avakanski

A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises

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

Adversarial-Machine-Learning-Defenses

Defenses against white-box evasion attacks

Adversarial-Machine-Learning-for-Cybersecurity-Applications

Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation

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

Creep-uncertainty-quantification

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

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

Fall-2022-Python-Programming-for-Data-Science

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

Fall-2023-Python-Programming-for-Data-Science

Fatigue-Life-Prediction

Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning

Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling

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

avakanski/A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises

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

avakanski/Attention-Enriched-DL-Model-for-Breast-Tumor-Segmentation

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

avakanski/Fall-2022-Python-Programming-for-Data-Science

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

avakanski/Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis

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

avakanski/Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling

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

avakanski/Fatigue-Life-Prediction

Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning

avakanski/Fall-2023-Python-Programming-for-Data-Science

avakanski/Adversarial-Machine-Learning-Defenses

Defenses against white-box evasion attacks

avakanski/Adversarial-Machine-Learning-for-Cybersecurity-Applications

avakanski/Creep-uncertainty-quantification

avakanski/CS-504-Final-Project-Fall-2021

CS 504 Final Project (Fall 2021) - Transferability attack

avakanski/CS_504_Assignment3_Vakanski

Assignment 3 For Adversarial Machine Learning University of Idaho Spring 2023

avakanski/Adversarial-Machine-Learning-LFW

avakanski/Adversarial_machine_learning_GTSRB

avakanski/adversarial_trading_failure_prediction01

avakanski/Charpy-Impact-Test-Dataset

A dataset of Charpy V-notch impact test records for nuclear structural materials

avakanski/CS504-FinalProject

avakanski/CS504_AML_Course_Homework1

avakanski/Fall-2024-Applied-Data-Science-with-Python

avakanski/Subsized-Specimens-Tensile-Properties

avakanski/White-box-evasion-attacks-on-the-BelgiumTS-BTSC-dataset

Applying four white-box evasion attacks against two deep learning classification models on the BelgiumTS (BTSC) dataset.