Pankaj Malhotra
Title
Cited by
Cited by
Year
Long Short Term Memory Networks for Anomaly Detection in Time Series
P Malhotra, L Vig, G Shroff, P Agarwal
23rd European Symposium on Artificial Neural Networks, Computational …, 2015
6842015
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
P Malhotra, A Ramakrishnan, G Anand, L Vig, P Agarwal, G Shroff
Anomaly Detection Workshop at 33rd International Conference on Machine …, 2016
3072016
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
1st ACM SIGKDD Workshop on Machine Learning for Prognostics and Health …, 2016
1102016
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
International Journal of Prognostics and Health Management, 2018 9 (004), 2018
682018
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
2nd ACM SIGKDD Workshop on Machine Learning for Prognostics and Health …, 2017
682017
TimeNet: Pre-trained deep recurrent neural network for time series classification
P Malhotra, V TV, L Vig, P Agarwal, G Shroff
25th European Symposium on Artificial Neural Networks, Computational …, 2017
652017
Approximate Incremental Big-Data Harmonization
P Agarwal, G Shroff, P Malhotra
BigData Congress, 2013
382013
Graph-Parallel Entity Resolution using LSH & IMM
P Malhotra, P Agarwal, G Shroff
EDBT/ICDT Workshops, 2014
232014
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
P Gupta, P Malhotra, L Vig, G Shroff
Machine Learning for Medicine and Healthcare Workshop at KDD 2018, 2018
222018
Anomaly detection system and method
P Malhotra, G Shroff, P Agarwal, L Vig
US Patent 10,223,403, 2019
192019
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
CoDS-COMAD '18 Proceedings of the ACM India Joint International Conference …, 2018
182018
ODE-augmented Training Improves Anomaly Detection in Sensor Data from Machines
M Yadav, P Malhotra, L Vig, K Sriram, G Shroff
NIPS Time Series Workshop, 2015
162015
Convtimenet: A pre-trained deep convolutional neural network for time series classification
K Kashiparekh, J Narwariya, P Malhotra, L Vig, G Shroff
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
152019
Using Features from Pre-trained TimeNet for Clinical Predictions
P Gupta, P Malhotra, L Vig, G Shroff
3rd International Workshop on Knowledge Discovery in Healthcare Data at IJCAI, 2018
152018
Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN
D Garg, P Gupta, P Malhotra, L Vig, G Shroff
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
142019
Fusing Features based on Signal Properties and TimeNet for Time Series Classification.
A Ukil, P Malhotra, S Bandyopadhyay, T Bose, I Sahu, A Mukherjee, L Vig, ...
ESANN, 2019
72019
Deep Temporal Features to Predict Repeat Buyers
G Anand, AH Kazmi, P Malhotra, L Vig, P Agarwal, G Shroff
NIPS 2015 Workshop: Machine Learning for eCommerce, 2015
72015
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
62020
Entity resolution from documents
P Agarwal, G Shroff, P Malhotra
US Patent 10,346,439, 2019
52019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models
V TV, Diksha, P Malhotra, L Vig, G Shroff
52019
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