M. Kantardzic

Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic, 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

A dynamic‐adversarial mining approach to the security of machine learning

Mehmed M. Kantardzic, Jiashun Chen, Tegjyot Singh Sethi, 2018, WIREs Data Mining Knowl. Discov..

Graph building as a mining activity: finding links in the small

Antonio Badia, Mehmed M. Kantardzic, M. Kantardzic, 2005, LinkKDD '05.

No Free Lunch Theorem for concept drift detection in streaming data classification: A review

Mehmed Kantardzic, Hanqing Hu, Tegjyot Singh Sethi, 2019, WIREs Data Mining Knowl. Discov..

Data Mining: Concepts, Models, Methods, and Algorithms

Mehmed Kantardzic, M. Kantardzic, 2002 .

Data Mining from Multimedia Patient Records

Adel Said Elmaghraby, Adel Elmaghraby, Mark P. Wachowiak, 2006 .

On the reliable detection of concept drift from streaming unlabeled data

Mehmed M. Kantardzic, Tegjyot Singh Sethi, M. Kantardzic, 2017, Expert Syst. Appl..

A Review of Explainable Deep Learning Cancer Detection Models in Medical Imaging

Mehmed Kantardzic, Christopher M. Trombley, Mehmet A. Gulum, 2021, Applied Sciences.

A Weight Possibilistic Fuzzy C-Means Clustering Algorithm

Dechang Pi, Mehmed M. Kantardzic, Jiashun Chen, 2021, Sci. Program..

Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use?

Christopher M. Trombley, M. Kantardzic, M. Ozen, 2022, 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).

The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments

Pedram Sadeghian, Mehmed Kantardzic, Oleksandr Lozitskiy, 2006, Int. J. Hum. Comput. Stud..

Evaluating Complex Task through Crowdsourcing: Multiple Views Approach pdf

Mehmed M. Kantardzic, Lingyu Lyu, M. Kantardzic, 2017, ArXiv.

Building intelligence in gaming and training simulations

Adel Said Elmaghraby, Norman E. Gough, Adel Elmaghraby, 2004 .

A partial labeling framework for multi-class imbalanced streaming data

Mehmed M. Kantardzic, Elaheh Arabmakki, Tegjyot Singh Sethi, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification

M. Kantardzic, Hanqing Hu, 2021, Intell. Decis. Technol..

Building a New Classifier in an Ensemble Using Streaming Unlabeled Data

Joung Woo Ryu, Mehmed M. Kantardzic, Chamila Walgampaya, 2010, IEA/AIE.

Detecting Different Types of Concept Drifts with Ensemble Framework

Mehmed M. Kantardzic, Hanqing Hu, Lingyu Lyu, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Smart Preprocessing Improves Data Stream Mining

Mehmed M. Kantardzic, Hanqing Hu, M. Kantardzic, 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

An Approach for Incremental Semi-supervised SVM

Wolfgang Lehner, Dirk Habich, Marcel Karnstedt, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Detecting Tweets Containing Cannabidiol-Related COVID-19 Misinformation Using Transformer Language Models and Warning Letters From Food and Drug Administration: Content Analysis and Identification

M. Kantardzic, R. Vickers-Smith, A. Brown, 2023, JMIR infodemiology.

Handling adversarial concept drift in streaming data

Mehmed M. Kantardzic, Tegjyot Singh Sethi, M. Kantardzic, 2018, Expert Syst. Appl..

Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data

Mehmed M. Kantardzic, Elaheh Arabmakki, Tegjyot Singh Sethi, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density

Mehmed M. Kantardzic, Tegjyot Singh Sethi, M. Kantardzic, 2015, INNS Conference on Big Data.

Science and Engineering Applications

Jozef Zurada, Mehmed Kantardzic, M. Kantardzic, 2005 .

Ensemble Classifier based on Misclassified Streaming Data

J. W. Ryu, Mehmed Kantardzic, Chamila Walgampaya, 2010 .

Discovery of Patterns in Earth Science Data Using Data Mining

Jozef Zurada, Mehmed Kantardzic, M. Kantardzic, 2005 .

Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

M. Kantardzic, R. Vickers-Smith, Jason Turner, 2021, Journal of medical Internet research.

Classification and Analysis of Personal and Commercial CBD Tweets

M. Kantardzic, R. Vickers-Smith, Jason Turner, 2021 .

Validation of Click Fraud Detection Models

Mehmed M. Kantardzic, Wael Emara, Chamila Walgampaya, 2011, MLDM Posters.

Autonomous Vehicle-to-Vehicle (V2V) Decision Making in Roundabout using Game Theory

Mehmed Kantardzic, Suad Kasapovic, Lejla Banjanovic-Mehmedovic, 2016 .

Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines

M. Kantardzic, Muhammed Kotan, Abdulgani Kahraman, 2022, IEEE Access.

A Data-Driven Multi-Regime Approach for Predicting Energy Consumption

M. M. Kahraman, M. Kantardzic, Muhammed Kotan, 2021, Energies.

Sequential Pattern Mining Method for Predictive Maintenance of Large Mining Trucks

Abdulgani Kahraman, Mehmed Kantardzic, M. Mustafa Kahraman, 2021 .

Efficient Implementation of Strong Negative Association Rules

Antonio Badia, Mehmed M. Kantardzic, M. Kantardzic, 2003, ICMLA.

Mining Wafer Fabrication: Framework and Challenges

Jozef Zurada, Mehmed Kantardzic, M. Kantardzic, 2005 .

Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains pdf

Mehmed M. Kantardzic, Tegjyot Singh Sethi, M. Kantardzic, 2017, Neurocomputing.

Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks

Mehmed M. Kantardzic, Tegjyot Singh Sethi, Lingyu Lyu, 2018, International Journal of Data Science and Analytics.

Feature extraction using random matrix theory approach

Mehmed M. Kantardzic, Viktoria Rojkova, M. Kantardzic, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Proceedings of International Symposium on Data Mining, Virtual Environments, and Online Communities Joint with Coe Postdoctoral Researchers' Poster Session International Symposium on Data Mining, Virtual Environments, and Online Communities Joint with Coe Postdoctoral Researchers' Poster Session:40

M. Kantardzic, R. Thawonmas, K. Hachimura, 2006 .

Hierarchical Clustering with CUDA/GPU

Ming Ouyang, Mehmed M. Kantardzic, Dar-Jen Chang, 2009, PDCCS.

Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection

Christopher M. Trombley, M. Kantardzic, M. Gulum, 2022, MLHC.

Building intelligence in third-generation training and battle simulations

Adel Said Elmaghraby, Mehmed Kantardzic, Don Anderson, 2003, SPIE Defense + Commercial Sensing.

Solar irradiance forecasting by using wavelet based denoising

Mehmed M. Kantardzic, Elaheh Arabmakki, Lingyu Lyu, 2014, 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

Delayed Correlations in Inter-Domain Network Traffic pdf

Mehmed M. Kantardzic, Viktoria Rojkova, M. Kantardzic, 2007, ArXiv.

Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach pdf

Mehmed M. Kantardzic, Viktoria Rojkova, M. Kantardzic, 2007, ArXiv.

Default Reasoning in DIPSY-E System

Vensada Okanovic, M. Kantardžić, A. Filipović, 1991 .

Spatial Navigation Assistance System for Large Virtual Environments: The Data Mining Approach

Pedram Sadeghian, Walaa M. Sheta, Mehmed Kantardzic, 2008 .

Mining the Cystic Fibrosis Data

Jozef Zurada, Mehmed Kantardzic, M. Kantardzic, 2005 .

Clustering of Online Game Users Based on Their Trails Using Self-organizing Map

Ruck Thawonmas, Mehmed M. Kantardzic, Masayoshi Kurashige, 2006, ICEC.

The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines

Pedram Sadeghian, Mehmed M. Kantardzic, M. Kantardzic, 2008, Spatial Cogn. Comput..

User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks

Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic, 2006, J. Parallel Distributed Comput..

Mobile data mining for radio resource management in wireless mobile networks

Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Mobility-based predictive call admission control and resource reservation for next-generation mobile communications networks

Sherif Rashad, Mehmed Kantardzic, M. Kantardzic, 2006 .

Selection of Distributed Sensors for Multiple Time Series Prediction

Mehmed M. Kantardzic, Chamila Walgampaya, M. Kantardzic, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Cost-Sensitive Analysis in Multiple Time Series Prediction

Mehmed M. Kantardzic, Chamila Walgampaya, M. Kantardzic, 2006, DMIN.

Explainable data stream mining: Why the new models are better

M. Kantardzic, Hanqing Hu, Shreyas Kar, 2024, Intelligent Decision Technologies.

An Active Learning Approach to Egeria Densa Detection in Digital Imagery

Huan Liu, Amit Mandvikar, Patricia G. Foschi, 2005 .

Forecasting seasonal hydrologic response in major river basins.

M. Kantardzic, Tanvir Hossain Bhuiyan, Khodeza Begum, 2014 .