Lovekesh Vig
Tennessee Cancer Specialists(US)
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Handwritten Text Recognition Techniques, Anomaly Detection Techniques and Applications, Time Series Analysis and Forecasting
Most-Cited Works
- Long Short Term Memory Networks for Anomaly Detection in Time Series.(2015)
- → Anomaly detection in ECG time signals via deep long short-term memory networks(2015)397 cited
- → LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection(2016)345 cited
- → Multi-robot coalition formation(2006)275 cited
- → Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder(2016)165 cited
- → Sequence and Time Aware Neighborhood for Session-based Recommendations(2019)138 cited
- → TimeNet: Pre-trained deep recurrent neural network for time series classification(2017)113 cited
- → Online anomaly detection with concept drift adaptation using recurrent neural networks(2018)91 cited
- → Siamese Networks for Chromosome Classification(2017)90 cited
- → Crowdsourcing for Chromosome Segmentation and Deep Classification(2017)89 cited