Least square ellipsoid fitting using iterative orthogonal transformations. - Amit Reza; Anand S. Sengupta (Appl. Math. Comput., 2017)

An improved ellipsoid fitting algorithm using iterative random projections. - Amit Reza; Anand S. Sengupta (CoRR, 2017)

Prediction of the disease controllability in a complex network using machine learning algorithms. - Richa Tripathi; Amit Reza; Dinesh Garg (CoRR, 2019)

A subset selection based approach to finding important structure of complex networks. - Richa Tripathi; Amit Reza (CoRR, 2019)

A class of randomized Subset Selection Methods for large complex networks. - Amit Reza; Richa Tripathi (CoRR, 2019)

Detecting the early inspiral of a gravitational-wave signal with convolutional neural networks. - Grégory Baltus; Jean-René Cudell; Justin Janquart; Melissa Lopez; Sarah Caudill; Amit Reza (CBMI, 2021)

Role of Network Topology in Between-Community Beta Diversity on River Networks. - Richa Tripathi; Amit Reza; Justin M. Calabrese (COMPLEX NETWORKS (2), 2022)

A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator. - Firoz Ahmad; Ahmad Yusuf Adhami; Boby John; Amit Reza (RAIRO Oper. Res., 2022)

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis. - Koushik Biswas; Debesh Jha; Nikhil Kumar Tomar; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; Ulas Bagci (MICCAI (9), 2024)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. - Koushik Biswas; Ridam Pal; Shaswat Patel; Debesh Jha; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; et al. (MLMI@MICCAI (1), 2024)

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation. - Koushik Biswas; Ridal Pal; Shaswat Patel; Debesh Jha; Meghana Karri; Amit Reza; Gorkem Durak; Alpay Medetalibeyoglu; Matthew Antalek; Yury Velichko; Daniela P. Ladner; Amir Borhani; et al. (CoRR, 2024)

Machine learning-based classification for Single Photon Space Debris Light Curves. - Nadine M. Trummer; Amit Reza; Michael A. Steindorfer; Christiane Helling (CoRR, 2024)

Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. - Koushik Biswas; Amit Reza; Meghana Karri; Debesh Jha; Hongyi Pan; Nikhil Kumar Tomar; Aliza Subedi; Smriti Regmi; Ulas Bagci (WACV, 2025)

Grid-based exoplanet atmospheric mass loss predictions through neural network. - Amit Reza; Daria Kubyshkina; Luca Fossati; Christiane Helling (CoRR, 2025)

Predicting Steady-State Behavior in Complex Networks with Graph Neural Networks. - Priodyuti Pradhan; Amit Reza (CoRR, 2025)

Earthquake Response Analysis with AI. - Deep Patel; Panthadeep Bhattacharjee; Amit Reza; Priodyuti Pradhan (CoRR, 2025)