Mehmed Kantardzic
Mehmed Kantardzic
Professor of Computer Science, University of Louisville
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Data mining: concepts, models, methods, and algorithms
M Kantardzic
John Wiley & Sons, 2011
Real-time click fraud detecting and blocking system
L Ge, M Kantardzic
US Patent App. 11/413,983, 2007
數據挖掘: 概念, 模型, 方法和算法
M Kantardzic
On the reliable detection of concept drift from streaming unlabeled data
TS Sethi, M Kantardzic
Expert Systems with Applications 82, 77-99, 2017
A review of explainable deep learning cancer detection models in medical imaging
MA Gulum, CM Trombley, M Kantardzic
Applied Sciences 11 (10), 4573, 2021
DataMining Concepts
M Kantardzic
Wiley-IEEE Press, 2003
No free lunch theorem for concept drift detection in streaming data classification: A review
H Hu, M Kantardzic, TS Sethi
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020
Is it better to combine predictions?
RD King, M Ouali, AT Strong, A Aly, A Elmaghraby, M Kantardzic, D Page
Protein Engineering 13 (1), 15-19, 2000
Handling adversarial concept drift in streaming data
TS Sethi, M Kantardzic
Expert systems with applications 97, 18-40, 2018
Data driven exploratory attacks on black box classifiers in adversarial domains
TS Sethi, M Kantardzic
Neurocomputing 289, 129-143, 2018
Don’t pay for validation: Detecting drifts from unlabeled data using margin density
TS Sethi, M Kantardzic
Procedia Computer Science 53, 103-112, 2015
Hierarchical clustering with cuda/gpu.
DJ Chang, MM Kantardzic, M Ouyang
PDCCS, 7-12, 2009
Autonomous vehicle-to-vehicle (V2V) decision making in roundabout using game theory
L Banjanovic-Mehmedovic, E Halilovic, I Bosankic, M Kantardzic, ...
International journal of advanced computer science and applications 7 (8), 2016
Next generation of data-mining applications
M Kantardzic, J Zurada
Wiley-IEEE Press, 2005
A grid density based framework for classifying streaming data in the presence of concept drift
TS Sethi, M Kantardzic, H Hu
Journal of Intelligent Information Systems 46, 179-211, 2016
The new generation of automatic landmark detection systems: Challenges and guidelines
P Sadeghian, M Kantardzic
Spatial Cognition & Computation 8 (3), 252-287, 2008
The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments
P Sadeghian, M Kantardzic, O Lozitskiy, W Sheta
International Journal of Human-Computer Studies 64 (4), 356-374, 2006
Improving click fraud detection by real time data fusion
M Kantardzic, C Walgampaya, B Wenerstrom, O Lozitskiy, S Higgins, ...
2008 IEEE International Symposium on Signal Processing and Information …, 2008
Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations
A Kumar, M Kantardzic, S Madden
IEEE Internet Computing 10 (4), 15-17, 2006
Clustering of online game users based on their trails using self-organizing map
R Thawonmas, M Kurashige, K Iizuka, M Kantardzic
Entertainment Computing-ICEC 2006: 5th International Conference, Cambridge …, 2006
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