Defraudnet: An end-to-end weak supervision framework to detect fraud in online food delivery J Mathew, M Negi, R Vijjali, J Sathyanarayana Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 7 | 2021 |
Identifying Fraud Rings Using Domain Aware Weighted Community Detection S Masihullah, M Negi, J Matthew, J Sathyanarayana International Cross-Domain Conference for Machine Learning and Knowledge …, 2022 | 4 | 2022 |
Foodnet: Simplifying online food ordering with contextual food combos R Vijjali, D Bhageria, A Tamhane, M TM, J Sathyanarayana Proceedings of the 5th Joint International Conference on Data Science …, 2022 | 3 | 2022 |
New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning B Chawla, S Shedthikere, J Sathyanarayana Proceedings of the 7th Joint International Conference on Data Science …, 2024 | 2 | 2024 |
Improving search relevance in a hyperlocal food delivery using language models. AK Brahma, S Nagamalla, J Mathew, J Sathyanarayana Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
DyCOD-Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling A Deep, SC Kattamuru, M Negi, J Mathew, J Sathyanarayana Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain J Mathew, P Sahu, B Singhal, A Joshi, KR Medikonda, J Sathyanarayana International Conference on Speech and Computer, 477-493, 2022 | | 2022 |
Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling A Shukla, J Sathyanarayana, D Banerjee 2020 International Conference on Data Mining Workshops (ICDMW), 683-689, 2020 | | 2020 |