Tegjyot Singh Sethi

21 papers B 1Misc 4Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2020 J jnl
No Free Lunch Theorem for concept drift detection in streaming data classification: A review.
WIREs Data Mining Knowl. Discov.
Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2019 J jnl
Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks.
Int. J. Data Sci. Anal.
Lingyu Lyu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2018 J jnl
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning.
CoRR
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen
2018 J jnl
A dynamic-adversarial mining approach to the security of machine learning.
WIREs Data Mining Knowl. Discov.
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Lingyu Lyu, Jiashun Chen
2018 J jnl
Data driven exploratory attacks on black box classifiers in adversarial domains.
Neurocomputing
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2018 J jnl
Handling Adversarial Concept Drift in Streaming Data.
CoRR
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2018 J jnl
Handling adversarial concept drift in streaming data.
Expert Syst. Appl.
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2018 J jnl
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks.
CoRR
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu
2018 J jnl
When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium).
Ubiquity
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2017 — conf
'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks.
PAISI
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu
2017 B conf
A partial labeling framework for multi-class imbalanced streaming data.
IJCNN
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2017 J jnl
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains.
CoRR
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2017 J jnl
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data.
CoRR
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2017 J jnl
On the reliable detection of concept drift from streaming unlabeled data.
Expert Syst. Appl.
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2016 J jnl
A grid density based framework for classifying streaming data in the presence of concept drift.
J. Intell. Inf. Syst.
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Hanqing Hu
2016 Misc conf
Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling.
IRI
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2016 Misc conf
Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data.
IRI
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki
2015 — conf
Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density.
INNS Conference on Big Data
Tegjyot Singh Sethi, Mehmed M. Kantardzic
2014 Misc conf
An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams.
IRI
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki, Hanqing Hu
2014 Misc conf
RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift.
IRI
Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2013 — conf
Selecting samples for labeling in unbalanced streaming data environments.
ICAT
Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi