| Optimizing F-measures by cost-sensitive classification S Puthiya Parambath, N Usunier, Y Grandvalet Advances in neural information processing systems 27, 2014 | 168 | 2014 |
| A coverage-based approach to recommendation diversity on similarity graph SA Puthiya Parambath, N Usunier, Y Grandvalet Proceedings of the 10th ACM Conference on Recommender Systems, 15-22, 2016 | 112 | 2016 |
| Reuse and adaptation for entity resolution through transfer learning S Thirumuruganathan, SAP Parambath, M Ouzzani, N Tang, S Joty arXiv preprint arXiv:1809.11084, 2018 | 45 | 2018 |
| Saga: A submodular greedy algorithm for group recommendation SP Parambath, N Vijayakumar, S Chawla Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 26 | 2018 |
| Effective urban structure inference from traffic flow dynamics S Sarkar, S Chawla, S Ahmad, J Srivastava, H Hammady, F Filali, ... IEEE Transactions on Big Data 3 (2), 181-193, 2017 | 26 | 2017 |
| Popularity Agnostic Evaluation of Knowledge Graph Embeddings A Mohamed, SA Parambath, Z Kaoudi, A Aboulnaga Conference on Uncertainty in Artificial Intelligence, 1059--1068, 2020 | 25 | 2020 |
| CaBS: A cascaded brain tumor segmentation approach E Malmi, S Parambath, JM Peyrat, J Abinahed, S Chawla Proceedings MICCAI Brain, Tumor Segmentation (BRATS), 42-47, 2015 | 17 | 2015 |
| Simple and effective neural-free soft-cluster embeddings for item cold-start recommendations SA Puthiya Parambath, S Chawla Data Mining and Knowledge Discovery 34, 1560-1588, 2020 | 15 | 2020 |
| Matrix factorization methods for recommender systems SAP Parambath | 15 | 2013 |
| Max-Utility based arm selection strategy for sequential query recommendations SP Parambath, C Anagnostopoulos, R Murray-Smith, S MacAvaney Asian Conference on Machine Learning, 564-579, 2021 | 6 | 2021 |
| Matrix Factorization Methods for Recommender System S Ahamed, P Parambath umea university, 2013 | 5 | 2013 |
| Reuse and adaptation for entity resolution through transfer learning.(Sept S Thirumuruganathan, SAP Parambath, M Ouzzani, N Tang, S Joty arXiv preprint cs.DB/1809.11084, 2018 | 4 | 2018 |
| Feddip: Federated learning with extreme dynamic pruning and incremental regularization Q Long, C Anagnostopoulos, SP Parambath, D Bi 2023 IEEE International Conference on Data Mining (ICDM), 1187-1192, 2023 | 3 | 2023 |
| Topic extraction and bundling of related scientific articles SAP Parambath arXiv preprint arXiv:1212.5423, 2012 | 3 | 2012 |
| Crowd Sourcing Literature Review in SUNFLOWER. S Amer-Yahia, R Garcia, A Ozturk, SAP Parambath CrowdSearch, 2, 2012 | 3 | 2012 |
| Re-ranking based diversification: A unifying view SAP Parambath arXiv preprint arXiv:1906.11285, 2019 | 2 | 2019 |
| On Inferring the Time-Varying Traffic Connectivity Structures of an Urban Environment S Chawla, S Sarkar, J Borge-Holthoefer, S Ahamed, H Hammady, F Filali, ... | 2 | 2015 |
| The price of labelling: A two-phase federated self-learning approach T Aladwani, SP Parambath, C Anagnostopoulos, F Deligianni Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | 1 | 2024 |
| Sequential query prediction based on multi-armed bandits with ensemble of transformer experts and immediate feedback SA Puthiya Parambath, C Anagnostopoulos, R Murray-Smith Data Mining and Knowledge Discovery, 1-25, 2024 | 1 | 2024 |
| Advanced Persistent Threats based on Supply Chain Vulnerabilities: Challenges, Solutions and Future Directions Z Tan, AK Marnerides, C Anagnostopoulos, SP Parambath, J Singer Authorea Preprints, 2024 | 1 | 2024 |
sanjay chawlaQatar Computing Research Institute, HBKUVerified email at sydney.edu.au
