| Benchmarking deep learning interpretability in time series predictions AA Ismail, M Gunady, H Corrada Bravo, S Feizi Advances in neural information processing systems 33, 6441-6452, 2020 | 198 | 2020 |
| Input-cell attention reduces vanishing saliency of recurrent neural networks AA Ismail, M Gunady, L Pessoa, H Corrada Bravo, S Feizi Advances in Neural Information Processing Systems 32, 2019 | 56 | 2019 |
| scGAIN: single cell RNA-seq data imputation using generative adversarial networks MK Gunady, J Kancherla, HC Bravo, S Feizi BioRxiv, 837302, 2019 | 12 | 2019 |
| Aggregate Reinforcement Learning for multi-agent territory division: The Hide-and-Seek game M Gunady, W Gomaa, I Takeuchi Engineering Applications of Artificial Intelligence 34, 122-136, 2014 | 11 | 2014 |
| Yanagi: fast and interpretable segment-based alternative splicing and gene expression analysis MK Gunady, SM Mount, H Corrada Bravo BMC bioinformatics 20, 1-19, 2019 | 10* | 2019 |
| Reinforcement learning generalization using state aggregation with a maze-solving problem MK Gunady, W Gomaa 2012 Japan-Egypt Conference on Electronics, Communications and Computers …, 2012 | 9 | 2012 |
| Single-cell transcriptomics identifies prothymosin α restriction of HIV-1 in vivo A Geretz, PK Ehrenberg, RJ Clifford, A Laliberté, C Prelli Bozzo, D Eiser, ... Science Translational Medicine 15 (707), eadg0873, 2023 | 8 | 2023 |
| Feizi MK Gunady, J Kancherla, HC Bravo S. scGAIN: Single cell RNA-seq data imputation using generative adversarial …, 2019 | 5 | 2019 |
| Yanagi: transcript segment library construction for RNA-Seq quantification MK Gunady, S Cornwell, SM Mount, HC Bravo 17th International Workshop on Algorithms in Bioinformatics (WABI 2017), 2017 | 4 | 2017 |
| Multi-agent Task Division Learning in Hide-and-Seek Games M Gunady, W Gomaa, I Takeuchi Artificial Intelligence: Methodology, Systems, and Applications, 256-265, 2012 | 4 | 2012 |
| Applications of Graph Segmentation Algorithms for Quantitative Genomic Analyses MK Gunady University of Maryland, College Park, 2020 | | 2020 |
| Supplementary Material: Benchmarking Deep Learning Interpretability in Time Series Predictions AA Ismail, M Gunady, HC Bravo, S Feizi | | |
Hector Corrada BravoAssociate Professor of Computer Science, University of Maryland在 umiacs.umd.edu 的电子邮件经过验证
