Skip to content
View avakanski's full-sized avatar

Highlights

  • Pro
Block or Report

Block or report avakanski

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned

  1. Fall-2022-Python-Programming-for-Data-Science Fall-2022-Python-Programming-for-Data-Science Public

    Course page for CS 404/504 Python Programming for Data Science taught in Fall 2022, University of Idaho.

    Jupyter Notebook 14 13

  2. A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises Public

    A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.

    Jupyter Notebook 45 18

  3. Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling Public

    An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.

    Jupyter Notebook 5 1

  4. Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis Public

    Empirical study that reports the correlation between complexity measures and generalization performance by deep learning models on medical images

    Jupyter Notebook 13 1

  5. Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation Public

    Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

    Jupyter Notebook 34 10