Tegjyot Singh Sethi

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 17

Top Topics

Class Imbalance

Ensemble Classifier

Top Venues

WIREs Data Mining Knowl. Discov.

Expert Syst. Appl.

Publications

Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
No Free Lunch Theorem for concept drift detection in streaming data classification: A review. WIREs Data Mining Knowl. Discov. 10 (2) (2020)
Lingyu Lyu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks. Int. J. Data Sci. Anal. 7 (3) (2019)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Handling adversarial concept drift in streaming data. Expert Syst. Appl. 97 (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen
A dynamic-adversarial mining approach to the security of machine learning. WIREs Data Mining Knowl. Discov. 8 (3) (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium). Ubiquity 2018 (May) (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks. CoRR (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning. CoRR (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Handling Adversarial Concept Drift in Streaming Data. CoRR (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Data driven exploratory attacks on black box classifiers in adversarial domains. Neurocomputing 289 (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains. CoRR (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data. CoRR (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
On the reliable detection of concept drift from streaming unlabeled data. Expert Syst. Appl. 82 (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu
'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks. PAISI (2017)
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
A partial labeling framework for multi-class imbalanced streaming data. IJCNN (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki
Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. IRI (2016)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Hanqing Hu
A grid density based framework for classifying streaming data in the presence of concept drift. J. Intell. Inf. Syst. 46 (1) (2016)
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling. IRI (2016)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density. INNS Conference on Big Data (2015)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki, Hanqing Hu
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. IRI (2014)
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift. IRI (2014)
Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
Selecting samples for labeling in unbalanced streaming data environments. ICAT (2013)