rrwabina

CNN-Nodule-Classification

In this repository, we utilized Convolutional Neural Networks (CNN) to develop a binary classification model in detecting nodules in CT scans.

Computational-Statistics

This is the repository for the Computational Statistics course covering numerical linear algebra, Gaussian processes, Newton’s method and optimization, numerical integration, Markov chain Monte Carlo (MCMC), the Bootstrap, density estimation, and machine learning (neural networks and deep learning).

ConductorNetwork

Implementation of Conductor Network for deep learning-based conductivity estimation

CryptoView

NLP-Medical-Specialty-Classification

In this repository, we utilized BERT-based approaches to classify medical specialities using transcription data.

RADI601

Overview of the Health Informatics Discipline

RADI605

The in-depth coverage of machine learning algorithms; statistical objectives of the prediction; classification and clustering; data validation; cluster analysis; establishing predictive and classification models; using machine learning applications in the health analytics; python programming for modern machine learning.

RADI608

Data Mining Lecture and Assignment

SDENet-UQ-ESL

SDENet as Uncertainty Quantification Method for EEG Source Localization

TableOCR

TableNet Implementation via PyTorch

rrwabina/SDENet-UQ-ESL

SDENet as Uncertainty Quantification Method for EEG Source Localization

rrwabina/ConductorNetwork

Implementation of Conductor Network for deep learning-based conductivity estimation

rrwabina/RADI601

Overview of the Health Informatics Discipline

rrwabina/RADI605

The in-depth coverage of machine learning algorithms; statistical objectives of the prediction; classification and clustering; data validation; cluster analysis; establishing predictive and classification models; using machine learning applications in the health analytics; python programming for modern machine learning.

rrwabina/RADI608

Data Mining Lecture and Assignment

rrwabina/SSL4MIS

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

rrwabina/CNN-Nodule-Classification

In this repository, we utilized Convolutional Neural Networks (CNN) to develop a binary classification model in detecting nodules in CT scans.

rrwabina/Computational-Statistics

This is the repository for the Computational Statistics course covering numerical linear algebra, Gaussian processes, Newton’s method and optimization, numerical integration, Markov chain Monte Carlo (MCMC), the Bootstrap, density estimation, and machine learning (neural networks and deep learning).

rrwabina/CryptoView

rrwabina/NLP-Medical-Specialty-Classification

In this repository, we utilized BERT-based approaches to classify medical specialities using transcription data.

rrwabina/TableOCR

TableNet Implementation via PyTorch

rrwabina/UnderstandingDNA

Explore the applications of Natural Language Understanding in Bioinformatics, focusing on the Central Dogma of Molecular Biology,

rrwabina/ChromeHttpRequestBlocker

Chrome extension that allows blocking HTTP request based on URL pattern definitions.

rrwabina/DS413-Deep-Learning

rrwabina/easylist

EasyList filter subscription (EasyList, EasyPrivacy, EasyList Cookie, Fanboy's Social/Annoyances/Notifications Blocking List)

rrwabina/email-bot

rrwabina/Open-Cookie-Database

The Open Cookie Database is an effort to describe and categorise all major cookies. All cookie descriptions are saved in a downloadable CSV file. All contributions to the CSV file are welcomed.

rrwabina/PhD-Literature-Review

This repository summarizes my literature review across different fields of Data Science, Artificial Intelligence, and Informatics and its application to medicine and public health.

rrwabina/Python-for-DS-AI

rrwabina/RADI603

Assignment

rrwabina/RADI604

Collection of Readings and Notes from RADI604: Principles and Concepts of Health Systems

rrwabina/RADI622

rrwabina/RADI623

rrwabina/rrwabina

rrwabina/SDE-Net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

rrwabina/Seq2SeqEpidemics

rrwabina/tadaaah

Cookie Blocker

rrwabina/uncertainty

Here's a simple tutorial on uncertainty quantification using Monte Carlo (MC) dropout. The dropout, originally used to avoid over fitting, can provide model uncertainty. This repository will be updated with new UQ models

rrwabina/uq-course

Introduction to Uncertainty Quantification

rrwabina/VISSIM-Calibration-via-LHD-GA

Latin Hypercube Design + Genetic Algorithm