Raghavendra Chalapathy

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 12

Top Topics

Neural Architectures

Detect Anomalies

Generative Model

Anomaly Detection

Top Venues

Publications

Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla
Robust Deep Learning Methods for Anomaly Detection. KDD (2020)
Raghavendra Chalapathy, Sanjay Chawla
Deep Learning for Anomaly Detection: A Survey. CoRR (2019)
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
Group Anomaly Detection using Deep Generative Models. CoRR (2018)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Anomaly Detection using One-Class Neural Networks. CoRR (2018)
Raghavendra Chalapathy, Edward Toth, Sanjay Chawla
Group Anomaly Detection Using Deep Generative Models. ECML/PKDD (1) (2018)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Robust, Deep and Inductive Anomaly Detection. ECML/PKDD (1) (2017)
Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla
Robust, Deep and Inductive Anomaly Detection. CoRR (2017)
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
An Investigation of Recurrent Neural Architectures for Drug Name Recognition. Louhi@EMNLP (2016)
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Bidirectional LSTM-CRF for Clinical Concept Extraction. CoRR (2016)
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Bidirectional LSTM-CRF for Clinical Concept Extraction. ClinicalNLP@COLING 2016 (2016)
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
Bidirectional LSTM-CRF for Clinical Concept Extraction. CoRR (2016)
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi
An Investigation of Recurrent Neural Architectures for Drug Name Recognition. CoRR (2016)