| LSTM-based encoder-decoder for multi-sensor anomaly detection P Malhotra, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1607.00148, 2016 | 1277 | 2016 |
| Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder P Malhotra, V Tv, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1608.06154, 2016 | 265 | 2016 |
| Delta Descriptors: Change-Based Place Representation for Robust Visual Localization S Garg, B Harwood, G Anand, M Milford IEEE Robotics and Automation Letters, 2020 5 (4), 5120-5127, 2020 | 46 | 2020 |
| Deep Temporal Features to Predict Repeat Buyers G Anand, AHKP Malhotra, L Vig, P Agarwal, G Shroff | 15 | 2015 |
| Multi-sensor prognostics using an unsupervised health index based on LSTM encoder-decoder. arXiv P Malhotra, V Tv, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1608.06154, 2016 | 13 | 2016 |
| LSTM-based encoder-decoder for multi-sensor anomaly detection. CoRR abs/1607.00148 (2016) P Malhotra, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1607.00148, 2016 | 13 | 2016 |
| Method and system for purchase behavior prediction of customers P Malhotra, G Anand, AH Kazmi, L Vig, P Agarwal, G Shroff US Patent App. 15/781,431, 2018 | 11 | 2018 |
| DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception G Anand, R Nayak Knowledge-Based Systems, 2021, 2021 | 8 | 2021 |
| Unsupervised Visual Time-Series Representation Learning and Clustering G Anand, R Nayak International Conference on Neural Information Processing 2020, 832-840, 2020 | 6 | 2020 |
| Exploratory data analysis using alternating covers of rules and exceptions S Saikia, G Shroff, P Agarwal, A Srinivasan, A Pandey, G Anand Proceedings of the 20th International Conference on Management of Data, 105-108, 2014 | 4 | 2014 |
| Contextual anomaly detection in spatio-temporal data using locally dense regions G Anand, R Nayak 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 2 | 2018 |
| Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE) G Anand, P Koniusz, A Kumar, LA Golding, MJ Morgan, P Moghadam Journal of Hazardous Materials 472, 134456, 2024 | | 2024 |
| Unsupervised visual perception-based representation learning for time-series and trajectories G Anand Queensland University of Technology, 2021 | | 2021 |
Pankaj MalhotraMicrosoft在 microsoft.com 的电子邮件经过验证
