Crop planning using stochastic visual optimization G Sehgal, B Gupta, K Paneri, K Singh, G Sharma, G Shroff 2017 IEEE Visualization in Data Science (VDS), 47-51, 2017 | 34 | 2017 |
Comparative benchmarking of causal discovery techniques K Singh, G Gupta, V Tewari, G Shroff arXiv preprint arXiv:1708.06246, 2017 | 21* | 2017 |
Visual bayesian fusion to navigate a data lake K Singh, K Paneri, A Pandey, G Gupta, G Sharma, P Agarwal, G Shroff 2016 19th International Conference on Information Fusion (FUSION), 987-994, 2016 | 14 | 2016 |
Prescriptive information fusion G Shroff, P Agarwal, K Singh, AH Kazmi, S Shah, A Sardeshmukh 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 14 | 2014 |
Systems and methods for predictive reliability mining K Singh, G Shroff, P Agarwal US Patent 10,248,490, 2019 | 10 | 2019 |
Deep convolutional neural networks for pairwise causality K Singh, G Gupta, L Vig, G Shroff, P Agarwal arXiv preprint arXiv:1701.00597, 2017 | 9 | 2017 |
Predictive reliability mining for early warnings in populations of connected machines K Singh, G Shroff, P Agarwal 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 8 | 2015 |
Temporal graph learning for financial world: Algorithms, scalability, explainability & fairness N Rajput, K Singh Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 7 | 2022 |
Tegraf: temporal and graph based fraudulent transaction detection framework S Reddy, P Poduval, AVS Chauhan, M Singh, S Verma, K Singh, ... Proceedings of the Second ACM International Conference on AI in Finance, 1-8, 2021 | 5 | 2021 |
FLiB: Fair Link Prediction in Bipartite Network P Kansal, N Kumar, S Verma, K Singh, P Pouduval Pacific-Asia Conference on Knowledge Discovery and Data Mining, 485-498, 2022 | 2 | 2022 |
Table Structure Recognition Using CoDec Encoder-Decoder B Pegu, M Singh, A Agarwal, A Mitra, K Singh Document Analysis and Recognition–ICDAR 2021 Workshops: Lausanne …, 2021 | 2 | 2021 |
Word and graph embeddings for covid-19 retweet prediction TT Nguyen, K Singh, S Verma, H Wadhwa, S Vimal, L Dheekollu, SJ Lui, ... CIKM AnalytiCup 2020, 5-8, 2020 | 2 | 2020 |
Warranty cost estimation using bayesian network K Singh, P Agarwal, G Shroff arXiv preprint arXiv:1411.3197, 2014 | 2 | 2014 |
CaPE: Category Preserving Embeddings for Similarity-Search in Financial Graphs G Oberoi, P Poduval, K Singh, S Verma, P Gupta Proceedings of the Third ACM International Conference on AI in Finance, 420-427, 2022 | 1 | 2022 |
CIKM AnalytiCup 2017 Lazada Product Title Quality Challenge An Ensemble of Deep and Shallow Learning to predict the Quality of Product Titles K Singh, V Sunder arXiv preprint arXiv:1804.01000, 2018 | 1 | 2018 |
Bayesian Visual Analysis of the Indian Labour Market K Paneri, K Singh, A Pandey, G Singh CoDs Data Challenge, Pune, India, 2016 | 1 | 2016 |
BipNRL: Mutual Information Maximization on Bipartite Graphs for Node Representation Learning P Poduval, G Oberoi, S Verma, A Agarwal, K Singh, S Asthana Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Label-Value Extraction from Documents Using Co-SSL Framework SA Sara, M Singh, B Pegu, K Singh International Conference on Advanced Data Mining and Applications, 206-218, 2022 | | 2022 |
MUFin'21: First International Workshop on Modelling Uncertainty in the Financial World S Bedathur, T Bhowmik, N Rajput, K Singh, M Singh Proceedings of the 30th ACM International Conference on Information …, 2021 | | 2021 |
Semi-supervised Learning for Marked Temporal Point Processes S Reddy, AVS Chauhan, M Singh, K Singh arXiv preprint arXiv:2107.07729, 2021 | | 2021 |