| Evaluating protein binding interfaces with transformer networks V Stebliankin, A Shirali, P Baral, J Shi, P Chapagain, K Mathee, ... Nature Machine Intelligence 5 (9), 1042-1053, 2023 | 15 | 2023 |
| Self-adaptive multi-population genetic algorithms for dynamic resource allocation in shared hosting platforms A Shirali, J Kazemi Kordestani, MR Meybodi Genetic Programming and Evolvable Machines 19, 505-534, 2018 | 9 | 2018 |
| Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting J Shi, R Myana, V Stebliankin, A Shirali, G Narasimhan ECML Workshop 2023, 2023 | 8 | 2023 |
| PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks V Stebliankin, A Shirali, P Baral, P Chapagain, G Narasimhan bioRxiv, 2023.01. 03.522623, 2023 | 1 | 2023 |
| A comprehensive survey of scoring functions for protein docking models A Shirali, V Stebliankin, U Karki, J Shi, P Chapagain, G Narasimhan BMC bioinformatics 26 (1), 25, 2025 | | 2025 |
| Deep Learning and Foundation Models for Weather Prediction: A Survey J Shi, A Shirali, B Jin, S Zhou, W Hu, R Rangaraj, S Wang, J Han, Z Wang, ... arXiv preprint arXiv:2501.06907, 2025 | | 2025 |
| Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning J Shi, A Shirali, G Narasimhan 2024 IEEE International Conference on Big Data (BigData), 1450-1457, 2024 | | 2024 |
| ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning J Shi, A Shirali, G Narasimhan arXiv preprint arXiv:2409.14232, 2024 | | 2024 |
| Check for updates Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting J Shi, R Myana, V Stebliankin, A Shirali, G Narasimhan Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop …, 2023 | | 2023 |
| An extended multi-population genetic algorithm for resource allocation in service hosting platforms A Shirali, MR Meybodi 2018 8th Conference of AI & Robotics and 10th RoboCup Iranopen International …, 2018 | | 2018 |
| NOVEL FEATURE REPRESENTATION STRATEGIES FOR TIME SERIES FORECASTING WITH PREDICTED FUTURE COVARIATES J Shi, RS Myana, V Stebliankin, A Shirali, G Narasimhan | | |
Giri NarasimhanDistinguished University Professor, Florida Internatioanl UniversityVerified email at fiu.edu
