| Deep learning for anomaly detection: A survey R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407, 2019 | 2772 | 2019 |
| Anomaly detection using one-class neural networks R Chalapathy, AK Menon, S Chawla arXiv preprint arXiv:1802.06360, 2018 | 667 | 2018 |
| Robust, deep and inductive anomaly detection R Chalapathy, AK Menon, S Chawla Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 232 | 2017 |
| Deep learning for anomaly detection: A survey. arXiv 2019 R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407, 2019 | 177 | 2019 |
| Bidirectional LSTM-CRF for clinical concept extraction R Chalapathy, EZ Borzeshi, M Piccardi arXiv preprint arXiv:1611.08373, 2016 | 127 | 2016 |
| Group anomaly detection using deep generative models R Chalapathy, E Toth, S Chawla Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018 | 80 | 2018 |
| Comparing multi-step ahead building cooling load prediction using shallow machine learning and deep learning models R Chalapathy, NLD Khoa, S Sethuvenkatraman Sustainable Energy, Grids and Networks 28, 100543, 2021 | 66 | 2021 |
| An investigation of recurrent neural architectures for drug name recognition R Chalapathy, EZ Borzeshi, M Piccardi arXiv preprint arXiv:1609.07585, 2016 | 64 | 2016 |
| Anomaly detection using one-class neural networks. arXiv 2018 R Chalapathy, AK Menon, S Chawla arXiv preprint arXiv:1802.06360, 2019 | 44 | 2019 |
| Robust deep learning methods for anomaly detection R Chalapathy, NLD Khoa, S Chawla Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 33 | 2020 |
| Applied Machine Learning Methods for Time Series Forecasting L Pang, W Liu, L Wu, K Xie, S Guo, R Chalapathy, M Wen Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Comparison of unsupervised shallow and deep models for structural health monitoring R Chalapathy, NLD Khoa Proceedings of the Institution of Civil Engineers-Bridge Engineering 177 (2 …, 2024 | 3 | 2024 |
| Dual-stage bayesian sequence to sequence embeddings for energy demand forecasting F Cameron-Muller, D Weeraddana, R Chalapathy, NLD Khoa Pacific-Asia Conference on Knowledge Discovery and Data Mining, 277-289, 2021 | 2 | 2021 |
