Lovekesh Vig - Concepedia

Author

Lovekesh Vig

Tata Consultancy Services (India)ORCID

Also Known As

L. Vig, LOVEKESH VIG, Lovekesh Vig, Srinivasan, Ashwin, Vig, L, Vig, Lovekesh

224

Publications

4.5K

Citations

H-Index

121

Concepts

All Affiliations

Tata Consultancy Services (India)Jawaharlal Nehru University Birla Institute of Technology and Science, Pilani Vanderbilt University

About

Lovekesh Vig is an author at Tata Consultancy Services (India) specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	39	3.7K
2	Arts	2	2	57
3	Business	1	1	24
4	Education	1	1	26
5	Language Studies	1	1	11

Lovekesh Vig

Publications

Citations

H-Index

Page 1

	Year	Citations
Long Short Term Memory Networks for Anomaly Detection in Time Series. Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, The European Symposium on Artificial Neural Networks Anomaly DetectionMachine LearningData ScienceData MiningEngineering	2015	1.1K
Anomaly detection in ECG time signals via deep long short-term memory networks Sucheta Chauhan, Lovekesh Vig Anomaly DetectionMachine LearningEngineeringAutoencodersRecurrent Neural Network	2015	395
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, arXiv (Cornell University) Anomaly DetectionMachine LearningEngineeringFault ForecastingData Science	2016	345
Multi-robot coalition formation Lovekesh Vig, Julie A. Adams IEEE Transactions on Robotics Artificial IntelligenceEngineeringIntelligent SystemsSoftware Agent LiteratureSuper Additive	2006	274
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder Pankaj Malhotra, Vishnu Tv, Anusha Ramakrishnan, arXiv (Cornell University) EngineeringMachine LearningLife PredictionMulti-sensor PrognosticsPrognosis	2016	165
Sequence and Time Aware Neighborhood for Session-based Recommendations D. Garg, Priyanka Gupta, Pankaj Malhotra, EngineeringMachine LearningVanilla SknnText MiningNatural Language Processing	2019	137
TimeNet: Pre-trained deep recurrent neural network for time series classification Pankaj Malhotra, Vishnu Tv, Lovekesh Vig, arXiv (Cornell University) Deep Neural NetworksEngineeringMachine LearningData ScienceFeature Learning	2017	113
Online anomaly detection with concept drift adaptation using recurrent neural networks Sakti Saurav, Pankaj Malhotra, Vishnu Tv, Anomaly DetectionMachine LearningEngineeringRecurrent Neural NetworkConcept Drift	2018	91
Siamese Networks for Chromosome Classification Swati, Gaurav Gupta, Mohit Yadav, Convolutional Neural NetworkEngineeringMachine LearningStructural Pattern RecognitionGenetics	2017	90
Crowdsourcing for Chromosome Segmentation and Deep Classification Monika Sharma, Oindrila Saha, Anand Sriraman, Artificial IntelligenceData AnnotationEngineeringMachine LearningDigital Pathology	2017	89

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