| Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization D Mahapatra, V Rajan Thirty-seventh International Conference on Machine Learning (ICML 2020), 2020 | 147 | 2020 |
| Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks A Jadhav, V Rajan Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 113 | 2018 |
| A metric for phylogenetic trees based on matching Y Lin, V Rajan, BME Moret IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (4 …, 2012 | 107 | 2012 |
| ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets S Bhattacharya, V Rajan, H Shrivastava Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 86 | 2017 |
| User Models for Personalized Physical Activity Interventions: Scoping Review S Ghanvatkar, A Kankanhalli, V Rajan JMIR mHealth and uHealth 7 (1), e11098, 2019 | 85 | 2019 |
| Inferring Concept Prerequisite Relations from Online Educational Resources S Roy, M Madhyastha, S Lawrence, V Rajan Proceedings of the AAAI Conference on Artificial Intelligence 33, 9589-9594, 2019 | 73 | 2019 |
| Predicting arrival times of vehicles based upon observed schedule adherence A Tripathi, V Rajan, NU Edakunni US Patent 9,159,032, 2015 | 59 | 2015 |
| Predicting Complications in Critical Care Using Heterogeneous Clinical Data V Huddar, BK Desiraju, V Rajan, S Bhattacharya, S Roy, CK Reddy IEEE Access 4, 7988-8001, 2016 | 58 | 2016 |
| Sorting signed permutations by inversions in O (nlogn) time K Swenson, V Rajan, Y Lin, B Moret Research in Computational Molecular Biology, 386-399, 2009 | 49 | 2009 |
| Predicting synthetic lethal interactions using heterogeneous data sources H Liany, A Jeyasekharan, V Rajan Bioinformatics 36 (7), 2209-2216, 2020 | 48 | 2020 |
| Context-Aware Sequential Recommendations withStacked Recurrent Neural Networks L Rakkappan, V Rajan The World Wide Web Conference, 3172-3178, 2019 | 47 | 2019 |
| Dependency Clustering of Mixed Data with Gaussian Mixture Copulas V Rajan, S Bhattacharya 25th International Joint Conference on Artificial Intelligence IJCAI-16, 2016 | 47 | 2016 |
| Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks H Xue, L Yang, V Rajan, W Jiang, Y Wei, Y Lin Proceedings of the Web Conference 2021, 1649-1660, 2021 | 40 | 2021 |
| Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals V Huddar, V Rajan, S Bhattacharya, S Roy 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 39* | 2014 |
| Methods and systems for assigning tasks to workers S Karanam, LE Celis, V Rajan, K Dasgupta, D Chander US Patent App. 14/540,203, 2016 | 37 | 2016 |
| Classification with imbalance: A similarity-based method for predicting respiratory failure H Shrivastava, V Huddar, S Bhattacharya, V Rajan 2015 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2015 | 35 | 2015 |
| A novel classification method for predicting acute hypotensive episodes in critical care S Bhattacharya, V Rajan, V Huddar Proceedings of the 5th ACM Conference on Bioinformatics, Computational …, 2014 | 33 | 2014 |
| Crowdcontrol: An online learning approach for optimal task scheduling in a dynamic crowd platform V Rajan, S Bhattacharya, LE Celis, D Chander, K Dasgupta, S Karanam Proceedings of ICML Workshop: Machine Learning Meets Crowdsourcing 2, 2013 | 31 | 2013 |
| Fast and accurate phylogenetic reconstruction from high-resolution whole-genome data and a novel robustness estimator Y Lin, V Rajan, BME Moret Journal of Computational Biology 18 (9), 1131-1139, 2011 | 29 | 2011 |
| Gaussian mixture copulas for high-dimensional clustering and dependency-based subtyping SR Kasa, S Bhattacharya, V Rajan Bioinformatics 36 (2), 621-628, 2020 | 28 | 2020 |
Yu LinSchool of Computing, Australian National University在 anu.edu.au 的电子邮件经过验证