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio and Yann Le Cun. Scaling learning algorithms towards AI. In L. Bottou,
O. Chapelle, D. DeCoste, and J. Weston, editors, Large Scale Kernel Machines. MIT Press, 2007.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,603] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yanming Guo, Yu Liu, Ard Oerlemans, Songyang Lao, Song Wu and Michael S. lew, [April 2016], "Deep Learning for visual
understanding: A review" Elsevier, National University of Defence Technology, Changsha, China.,rows=1): .. executing
INFO [2024-05-09 13:36:36,610] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio and Olivier Delalleau. Justifying and generalizing contrastive divergence. Technical
Report 1311, Dept. IRO, Université de Montréal, 2007.,rows=1): .. executing
INFO [2024-05-09 13:36:36,670] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio, Olivier Delalleau, and Nicolas Le Roux. The curse of highly variable functions
for local kernel machines. In Y. Weiss, B. Sch ölkopf, and J. Platt, editors, Advances in Neural
Information Processing Systems 18, pages 107-114. MIT Press, Cambridge, MA, 2006.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,673] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio and Yann Le Cun. Scaling learning algorithms towards AI. In L. Bottou,
O. Chapelle, D. DeCoste, and J. Weston, editors, Large Scale Kernel Machines. MIT Press, 2007.,rows=1): .. executing
INFO [2024-05-09 13:36:36,701] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. Greedy layer-wise training of
deep networks. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information
Processing Systems 19, pages 153-160. MIT Press, 2007.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,702] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio, Olivier Delalleau, and Nicolas Le Roux. The curse of highly variable functions
for local kernel machines. In Y. Weiss, B. Sch ölkopf, and J. Platt, editors, Advances in Neural
Information Processing Systems 18, pages 107-114. MIT Press, Cambridge, MA, 2006.,rows=1): .. executing
INFO [2024-05-09 13:36:36,713] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Nikolaos Doulamis, Anastasios Doulamis, and Eftychios Protopapadakis [February 2018], "Deep Learning for computer vision:
A brief review", Hindawi Volume 2018 .,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,714] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yoshua Bengio, Pascal Lamblin, Dan Popovici, and Hugo Larochelle. Greedy layer-wise training of
deep networks. In B. Schölkopf, J. Platt, and T. Hoffman, editors, Advances in Neural Information
Processing Systems 19, pages 153-160. MIT Press, 2007.,rows=1): .. executing
INFO [2024-05-09 13:36:36,714] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Mu-Yen Chen, Hsiu-sen Chiang, Edwin Lughofer and Erol Egrioglu [April 2020], "Deep Learning: emerging trends,
applications and research challenges", Springer Link.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,719] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Liang-Chu Chen, Chia-Meng Lee and Mu-Yen Chen [October 2019], "Exploration of social media for sentiment analysis using
deep learning", SpringerLink.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,720] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Mu-Yen Chen, Hsiu-sen Chiang, Edwin Lughofer and Erol Egrioglu [April 2020], "Deep Learning: emerging trends,
applications and research challenges", Springer Link.,rows=1): .. executing
INFO [2024-05-09 13:36:36,722] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Nikolaos Doulamis, Anastasios Doulamis, and Eftychios Protopapadakis [February 2018], "Deep Learning for computer vision:
A brief review", Hindawi Volume 2018 .,rows=1): .. executing
INFO [2024-05-09 13:36:36,790] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Liang-Chu Chen, Chia-Meng Lee and Mu-Yen Chen [October 2019], "Exploration of social media for sentiment analysis using
deep learning", SpringerLink.,rows=1): .. executing
INFO [2024-05-09 13:36:36,804] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/978-981-15-3383-9_54): New request in the pool
INFO [2024-05-09 13:36:36,844] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Nur Farhana Hordri, Siti Sophiayati Yuhaniz, and Siti Mariyam Shamsuddin [October 2016], "Deep Learning and its
Applications: A review", Conference: Postgraduate Annual Research on Informatics Seminar 2016, Malaysia, Kuala Lumpur.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,850] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/978-981-15-3383-9_54): .. executing
INFO [2024-05-09 13:36:36,879] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Li Deng and Dong Yu [June 2014], "Deep Learning: Methods and Applications", Foundations and Trends in signal sing Volume
7, Issue 3-4.,rows=1): New request in the pool
INFO [2024-05-09 13:36:36,889] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Nur Farhana Hordri, Siti Sophiayati Yuhaniz, and Siti Mariyam Shamsuddin [October 2016], "Deep Learning and its
Applications: A review", Conference: Postgraduate Annual Research on Informatics Seminar 2016, Malaysia, Kuala Lumpur.,rows=1): .. executing
INFO [2024-05-09 13:36:37,041] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pramila P. Shinde and Seema Shah [August 2018], "A Review of Machine Learning and Deep Learning Applications", IEEE
publisher.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,054] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pramila P. Shinde and Seema Shah [August 2018], "A Review of Machine Learning and Deep Learning Applications", IEEE
publisher.,rows=1): .. executing
INFO [2024-05-09 13:36:37,061] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Remi Cadene, Nicolas Thome, and Matthieu Cord [October 2016], " Master's thesis: Deep Learning for visual recognition",
Cornell University.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,092] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Li Deng and Dong Yu [June 2014], "Deep Learning: Methods and Applications", Foundations and Trends in signal sing Volume
7, Issue 3-4.,rows=1): .. executing
INFO [2024-05-09 13:36:37,095] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Francis Quintal Lauzon [2012], "An Introduction to deep learning", Publisher: IEEE, 11th international conference on
information science, signal processing and their applications(ISSPA).,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,095] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Francis Quintal Lauzon [2012], "An Introduction to deep learning", Publisher: IEEE, 11th international conference on
information science, signal processing and their applications(ISSPA).,rows=1): .. executing
INFO [2024-05-09 13:36:37,096] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Remi Cadene, Nicolas Thome, and Matthieu Cord [October 2016], " Master's thesis: Deep Learning for visual recognition",
Cornell University.,rows=1): .. executing
INFO [2024-05-09 13:36:37,096] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yu Kai, Xu Wei, Jia Lei and Chen Yuqiang [2013] "Deep Learning: Yesterday, Today, and Tomorrow", Journal of Computer
Research and Development.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,144] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yu Kai, Xu Wei, Jia Lei and Chen Yuqiang [2013] "Deep Learning: Yesterday, Today, and Tomorrow", Journal of Computer
Research and Development.,rows=1): .. executing
INFO [2024-05-09 13:36:37,153] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tracy Wilson Smith and Susan A. Colby [August 2010], " Teaching for Deep Learning", A Journal of Education Strategies,
Issues and Ideas.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,196] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tracy Wilson Smith and Susan A. Colby [August 2010], " Teaching for Deep Learning", A Journal of Education Strategies,
Issues and Ideas.,rows=1): .. executing
INFO [2024-05-09 13:36:37,204] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Guillaume Bouchard and Bill Triggs. The tradeoff between generative and discriminative classifiers.
In IASC International Symposium on Computational Statistics (COMPSTAT), pages 721-728,
Prague, August 2004. URL http://lear.inrialpes.fr/pubs/2004/BT04.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,216] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Miguel A. Carreira-Perpiñan and Geoffrey E. Hinton. On contrastive divergence learning. In
Robert G. Cowell and Zoubin Ghahramani, editors, Proceedings of the Tenth International Work-
shop on Artificial Intelligence and Statistics, Jan 6-8, 2005, Savannah Hotel, Barbados, pages
33-40. Society for Artificial Intelligence and Statistics, 2005.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,221] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Guillaume Bouchard and Bill Triggs. The tradeoff between generative and discriminative classifiers.
In IASC International Symposium on Computational Statistics (COMPSTAT), pages 721-728,
Prague, August 2004. URL http://lear.inrialpes.fr/pubs/2004/BT04.,rows=1): .. executing
INFO [2024-05-09 13:36:37,270] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hsin Chen and Alan F. Murray. A continuous restricted Boltzmann machine with an implementable
training algorithm. IEE Proceedings of Vision, Image and Signal Processing, 150(3):153-158,
2003.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,272] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Miguel A. Carreira-Perpiñan and Geoffrey E. Hinton. On contrastive divergence learning. In
Robert G. Cowell and Zoubin Ghahramani, editors, Proceedings of the Tenth International Work-
shop on Artificial Intelligence and Statistics, Jan 6-8, 2005, Savannah Hotel, Barbados, pages
33-40. Society for Artificial Intelligence and Statistics, 2005.,rows=1): .. executing
INFO [2024-05-09 13:36:37,286] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ronan Collobert and Jason Weston. A unified architecture for natural language processing: Deep
neural networks with multitask learning. In Proceedings of the Twenty-fifth International Con-
ference on Machine Learning (ICML 2008), pages 160-167, 2008. URL http://www.kyb.
tuebingen.mpg.de/bs/people/weston/papers/unified-nlp.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,288] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hsin Chen and Alan F. Murray. A continuous restricted Boltzmann machine with an implementable
training algorithm. IEE Proceedings of Vision, Image and Signal Processing, 150(3):153-158,
2003.,rows=1): .. executing
INFO [2024-05-09 13:36:37,517] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pierre Comon. Independent component analysis -a new concept? Signal Processing, 36:287-314,
1994.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,547] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Garrison W. Cottrell, Paul Munro, and David Zipser. Learning internal representations from gray-
scale images: An example of extensional programming. In Ninth Annual Conference of the
Cognitive Science Society, pages 462-473, Seattle 1987, 1987. Lawrence Erlbaum, Hillsdale.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,547] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pierre Comon. Independent component analysis -a new concept? Signal Processing, 36:287-314,
1994.,rows=1): .. executing
INFO [2024-05-09 13:36:37,599] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ronan Collobert and Jason Weston. A unified architecture for natural language processing: Deep
neural networks with multitask learning. In Proceedings of the Twenty-fifth International Con-
ference on Machine Learning (ICML 2008), pages 160-167, 2008. URL http://www.kyb.
tuebingen.mpg.de/bs/people/weston/papers/unified-nlp.pdf.,rows=1): .. executing
INFO [2024-05-09 13:36:37,599] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Peter Dayan, Geoffrey Hinton, Radford Neal, and Rich Zemel. The Helmholtz machine. Neural
Computation, 7:889-904, 1995.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,603] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Garrison W. Cottrell, Paul Munro, and David Zipser. Learning internal representations from gray-
scale images: An example of extensional programming. In Ninth Annual Conference of the
Cognitive Science Society, pages 462-473, Seattle 1987, 1987. Lawrence Erlbaum, Hillsdale.,rows=1): .. executing
INFO [2024-05-09 13:36:37,652] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=David DeMers and Garrison W. Cottrell. Non-linear dimensionality reduction. In C.L. Giles, S.J.
Hanson, and J.D. Cowan, editors, Advances in Neural Information Processing Systems 5, pages
580-587, San Mateo CA, 1993. Morgan Kaufmann.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,672] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Peter Dayan, Geoffrey Hinton, Radford Neal, and Rich Zemel. The Helmholtz machine. Neural
Computation, 7:889-904, 1995.,rows=1): .. executing
INFO [2024-05-09 13:36:37,688] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Scott E. Fahlman and Christian Lebiere. The cascade-correlation learning architecture. In D.S.
Touretzky, editor, Advances in Neural Information Processing Systems 2, pages 524-532, Denver,
CO, 1990. Morgan Kaufmann, San Mateo.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,698] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ildiko E. Frank and Jerome H. Friedman. A statistical view of some chemometrics regression tools.
Technometrics, 35(2):109-148, 1993.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,718] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ildiko E. Frank and Jerome H. Friedman. A statistical view of some chemometrics regression tools.
Technometrics, 35(2):109-148, 1993.,rows=1): .. executing
INFO [2024-05-09 13:36:37,718] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Brendan J. Frey. Graphical models for machine learning and digital communication. MIT Press,
1998.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,719] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Scott E. Fahlman and Christian Lebiere. The cascade-correlation learning architecture. In D.S.
Touretzky, editor, Advances in Neural Information Processing Systems 2, pages 524-532, Denver,
CO, 1990. Morgan Kaufmann, San Mateo.,rows=1): .. executing
INFO [2024-05-09 13:36:37,720] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=David DeMers and Garrison W. Cottrell. Non-linear dimensionality reduction. In C.L. Giles, S.J.
Hanson, and J.D. Cowan, editors, Advances in Neural Information Processing Systems 5, pages
580-587, San Mateo CA, 1993. Morgan Kaufmann.,rows=1): .. executing
INFO [2024-05-09 13:36:37,724] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kenji Fukumizu and Shun-ichi Amari. Local minima and plateaus in hierarchical structures of
multilayer perceptrons. Neural Networks, 13(3):317-327, 2000.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,724] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Brendan J. Frey. Graphical models for machine learning and digital communication. MIT Press,
1998.,rows=1): .. executing
INFO [2024-05-09 13:36:37,730] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, and Yann LeCun. Deep
belief net learning in a long-range vision system for autonomous off-road driving. In Proc.
Intelligent Robots and Systems (IROS'08), 2008. URL http://www.cs.nyu.edu/ ˜raia/docs/
iros08-farod.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,736] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kenji Fukumizu and Shun-ichi Amari. Local minima and plateaus in hierarchical structures of
multilayer perceptrons. Neural Networks, 13(3):317-327, 2000.,rows=1): .. executing
INFO [2024-05-09 13:36:37,831] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco Scoffier, Urs Muller, and Yann LeCun. Deep
belief net learning in a long-range vision system for autonomous off-road driving. In Proc.
Intelligent Robots and Systems (IROS'08), 2008. URL http://www.cs.nyu.edu/ ˜raia/docs/
iros08-farod.pdf.,rows=1): .. executing
INFO [2024-05-09 13:36:37,833] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Johan Håstad. Almost optimal lower bounds for small depth circuits. In Proceedings of the 18th
annual ACM Symposium on Theory of Computing, pages 6-20, Berkeley, California, 1986. ACM
Press.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,851] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Johan Hastad and M. Goldmann. On the power of small-depth threshold circuits. Computational
Complexity, 1:113-129, 1991.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,859] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Johan Håstad. Almost optimal lower bounds for small depth circuits. In Proceedings of the 18th
annual ACM Symposium on Theory of Computing, pages 6-20, Berkeley, California, 1986. ACM
Press.,rows=1): .. executing
INFO [2024-05-09 13:36:37,906] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Johan Hastad and M. Goldmann. On the power of small-depth threshold circuits. Computational
Complexity, 1:113-129, 1991.,rows=1): .. executing
INFO [2024-05-09 13:36:37,907] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. Training products of experts by minimizing contrastive divergence. Neural
Computation, 14:1771-1800, 2002.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,958] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. Connectionist learning procedures. Artificial Intelligence, 40:185-234, 1989.,rows=1): New request in the pool
INFO [2024-05-09 13:36:37,975] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. Training products of experts by minimizing contrastive divergence. Neural
Computation, 14:1771-1800, 2002.,rows=1): .. executing
INFO [2024-05-09 13:36:38,022] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. To recognize shapes, first learn to generate images. Technical Report UTML
TR 2006-003, University of Toronto, 2006.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,022] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. Connectionist learning procedures. Artificial Intelligence, 40:185-234, 1989.,rows=1): .. executing
INFO [2024-05-09 13:36:38,079] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton and Ruslan R. Salakhutdinov. Reducing the dimensionality of data with neural
networks. Science, 313(5786):504-507, July 2006.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,088] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton. To recognize shapes, first learn to generate images. Technical Report UTML
TR 2006-003, University of Toronto, 2006.,rows=1): .. executing
INFO [2024-05-09 13:36:38,363] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton, Peter Dayan, Brendan J. Frey, and Radford M. Neal. The wake-sleep algorithm
for unsupervised neural networks. Science, 268:1558-1161, 1995.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,374] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton and Ruslan R. Salakhutdinov. Reducing the dimensionality of data with neural
networks. Science, 313(5786):504-507, July 2006.,rows=1): .. executing
INFO [2024-05-09 13:36:38,385] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Goeffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief
nets. Neural Computation, 18:1527-1554, 2006.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,389] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Geoffrey E. Hinton, Peter Dayan, Brendan J. Frey, and Radford M. Neal. The wake-sleep algorithm
for unsupervised neural networks. Science, 268:1558-1161, 1995.,rows=1): .. executing
INFO [2024-05-09 13:36:38,598] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2005.25): New request in the pool
INFO [2024-05-09 13:36:38,615] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Goeffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief
nets. Neural Computation, 18:1527-1554, 2006.,rows=1): .. executing
INFO [2024-05-09 13:36:38,651] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kurt Hornik, Maxwell Stinchcombe, and Halbert White. Multilayer feedforward networks are uni-
versal approximators. Neural Networks, 2:359-366, 1989.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,701] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2005.25): .. executing
INFO [2024-05-09 13:36:38,735] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tommi S. Jaakkola and David Haussler. Exploiting generative models in discriminative classifiers.
In M.S. Kearns, S.A. Solla, and D.A. Cohn, editors, Advances in Neural Information Processing
Systems 11. MIT Press, Cambridge, MA, 1999.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,749] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Kurt Hornik, Maxwell Stinchcombe, and Halbert White. Multilayer feedforward networks are uni-
versal approximators. Neural Networks, 2:359-366, 1989.,rows=1): .. executing
INFO [2024-05-09 13:36:38,816] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tony Jebara. Machine Learning: Discriminative and Generative (The Kluwer International Se-
ries in Engineering and Computer Science). Springer, December 2003. ISBN 1402076479.
URL http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/
1402076479.,rows=1): New request in the pool
INFO [2024-05-09 13:36:38,839] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tommi S. Jaakkola and David Haussler. Exploiting generative models in discriminative classifiers.
In M.S. Kearns, S.A. Solla, and D.A. Cohn, editors, Advances in Neural Information Processing
Systems 11. MIT Press, Cambridge, MA, 1999.,rows=1): .. executing
INFO [2024-05-09 13:36:38,904] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Tony Jebara. Machine Learning: Discriminative and Generative (The Kluwer International Se-
ries in Engineering and Computer Science). Springer, December 2003. ISBN 1402076479.
URL http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/
1402076479.,rows=1): .. executing
INFO [2024-05-09 13:36:38,936] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Christian Jutten and Jeanny Herault. Blind separation of sources, part I: an adaptive algorithm based
on neuromimetic architecture. Signal Processing, 24:1-10, 1991.,rows=1): New request in the pool
INFO [2024-05-09 13:36:39,053] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Christian Jutten and Jeanny Herault. Blind separation of sources, part I: an adaptive algorithm based
on neuromimetic architecture. Signal Processing, 24:1-10, 1991.,rows=1): .. executing
INFO [2024-05-09 13:36:52,227] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hugo Larochelle and Yoshua Bengio. Classification using discriminative restricted boltzmann ma-
chines. In Andrew McCallum and Sam Roweis, editors, Proceedings of the 25th Annual Interna-
tional Conference on Machine Learning (ICML 2008), pages 536-543. Omnipress, 2008.,rows=1): New request in the pool
INFO [2024-05-09 13:36:52,231] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, and Yoshua Bengio. An em-
pirical evaluation of deep architectures on problems with many factors of variation. In Zoubin
Ghahramani, editor, Twenty-fourth International Conference on Machine Learning (ICML 2007),
pages 473-480. Omnipress, 2007. URL http://www.machinelearning.org/proceedings/
icml2007/papers/331.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:36:52,243] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2006.227): New request in the pool
INFO [2024-05-09 13:36:52,248] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, and Yoshua Bengio. An em-
pirical evaluation of deep architectures on problems with many factors of variation. In Zoubin
Ghahramani, editor, Twenty-fourth International Conference on Machine Learning (ICML 2007),
pages 473-480. Omnipress, 2007. URL http://www.machinelearning.org/proceedings/
icml2007/papers/331.pdf.,rows=1): .. executing
INFO [2024-05-09 13:36:52,300] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2006.227): .. executing
INFO [2024-05-09 13:36:52,366] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Hugo Larochelle and Yoshua Bengio. Classification using discriminative restricted boltzmann ma-
chines. In Andrew McCallum and Sam Roweis, editors, Proceedings of the 25th Annual Interna-
tional Conference on Machine Learning (ICML 2008), pages 536-543. Omnipress, 2008.,rows=1): .. executing
INFO [2024-05-09 13:36:53,073] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied
to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.,rows=1): New request in the pool
INFO [2024-05-09 13:36:53,075] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Régis Lengellé and Thierry Denoeux. Training MLPs layer by layer using an objective function for
internal representations. Neural Networks, 9:83-97, 1996.,rows=1): New request in the pool
INFO [2024-05-09 13:36:53,075] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Javier R. Movellan, Paul Mineiro, and R. J. Williams. A monte-carlo EM approach for partially
observable diffusion processes: theory and applications to neural networks. Neural Computation,
14:1501-1544, 2002.,rows=1): New request in the pool
INFO [2024-05-09 13:36:53,076] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Régis Lengellé and Thierry Denoeux. Training MLPs layer by layer using an objective function for
internal representations. Neural Networks, 9:83-97, 1996.,rows=1): .. executing
INFO [2024-05-09 13:36:53,076] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied
to document recognition. Proceedings of the IEEE, 86(11):2278-2324, November 1998.,rows=1): .. executing
INFO [2024-05-09 13:36:53,078] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Javier R. Movellan, Paul Mineiro, and R. J. Williams. A monte-carlo EM approach for partially
observable diffusion processes: theory and applications to neural networks. Neural Computation,
14:1501-1544, 2002.,rows=1): .. executing
INFO [2024-05-09 13:36:59,274] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Radford M. Neal. Connectionist learning of belief networks. Artificial Intelligence, 56:71-113,
1992.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,276] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Andrew Y. Ng and Michael I. Jordan. On discriminative vs. generative classifiers: A comparison of
logistic regression and naive bayes. In NIPS, pages 841-848, 2001.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,276] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Radford M. Neal. Connectionist learning of belief networks. Artificial Intelligence, 56:71-113,
1992.,rows=1): .. executing
INFO [2024-05-09 13:36:59,278] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Andrew Y. Ng and Michael I. Jordan. On discriminative vs. generative classifiers: A comparison of
logistic regression and naive bayes. In NIPS, pages 841-848, 2001.,rows=1): .. executing
INFO [2024-05-09 13:36:59,384] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Simon Osindero and Geoffrey E. Hinton. Modeling image patches with a directed hierarchy of
markov random field. In Neural Information Processing Systems Conference (NIPS) 20, 2008.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,405] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Fu-Jie Huang, Y-Lan Boureau, and Yann LeCun. Unsupervised learning of
invariant feature hierarchies with applications to object recognition. In Proc. Computer Vision
and Pattern Recognition Conference (CVPR'07). IEEE Press, 2007a.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,407] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Simon Osindero and Geoffrey E. Hinton. Modeling image patches with a directed hierarchy of
markov random field. In Neural Information Processing Systems Conference (NIPS) 20, 2008.,rows=1): .. executing
INFO [2024-05-09 13:36:59,414] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Fu-Jie Huang, Y-Lan Boureau, and Yann LeCun. Unsupervised learning of
invariant feature hierarchies with applications to object recognition. In Proc. Computer Vision
and Pattern Recognition Conference (CVPR'07). IEEE Press, 2007a.,rows=1): .. executing
INFO [2024-05-09 13:36:59,568] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Christopher Poultney, Sumit Chopra, and Yann LeCun. Efficient learning
of sparse representations with an energy-based model. In B. Sch ölkopf, J. Platt, and T. Hoffman,
editors, Advances in Neural Information Processing Systems 19. MIT Press, 2007b.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,582] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Y-Lan Boureau, and Yann LeCun. Sparse feature learning for deep belief
networks. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Infor-
mation Processing Systems 20. MIT Press, Cambridge, MA, 2008. URL http://www.cs.nyu.
edu/ ˜ranzato/publications/ranzato-nips07.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:36:59,584] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Christopher Poultney, Sumit Chopra, and Yann LeCun. Efficient learning
of sparse representations with an energy-based model. In B. Sch ölkopf, J. Platt, and T. Hoffman,
editors, Advances in Neural Information Processing Systems 19. MIT Press, 2007b.,rows=1): .. executing
INFO [2024-05-09 13:36:59,607] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Marc'Aurelio Ranzato, Y-Lan Boureau, and Yann LeCun. Sparse feature learning for deep belief
networks. In J.C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances in Neural Infor-
mation Processing Systems 20. MIT Press, Cambridge, MA, 2008. URL http://www.cs.nyu.
edu/ ˜ranzato/publications/ranzato-nips07.pdf.,rows=1): .. executing
INFO [2024-05-09 13:37:00,549] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Using deep belief nets to learn covariance kernels
for gaussian processes. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances
in Neural Information Processing Systems 20. MIT Press, Cambridge, MA, 2008. URL http:
//www.csri.utoronto.ca/ ˜hinton/absps/dbngp.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:37:00,576] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Semantic hashing. In Proceedings of the 2007 Work-
shop on Information Retrieval and applications of Graphical Models (SIGIR 2007), Amsterdam,
2007a. Elsevier.,rows=1): New request in the pool
INFO [2024-05-09 13:37:00,584] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Using deep belief nets to learn covariance kernels
for gaussian processes. In J. C. Platt, D. Koller, Y. Singer, and S. Roweis, editors, Advances
in Neural Information Processing Systems 20. MIT Press, Cambridge, MA, 2008. URL http:
//www.csri.utoronto.ca/ ˜hinton/absps/dbngp.pdf.,rows=1): .. executing
INFO [2024-05-09 13:37:00,592] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Semantic hashing. In Proceedings of the 2007 Work-
shop on Information Retrieval and applications of Graphical Models (SIGIR 2007), Amsterdam,
2007a. Elsevier.,rows=1): .. executing
INFO [2024-05-09 13:37:01,110] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Learning a nonlinear embedding by preserving class
neighbourhood structure. In Proceedings of AISTATS 2007, San Juan, Porto Rico, 2007b. Omni-
press.,rows=1): New request in the pool
INFO [2024-05-09 13:37:01,126] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Geoffrey Hinton. Learning a nonlinear embedding by preserving class
neighbourhood structure. In Proceedings of AISTATS 2007, San Juan, Porto Rico, 2007b. Omni-
press.,rows=1): .. executing
INFO [2024-05-09 13:37:01,133] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Iain Murray. On the quantitative analysis of deep belief networks. In
Proceedings of the International Conference on Machine Learning, volume 25, 2008.,rows=1): New request in the pool
INFO [2024-05-09 13:37:01,133] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton. Restricted boltzmann machines for col-
laborative filtering. In ICML '07: Proceedings of the 24th international conference on Machine
learning, pages 791-798, New York, NY, USA, 2007. ACM.,rows=1): New request in the pool
INFO [2024-05-09 13:37:01,133] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Lawrence K. Saul, Tommi Jaakkola, and Michael I. Jordan. Mean field theory for sigmoid belief
networks. Journal of Artificial Intelligence Research, 4:61-76, 1996.,rows=1): New request in the pool
INFO [2024-05-09 13:37:01,133] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Eric Saund. Dimensionality-reduction using connectionist networks. IEEE Transactions on Pattern
Analysis and Machine Intelligence, 11(3):304-314, 1989.,rows=1): New request in the pool
INFO [2024-05-09 13:37:01,156] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov and Iain Murray. On the quantitative analysis of deep belief networks. In
Proceedings of the International Conference on Machine Learning, volume 25, 2008.,rows=1): .. executing
INFO [2024-05-09 13:37:01,157] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey Hinton. Restricted boltzmann machines for col-
laborative filtering. In ICML '07: Proceedings of the 24th international conference on Machine
learning, pages 791-798, New York, NY, USA, 2007. ACM.,rows=1): .. executing
INFO [2024-05-09 13:37:01,163] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Lawrence K. Saul, Tommi Jaakkola, and Michael I. Jordan. Mean field theory for sigmoid belief
networks. Journal of Artificial Intelligence Research, 4:61-76, 1996.,rows=1): .. executing
INFO [2024-05-09 13:37:01,233] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Eric Saund. Dimensionality-reduction using connectionist networks. IEEE Transactions on Pattern
Analysis and Machine Intelligence, 11(3):304-314, 1989.,rows=1): .. executing
INFO [2024-05-09 13:37:01,961] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Paul Smolensky. Information processing in dynamical systems: Foundations of harmony theory.
In D. E. Rumelhart and J. L. McClelland, editors, Parallel Distributed Processing, volume 1,
chapter 6, pages 194-281. MIT Press, Cambridge, 1986.,rows=1): New request in the pool
INFO [2024-05-09 13:37:02,018] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ACCESS.2018.2870052): New request in the pool
INFO [2024-05-09 13:37:02,036] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Paul Smolensky. Information processing in dynamical systems: Foundations of harmony theory.
In D. E. Rumelhart and J. L. McClelland, editors, Parallel Distributed Processing, volume 1,
chapter 6, pages 194-281. MIT Press, Cambridge, 1986.,rows=1): .. executing
INFO [2024-05-09 13:37:02,068] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ACCESS.2018.2870052): .. executing
INFO [2024-05-09 13:37:04,117] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.ijhm.2019.01.003): New request in the pool
INFO [2024-05-09 13:37:04,150] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. Extracting
and composing robust features with denoising autoencoders. In Andrew McCallum and Sam
Roweis, editors, Proceedings of the 25th Annual International Conference on Machine Learning
(ICML 2008), pages 1096-1103. Omnipress, 2008. URL http://icml2008.cs.helsinki.fi/
papers/592.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:37:04,182] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol. Extracting
and composing robust features with denoising autoencoders. In Andrew McCallum and Sam
Roweis, editors, Proceedings of the 25th Annual International Conference on Machine Learning
(ICML 2008), pages 1096-1103. Omnipress, 2008. URL http://icml2008.cs.helsinki.fi/
papers/592.pdf.,rows=1): .. executing
INFO [2024-05-09 13:37:04,182] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.ijhm.2019.01.003): .. executing
INFO [2024-05-09 13:37:04,408] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ingo Wegener. The Complexity of Boolean Functions. John Wiley & Sons, 1987.,rows=1): New request in the pool
INFO [2024-05-09 13:37:04,456] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Max Welling and Geoffrey E. Hinton. A new learning algorithm for mean field boltzmann machines.
In ICANN '02: Proceedings of the International Conference on Artificial Neural Networks, pages
351-357, London, UK, 2002. Springer-Verlag. ISBN 3-540-44074-7.,rows=1): New request in the pool
INFO [2024-05-09 13:37:04,466] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Ingo Wegener. The Complexity of Boolean Functions. John Wiley & Sons, 1987.,rows=1): .. executing
INFO [2024-05-09 13:37:04,603] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Max Welling and Geoffrey E. Hinton. A new learning algorithm for mean field boltzmann machines.
In ICANN '02: Proceedings of the International Conference on Artificial Neural Networks, pages
351-357, London, UK, 2002. Springer-Verlag. ISBN 3-540-44074-7.,rows=1): .. executing
INFO [2024-05-09 13:37:04,775] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Max Welling, Michal Rosen-Zvi, and Geoffrey E. Hinton. Exponential family harmoniums with an
application to information retrieval. In L.K. Saul, Y. Weiss, and L. Bottou, editors, Advances in
Neural Information Processing Systems 17. MIT Press, 2005.,rows=1): New request in the pool
INFO [2024-05-09 13:37:04,800] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Jason Weston, Frédéric Ratle, and Ronan Collobert. Deep learning via semi-supervised em-
bedding. In Proceedings of the Twenty-fifth International Conference on Machine Learn-
ing (ICML 2008), 2008. URL http://www.kyb.tuebingen.mpg.de/bs/people/weston/
papers/deep-embed.pdf.,rows=1): New request in the pool
INFO [2024-05-09 13:37:04,805] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Max Welling, Michal Rosen-Zvi, and Geoffrey E. Hinton. Exponential family harmoniums with an
application to information retrieval. In L.K. Saul, Y. Weiss, and L. Bottou, editors, Advances in
Neural Information Processing Systems 17. MIT Press, 2005.,rows=1): .. executing
INFO [2024-05-09 13:37:04,845] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Jason Weston, Frédéric Ratle, and Ronan Collobert. Deep learning via semi-supervised em-
bedding. In Proceedings of the Twenty-fifth International Conference on Machine Learn-
ing (ICML 2008), 2008. URL http://www.kyb.tuebingen.mpg.de/bs/people/weston/
papers/deep-embed.pdf.,rows=1): .. executing
INFO [2024-05-09 13:37:05,393] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Andrew Yao. Separating the polynomial-time hierarchy by oracles. In Proceedings of the 26th
Annual IEEE Symposium on Foundations of Computer Science, pages 1-10, 1985.,rows=1): New request in the pool
INFO [2024-05-09 13:37:05,410] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Amorós, L., Hafiz, S. M., Lee, K., & Tol, M. C. (2020). Gimme that
model!: A trusted ML model trading protocol. arXiv:2003.00610,rows=1): New request in the pool
INFO [2024-05-09 13:37:05,410] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.24963/ijcai.2019/932): New request in the pool
INFO [2024-05-09 13:37:05,410] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Bastan, M., Ramisa, A., & Tek, M. (2020). Cross-modal fashion product
search with transformer-based Embeddings. CVPR Workshop -3rd
workshop on Computer Vision for Fashion, Art and Design, Seattle:
Washington.,rows=1): New request in the pool
INFO [2024-05-09 13:37:05,412] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Andrew Yao. Separating the polynomial-time hierarchy by oracles. In Proceedings of the 26th
Annual IEEE Symposium on Foundations of Computer Science, pages 1-10, 1985.,rows=1): .. executing
INFO [2024-05-09 13:37:05,421] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Bastan, M., Ramisa, A., & Tek, M. (2020). Cross-modal fashion product
search with transformer-based Embeddings. CVPR Workshop -3rd
workshop on Computer Vision for Fashion, Art and Design, Seattle:
Washington.,rows=1): .. executing
INFO [2024-05-09 13:37:05,421] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Amorós, L., Hafiz, S. M., Lee, K., & Tol, M. C. (2020). Gimme that
model!: A trusted ML model trading protocol. arXiv:2003.00610,rows=1): .. executing
INFO [2024-05-09 13:37:05,422] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.24963/ijcai.2019/932): .. executing
INFO [2024-05-09 13:37:06,311] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Bishop, C. M. (2006). Pattern recognition and machine learning
(Information science and statistics). Springer-Verlag New York,
Inc.,rows=1): New request in the pool
INFO [2024-05-09 13:37:06,317] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelli-
gence. Harvard Business Review, 1-20.,rows=1): New request in the pool
INFO [2024-05-09 13:37:06,323] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Bishop, C. M. (2006). Pattern recognition and machine learning
(Information science and statistics). Springer-Verlag New York,
Inc.,rows=1): .. executing
INFO [2024-05-09 13:37:06,332] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelli-
gence. Harvard Business Review, 1-20.,rows=1): .. executing
INFO [2024-05-09 13:37:06,877] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.matcom.2008.01.028): New request in the pool
INFO [2024-05-09 13:37:06,899] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2005.177): New request in the pool
INFO [2024-05-09 13:37:06,909] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/0167-8655(94)90052-3): New request in the pool
INFO [2024-05-09 13:37:06,911] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.matcom.2008.01.028): .. executing
INFO [2024-05-09 13:37:06,916] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2005.177): .. executing
INFO [2024-05-09 13:37:06,930] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/0167-8655(94)90052-3): .. executing
INFO [2024-05-09 13:37:07,802] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2018.00175): New request in the pool
INFO [2024-05-09 13:37:07,824] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2018.00175): .. executing
INFO [2024-05-09 13:37:07,825] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00384-5): New request in the pool
INFO [2024-05-09 13:37:07,825] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Machine learning and deep learning,rows=1): New request in the pool
INFO [2024-05-09 13:37:07,825] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Fuchs, D. J. (2018). The dangers of human-like Bias in machine-learning
algorithms. Missouri S&T's Peer to Peer, 2(1), 15.,rows=1): New request in the pool
INFO [2024-05-09 13:37:07,825] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1145/2523813): New request in the pool
INFO [2024-05-09 13:37:07,831] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Machine learning and deep learning,rows=1): .. executing
INFO [2024-05-09 13:37:07,833] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00384-5): .. executing
INFO [2024-05-09 13:37:07,835] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Fuchs, D. J. (2018). The dangers of human-like Bias in machine-learning
algorithms. Missouri S&T's Peer to Peer, 2(1), 15.,rows=1): .. executing
INFO [2024-05-09 13:37:07,835] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1145/2523813): .. executing
INFO [2024-05-09 13:37:08,760] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=García, S., & Herrera, F. (2008). An extension on "statistical comparisons
of classifiers over multiple data sets" for all pairwise comparisons.
Journal of Machine Learning Research, 9(89), 2677-2694.,rows=1): New request in the pool
INFO [2024-05-09 13:37:08,871] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. The
MIT Press.,rows=1): New request in the pool
INFO [2024-05-09 13:37:08,875] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=García, S., & Herrera, F. (2008). An extension on "statistical comparisons
of classifiers over multiple data sets" for all pairwise comparisons.
Journal of Machine Learning Research, 9(89), 2677-2694.,rows=1): .. executing
INFO [2024-05-09 13:37:08,878] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.cirpj.2015.05.004): New request in the pool
INFO [2024-05-09 13:37:08,883] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. The
MIT Press.,rows=1): .. executing
INFO [2024-05-09 13:37:08,890] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.cirpj.2015.05.004): .. executing
INFO [2024-05-09 13:37:08,964] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1002/rob.21918): New request in the pool
INFO [2024-05-09 13:37:08,996] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1002/9780470939376.ch25): New request in the pool
INFO [2024-05-09 13:37:08,996] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1002/rob.21918): .. executing
INFO [2024-05-09 13:37:09,008] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Heinrich, K., Graf, J., Chen, J., Laurisch, J., & Zschech, P. (2020).
Fool me once, shame on you, fool me twice, shame on me: A
taxonomy of attack and defense patterns for AI security.
Proceedings of the 28th European Conference on Information
Systems (ECIS).,rows=1): New request in the pool
INFO [2024-05-09 13:37:09,010] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1002/9780470939376.ch25): .. executing
INFO [2024-05-09 13:37:09,024] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Heinrich, K., Graf, J., Chen, J., Laurisch, J., & Zschech, P. (2020).
Fool me once, shame on you, fool me twice, shame on me: A
taxonomy of attack and defense patterns for AI security.
Proceedings of the 28th European Conference on Information
Systems (ECIS).,rows=1): .. executing
INFO [2024-05-09 13:37:09,530] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Heinrich, K., Möller, B., Janiesch, C., & Zschech, P. (2019). Is Bigger
Always Better? Lessons Learnt from the Evolution of Deep
Learning Architectures for Image Classification. Proceedings of
the 2019 Pre-ICIS SIGDSA Symposium. https://aisel.aisnet.org/
sigdsa2019/20,rows=1): New request in the pool
INFO [2024-05-09 13:37:09,582] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.dss.2021.113494): New request in the pool
INFO [2024-05-09 13:37:09,586] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Heinrich, K., Möller, B., Janiesch, C., & Zschech, P. (2019). Is Bigger
Always Better? Lessons Learnt from the Evolution of Deep
Learning Architectures for Image Classification. Proceedings of
the 2019 Pre-ICIS SIGDSA Symposium. https://aisel.aisnet.org/
sigdsa2019/20,rows=1): .. executing
INFO [2024-05-09 13:37:09,605] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.dss.2021.113494): .. executing
INFO [2024-05-09 13:37:09,691] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ARSO.2017.8025197): New request in the pool
INFO [2024-05-09 13:37:09,701] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ARSO.2017.8025197): .. executing
INFO [2024-05-09 13:37:09,779] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.procs.2018.10.340): New request in the pool
INFO [2024-05-09 13:37:09,785] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1126/science.aaa8415): New request in the pool
INFO [2024-05-09 13:37:09,795] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1126/science.aaa8415): .. executing
INFO [2024-05-09 13:37:09,805] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.procs.2018.10.340): .. executing
INFO [2024-05-09 13:37:10,174] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s10462-007-9052-3): New request in the pool
INFO [2024-05-09 13:37:10,209] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00351-0): New request in the pool
INFO [2024-05-09 13:37:10,215] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s10462-007-9052-3): .. executing
INFO [2024-05-09 13:37:10,225] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/nature14539): New request in the pool
INFO [2024-05-09 13:37:10,232] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.3390/proceedings47010009): New request in the pool
INFO [2024-05-09 13:37:10,236] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00351-0): .. executing
INFO [2024-05-09 13:37:10,237] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/nature14539): .. executing
INFO [2024-05-09 13:37:10,261] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.3390/proceedings47010009): .. executing
INFO [2024-05-09 13:37:10,465] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/978-981-15-5573-2): New request in the pool
INFO [2024-05-09 13:37:10,465] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1023/B:VISI.0000029664.99615.94): New request in the pool
INFO [2024-05-09 13:37:10,465] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s41746-017-0013-1): New request in the pool
INFO [2024-05-09 13:37:10,465] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.artint.2018.07.007): New request in the pool
INFO [2024-05-09 13:37:10,465] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ACCESS.2019.2905015): New request in the pool
INFO [2024-05-09 13:37:10,467] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.artint.2018.07.007): .. executing
INFO [2024-05-09 13:37:10,467] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s41746-017-0013-1): .. executing
INFO [2024-05-09 13:37:10,470] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/978-981-15-5573-2): .. executing
INFO [2024-05-09 13:37:10,471] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1023/B:VISI.0000029664.99615.94): .. executing
INFO [2024-05-09 13:37:10,476] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ACCESS.2019.2905015): .. executing
INFO [2024-05-09 13:37:11,711] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ICMLA.2016.0172): New request in the pool
INFO [2024-05-09 13:37:11,746] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.25300/MISQ/2020/14458): New request in the pool
INFO [2024-05-09 13:37:11,751] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/ICMLA.2016.0172): .. executing
INFO [2024-05-09 13:37:11,755] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s10994-013-5340-0): New request in the pool
INFO [2024-05-09 13:37:11,761] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.25300/MISQ/2020/14458): .. executing
INFO [2024-05-09 13:37:11,782] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1145/3234150): New request in the pool
INFO [2024-05-09 13:37:11,789] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s10994-013-5340-0): .. executing
INFO [2024-05-09 13:37:11,821] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1145/3234150): .. executing
INFO [2024-05-09 13:37:11,861] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.procs.2018.10.326): New request in the pool
INFO [2024-05-09 13:37:11,895] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s42256-019-0048-x): New request in the pool
INFO [2024-05-09 13:37:11,895] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern
approach (4th ed.). Pearson.,rows=1): New request in the pool
INFO [2024-05-09 13:37:11,902] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s42256-019-0048-x): .. executing
INFO [2024-05-09 13:37:11,904] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.procs.2018.10.326): .. executing
INFO [2024-05-09 13:37:11,954] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Russell, S. J., & Norvig, P. (2021). Artificial intelligence: A modern
approach (4th ed.). Pearson.,rows=1): .. executing
INFO [2024-05-09 13:37:13,149] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/0306-4573(88)90021-0): New request in the pool
INFO [2024-05-09 13:37:13,169] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.neunet.2014.09.003): New request in the pool
INFO [2024-05-09 13:37:13,178] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1017/S0140525X00005756): New request in the pool
INFO [2024-05-09 13:37:13,178] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00393-4): New request in the pool
INFO [2024-05-09 13:37:13,183] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.neunet.2014.09.003): .. executing
INFO [2024-05-09 13:37:13,447] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/s12525-019-00393-4): .. executing
INFO [2024-05-09 13:37:13,461] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1017/S0140525X00005756): .. executing
INFO [2024-05-09 13:37:13,489] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/0306-4573(88)90021-0): .. executing
INFO [2024-05-09 13:37:14,702] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.2307/23042796): New request in the pool
INFO [2024-05-09 13:37:14,771] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.jbusres.2020.09.068): New request in the pool
INFO [2024-05-09 13:37:14,781] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.2307/23042796): .. executing
INFO [2024-05-09 13:37:14,788] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1126/science.aar6404): New request in the pool
INFO [2024-05-09 13:37:14,791] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Spooner, T., Fearnley, J., Savani, R., & Koukorinis, A. (2018). Market
making via reinforcement learning. Proceedings of the 17th
International Conference on Autonomous Agents and MultiAgent
systems, 434-442. arXiv:1804.04216v1,rows=1): New request in the pool
INFO [2024-05-09 13:37:14,802] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1016/j.jbusres.2020.09.068): .. executing
INFO [2024-05-09 13:37:14,803] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G.,
Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-
Brown, Kevin, Parkes, D., Press, W., Saxenian, A. L., Shah, J.,
Milind Tambe, & Teller, A. (2016). Artificial Intelligence and Life
i n 2 0 3 0 : t h e o n e h u n d r e d y e a r s t u d y o n a r t i f i c i a l
intelligence (Report of the 2015-2016 study panel). Stanford
University. https://ai100.stanford.edu/2016-report,rows=1): New request in the pool
INFO [2024-05-09 13:37:14,808] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Spooner, T., Fearnley, J., Savani, R., & Koukorinis, A. (2018). Market
making via reinforcement learning. Proceedings of the 17th
International Conference on Autonomous Agents and MultiAgent
systems, 434-442. arXiv:1804.04216v1,rows=1): .. executing
INFO [2024-05-09 13:37:14,814] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2001.990517): New request in the pool
INFO [2024-05-09 13:37:14,820] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G.,
Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-
Brown, Kevin, Parkes, D., Press, W., Saxenian, A. L., Shah, J.,
Milind Tambe, & Teller, A. (2016). Artificial Intelligence and Life
i n 2 0 3 0 : t h e o n e h u n d r e d y e a r s t u d y o n a r t i f i c i a l
intelligence (Report of the 2015-2016 study panel). Stanford
University. https://ai100.stanford.edu/2016-report,rows=1): .. executing
INFO [2024-05-09 13:37:14,821] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1126/science.aar6404): .. executing
INFO [2024-05-09 13:37:14,827] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/TSC.2020.3000900): New request in the pool
INFO [2024-05-09 13:37:14,834] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Wanner, J., Heinrich, K., Janiesch, C., & Zschech, P. (2020). How much
AI do you require? Decision factors for adopting AI technology.
Proceedings of the 41st International Conference on Information
Systems (ICIS).,rows=1): New request in the pool
INFO [2024-05-09 13:37:14,836] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/CVPR.2001.990517): .. executing
INFO [2024-05-09 13:37:14,838] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/TSC.2020.3000900): .. executing
INFO [2024-05-09 13:37:14,840] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.22215/timreview/1282): New request in the pool
INFO [2024-05-09 13:37:14,846] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Wanner, J., Heinrich, K., Janiesch, C., & Zschech, P. (2020). How much
AI do you require? Decision factors for adopting AI technology.
Proceedings of the 41st International Conference on Information
Systems (ICIS).,rows=1): .. executing
INFO [2024-05-09 13:37:14,846] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/BF00116900): New request in the pool
INFO [2024-05-09 13:37:14,851] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.22215/timreview/1282): .. executing
INFO [2024-05-09 13:37:14,865] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1007/BF00116900): .. executing
INFO [2024-05-09 13:37:15,398] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.18653/v1/D18-1310): New request in the pool
INFO [2024-05-09 13:37:15,421] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.18653/v1/D18-1310): .. executing
INFO [2024-05-09 13:37:15,985] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018). Recent trends
in deep learning based natural language processing [review article].,rows=1): New request in the pool
INFO [2024-05-09 13:37:16,025] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/MCI.2018.2840738): New request in the pool
INFO [2024-05-09 13:37:16,039] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Young, T., Hazarika, D., Poria, S., & Cambria, E. (2018). Recent trends
in deep learning based natural language processing [review article].,rows=1): .. executing
INFO [2024-05-09 13:37:16,062] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s41524-018-0081-z): New request in the pool
INFO [2024-05-09 13:37:16,067] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1109/MCI.2018.2840738): .. executing
INFO [2024-05-09 13:37:16,085] org.grobid.core.utilities.crossref.CrossrefClient: (,rows=1,doi=10.1038/s41524-018-0081-z): .. executing
INFO [2024-05-09 13:37:16,279] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Publisher's note Springer Nature remains neutral with regard to jurisdic-
tional claims in published maps and institutional affiliations.,rows=1): New request in the pool
INFO [2024-05-09 13:37:16,325] org.grobid.core.utilities.crossref.CrossrefClient: (,query.bibliographic=Publisher's note Springer Nature remains neutral with regard to jurisdic-
tional claims in published maps and institutional affiliations.,rows=1): .. executing
INFO [2024-05-09 13:37:26,596] org.grobid.core.document.Document: Standalone figure on page: 3
INFO [2024-05-09 13:37:26,609] org.grobid.core.document.Document: Standalone figure on page: 4
INFO [2024-05-09 13:37:26,609] org.grobid.core.document.Document: Standalone figure on page: 5
172.17.0.1 - - [09/May/2024:13:37:29 +0000] "POST /api/processFulltextDocument HTTP/1.1" 200 42199 "-" "python-requests/2.31.0" 531949
INFO [2024-05-09 13:37:34,251] org.grobid.core.document.Document: Standalone figure on page: 25
172.17.0.1 - - [09/May/2024:13:37:43 +0000] "POST /api/processFulltextDocument HTTP/1.1" 200 131039 "-" "python-requests/2.31.0" 546417
ERROR [2024-05-09 13:37:44,145] org.glassfish.jersey.server.ServerRuntime$Responder: An I/O error has occurred while writing a response message entity to the container output stream.
! java.io.IOException: Broken pipe
! at sun.nio.ch.FileDispatcherImpl.writev0(Native Method)
! at sun.nio.ch.SocketDispatcher.writev(SocketDispatcher.java:51)
! at sun.nio.ch.IOUtil.write(IOUtil.java:148)
! at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:503)
! at org.eclipse.jetty.io.ChannelEndPoint.flush(ChannelEndPoint.java:264)
! ... 88 common frames omitted
! Causing: org.eclipse.jetty.io.EofException: null
! at org.eclipse.jetty.io.ChannelEndPoint.flush(ChannelEndPoint.java:284)
! at org.eclipse.jetty.io.WriteFlusher.flush(WriteFlusher.java:393)
! at org.eclipse.jetty.io.WriteFlusher.write(WriteFlusher.java:277)
! at org.eclipse.jetty.io.AbstractEndPoint.write(AbstractEndPoint.java:380)
! at org.eclipse.jetty.server.HttpConnection$SendCallback.process(HttpConnection.java:820)
! at org.eclipse.jetty.util.IteratingCallback.processing(IteratingCallback.java:241)
! at org.eclipse.jetty.util.IteratingCallback.iterate(IteratingCallback.java:224)
! at org.eclipse.jetty.server.HttpConnection.send(HttpConnection.java:550)
! at org.eclipse.jetty.server.HttpChannel.sendResponse(HttpChannel.java:850)
! at org.eclipse.jetty.server.HttpChannel.write(HttpChannel.java:921)
! at org.eclipse.jetty.server.HttpOutput.write(HttpOutput.java:249)
! at org.eclipse.jetty.server.HttpOutput.write(HttpOutput.java:225)
! at org.eclipse.jetty.server.HttpOutput.write(HttpOutput.java:524)
! at org.glassfish.jersey.servlet.internal.ResponseWriter$NonCloseableOutputStreamWrapper.write(ResponseWriter.java:325)
! at org.glassfish.jersey.message.internal.CommittingOutputStream.write(CommittingOutputStream.java:229)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor$UnCloseableOutputStream.write(WriterInterceptorExecutor.java:299)
! at sun.nio.cs.StreamEncoder.writeBytes(StreamEncoder.java:221)
! at sun.nio.cs.StreamEncoder.implWrite(StreamEncoder.java:282)
! at sun.nio.cs.StreamEncoder.write(StreamEncoder.java:125)
! at sun.nio.cs.StreamEncoder.write(StreamEncoder.java:135)
! at java.io.OutputStreamWriter.write(OutputStreamWriter.java:220)
! at org.glassfish.jersey.message.internal.ReaderWriter.writeToAsString(ReaderWriter.java:192)
! at org.glassfish.jersey.message.internal.AbstractMessageReaderWriterProvider.writeToAsString(AbstractMessageReaderWriterProvider.java:130)
! at org.glassfish.jersey.message.internal.StringMessageProvider.writeTo(StringMessageProvider.java:99)
! at org.glassfish.jersey.message.internal.StringMessageProvider.writeTo(StringMessageProvider.java:59)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor$TerminalWriterInterceptor.invokeWriteTo(WriterInterceptorExecutor.java:265)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor$TerminalWriterInterceptor.aroundWriteTo(WriterInterceptorExecutor.java:250)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor.proceed(WriterInterceptorExecutor.java:162)
! at org.glassfish.jersey.server.internal.JsonWithPaddingInterceptor.aroundWriteTo(JsonWithPaddingInterceptor.java:106)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor.proceed(WriterInterceptorExecutor.java:162)
! at org.glassfish.jersey.server.internal.MappableExceptionWrapperInterceptor.aroundWriteTo(MappableExceptionWrapperInterceptor.java:86)
! ... 58 common frames omitted
! Causing: org.glassfish.jersey.server.internal.process.MappableException: org.eclipse.jetty.io.EofException
! at org.glassfish.jersey.server.internal.MappableExceptionWrapperInterceptor.aroundWriteTo(MappableExceptionWrapperInterceptor.java:92)
! at org.glassfish.jersey.message.internal.WriterInterceptorExecutor.proceed(WriterInterceptorExecutor.java:162)
! at org.glassfish.jersey.message.internal.MessageBodyFactory.writeTo(MessageBodyFactory.java:1130)
! at org.glassfish.jersey.server.ServerRuntime$Responder.writeResponse(ServerRuntime.java:711)
! at org.glassfish.jersey.server.ServerRuntime$Responder.processResponse(ServerRuntime.java:444)
! at org.glassfish.jersey.server.ServerRuntime$Responder.process(ServerRuntime.java:434)
! at org.glassfish.jersey.server.ServerRuntime$2.run(ServerRuntime.java:329)
! at org.glassfish.jersey.internal.Errors$1.call(Errors.java:271)
! at org.glassfish.jersey.internal.Errors$1.call(Errors.java:267)
! at org.glassfish.jersey.internal.Errors.process(Errors.java:315)
! at org.glassfish.jersey.internal.Errors.process(Errors.java:297)
! at org.glassfish.jersey.internal.Errors.process(Errors.java:267)
! at org.glassfish.jersey.process.internal.RequestScope.runInScope(RequestScope.java:317)
! at org.glassfish.jersey.server.ServerRuntime.process(ServerRuntime.java:305)
! at org.glassfish.jersey.server.ApplicationHandler.handle(ApplicationHandler.java:1154)
! at org.glassfish.jersey.servlet.WebComponent.serviceImpl(WebComponent.java:473)
! at org.glassfish.jersey.servlet.WebComponent.service(WebComponent.java:427)
! at org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:388)
! at org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:341)
! at org.glassfish.jersey.servlet.ServletContainer.service(ServletContainer.java:228)
! at io.dropwizard.jetty.NonblockingServletHolder.handle(NonblockingServletHolder.java:49)
! at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1623)
! at io.dropwizard.servlets.ThreadNameFilter.doFilter(ThreadNameFilter.java:35)
! at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1610)
! at io.dropwizard.jersey.filter.AllowedMethodsFilter.handle(AllowedMethodsFilter.java:45)
! at io.dropwizard.jersey.filter.AllowedMethodsFilter.doFilter(AllowedMethodsFilter.java:39)
! at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1610)
! at org.eclipse.jetty.servlets.CrossOriginFilter.handle(CrossOriginFilter.java:311)
! at org.eclipse.jetty.servlets.CrossOriginFilter.doFilter(CrossOriginFilter.java:265)
! at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1610)
! at com.google.inject.servlet.FilterChainInvocation.doFilter(FilterChainInvocation.java:89)
! at com.google.inject.servlet.ManagedFilterPipeline.dispatch(ManagedFilterPipeline.java:120)
! at com.google.inject.servlet.GuiceFilter.doFilter(GuiceFilter.java:135)
! at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1610)
! at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:540)
! at org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255)
! at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1345)
! at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203)
! at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:480)
! at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201)
! at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1247)
! at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144)
! at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)
! at com.codahale.metrics.jetty9.InstrumentedHandler.handle(InstrumentedHandler.java:239)
! at io.dropwizard.jetty.RoutingHandler.handle(RoutingHandler.java:52)
! at org.eclipse.jetty.server.handler.gzip.GzipHandler.handle(GzipHandler.java:703)
! at io.dropwizard.jetty.BiDiGzipHandler.handle(BiDiGzipHandler.java:67)
! at org.eclipse.jetty.server.handler.RequestLogHandler.handle(RequestLogHandler.java:56)
! at org.eclipse.jetty.server.handler.StatisticsHandler.handle(StatisticsHandler.java:174)
! at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132)
! at org.eclipse.jetty.server.Server.handle(Server.java:505)
! at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:370)
! at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:267)
! at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:305)
! at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:103)
! at org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:117)
! at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:698)
! at org.eclipse.jetty.util.thread.QueuedThreadPool$Runner.run(QueuedThreadPool.java:804)
! at java.lang.Thread.run(Thread.java:748)
172.17.0.1 - - [09/May/2024:13:37:44 +0000] "POST /api/processFulltextDocument HTTP/1.1" 200 163840 "-" "python-requests/2.31.0" 546712

kermitt2 · 2024-05-09T14:28:08Z

Hello @tinotendamarufetu

This is not related to Grobid, but to the client.

Are you using https://github.com/kermitt2/grobid_client_python ?
If yes, you can either simply use the command line https://github.com/kermitt2/grobid_client_python?tab=readme-ov-file#usage-and-options

grobid_client --input path_to_input_dir --output path_to_output_dir processFulltextDocument

or see https://github.com/kermitt2/grobid_client_python?tab=readme-ov-file#using-the-client-in-your-python how to call it from a python script.

There is no method "process" in this client that returns the resulting XML TEI string, process() will read and write files from the input directory. You can use process_pdf() to process individual input files and get return the XML string, but the client is doing exactly what you want (read/write files), already managing concurrent processing.

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Grobid Returned None #1112

Grobid Returned None #1112

tinotendamarufetu commented May 6, 2024

lfoppiano commented May 9, 2024

tinotendamarufetu commented May 9, 2024

kermitt2 commented May 9, 2024

Grobid Returned None #1112

Grobid Returned None #1112

Comments

tinotendamarufetu commented May 6, 2024

Process each PDF in the input directory

lfoppiano commented May 9, 2024

tinotendamarufetu commented May 9, 2024

kermitt2 commented May 9, 2024