Shubhomoy Das

According to our database, Shubhomoy Das authored at least 15 papers between 2011 and 2020.

Collaborative distances:

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

2020

Discovering Anomalies by Incorporating Feedback from an Expert.

Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott

ACM Trans. Knowl. Discov. Data, 2020

2019

Active Anomaly Detection for time-domain discoveries.

Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev, Maria V. Pruzhinskaya, Alina A. Volnova, Vladimir S. Korolev, Florian Mondon, Sreevarsha Sreejith, Anastasia Malancheva, Shubhomoy Das

CoRR, 2019

Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability.

Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

CoRR, 2019

2018

GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression.

Shubhomoy Das, Janardhan Rao Doppa

CoRR, 2018

Active Anomaly Detection via Ensembles.

Shubhomoy Das, Md Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa

CoRR, 2018

2017

Incorporating Feedback into Tree-based Anomaly Detection.

Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui

CoRR, 2017

2016

Finite Sample Complexity of Rare Pattern Anomaly Detection.

Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Incorporating Expert Feedback into Active Anomaly Discovery.

Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Systematic Construction of Anomaly Detection Benchmarks from Real Data.

Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong

CoRR, 2015

2014

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.

Alex Groce, Todd Kulesza, Chaoqiang Zhang, Shalini Shamasunder, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf, Shubhomoy Das, Amber Shinsel, Forrest Bice, Kevin McIntosh

IEEE Trans. Software Eng., 2014

2013

End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.

Shubhomoy Das, Travis Moore, Weng-Keen Wong, Simone Stumpf, Ian Oberst, Kevin McIntosh, Margaret M. Burnett

Artif. Intell., 2013

Detecting insider threats in a real corporate database of computer usage activity.

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A. Bader, Edmond Chow, Irfan A. Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel D. Corkill, Lisa Friedland, Amanda Gentzel, David D. Jensen

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2011

End-user feature labeling: a locally-weighted regression approach.

Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett

Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.

Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, Kevin McIntosh

Proceedings of the End-User Development - Third International Symposium, 2011

End-User Feature Labeling via Locally Weighted Logistic Regression.

Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011