Mehmed M. Kantardzic

115 papers A* 3B 4C 22Misc 11Journal 36Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Efficient Semantic Detection and Analysis of Misinformation in CBD-Related Tweets Using FAISS and Mistral NeMo Instruct. ICSC Jason Turner, Mehmet A. Gulum, Mehmed M. Kantardzic
2024	J	`jnl`	Explainable data stream mining: Why the new models are better. Intell. Decis. Technol. Hanqing Hu, Mehmed M. Kantardzic, Shreyas Kar
2024	—	`conf`	Intertitles and Attention in Social Media Video Advertisements: An Exploration of EEG Viewpoints. PACIS Hui-Chih Wang, Rachael Oluwayemisi Ehianeta, Chun-Ling Lin, Kuo-Chung Shang, Mehmed M. Kantardzic, Hersen Doong, Chih-Hung Chung
2022	C	`ed.`	21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan
2022	C	`conf`	Are Post-Hoc Explanation Methods for Prostate Lesion Detection Effective for Radiology End Use? ICMLA Mehmet Akif Gulum, Christopher M. Trombley, Merve Ozen, Mehmed M. Kantardzic
2022	J	`jnl`	Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines. IEEE Access Abdulgani Kahraman, Mehmed M. Kantardzic, Muhammed Kotan
2022	—	`conf`	Evaluating Uncertainty-Based Deep Learning Explanations for Prostate Lesion Detection. MLHC Christopher M. Trombley, Mehmet Akif Gulum, Merve Ozen, Enes Esen, Melih Aksamoglu, Mehmed M. Kantardzic
2021	J	`jnl`	A Weight Possibilistic Fuzzy C-Means Clustering Algorithm. Sci. Program. Jiashun Chen, Hao Zhang, Dechang Pi, Mehmed M. Kantardzic, Qi Yin, Xin Liu
2021	J	`jnl`	Heuristic ensemble for unsupervised detection of multiple types of concept drift in data stream classification. Intell. Decis. Technol. Hanqing Hu, Mehmed M. Kantardzic
2021	B	`conf`	Improved Deep Learning Explanations for Prostate Lesion Classification through Grad-CAM and Saliency Map Fusion. CBMS Mehmet Akif Gulum, Christopher M. Trombley, Mehmed M. Kantardzic
2020	—	`conf`	Multiple Interpretations Improve Deep Learning Transparency for Prostate Lesion Detection. Poly/DMAH@VLDB Mehmet A. Gulum, Christopher M. Trombley, Mehmed M. Kantardzic
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	C	`ed.`	17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018, Orlando, FL, USA, December 17-20, 2018 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Moamar Sayed-Mouchaweh, João Gama, Edwin Lughofer
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	C	`conf`	Detecting Different Types of Concept Drifts with Ensemble Framework. ICMLA Hanqing Hu, Mehmed M. Kantardzic, Lingyu Lyu
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	—	`conf`	Twitter Query Expansion via Word2Vec-Urban Dictionary Model. ICCBD Jason Turner, Mehmed M. Kantardzic
2018	J	`jnl`	When Good Machine Learning Leads to Bad Security: Big Data (Ubiquity symposium). Ubiquity Tegjyot Singh Sethi, Mehmed M. Kantardzic
2018	C	`conf`	Worker Filtering with Limited Supervision in Crowdsourcing Systems. ICMLA Lingyu Lyu, Mehmed M. Kantardzic, Hanqing Hu
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`	Evaluating Complex Task through Crowdsourcing: Multiple Views Approach. CoRR Lingyu Lyu, Mehmed M. Kantardzic
2017	—	`conf`	Introduction to Streaming Data Analytics and Applications Minitrack. HICSS Mehmed M. Kantardzic, Jozef M. Zurada
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
2017	J	`jnl`	SOM-based partial labeling of imbalanced data stream. Neurocomputing Elaheh Arabmakki, Mehmed M. Kantardzic
2017	—	`conf`	Sliding Reservoir Approach for Delayed Labeling in Streaming Data Classification. HICSS Hanqing Hu, Mehmed M. Kantardzic
2016	—	`conf`	A fuzzy-based machine learning model for robot prediction of link quality. SSCI Christopher J. Lowrance, Adrian P. Lauf, 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	J	`jnl`	Editorial. Trans. Mach. Learn. Data Min. Mehmed M. Kantardzic
2016	Misc	`conf`	Ensemble Classifier for Imbalanced Streaming Data Using Partial Labeling. IRI Elaheh Arabmakki, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2016	—	`conf`	Introduction to Streaming Data Analytics and Applications Minitrack. HICSS Mehmed M. Kantardzic, Jozef M. Zurada
2016	Misc	`conf`	Monitoring Classification Blindspots to Detect Drifts from Unlabeled Data. IRI Tegjyot Singh Sethi, Mehmed M. Kantardzic, Elaheh Arabmakki
2016	—	`conf`	Smart Preprocessing Improves Data Stream Mining. HICSS Hanqing Hu, Mehmed M. Kantardzic
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
2015	A*	`conf`	Retail Store Segmentation for Target Marketing. ICDM Emrah Bilgic, Mehmed M. Kantardzic, Ozgur Cakir
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
2014	—	`conf`	Solar irradiance forecasting by using wavelet based denoising. CIES Lingyu Lyu, Mehmed M. Kantardzic, Elaheh Arabmakki
2013	—	`conf`	Flu Outbreak Detection Using Summarized Twitter Messages. MDA Brent Wenerstrom, Elaheh Arabmakki, Mehmed M. Kantardzic, Musa Hindi
2013	—	`conf`	Selecting samples for labeling in unbalanced streaming data environments. ICAT Hanqing Hu, Mehmed M. Kantardzic, Tegjyot Singh Sethi
2012	—	`conf`	An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. BDA Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, Ara Ra Khil
2012	J	`jnl`	Duplicate detection in pay-per-click streams using temporal stateful Bloom filters. Int. J. Data Anal. Tech. Strateg. Chamila Walgampaya, Mehmed M. Kantardzic, Brent Wenerstrom
2012	—	`conf`	Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. ICHIT (1) Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim
2012	—	`conf`	Multi-Tweet Summarization for Flu Outbreak Detection. AAAI Fall Symposium: Information Retrieval and Knowledge Discovery in Biomedical Text Brent Wenerstrom, Mehmed M. Kantardzic, Elaheh Arabmakki, Musa Hindi
2012	—	`conf`	Search Result Summaries Improved by Structure and Multimedia. KDIR Brent Wenerstrom, Mehmed M. Kantardzic
2011	—	`conf`	Cracking the Smart ClickBot. WSE Chamila Walgampaya, Mehmed M. Kantardzic
2011	—	`conf`	Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. ICMLA (1) Wael Emara, Mehmed M. Kantardzic
2011	—	`conf`	Enhanced Visualization for Web-Based Summaries. VLDS Brent Wenerstrom, Mehmed M. Kantardzic
2011	—	`conf`	New hierarchical model using SOM improves accuracy of classifiers for multiclass data sets. ICAT Anala Aniruddha Pandit, Mehmed M. Kantardzic
2011	J	`jnl`	ReClose: web page summarization combining summary techniques. Int. J. Web Inf. Syst. Brent Wenerstrom, Mehmed M. Kantardzic
2011	J	`jnl`	Submodular Optimization for Efficient Semi-supervised Support Vector Machines CoRR Wael Emara, Mehmed M. Kantardzic
2011	—	`conf`	Validation of Click Fraud Detection Models. MLDM Posters Wael Emara, Chamila Walgampaya, Mehmed M. Kantardzic
2010	—	`conf`	Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. IEA/AIE (2) Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya
2010	—	`conf`	Click Fraud Prevention via multimodal evidence fusion by Dempster-Shafer theory. MFI Mehmed M. Kantardzic, Chamila Walgampaya, Roman Yampolskiy, Joung Woo Ryu
2010	—	`conf`	Sentence Ranking for Search Document Summarization Based on the Wisdom of Three Search Engines. International Conference on Internet Computing Brent Wenerstrom, Mehmed M. Kantardzic
2009	J	`jnl`	Fractal analysis of semantically distributed data. Int. J. Gen. Syst. Mehmed M. Kantardzic, Pedram Sadeghian
2009	—	`conf`	Hierarchical Clustering with CUDA/GPU. PDCCS Dar-Jen Chang, Mehmed M. Kantardzic, Ming Ouyang
2009	Misc	`conf`	How much Locality is Needed for Incremental RBF-SVM Learning? IC-AI Wael Emara, Mehmed M. Kantardzic
2009	C	`ed.`	International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan (Alan) Qi
2009	B	`conf`	Local properties of RBF-SVM during training for incremental learning. IJCNN Wael Emara, Mehmed M. Kantardzic
2009	C	`conf`	The locality of RBF-SVM for incremental learning. CIDM Wael Emara, Mehmed M. Kantardzic
2008	—	`conf`	A predictive handoff scheme for multi-hop heterogeneous wireless networks. COMSWARE Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic
2008	J	`jnl`	Distributed Monitoring of Frequent Items. Trans. Mach. Learn. Data Min. Robert Fuller, Mehmed M. Kantardzic
2008	Misc	`conf`	Incremental Learning Using Partly Labeled Data. CATA Wael Emara, Mehmed M. Kantardzic
2008	J	`jnl`	The New Generation of Automatic Landmark Detection Systems: Challenges and Guidelines. Spatial Cogn. Comput. Pedram Sadeghian, Mehmed M. Kantardzic
2008	C	`ed.`	The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007 ICMLA M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez
2007	—	`conf`	An Approach for Incremental Semi-supervised SVM. ICDM Workshops Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner
2007	J	`jnl`	Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach CoRR Viktoria Rojkova, Mehmed M. Kantardzic
2007	J	`jnl`	Delayed Correlations in Inter-Domain Network Traffic CoRR Viktoria Rojkova, Mehmed M. Kantardzic
2007	—	`conf`	FIDS: Monitoring Frequent Items over Distributed Data Streams. MLDM Robert Fuller, Mehmed M. Kantardzic
2007	C	`conf`	Feature extraction using random matrix theory approach. ICMLA Viktoria Rojkova, Mehmed M. Kantardzic
2007	C	`conf`	Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. CAINE Viktoria Rojkova, Mehmed M. Kantardzic
2007	C	`conf`	MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks. CIDM Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2007	Misc	`conf`	Mining Sequences in Distributed Sensors Data for Energy Production. FLAIRS Mehmed M. Kantardzic, John Gant
2007	C	`conf`	PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. ISCC Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2007	—	`conf`	Personalized Previews of Alternative Routes in Virtual Environments. User Modeling Mehmed M. Kantardzic, Pedram Sadeghian
2006	C	`conf`	Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. ICEC Ruck Thawonmas, Masayoshi Kurashige, Keita Iizuka, Mehmed M. Kantardzic
2006	C	`conf`	Computer-aided item selection for the cycle counting procedure. CAINE Kemal Taljanovic, Mehmed M. Kantardzic
2006	—	`conf`	Cost-Sensitive Analysis in Multiple Time Series Prediction. DMIN Chamila Walgampaya, Mehmed M. Kantardzic
2006	J	`jnl`	Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations. IEEE Internet Comput. Anup Kumar, Mehmed M. Kantardzic, Samuel Madden
2006	—	`conf`	Preview of recommended routes in large-scale virtual environments. VRCIA Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy
2006	A*	`conf`	Route Previews: Enhancing the Route Selection. VR Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy
2006	B	`conf`	Selection of Distributed Sensors for Multiple Time Series Prediction. IJCNN Chamila Walgampaya, Mehmed M. Kantardzic
2006	J	`jnl`	The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. Int. J. Hum. Comput. Stud. Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta
2006	J	`jnl`	User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. J. Parallel Distributed Comput. Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2005	J	`jnl`	A Scalable Pricing Model for Bandwidth Allocation. Electron. Commer. Res. Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa
2005	C	`conf`	CCFDP: Collaborative Click Fraud Detection and Prevention System. CAINE Li Ge, Mehmed M. Kantardzic, Darren King
2005	—	`conf`	Graph building as a mining activity: finding links in the small. LinkKDD Antonio Badia, Mehmed M. Kantardzic
2005	C	`conf`	Link Analysis Tools for Intelligence and Counterterrorism. ISI Antonio Badia, Mehmed M. Kantardzic
2005	Misc	`conf`	Route Recommendations: Navigation Assistance in Complex Virtual Environments. CATA Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa M. Sheta
2004	A*	`conf`	A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. ICDM Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2004	C	`conf`	An extensible service oriented distributed data mining framework. ICMLA Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian
2004	C	`conf`	Mobile data mining for radio resource management in wireless mobile networks. ICMLA Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2004	C	`ed.`	Proceedings of the 2004 International Conference on Machine Learning and Applications - ICMLA 2004, 16-18 December 2004, Louisville, KY, USA. ICMLA Mehmed M. Kantardzic, Mariofanna G. Milanova, Olfa Nasraoui
2004	Misc	`conf`	The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. SAC Mehmed M. Kantardzic, Pedram Sadeghian, Chun Shen
2003	C	`conf`	Efficient Implementation of Strong Negative Association Rules. ICMLA Mehmed M. Kantardzic, Antonio Badia
2003	Misc	`conf`	Toward Autonomic Distributed Data Mining with Intelligent Web Services. IKE Mehmed M. Kantardzic, Anup Kumar
2002	—	`conf`	A Distributed Agent Architecture for Human Operations in Space. IS Donald Anderson, Morris Belknap, Dennis Jacobi, Xiaohui Cui, Rammohan K. Ragade, Mehmed M. Kantardzic, Adel Said Elmaghraby
2002	C	`conf`	Bandwidth allocation in a dynamic environment using a variable pricing policy. ISCC Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa
2001	J	`jnl`	Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera. Int. J. Comput. Their Appl. Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic
2001	J	`jnl`	Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. Informatica (Slovenia) Mehmed M. Kantardzic, Anna Goldenberg, Troy E. Howe, Peter Faguy
2001	—	`conf`	Data Mining Approach in a Selection of Laparoscopic Techniques. IS Mehmed M. Kantardzic, Resad P. Pasic, Claire Templeman, Ronald Levine
2000	—	`conf`	Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera. IS Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic
2000	Misc	`conf`	New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach. CATA Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic, Adel Said Elmaghraby
1999	J	`jnl`	Visualization of neural-network gaps based on error analysis. IEEE Trans. Neural Networks Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby
1997	J	`jnl`	Logic-Oriented Model Of Artificial Neural Networks. Inf. Sci. Mehmed M. Kantardzic, Adel Said Elmaghraby
1991	—	`conf`	Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems. AI*IA Mehmed M. Kantardzic, Vensada Okanovic, Selma Rizvic, A. Filipovic, H. Glavic
1990	C	`conf`	A Comprehensive Environment for Computer Aid in Technical Security System Design. DEXA Mehmed M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic