A Comprehensive Environment for Computer Aid in Technical Security System Design. - Mehmed M. Kantardzic; M. Jeftovic; H. Glavic; A. Filipovic; D. Gajic; N. Milicic (DEXA, 1990)

Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems. - Mehmed M. Kantardzic; Vensada Okanovic; Selma Rizvic; A. Filipovic; H. Glavic (AI*IA, 1991)

Logic-Oriented Model Of Artificial Neural Networks. - Mehmed M. Kantardzic; Adel Said Elmaghraby (Inf. Sci., 1997)

Visualization of neural-network gaps based on error analysis. - Mehmed M. Kantardzic; A. A. Aly; Adel Said Elmaghraby (IEEE Trans. Neural Networks, 1999)

Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera. - Mehmed M. Kantardzic; Hazem M. Hamdan; Benjamin Djulbegovic (IS, 2000)

New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach. - Mehmed M. Kantardzic; Hazem M. Hamdan; Benjamin Djulbegovic; Adel Said Elmaghraby (CATA, 2000)

Data Mining Approach in a Selection of Laparoscopic Techniques. - Mehmed M. Kantardzic; Resad P. Pasic; Claire Templeman; Ronald Levine (IS, 2001)

Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. - Mehmed M. Kantardzic; Anna Goldenberg; Troy E. Howe; Peter Faguy (Informatica (Slovenia), 2001)

Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera. - Mehmed M. Kantardzic; Hazem M. Hamdan; Benjamin Djulbegovic (Int. J. Comput. Their Appl., 2001)

A Distributed Agent Architecture for Human Operations in Space. - Donald Anderson; Morris Belknap; Dennis Jacobi; Xiaohui Cui; Rammohan K. Ragade; Mehmed M. Kantardzic; Adel Said Elmaghraby (IS, 2002)

Bandwidth allocation in a dynamic environment using a variable pricing policy. - Adel Said Elmaghraby; Anup Kumar; Mehmed M. Kantardzic; Mostafa Gamal Mostafa (ISCC, 2002)

Efficient Implementation of Strong Negative Association Rules. - Mehmed M. Kantardzic; Antonio Badia (ICMLA, 2003)

Toward Autonomic Distributed Data Mining with Intelligent Web Services. - Mehmed M. Kantardzic; Anup Kumar (IKE, 2003)

A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ICDM, 2004)

An extensible service oriented distributed data mining framework. - Anup Kumar; Mehmed M. Kantardzic; Padmanabhan Ramaswamy; Pedram Sadeghian (ICMLA, 2004)

Mobile data mining for radio resource management in wireless mobile networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ICMLA, 2004)

The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. - Mehmed M. Kantardzic; Pedram Sadeghian; Chun Shen (SAC, 2004)

CCFDP: Collaborative Click Fraud Detection and Prevention System. - Li Ge; Mehmed M. Kantardzic; Darren King (CAINE, 2005)

Route Recommendations: Navigation Assistance in Complex Virtual Environments. - Pedram Sadeghian; Mehmed M. Kantardzic; Oleksandr Lozitskiy; Walaa M. Sheta (CATA, 2005)

Link Analysis Tools for Intelligence and Counterterrorism. - Antonio Badia; Mehmed M. Kantardzic (ISI, 2005)

Graph building as a mining activity: finding links in the small. - Antonio Badia; Mehmed M. Kantardzic (LinkKDD, 2005)

A Scalable Pricing Model for Bandwidth Allocation. - Adel Said Elmaghraby; Anup Kumar; Mehmed M. Kantardzic; Mostafa Gamal Mostafa (Electron. Commer. Res., 2005)

Computer-aided item selection for the cycle counting procedure. - Kemal Taljanovic; Mehmed M. Kantardzic (CAINE, 2006)

Cost-Sensitive Analysis in Multiple Time Series Prediction. - Chamila Walgampaya; Mehmed M. Kantardzic (DMIN, 2006)

Selection of Distributed Sensors for Multiple Time Series Prediction. - Chamila Walgampaya; Mehmed M. Kantardzic (IJCNN, 2006)

Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. - Ruck Thawonmas; Masayoshi Kurashige; Keita Iizuka; Mehmed M. Kantardzic (ICEC, 2006)

Route Previews: Enhancing the Route Selection. - Pedram Sadeghian; Mehmed M. Kantardzic; Oleksandr Lozitskiy; Yuriy Lozitskiy (VR, 2006)

Preview of recommended routes in large-scale virtual environments. - Pedram Sadeghian; Mehmed M. Kantardzic; Oleksandr Lozitskiy; Yuriy Lozitskiy (VRCIA, 2006)

The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. - Pedram Sadeghian; Mehmed M. Kantardzic; Oleksandr Lozitskiy; Walaa M. Sheta (Int. J. Hum. Comput. Stud., 2006)

Guest Editors' Introduction: Distributed Data Mining–Framework and Implementations. - Anup Kumar; Mehmed M. Kantardzic; Samuel Madden 001 (IEEE Internet Comput., 2006)

User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (J. Parallel Distributed Comput., 2006)

Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. - Viktoria Rojkova; Mehmed M. Kantardzic (CAINE, 2007)

MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (CIDM, 2007)

Mining Sequences in Distributed Sensors Data for Energy Production. - Mehmed M. Kantardzic; John Gant (FLAIRS, 2007)

An Approach for Incremental Semi-supervised SVM. - Wael Emara; Mehmed M. Kantardzic; Marcel Karnstedt; Kai-Uwe Sattler; Dirk Habich; Wolfgang Lehner (ICDM Workshops, 2007)

Feature extraction using random matrix theory approach. - Viktoria Rojkova; Mehmed M. Kantardzic (ICMLA, 2007)

PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. - Sherif Rashad; Mehmed M. Kantardzic; Anup Kumar (ISCC, 2007)

FIDS: Monitoring Frequent Items over Distributed Data Streams. - Robert Fuller; Mehmed M. Kantardzic (MLDM, 2007)

Personalized Previews of Alternative Routes in Virtual Environments. - Mehmed M. Kantardzic; Pedram Sadeghian (User Modeling, 2007)

Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach - Viktoria Rojkova; Mehmed M. Kantardzic (CoRR, 2007)

Delayed Correlations in Inter-Domain Network Traffic - Viktoria Rojkova; Mehmed M. Kantardzic (CoRR, 2007)

Incremental Learning Using Partly Labeled Data. - Wael Emara; Mehmed M. Kantardzic (CATA, 2008)

A predictive handoff scheme for multi-hop heterogeneous wireless networks. - Abraham George; Sherif Rashad; Anup Kumar; Mehmed M. Kantardzic (COMSWARE, 2008)

Distributed Monitoring of Frequent Items. - Robert Fuller; Mehmed M. Kantardzic (Trans. Mach. Learn. Data Min., 2008)

The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. - Pedram Sadeghian; Mehmed M. Kantardzic (Spatial Cogn. Comput., 2008)

Hierarchical Clustering with CUDA/GPU. - Dar-Jen Chang; Mehmed M. Kantardzic; Ming Ouyang (PDCCS, 2009)

The locality of RBF-SVM for incremental learning. - Wael Emara; Mehmed M. Kantardzic (CIDM, 2009)

How much Locality is Needed for Incremental RBF-SVM Learning? - Wael Emara; Mehmed M. Kantardzic (IC-AI, 2009)

Local properties of RBF-SVM during training for incremental learning. - Wael Emara; Mehmed M. Kantardzic (IJCNN, 2009)

Fractal analysis of semantically distributed data. - Mehmed M. Kantardzic; Pedram Sadeghian (Int. J. Gen. Syst., 2009)

Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines. - Brent Wenerstrom; Mehmed M. Kantardzic (International Conference on Internet Computing, 2010)

Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. - Mehmed M. Kantardzic; Joung Woo Ryu; Chamila Walgampaya (IEA/AIE (2), 2010)

Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory. - Mehmed M. Kantardzic; Chamila Walgampaya; Roman Yampolskiy; Joung Woo Ryu (MFI, 2010)

New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets. - Anala Aniruddha Pandit; Mehmed M. Kantardzic (ICAT, 2011)

Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. - Wael Emara; Mehmed M. Kantardzic (ICMLA (1), 2011)

Validation of Click Fraud Detection Models. - Wael Emara; Chamila Walgampaya; Mehmed M. Kantardzic (MLDM Posters, 2011)

Enhanced Visualization for Web-Based Summaries. - Brent Wenerstrom; Mehmed M. Kantardzic (VLDS, 2011)

Cracking the Smart ClickBot. - Chamila Walgampaya; Mehmed M. Kantardzic (WSE, 2011)

Submodular Optimization for Efficient Semi-supervised Support Vector Machines - Wael Emara; Mehmed M. Kantardzic (CoRR, 2011)

ReClose: web page summarization combining summary techniques. - Brent Wenerstrom; Mehmed M. Kantardzic (Int. J. Web Inf. Syst., 2011)

Multi-Tweet Summarization for Flu Outbreak Detection. - Brent Wenerstrom; Mehmed M. Kantardzic; Elaheh Arabmakki; Musa Hindi (AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text, 2012)

An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. - Joung Woo Ryu; Mehmed M. Kantardzic; Myung-Won Kim; Ara Ra Khil (BDA, 2012)

Search Result Summaries Improved by Structure and Multimedia. - Brent Wenerstrom; Mehmed M. Kantardzic (KDIR, 2012)

Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. - Joung Woo Ryu; Mehmed M. Kantardzic; Myung-Won Kim (ICHIT (1), 2012)

Duplicate detection in pay-per-click streams using temporal stateful Bloom filters. - Chamila Walgampaya; Mehmed M. Kantardzic; Brent Wenerstrom (Int. J. Data Anal. Tech. Strateg., 2012)

Selecting samples for labeling in unbalanced streaming data environments. - Hanqing Hu; Mehmed M. Kantardzic; Tegjyot Singh Sethi (ICAT, 2013)

Flu Outbreak Detection Using Summarized Twitter Messages. - Brent Wenerstrom; Elaheh Arabmakki; Mehmed M. Kantardzic; Musa Hindi (MDA, 2013)

Solar irradiance forecasting by using wavelet based denoising. - Lingyu Lyu; Mehmed M. Kantardzic; Elaheh Arabmakki (CIES, 2014)

RLS-A reduced labeled samples approach for streaming imbalanced data with concept drift. - Elaheh Arabmakki; Mehmed M. Kantardzic; Tegjyot Singh Sethi (IRI, 2014)

An ensemble classification approach for handling spatio-temporal drifts in partially labeled data streams. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Elaheh Arabmakki; Hanqing Hu (IRI, 2014)

Retail Store Segmentation for Target Marketing. - Emrah Bilgic; Mehmed M. Kantardzic; Ozgur Cakir (ICDM, 2015)

Don't Pay for Validation: Detecting Drifts from Unlabeled data Using Margin Density. - Tegjyot Singh Sethi; Mehmed M. Kantardzic (INNS Conference on Big Data, 2015)

Smart Preprocessing Improves Data Stream Mining. - Hanqing Hu; Mehmed M. Kantardzic (HICSS, 2016)

Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling. - Elaheh Arabmakki; Mehmed M. Kantardzic; Tegjyot Singh Sethi (IRI, 2016)

Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Elaheh Arabmakki (IRI, 2016)

A fuzzy-based machine learning model for robot prediction of link quality. - Christopher J. Lowrance; Adrian P. Lauf; Mehmed M. Kantardzic (SSCI, 2016)

A grid density based framework for classifying streaming data in the presence of concept drift. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Hanqing Hu (J. Intell. Inf. Syst., 2016)

Editorial. - Mehmed M. Kantardzic (Trans. Mach. Learn. Data Min., 2016)

Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. - Hanqing Hu; Mehmed M. Kantardzic (HICSS, 2017)

Introduction to Streaming Data Analytics and Applications Minitrack. - Mehmed M. Kantardzic; Jozef M. Zurada (HICSS, 2017)

A partial labeling framework for multi-class imbalanced streaming data. - Elaheh Arabmakki; Mehmed M. Kantardzic; Tegjyot Singh Sethi (IJCNN, 2017)

'Security Theater': On the Vulnerability of Classifiers to Exploratory Attacks. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Joung Woo Ryu (PAISI, 2017)

Evaluating Complex Task through Crowdsourcing: Multiple Views Approach. - Lingyu Lyu; Mehmed M. Kantardzic (CoRR, 2017)

On the reliable detection of concept drift from streaming unlabeled data. - Tegjyot Singh Sethi; Mehmed M. Kantardzic (Expert Syst. Appl., 2017)

SOM-based partial labeling of imbalanced data stream. - Elaheh Arabmakki; Mehmed M. Kantardzic (Neurocomputing, 2017)

Twitter Query Expansion via Word2Vec-Urban Dictionary Model. - Jason Turner; Mehmed M. Kantardzic (ICCBD, 2018)

Detecting Different Types of Concept Drifts with Ensemble Framework. - Hanqing Hu; Mehmed M. Kantardzic; Lingyu Lyu (ICMLA, 2018)

Worker Filtering with Limited Supervision in Crowdsourcing Systems. - Lingyu Lyu; Mehmed M. Kantardzic; Hanqing Hu (ICMLA, 2018)

Handling adversarial concept drift in streaming data. - Tegjyot Singh Sethi; Mehmed M. Kantardzic (Expert Syst. Appl., 2018)

Data driven exploratory attacks on black box classifiers in adversarial domains. - Tegjyot Singh Sethi; Mehmed M. Kantardzic (Neurocomputing, 2018)

When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium). - Tegjyot Singh Sethi; Mehmed M. Kantardzic (Ubiquity, 2018)

A dynamic-adversarial mining approach to the security of machine learning. - Tegjyot Singh Sethi; Mehmed M. Kantardzic; Lingyu Lyu; Jiashun Chen (WIREs Data Mining Knowl. Discov., 2018)

Sloppiness mitigation in crowdsourcing: detecting and correcting bias for crowd scoring tasks. - Lingyu Lyu; Mehmed M. Kantardzic; Tegjyot Singh Sethi (Int. J. Data Sci. Anal., 2019)

Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. - Mehmet A. Gulum; Christopher M. Trombley; Mehmed M. Kantardzic (Poly/DMAH@VLDB, 2020)

No Free Lunch Theorem for concept drift detection in streaming data classification: A review. - Hanqing Hu; Mehmed M. Kantardzic; Tegjyot Singh Sethi (WIREs Data Mining Knowl. Discov., 2020)

Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. - Mehmet Akif Gulum; Christopher M. Trombley; Mehmed M. Kantardzic (CBMS, 2021)

Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. - Hanqing Hu; Mehmed M. Kantardzic (Intell. Decis. Technol., 2021)

A Weight Possibilistic Fuzzy C-Means Clustering Algorithm. - Jiashun Chen; Hao Zhang; Dechang Pi; Mehmed M. Kantardzic; Qi Yin; Xin Liu (Sci. Program., 2021)

Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? - Mehmet Akif Gulum; Christopher M. Trombley; Merve Ozen; Mehmed M. Kantardzic (ICMLA, 2022)

Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. - Christopher M. Trombley; Mehmet Akif Gulum; Merve Ozen; Enes Esen; Melih Aksamoglu; Mehmed M. Kantardzic (MLHC, 2022)

Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines. - Abdulgani Kahraman; Mehmed M. Kantardzic; Muhammed Kotan (IEEE Access, 2022)

Intertitles and Attention in Social Media Video Advertisements: An Exploration of EEG Viewpoints. - Hui-Chih Wang; Rachael Oluwayemisi Ehianeta; Chun-Ling Lin; Kuo-Chung Shang; Mehmed M. Kantardzic; Hersen Doong; Chih-Hung Chung (PACIS, 2024)

Explainable data stream mining: Why the new models are better. - Hanqing Hu; Mehmed M. Kantardzic; Shreyas Kar (Intell. Decis. Technol., 2024)

Efficient Semantic Detection and Analysis of Misinformation in CBD-Related Tweets Using FAISS and Mistral NeMo Instruct. - Jason Turner; Mehmet A. Gulum; Mehmed M. Kantardzic (ICSC, 2025)