Raghavendra Chalapathy

According to our database, Raghavendra Chalapathy authored at least 8 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Robust Deep Learning Methods for Anomaly Detection.

Raghavendra Chalapathy, Nguyen Lu Dang Khoa, Sanjay Chawla

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Learning for Anomaly Detection.

Raghavendra Chalapathy

PhD thesis, 2019

Deep Learning for Anomaly Detection: A Survey.

Raghavendra Chalapathy, Sanjay Chawla

CoRR, 2019

2018

Anomaly Detection using One-Class Neural Networks.

Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

CoRR, 2018

Group Anomaly Detection Using Deep Generative Models.

Raghavendra Chalapathy, Edward Toth, Sanjay Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Robust, Deep and Inductive Anomaly Detection.

Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

An Investigation of Recurrent Neural Architectures for Drug Name Recognition.

Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi

Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016

Bidirectional LSTM-CRF for Clinical Concept Extraction.

Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi

Proceedings of the Clinical Natural Language Processing Workshop, 2016