Lovekesh Vig
Lovekesh Vig
TCS Research
Verified email at tcs.com
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
Proceedings 89, 89-94, 2015
8902015
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
4442016
Multi-robot coalition formation
L Vig, JA Adams
IEEE transactions on robotics 22 (4), 637-649, 2006
3462006
Anomaly detection in ECG time signals via deep long short-term memory networks
S Chauhan, L Vig
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
2702015
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
1332016
Coalition formation: From software agents to robots
L Vig, JA Adams
Journal of Intelligent and Robotic Systems 50 (1), 85-118, 2007
932007
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
892017
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
802017
Market-based multi-robot coalition formation
L Vig, JA Adams
Distributed Autonomous Robotic Systems 7, 227-236, 2006
702006
Anomaly detection system and method
P Malhotra, G Shroff, P Agarwal, L Vig
US Patent 10,223,403, 2019
55*2019
Issues in multi-robot coalition formation
L Vig, JA Adams
Multi-Robot Systems. From Swarms to Intelligent Automata Volume III, 15-26, 2005
472005
Siamese networks for chromosome classification
S Jindal, G Gupta, M Yadav, M Sharma, L Vig
Proceedings of the IEEE international conference on computer vision …, 2017
422017
Crowdsourcing for chromosome segmentation and deep classification
M Sharma, O Saha, A Sriraman, R Hebbalaguppe, L Vig, S Karande
Proceedings of the IEEE conference on computer vision and pattern …, 2017
412017
Transfer learning for clinical time series analysis using deep neural networks
P Gupta, P Malhotra, J Narwariya, L Vig, G Shroff
Journal of Healthcare Informatics Research 4 (2), 112-137, 2020
402020
Tablenet: Deep learning model for end-to-end table detection and tabular data extraction from scanned document images
SS Paliwal, D Vishwanath, R Rahul, M Sharma, L Vig
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
372019
An efficient end-to-end neural model for handwritten text recognition
A Chowdhury, L Vig
arXiv preprint arXiv:1807.07965, 2018
342018
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
322018
Using convolutional neural networks to discover cogntively validated features for gender classification
A Verma, L Vig
2014 International Conference on Soft Computing and Machine Intelligence, 33-37, 2014
312014
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
282019
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
282019
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