Shubhomoy Das

16 papers A* 3A 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning.
J. Artif. Intell. Res.
Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2020 J jnl
Discovering Anomalies by Incorporating Feedback from an Expert.
ACM Trans. Knowl. Discov. Data
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2019 J jnl
Active Anomaly Detection for time-domain discoveries.
CoRR
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
2019 J jnl
Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability.
CoRR
Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2018 J jnl
Active Anomaly Detection via Ensembles.
CoRR
Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
2018 J jnl
GLAD: GLocalized Anomaly Detection via Active Feature Space Suppression.
CoRR
Shubhomoy Das, Janardhan Rao Doppa
2017 J jnl
Incorporating Feedback into Tree-based Anomaly Detection.
CoRR
Shubhomoy Das, Weng-Keen Wong, Alan Fern, Thomas G. Dietterich, Md Amran Siddiqui
2016 A conf
Finite Sample Complexity of Rare Pattern Anomaly Detection.
UAI
Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Shubhomoy Das
2016 A* conf
Incorporating Expert Feedback into Active Anomaly Discovery.
ICDM
Shubhomoy Das, Weng-Keen Wong, Thomas G. Dietterich, Alan Fern, Andrew Emmott
2015 J jnl
Systematic Construction of Anomaly Detection Benchmarks from Real Data.
CoRR
Andrew Emmott, Shubhomoy Das, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong
2014 J jnl
You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.
IEEE Trans. Software Eng.
Alex Groce, Todd Kulesza, Chaoqiang Zhang, Shalini Shamasunder, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf, Shubhomoy Das, Amber Shinsel, Forrest Bice, Kevin McIntosh
2013 A* conf
Detecting insider threats in a real corporate database of computer usage activity.
KDD
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
2013 J jnl
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.
Artif. Intell.
Shubhomoy Das, Travis Moore, Weng-Keen Wong, Simone Stumpf, Ian Oberst, Kevin McIntosh, Margaret M. Burnett
2011 A* conf
End-User Feature Labeling via Locally Weighted Logistic Regression.
AAAI
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
2011 A conf
End-user feature labeling: a locally-weighted regression approach.
IUI
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis Moore, Simone Stumpf, Kevin McIntosh, Margaret M. Burnett
2011 — conf
Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.
IS-EUD
Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, Kevin McIntosh