| 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 | 897 | 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 | 225 | 2016 |
| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... Progression Assessment, and Overall Survival Prediction in the BRATS …, 2018 | 84 | 2018 |
| 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 | 30 | 2020 |
| Deep Temporal Features to Predict Repeat Buyers G Anand, AHKP Malhotra, L Vig, P Agarwal, G Shroff | 11 | 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 | 9 | 2016 |
| LSTM-based Encoder-Decoder for Multisensor 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 | 8 | 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 | 7 | 2018 |
| Unsupervised Visual Time-Series Representation Learning and Clustering G Anand, R Nayak International Conference on Neural Information Processing 2020, 832-840, 2020 | 5 | 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 |
| DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception G Anand, R Nayak Knowledge-Based Systems, 2020, 2020 | 3 | 2020 |
| 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 |
| Unsupervised Visual Perception-based Representation Learning for Time-series and Trajectories G Anand Queensland University of Technology, 2021 | | 2021 |
Pankaj MalhotraMicrosoftE-mail megerősítve itt: microsoft.com
