| 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 | 113 | 2016 |
| Predicting remaining useful life using time series embeddings based on recurrent neural networks N Gugulothu, V Tv, P Malhotra, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1709.01073, 2017 | 74 | 2017 |
| TimeNet: Pre-trained deep recurrent neural network for time series classification P Malhotra, V TV, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1706.08838, 2017 | 68 | 2017 |
| Meta-Learning for Black-box Optimization V TV, P Malhotra, J Narwariya, V Lovekesh, S Gautam European Conference on Machine Learning and Principles and Practice of …, 2019 | 21* | 2019 |
| Online anomaly detection with concept drift adaptation using recurrent neural networks S Saurav, P Malhotra, V TV, N Gugulothu, L Vig, P Agarwal, G Shroff Proceedings of the acm india joint international conference on data science …, 2018 | 21 | 2018 |
| Meta-learning for few-shot time series classification J Narwariya, P Malhotra, L Vig, G Shroff, TV Vishnu Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 28-36, 2020 | 6 | 2020 |
| Data-driven prognostics with predictive uncertainty estimation using ensemble of deep ordinal regression models V TV, P Malhotra, L Vig, G Shroff arXiv preprint arXiv:1903.09795, 2019 | 5 | 2019 |
| Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder. arXiv 2016 P Malhotra, V Tv, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff arXiv preprint arXiv:1608.06154, 0 | 5 | |
| On practical aspects of using RNNs for fault detection in sparsely-labeled multi-sensor time series N Gugulothu, TV Vishnu, P Gupta, P Malhotra, L Vig, P Agarwal, G Shroff Annual Conference of the PHM Society 10 (1), 2018 | 4 | 2018 |
| Recurrent neural networks for online remaining useful life estimation in ion mill etching system TV Vishnu, P Gupta, P Malhotra, L Vig, G Shroff Annual Conference of the PHM Society 10 (1), 2018 | 4 | 2018 |
| Bayesian networks for interpretable health monitoring of complex systems TV Vishnu, N Gugulothu, P Malhotra, L Vig, P Agarwal, G Shroff AI4IOT Workshop at International Joint Conference on Artificial Intelligence …, 2017 | 3 | 2017 |
| Regularizing fully convolutional networks for time series classification by decorrelating filters K Paneri, TV Vishnu, P Malhotra, L Vig, G Shroff Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 10003 …, 2019 | 1 | 2019 |
| Deep Ordinal Regression for Remaining Useful Life Estimation from Censored Data TV Vishnu, P Malhotra, L Vig, G Shroff Joint Workshop on Deep Learning for Safety-Critical Applications in …, 2018 | 1 | 2018 |
| Method and system for health monitoring and fault signature identification P Malhotra, TV Vishnu, N Gugulothu, L Vig, P Agarwal, G Shroff US Patent 10,719,774, 2020 | | 2020 |
| Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation J Narwariya, P Malhotra, V TV, L Vig, G Shroff arXiv preprint arXiv:2006.16556, 2020 | | 2020 |
| Failed and censored instances based remaining useful life (rul) estimation of entities P Malhotra, V Tv, L Vig, G Shroff US Patent App. 16/352,587, 2020 | | 2020 |
| Meta-Learning for Black-Box Optimization TV Vishnu, P Malhotra, J Narwariya, L Vig, G Shroff Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | | 2019 |
Pankaj MalhotraTCS Research, Tata Consultancy Services LimitedVerified email at tcs.com
