| Human trajectory prediction using spatially aware deep attention models D Varshneya, G Srinivasaraghavan arXiv preprint arXiv:1705.09436, 2017 | 113 | 2017 |
| MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model G Venkatesh, A Grover, G Srinivasaraghavan, S Rao Bioinformatics 36 (Supplement_1), i399-i406, 2020 | 39 | 2020 |
| Detecting programming language from source code using bayesian learning techniques JN Khasnabish, M Sodhi, J Deshmukh, G Srinivasaraghavan Machine Learning and Data Mining in Pattern Recognition: 10th International …, 2014 | 28 | 2014 |
| Automatic title generation for text with pre-trained transformer language model P Mishra, C Diwan, S Srinivasa, G Srinivasaraghavan 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 17-24, 2021 | 26 | 2021 |
| hammer: Multi-level coordination of reinforcement learning agents via learned messaging N Gupta, G Srinivasaraghavan, S Mohalik, N Kumar, ME Taylor Neural Computing and Applications, 1-16, 2023 | 18 | 2023 |
| Unsupervised contextual paraphrase generation using lexical control and reinforcement learning S Garg, S Prabhu, H Misra, G Srinivasaraghavan arXiv preprint arXiv:2103.12777, 2021 | 14 | 2021 |
| Automatic title generation for learning resources and pathways with pre-trained transformer models P Mishra, C Diwan, S Srinivasa, G Srinivasaraghavan International Journal of Semantic Computing 15 (04), 487-510, 2021 | 6 | 2021 |
| Pruning a random forest by learning a learning algorithm K Dheenadayalan, G Srinivasaraghavan, VN Muralidhara Machine Learning and Data Mining in Pattern Recognition: 12th International …, 2016 | 6 | 2016 |
| Learning a deep reinforcement learning policy over the latent space of a pre-trained GAN for semantic age manipulation K Shubham, G Venkatesh, R Sachdev, DB Jayagopi, ... 2021 international joint conference on neural networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Contextual Web Summarization: A Supervised Ranking Approach A Sarkar, G Srinivasaraghavan Companion Proceedings of the The Web Conference 2018, 105-106, 2018 | 5 | 2018 |
| Premonition of storage response class using skyline ranked ensemble method K Dheenadayalan, VN Muralidhara, P Datla, G Srinivasaraghavan, ... 2014 21st International Conference on High Performance Computing (HiPC), 1-10, 2014 | 5 | 2014 |
| Explanation regeneration via multi-hop ILP inference over knowledge base A Gupta, G Srinivasaraghavan Proceedings of the Graph-based Methods for Natural Language Processing …, 2020 | 4 | 2020 |
| Phoenix: A self-optimizing chess engine AR Rahul, G Srinivasaraghavan 2015 International Conference on Computational Intelligence and …, 2015 | 4 | 2015 |
| EmELvar: A NeuroSymbolic Reasoner for the EL++ Description Logic. B Mohapatra, S Bhatia, R Mutharaju, G Srinivasaraghavan SemREC@ ISWC, 44-51, 2021 | 3 | 2021 |
| AI based approach to trailer generation for online educational courses P Mishra, C Diwan, S Srinivasa, G Srinivasaraghavan CSI Transactions on ICT 11 (4), 193-201, 2023 | 2 | 2023 |
| Self-tuning filers—overload prediction and preventive tuning using pruned random forest K Dheenadayalan, G Srinivasaraghavan, VN Muralidhara Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017 | 2 | 2017 |
| Filer response time prediction using adaptively-learned forecasting models based on counter time series data S Deshpande, K Dheenadayalan, G Srinivasaraghavan, VN Muralidhara 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 2 | 2016 |
| Towards an automated home interior designer system A Bapna, G Srinivasaraghavan Proceedings of the 2016 International Conference on Artificial Intelligence …, 2016 | 2 | 2016 |
| Storage load control through meta-scheduler using predictive analytics K Dheenadayalan, VN Muralidhara, G Srinivasaraghavan Distributed Computing and Internet Technology: 12th International Conference …, 2016 | 2 | 2016 |
| An end-to-end Complex-valued Neural Network approach for k-space interpolation in Parallel MRI P Jain, N Sinha, G Srinivasaraghavan Medical Imaging with Deep Learning, short paper track, 2023 | 1 | 2023 |
