Semantic clustering-based cross-domain recommendation A Kumar, N Kumar, M Hussain, S Chaudhury, S Agarwal 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014 | 46 | 2014 |
Automatic detection of fake profiles in online social networks N Kumar, RN Reddy | 31* | 2012 |
Achieving k-anonymity Using Improved Greedy Heuristics for Very Large Relational Databases. KS Babu, N Reddy, N Kumar, M Elliot, SK Jena Trans. Data Priv. 6 (1), 1-17, 2013 | 22 | 2013 |
Symbolic learning and reasoning with noisy data for probabilistic anchoring P Zuidberg Dos Martires, N Kumar, A Persson, A Loutfi, L De Raedt Frontiers in Robotics and AI 7, 100, 2020 | 16 | 2020 |
Learning distributional programs for relational autocompletion N Kumar, O Kuželka, L De Raedt Theory and Practice of Logic Programming 22 (1), 81-114, 2022 | 5* | 2022 |
First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs N Kumar, O Kuželka, L De Raedt Journal of Artificial Intelligence Research 77, 683-735, 2023 | 2 | 2023 |
Context-specific likelihood weighting N Kumar, O Kuželka International Conference on Artificial Intelligence and Statistics, 2125-2133, 2021 | 1 | 2021 |
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies N Kumar, U Chatterjee, S Schockaert arXiv preprint arXiv:2402.15337, 2024 | | 2024 |
Solving hard analogy questions with relation embedding chains N Kumar, S Schockaert arXiv preprint arXiv:2310.12379, 2023 | | 2023 |
Hybrid Probabilistic Logic Programming: Inference and Learning N Kumar, L De Raedt, O Kuzelka arXiv preprint arXiv:2302.00496, 2023 | | 2023 |
Probabilistic vector space models for sentiment analysis N Kumar Indian Institute of Technology Delhi, 2017 | | 2017 |