A machine learning platform to estimate anti-SARS-CoV-2 activities GB Kc, G Bocci, S Verma, MM Hassan, J Holmes, JJ Yang, S Sirimulla, ... Nature Machine Intelligence 3 (6), 527-535, 2021 | 58 | 2021 |
Local Context Normalization: Revisiting Local Normalization A Ortiz, C Robinson, MM Hassan, D Morris, O Fuentes, C Kiekintveld, ... arXiv preprint arXiv:1912.05845, 2019 | 30 | 2019 |
DLSCORE: A deep learning model for predicting protein-ligand binding affinities M Hassan, DC Mogollon, O Fuentes | 27 | 2018 |
KinasepKipred: A Predictive Model for Estimating Ligand-Kinase Inhibitor Constant (pKi) KC Govinda, MM Hassan, S Sirimulla BioRxiv, 798561, 2019 | 7 | 2019 |
Enhancing image classification capabilities of crowdsourcing-based methods through expanded input elicitation R Yasmin, JT Grassel, MM Hassan, O Fuentes, AR Escobedo Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021 | 6 | 2021 |
Improving crowdsourcing-based image classification through expanded input elicitation and machine learning R Yasmin, MM Hassan, JT Grassel, H Bhogaraju, AR Escobedo, ... Frontiers in Artificial Intelligence 5, 848056, 2022 | 5 | 2022 |
REDIAL-2020: A suite of machine learning models to estimate Anti-SARS-CoV-2 activities G KC, G Bocci, S Verma, M Hassan, J Holmes, J Yang, TI Oprea | 5 | 2020 |
Deep learning models for scoring protein-ligand interaction energies M Hassan The University of Texas at El Paso, 2018 | 3 | 2018 |
REDIAL-2020: A suite of machine learning models to estimate Anti-SARS-CoV-2 activities KC Govinda, G Bocci, S Verma, M Hassan, J Holmes, JJ Yang, S Sirimulla, ... ChemRxiv, 2021 | 1 | 2021 |
Sparse matrix diagonalization in the NRLMOL electronic structure code MM Hassan | 1 | 2016 |
Increasing the efficiency and accuracy of collective intelligence methods for image classification MM Hassan The University of Texas at El Paso, 2023 | | 2023 |
LigandNet: A machine-learning-based toolkit for predicting ligand activity to proteins MM Hassan, D Castaneda, D Shrestha, I Salama, S Sirimulla ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019 | | 2019 |
In silico models for predicting metabolism by Flavin-Containing Monooxygenases (FMOs) KC Govinda, MM Hassan, S Sirimulla ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 257, 2019 | | 2019 |
Automated workflow for reproducible analysis of protein-ligand scoring functions DC Mogollon, S Sirimulla, MM Hassan ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |
Deep learning based scoring function for predicting protein-ligand binding affinities MM Hassan, D Castaneda, S Sirimulla ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 256, 2018 | | 2018 |