A scaled‐down neural conversational model for chatbots S Mathur, D Lopez Concurrency and Computation: Practice and Experience 31 (10), e4761, 2019 | 13 | 2019 |
Classification of text documents using association rule mining with critical relative support based pruning P Karthik, M Saurabh, U Chandrasekhar 2016 International Conference on Advances in Computing, Communications and …, 2016 | 6 | 2016 |
Knowledge intensive learning of cutset networks S Mathur, V Gogate, S Natarajan Uncertainty in Artificial Intelligence, 1380-1389, 2023 | 5 | 2023 |
Exploiting domain knowledge as causal independencies in modeling gestational diabetes S Mathur, A Karanam, P Radivojac, DM Haas, K Kersting, S Natarajan PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 5 | 2022 |
Decision making using fuzzy soft set inference system U Chandrasekhar, S Mathur Proceedings of the 3rd International Symposium on Big Data and Cloud …, 2016 | 5 | 2016 |
Credibility-aware multi-modal fusion using probabilistic circuits S Sidheekh, P Tenali, S Mathur, E Blasch, K Kersting, S Natarajan arXiv preprint arXiv:2403.03281, 2024 | 2 | 2024 |
Bayesian Learning of Probabilistic Circuits with Domain Constraints A Karanam, S Mathur, S Sidheekh, S Natarajan The 6th Workshop on Tractable Probabilistic Modeling, 2023 | 2 | 2023 |
Credibility-aware Reliable Multi-Modal Fusion Using Probabilistic Circuits S Mathur, S Sidheekh, P Tenali, E Blasch, K Kersting, S Natarajan | 1 | 2024 |
Explaining Deep Tractable Probabilistic Models: The sum-product network case BA Karanam, S Mathur, P Radivojac, DM Haas, K Kersting, S Natarajan International Conference on Probabilistic Graphical Models, 325-336, 2022 | 1 | 2022 |
Modeling multiple adverse pregnancy outcomes: Learning from diverse data sources S Mathur, VP Gadekar, R Ramola, P Wang, R Thiruvengadam, DM Haas, ... International Conference on Artificial Intelligence in Medicine, 293-302, 2024 | | 2024 |
A Unified Framework for Human-Allied Learning of Probabilistic Circuits A Karanam, S Mathur, S Sidheekh, S Natarajan arXiv preprint arXiv:2405.02413, 2024 | | 2024 |
Neurologic Statistical Prognostication and Risk Assessment for Kids on Extracorporeal Membrane Oxygenation—Neuro SPARK N Shah, S Mathur, P Shanmugham, X Li, RR Thiagarajan, S Natarajan, ... ASAIO Journal 70 (4), 305-312, 2024 | | 2024 |
Deep Tractable Probabilistic Models S Sidheekh, S Mathur, A Karanam, S Natarajan Proceedings of the 7th Joint International Conference on Data Science …, 2024 | | 2024 |
Learning Credal Conditional Probability Tables with Qualitative Knowledge S Mathur, A Antonucci, S Natarajan | | 2024 |
On the Robustness and Reliability of Late Multi-Modal Fusion using Probabilistic Circuits S Sidheekh, P Tenali, S Mathur, E Blasch, S Natarajan | | |
Knowledge Intensive Learning of Credal Networks S Mathur, A Antonucci, S Natarajan The 40th Conference on Uncertainty in Artificial Intelligence, 0 | | |