| 2012 | ||
|---|---|---|
| c41 | Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim, A. Ra Khil: An Efficient Method of Building an Ensemble of Classifiers in Streaming Data. BDA 2012: 122-133 | |
| c40 | Joung Woo Ryu, Mehmed M. Kantardzic, Myung-Won Kim: Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data. ICHIT (1) 2012: 533-540 | |
| 2011 | ||
| c39 | Wael Emara, Mehmed M. Kantardzic: Efficient Approximate Semi-supervised Support Vector Machines through Submodular Optimization. ICMLA (1) 2011: 339-345 | |
| c38 | Wael Emara, Chamila Walgampaya, Mehmed M. Kantardzic: Validation of Click Fraud Detection Models. MLDM Posters 2011: 66-71 | |
| c37 | ||
| i3 | Wael Emara, Mehmed M. Kantardzic: Submodular Optimization for Efficient Semi-supervised Support Vector Machines. CoRR abs/1107.5236 (2011) | |
| 2010 | ||
| c36 | Mehmed M. Kantardzic, Joung Woo Ryu, Chamila Walgampaya: Building a New Classifier in an Ensemble Using Streaming Unlabeled Data. IEA/AIE (2) 2010: 77-86 | |
| 2009 | ||
| c35 | Dar-Jen Chang, Mehmed M. Kantardzic, Ming Ouyang: Hierarchical Clustering with CUDA/GPU. ISCA PDCCS 2009: 7-12 | |
| c34 | Wael Emara, Mehmed M. Kantardzic: The locality of RBF-SVM for incremental learning. CIDM 2009: 355-362 | |
| c33 | Wael Emara, Mehmed M. Kantardzic: How much Locality is Needed for Incremental RBF-SVM Learning? IC-AI 2009: 954-959 | |
| c32 | Wael Emara, Mehmed M. Kantardzic: Local properties of RBF-SVM during training for incremental learning. IJCNN 2009: 779-786 | |
| e2 | M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan Qi (Eds.): International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009. IEEE Computer Society 2009, isbn 978-0-7695-3926-3 | |
| 2008 | ||
| j9 | Robert Fuller, Mehmed M. Kantardzic: Distributed Monitoring of Frequent Items. Trans. MLDM 1(2): 67-82 (2008) | |
| c31 | Wael Emara, Mehmed M. Kantardzic: Incremental Learning Using Partly Labeled Data. Computers and Their Applications 2008: 1-8 | |
| c30 | Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic: A predictive handoff scheme for multi-hop heterogeneous wireless networks. COMSWARE 2008: 545-550 | |
| e1 | 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 (Eds.): The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007. IEEE Computer Society 2008, isbn 0-7695-3069-9 | |
| 2007 | ||
| c29 | Viktoria Rojkova, Mehmed M. Kantardzic: Indicators of Network-Wide Traffic Dynamics: Random Matrix Theory Approach. CAINE 2007: 97-102 | |
| c28 | 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: 552-559 | |
| c27 | Mehmed M. Kantardzic, John Gant: Mining Sequences in Distributed Sensors Data for Energy Production. FLAIRS Conference 2007: 484-489 | |
| c26 | Wael Emara, Mehmed M. Kantardzic, Marcel Karnstedt, Kai-Uwe Sattler, Dirk Habich, Wolfgang Lehner: An Approach for Incremental Semi-supervised SVM. ICDM Workshops 2007: 539-544 | |
| c25 | Viktoria Rojkova, Mehmed M. Kantardzic: Feature extraction using random matrix theory approach. ICMLA 2007: 410-416 | |
| c24 | Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar: PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks. ISCC 2007: 139-144 | |
| c23 | Robert Fuller, Mehmed M. Kantardzic: FIDS: Monitoring Frequent Items over Distributed Data Streams. MLDM 2007: 464-478 | |
| c22 | Mehmed M. Kantardzic, Pedram Sadeghian: Personalized Previews of Alternative Routes in Virtual Environments. User Modeling 2007: 167-176 | |
| i2 | Viktoria Rojkova, Mehmed M. Kantardzic: Analysis of Inter-Domain Traffic Correlations: Random Matrix Theory Approach. CoRR abs/0706.2520 (2007) | |
| i1 | Viktoria Rojkova, Mehmed M. Kantardzic: Delayed Correlations in Inter-Domain Network Traffic. CoRR abs/0707.1083 (2007) | |
| 2006 | ||
| j8 | Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa Sheta: The frequent wayfinding-sequence (FWS) methodology: Finding preferred routes in complex virtual environments. International Journal of Man-Machine Studies 64(4): 356-374 (2006) | |
| j7 | Anup Kumar, Mehmed M. Kantardzic, Samuel Madden: Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations. IEEE Internet Computing 10(4): 15-17 (2006) | |
| j6 | Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar: User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks. J. Parallel Distrib. Comput. 66(7): 971-988 (2006) | |
| c21 | Kemal Taljanovic, Mehmed M. Kantardzic: Computer-aided item selection for the cycle counting procedure. CAINE 2006: 48-53 | |
| c20 | Chamila Walgampaya, Mehmed M. Kantardzic: Cost-Sensitive Analysis in Multiple Time Series Prediction. DMIN 2006: 17-23 | |
| c19 | Chamila Walgampaya, Mehmed M. Kantardzic: Selection of Distributed Sensors for Multiple Time Series Prediction. IJCNN 2006: 3152-3158 | |
| c18 | Ruck Thawonmas, Masayoshi Kurashige, Keita Iizuka, Mehmed M. Kantardzic: Clustering of Online Game Users Based on Their Trails Using Self-organizing Map. ICEC 2006: 366-369 | |
| c17 | Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Yuriy Lozitskiy: Preview of recommended routes in large-scale virtual environments. VRCIA 2006: 35-42 | |
| 2005 | ||
| j5 | Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa: A Scalable Pricing Model for Bandwidth Allocation. Electronic Commerce Research 5(2): 203-227 (2005) | |
| c16 | Li Ge, Mehmed M. Kantardzic, Darren King: CCFDP: Collaborative Click Fraud Detection and Prevention System. CAINE 2005: 366-371 | |
| c15 | Pedram Sadeghian, Mehmed M. Kantardzic, Oleksandr Lozitskiy, Walaa Sheta: Route Recommendations: Navigation Assistance in Complex Virtual Environments. Computers and Their Applications 2005: 220-225 | |
| c14 | Antonio Badia, Mehmed M. Kantardzic: Link Analysis Tools for Intelligence and Counterterrorism. ISI 2005: 49-59 | |
| 2004 | ||
| c13 | Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar: A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks. Industrial Conference on Data Mining 2004: 134-143 | |
| c12 | Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar: Mobile data mining for radio resource management in wireless mobile networks. ICMLA 2004: 85-92 | |
| c11 | Anup Kumar, Mehmed M. Kantardzic, Padmanabhan Ramaswamy, Pedram Sadeghian: An extensible service oriented distributed data mining framework. ICMLA 2004: 256-263 | |
| c10 | Mehmed M. Kantardzic, Pedram Sadeghian, Chun Shen: The time diversification monitoring of a stock portfolio: an approach based on the fractal dimension. SAC 2004: 637-641 | |
| 2003 | ||
| c9 | Mehmed M. Kantardzic, Antonio Badia: Efficient Implementation of Strong Negative Association Rules. ICMLA 2003: 152-158 | |
| c8 | Mehmed M. Kantardzic, Anup Kumar: Toward Autonomic Distributed Data Mining with Intelligent Web Services. IKE 2003: 544-552 | |
| 2002 | ||
| c7 | 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. ISCA Conference on Intelligent Systems 2002: 71-76 | |
| c6 | Adel Said Elmaghraby, Anup Kumar, Mehmed M. Kantardzic, Mostafa Gamal Mostafa: Bandwidth allocation in a dynamic environment using a variable pricing policy. ISCC 2002: 589-594 | |
| 2001 | ||
| j4 | Mehmed M. Kantardzic, Anna Goldenberg, Troy E. Howe, Peter Faguy: Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy. Informatica (Slovenia) 25(1) (2001) | |
| j3 | Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic: Artificial Neural Networks (ANN) Approach in Diagnostics of Polycythemia Vera. I. J. Comput. Appl. 8(2) (2001) | |
| c5 | Mehmed M. Kantardzic, Resad P. Pasic, Claire Templeman, Ronald Levine: Data Mining Approach in a Selection of Laparoscopic Techniques. ISCA Conference on Intelligent Systems 2001: 1-4 | |
| 2000 | ||
| c4 | Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic: Artificial Neural Networks Approach in Diagnostics of Polycythemia Vera. ISCA Conference on Intelligent Systems 2000: 13-18 | |
| c3 | Mehmed M. Kantardzic, Hazem M. Hamdan, Benjamin Djulbegovic, Adel Said Elmaghraby: New diagnostic criteria for polycythemia rubra vera: Artificial neural network approach. Computers and Their Applications 2000: 408-411 | |
| 1999 | ||
| j2 | Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby: Visualization of neural-network gaps based on error analysis. IEEE Transactions on Neural Networks 10(2): 419-426 (1999) | |
| 1997 | ||
| j1 | Mehmed M. Kantardzic, Adel Said Elmaghraby: Logic-Oriented Model Of Artificial Neural Networks. Inf. Sci. 101(1-2): 85-107 (1997) | |
| 1991 | ||
| c2 | Mehmed M. Kantardzic, V. Okanovic, S. Rizvic, A. Filipovic, H. Glavic: Temporal and Spatial Data and Default Assumptions in Dipsy-E Systems. AI*IA 1991: 410-414 | |
| 1990 | ||
| c1 | Mehmed M. Kantardzic, M. Jeftovic, H. Glavic, A. Filipovic, D. Gajic, N. Milicic: A Comprehensive Environment for Computer Aid in Technical Security System Design. DEXA 1990: 417-420 | |
Colors in the list of coauthors
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