Mehmed M. Kantardzic

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 37

Top Venues

Publications

Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar
Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. 18 (1) (2024)
Hui-Chih Wang, Rachael Oluwayemisi Ehianeta, Chun-Ling Lin, Kuo-Chung Shang, Mehmed M. Kantardzic, Hersen Doong, Chih-Hung Chung
Intertitles and Attention in Social Media Video Advertisements: An Exploration of EEG Viewpoints. PACIS (2024)
Christopher M. Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed M. Kantardzic
Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. MLHC (2022)
Abdulgani Kahraman, Mehmed M. Kantardzic, Muhammed Kotan
Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines. IEEE Access 10 (2022)
Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic
Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? ICMLA (2022)
Hanqing Hu, Mehmed M. Kantardzic
Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. Intell. Decis. Technol. 15 (4) (2021)
Mehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic
Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. CBMS (2021)
Jiashun Chen, Hao Zhang, Dechang Pi, Mehmed M. Kantardzic, Qi Yin, Xin Liu
A Weight Possibilistic Fuzzy C-Means Clustering Algorithm. Sci. Program. 2021 (2021)
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)
Mehmet A. Gulum, Christopher M. Trombley, Mehmed M. Kantardzic
Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. Poly/DMAH@VLDB (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)
Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu
Detecting Different Types of Concept Drifts with Ensemble Framework. ICMLA (2018)
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)
Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu
Worker Filtering with Limited Supervision in Crowdsourcing Systems. ICMLA (2018)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Joung Woo Ryu
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks. CoRR (2018)
Jason Turner, Mehmed M. Kantardzic
Twitter Query Expansion via Word2Vec-Urban Dictionary Model. ICCBD (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)
Hanqing Hu, Mehmed M. Kantardzic
Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. HICSS (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains. CoRR (2017)
Elaheh Arabmakki, Mehmed M. Kantardzic
SOM-based partial labeling of imbalanced data stream. Neurocomputing 262 (2017)
Lingyu Lyu, Mehmed M. Kantardzic
Evaluating Complex Task through Crowdsourcing: Multiple Views Approach. CoRR (2017)
Tegjyot Singh Sethi, Mehmed M. Kantardzic
On the Reliable Detection of Concept Drift from Streaming Unlabeled Data. CoRR (2017)
Mehmed M. Kantardzic, Jozef M. Zurada
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS (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)
Mehmed M. Kantardzic, Jozef M. Zurada
Introduction to Streaming Data Analytics and Applications Minitrack. HICSS (2016)
Christopher J. Lowrance, Adrian P. Lauf, Mehmed M. Kantardzic
A fuzzy-based machine learning model for robot prediction of link quality. SSCI (2016)
Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki
Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. IRI (2016)
Mehmed M. Kantardzic
Editorial. Trans. Mach. Learn. Data Min. 9 (1) (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)
Hanqing Hu, Mehmed M. Kantardzic
Smart Preprocessing Improves Data Stream Mining. HICSS (2016)
Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir
Retail Store Segmentation for Target Marketing. ICDM (2015)
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)
Lingyu Lyu, Mehmed M. Kantardzic, Elaheh Arabmakki
Solar irradiance forecasting by using wavelet based denoising. CIES (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)
Brent Wenerstrom, Elaheh Arabmakki, Mehmed M. Kantardzic, Musa Hindi
Flu Outbreak Detection Using Summarized Twitter Messages. MDA (2013)
Brent Wenerstrom, Mehmed M. Kantardzic, Elaheh Arabmakki, Musa Hindi
Multi-Tweet Summarization for Flu Outbreak Detection. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text (2012)
Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, Ara Ra Khil
An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. BDA (2012)
Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim
Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. ICHIT (1) (2012)
Chamila Walgampaya, Mehmed M. Kantardzic, Brent Wenerstrom
Duplicate detection in pay-per-click streams using temporal stateful Bloom filters. Int. J. Data Anal. Tech. Strateg. 4 (4) (2012)
Brent Wenerstrom, Mehmed M. Kantardzic
Search Result Summaries Improved by Structure and Multimedia. KDIR (2012)
Wael Emara, Chamila Walgampaya, Mehmed M. Kantardzic
Validation of Click Fraud Detection Models. MLDM Posters (2011)
Wael Emara, Mehmed M. Kantardzic
Submodular Optimization for Efficient Semi-supervised Support Vector Machines CoRR (2011)
Brent Wenerstrom, Mehmed M. Kantardzic
ReClose: web page summarization combining summary techniques. Int. J. Web Inf. Syst. 7 (4) (2011)
Anala Aniruddha Pandit, Mehmed M. Kantardzic
New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets. ICAT (2011)
Wael Emara, Mehmed M. Kantardzic
Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. ICMLA (1) (2011)
Chamila Walgampaya, Mehmed M. Kantardzic
Cracking the Smart ClickBot. WSE (2011)
Brent Wenerstrom, Mehmed M. Kantardzic
Enhanced Visualization for Web-Based Summaries. VLDS (2011)
Mehmed M. Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu
Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory. MFI (2010)
Brent Wenerstrom, Mehmed M. Kantardzic
Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines. International Conference on Internet Computing (2010)
Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya
Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. IEA/AIE (2) (2010)
Wael Emara, Mehmed M. Kantardzic
Local properties of RBF-SVM during training for incremental learning. IJCNN (2009)
Wael Emara, Mehmed M. Kantardzic
How much Locality is Needed for Incremental RBF-SVM Learning? IC-AI (2009)
Dar-Jen Chang, Mehmed M. Kantardzic, Ming Ouyang
Hierarchical Clustering with CUDA/GPU. PDCCS (2009)
Wael Emara, Mehmed M. Kantardzic
The locality of RBF-SVM for incremental learning. CIDM (2009)
Mehmed M. Kantardzic, Pedram Sadeghian
Fractal analysis of semantically distributed data. Int. J. Gen. Syst. 38 (1) (2009)
Robert Fuller, Mehmed M. Kantardzic
Distributed Monitoring of Frequent Items. Trans. Mach. Learn. Data Min. 1 (2) (2008)
Pedram Sadeghian, Mehmed M. Kantardzic
The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. Spatial Cogn. Comput. 8 (3) (2008)
Wael Emara, Mehmed M. Kantardzic
Incremental Learning Using Partly Labeled Data. CATA (2008)
Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic
A predictive handoff scheme for multi-hop heterogeneous wireless networks. COMSWARE (2008)
Mehmed M. Kantardzic, Pedram Sadeghian
Personalized Previews of Alternative Routes in Virtual Environments. User Modeling (2007)
Viktoria Rojkova, Mehmed M. Kantardzic
Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach CoRR (2007)
Viktoria Rojkova, Mehmed M. Kantardzic
Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. CAINE (2007)
Mehmed M. Kantardzic, John Gant
Mining Sequences in Distributed Sensors Data for Energy Production. FLAIRS Conference (2007)
Viktoria Rojkova, Mehmed M. Kantardzic
Delayed Correlations in Inter-Domain Network Traffic CoRR (2007)
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. ISCC (2007)
Viktoria Rojkova, Mehmed M. Kantardzic
Feature extraction using random matrix theory approach. ICMLA (2007)
Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner
An Approach for Incremental Semi-supervised SVM. ICDM Workshops (2007)
Robert Fuller, Mehmed M. Kantardzic
FIDS: Monitoring Frequent Items over Distributed Data Streams. MLDM (2007)
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. CIDM (2007)
Chamila Walgampaya, Mehmed M. Kantardzic
Cost-Sensitive Analysis in Multiple Time Series Prediction. DMIN (2006)
Kemal Taljanovic, Mehmed M. Kantardzic
Computer-aided item selection for the cycle counting procedure. CAINE (2006)
Chamila Walgampaya, Mehmed M. Kantardzic
Selection of Distributed Sensors for Multiple Time Series Prediction. IJCNN (2006)
Ruck Thawonmas, Masayoshi Kurashige, Keita Iizuka, Mehmed M. Kantardzic
Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. ICEC (2006)
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. J. Parallel Distributed Comput. 66 (7) (2006)
Anup Kumar, Mehmed M. Kantardzic, Samuel Madden
Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations. IEEE Internet Comput. 10 (4) (2006)
Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy
Preview of recommended routes in large-scale virtual environments. VRCIA (2006)
Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy
Route Previews: Enhancing the Route Selection. VR (2006)
Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta
The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. Int. J. Hum. Comput. Stud. 64 (4) (2006)
Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa
A Scalable Pricing Model for Bandwidth Allocation. Electron. Commer. Res. 5 (2) (2005)
Antonio Badia, Mehmed M. Kantardzic
Graph building as a mining activity: finding links in the small. LinkKDD (2005)
Antonio Badia, Mehmed M. Kantardzic
Link Analysis Tools for Intelligence and Counterterrorism. ISI (2005)
Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta
Route Recommendations: Navigation Assistance in Complex Virtual Environments. CATA (2005)
Li Ge, Mehmed M. Kantardzic, Darren King
CCFDP: Collaborative Click Fraud Detection and Prevention System. CAINE (2005)
Mehmed M. Kantardzic, Pedram Sadeghian, Chun Shen
The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. SAC (2004)
Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian
An extensible service oriented distributed data mining framework. ICMLA (2004)
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
Mobile data mining for radio resource management in wireless mobile networks. ICMLA (2004)
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. ICDM (2004)
Mehmed M. Kantardzic, Antonio Badia
Efficient Implementation of Strong Negative Association Rules. ICMLA (2003)
Mehmed M. Kantardzic, Anup Kumar
Toward Autonomic Distributed Data Mining with Intelligent Web Services. IKE (2003)
Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa
Bandwidth allocation in a dynamic environment using a variable pricing policy. ISCC (2002)
Donald Anderson, Morris Belknap, Dennis Jacobi, Xiaohui Cui, Rammohan K. Ragade, Mehmed M. Kantardzic, Adel Said Elmaghraby
A Distributed Agent Architecture for Human Operations in Space. IS (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mehmed M. Kantardzic