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fmenat/README.md

Hi there 👋, I am Francisco Mena

Computer Science PhD candidate at University of Kaiserslautern-Landau (RPTU) & Research Assistance at the German Research Centre for Artificial Intelligence (DFKI) 🇩🇪

Interested in my research?

Into Artificial Intelligence for Earth Observation (AI4EO) 📡

Here I share the different areas where I have worked:

  • Missing Data in AI4EO: I started to explore this topic at the start of my PhD inside the ESALab group under the supervision of Professor Andreas Dengel and co-supervisor Diego Arenas.

Conference papers: IGARSS 24 (additional material: slides, code), ICLR workshop (additional material: poster, code)

  • Artificial Intelligence for Earth Observation 📡: I started to explore this topic when joining the ESALab group at DFKI under the supervision of Marlon Nuske.

Survey Paper on JSTARS
Conference paper: on Crop Classification IGARSS 23' (additional material: preprint, slides , code), on Crop Yield Prediction IGARSS 23' (additional material: preprint, slides)
Small library: MVLearning

  • Crowdsourcing: I started to explore this topic during my Master's thesis under the supervision of Professor Ricardo Ñanculef. You can find my different contributions to the scientific community here:

Journal Paper: IDA 20' (additional material: preprint, code)
Conference Paper: CIARP 19' (additional material: preprint, slides)
Small library: PyLearningCrowds

  • Astroinformatics: I started to explore this topic during my involvement with ChiVO and with the collaboration of Professor Marcelo Araya. You can find my different contributions to the scientific community here:

Journal paper: CLEI-EJ 19' (additional material: code), Astronomy and Computing 21' (additional material: preprint, poster, code), Signals 21' (additional material: poster, code)
Conference paper: CLEI 18' (additional material: preprint, poster, slides, extended slides), ADASS 19' (additional material: poster)

  • Similarity Search: I started to explore this topic in a course project of Professor Marcelo Mendoza and further development with Professor Ricardo Ñanculef and with a recent collaboration with the Univ. of Bologna. You can find my different contributions to the scientific community here:

Journal paper: IDA 20' (additional material: preprint, code)
Conference papers: CIARP 19' (additional material: preprint,slides), CIARP 21' ( preprint, slides, code)

More on my website.

Popular repositories

  1. MultiviewCropClassification MultiviewCropClassification Public

    Public repository of our IGARSS 2023 submission

    Python 13 1

  2. PyLearningCrowds PyLearningCrowds Public

    Some learning from crowds methods implemented in Python

    Jupyter Notebook 6 1

  3. multiviewRS-models multiviewRS-models Public

    List of multi-view fusion learning models proposed for remote sensing (RS) multi-view data. Extension from our JSTAR paper.

    6

  4. multiviewRS-datasets multiviewRS-datasets Public

    List of remote sensing (RS) multi-view datasets for exploring multi-view fusion learning. Extension from our JSTAR paper.

    4

  5. landcovernet_startup landcovernet_startup Public

    Developing code for manage LandCoverNet dataset

    Jupyter Notebook 2

  6. Redes-Complejas-1 Redes-Complejas-1 Public

    Forked from francisco4perez/Redes-Complejas-1

    Python 1