Get started
Author

Lovekesh Vig

Observed names: L. Vig, LOVEKESH VIG, Vig, L, Vig, Lovekesh
ORCID: 0000-0001-9834-3308
Observed ORCID: 0000-0001-9834-3308
OpenAlex ID: A5071894271
Long Short Term Memory Networks for Anomaly Detection in Time Series.
2015 · Pankaj Malhotra, Lovekesh Vig, et al. · The European Symposium on Artificial Neural Networks · 1,255
LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection
2016 · Malhotra, Pankaj, Ramakrishnan, Anusha, et al. · arXiv (Cornell University) · 815
PDF
Anomaly detection in ECG time signals via deep long short-term memory networks
2015 · Sucheta Chauhan, Lovekesh Vig · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 430
Multi-robot coalition formation
2006 · L. Vig, J.A. Adams · IEEE Transactions on Robotics · 275
TableNet: Deep Learning Model for End-to-end Table Detection and Tabular Data Extraction from Scanned Document Images
2019 · Shubham Singh Paliwal, Vishwanath D, et al. · Proceedings of the International Conference on Document Analysis and Recognition · 224
PDF
Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder
2016 · Malhotra, Pankaj, TV, Vishnu, et al. · arXiv (Cornell University) · 166
PDF
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
2020 · Narendhar Gugulothu, Vishnu TV, et al. · International Journal of Prognostics and Health Management · 153
PDF
Sequence and Time Aware Neighborhood for Session-based Recommendations
2019 · Diksha Garg, Priyanka Gupta, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 139
TimeNet: Pre-trained deep recurrent neural network for time series classification
2017 · Malhotra, Pankaj, TV, Vishnu, et al. · arXiv (Cornell University) · 127
PDF
Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning
2020 · Kushagra Mahajan, Monika Sharma, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 96
Crowdsourcing for Chromosome Segmentation and Deep Classification
2017 · Monika Sharma, Oindrila Saha, et al. · IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 95
Online anomaly detection with concept drift adaptation using recurrent neural networks
2018 · Sakti Saurav, Pankaj Malhotra, et al. · 94
Automatic Information Extraction from Piping and Instrumentation Diagrams
2019 · Rohit Rahul, Shubham Paliwal, et al. · International Conference on Pattern Recognition Applications and Methods · 89
Siamese Networks for Chromosome Classification
2017 · Swati, Gaurav Gupta, et al. · IEEE International Conference on Computer Vision Workshops · 89
Coalition Formation: From Software Agents to Robots
2007 · Lovekesh Vig, Julie A. Adams · Journal of Intelligent & Robotic Systems · 88
ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification
2019 · Kathan Kashiparekh, Jyoti Narwariya, et al. · 84
PDF
Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks
2019 · Priyanka Gupta, Pankaj Malhotra, et al. · Journal of Healthcare Informatics Research · 81
PDF
A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images
2019 · Sucheta Chauhan, Lovekesh Vig, et al. · Frontiers in Neuroinformatics · 81
PDF
Market-Based Multi-robot Coalition Formation
2007 · Lovekesh Vig, Julie A. Adams · Springer eBooks · 62
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
2021 · Shubham Paliwal, Arushi Jain, et al. · Lecture notes in computer science · 57
PDF
Meta-Learning for Few-Shot Time Series Classification
2020 · Jyoti Narwariya, Pankaj Malhotra, et al. · 52
PDF
An Efficient End-to-End Neural Model for Handwritten Text Recognition
2018 · Chowdhury, Arindam, Vig, Lovekesh · arXiv (Cornell University) · 48
PDF
ECG anomaly class identification using LSTM and error profile modeling
2019 · Sucheta Chauhan, Lovekesh Vig, et al. · Computers in Biology and Medicine · 46
Automatic Chromosome Classification using Deep Attention Based Sequence Learning of Chromosome Bands
2018 · Monika Sharma, Swati, et al. · 43
Parallel multi-objective multi-robot coalition formation
2015 · Manoj Agarwal, Nitin Agrawal, et al. · Expert Systems with Applications · 35
Works count: 216
Citation count: 4,885
H-index: 27
I10-index: 64
Year
Topic
Type