| Malgorzata Schwab |
PhD (2024) |
Invertible Neural Networks for trustworthy AI |
| Srivani Inturi |
MS (2024) |
Saptiotemporal Forecasting of Ionospheric VTEC using Transformer Model in the Global Scale |
| Javier Pastorino |
PhD (2022) |
Training Machine Learning Models in Various Oblivious Settings |
| Michael Hoover |
MS (2022) |
Convolutional Neural Networks for Segmentation of Brain Tumors |
| James Thiering |
MS (2022) |
Bias mitigation in Visual models through Split-model regularization: demonstrations in engagement classification |
| Nathan Justice |
MS (2020) |
Identification of metastatic tissue (cancer tissues metastasis) in histopathologic scans of lymph node sections |
| Rory Flynn |
MS (2020) |
Predicting Autism Spectrum Disorder from Genome-wide Association Data with Genetic Balancing Generative Adversarial Network |
| Zhelin Yu |
MS (2020) |
Brain Tumor Classification and Segmentation with MRI Images |
| Jian Peng |
MS (2019) |
3D CNN Data Integration platform for ADHD Detection |
| Mohammed Mahdi |
MS (2018) |
Protein Phosphorylation Site Prediction - a deep learning approach |
