Conference Publications


2015

  1. Sarbast M. Rasheed, Daniel W. Stashuk, Mohamed S. Kamel, Classifier fusion interactive software toolbox for EMG signal decompositionr, CCECE 2015, pp. 806-811
  2. Ahmed Elbagoury, Rania Ibrahim, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray' "Exemplar-Based Topic Detection in Twitter Streams", ICWSM 2015, pp.610-613
  3. Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel, "Locally Adaptive Density Ratio for Detecting Novelty in Twitter Streams". WWW (Companion Volume) 2015, pp. 799-804.
  4. Sepideh Seifzadeh, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray,, "Short-Text Clustering using Statistical Semantics". WWW (Companion Volume) 2015, pp. 805-810.

2014

  1. Keyvan Golestan, Fakhri Karray, Mohamed S. Kamel, , Fuzzy multi entity Bayesian networks: A model for imprecise knowledge representation and reasoning in high-level information fusion. FUZZ-IEEE 2014: 1678-1685.
  2. Rodrigo Araujo, Mohamed S. Kamel, Audio-Visual Emotion Analysis Using Semi-Supervised Temporal Clustering with Constraint Propagation. ICIAR 2014: Lecture Notes in Computer Science Volume 8815, Springer, pp. 3-11.
  3. Amira Ragab, Céne Craye, Mohamed S. Kamel, Fakhri Karray, A Visual-Based Driver Distraction Recognition and Detection Using Random Forest. ICIAR 2014: Lecture Notes in Computer Science Volume 8814, Springer, pp.256-265.
  4. F. Sattar, Auréo J. C. Campilho, Mohamed S. Kamel, Optic Disk Localization for Gray-Scale Retinal Images Based on Patch Filtering. ICIAR 2014: Lecture Notes in Computer Science Volume 8815, Springer, pp. 277-284.
  5. Rodrigo Araujo, Mohamed S. Kamel, A semi-supervised temporal clustering method for facial emotion analysis. ICME Workshops 2014: PP. 1-6
  6. Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray, Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce. SIAM SDM 2014: pp. 425-433.
  7. Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel, Discriminative Density-ratio Estimation. SIAM SDM 2014: pp. 830-838.

2013

  1. Ahmed Farahat, Ahmed Elgohary, Ali Ghodsi, and Mohamed Kamel, "Distributed Column Subset Selection on MapReduce", 2013 IEEE International Conference on Data Mining (ICDM'13), pp. 171-180, ( acceptance rate 11%).
  2. Yun-Qian Miao, Ahmed Farahat, and Mohamed Kamel, "Auto-tuning Kernel Mean Matching", 2013 ICDM, Workshop on Incremental Clustering, Concept Drift and Novelty Detection (IclaNov), pp. 560-567.
  3. Talieh S. Tabatabaei, Fakhri Karray, and Mohamed S. Kamel, "Adaptive Budget for Online Learning", 2013 ICDM, Workshop on Incremental Clustering, Concept Drift and Novelty Detection (IclaNov), pp. 577-583.
  4. Yun-Qian Miao, Ahmed Farahat, and Mohamed Kamel, "Class-wise Density-ratios for Covariate Shift", NIPS 2013 Workshop on Transfer Learning and Multi-Task, Best Abstract Award.
  5. K. Golestan, F. Karray, M. S. Kamel, "High Level Information Fusion Through a Fuzzy Extension to Multi-Entity Bayesian Networks in Vehicular Ad-hoc Networks", the 16th International Conference on Information FUSION (ICIF2013), pp. 1180-1187, 2013, best paper runner up award.
  6. Mehrdad Gangeh, Ali Sadeghi-Naini, Mohamed Kamel, Gregory Czarnota, "Assessment of Cancer Therapy Effects Using Texton-Based Characterization of Quantitative Ultrasound Parametric Images", 2013 International Symposium on Biomedical Imaging: From Nano to Macro, April, 2013, pp. 1372-1375.
  7. Aya Sayedelahl, Rodrigo Araujo, Mohamed S. Kamel, "Audio-visual feature-Decision Level Fusion for Spontaneous Emotion Estimation in Speech Conversations", IEEE International Workshop on Affective Analysis in Multimedia in ICME 2013, pp.1-6.
  8. Safaa Bedawi, Mohamed Moustafa, Mohame S. Kamel, "URBAN LAND-COVER CLASSIFICATION FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGERY", International Geoscience and Remote Sensing Symposium, IGRASS2013, 2013, pp. 3144-3147.
  9. Michael Diu, Mehrdad J. Gangeh, Mohamed S. Kamel:,"Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy". ICIAR 2013:Lecture Notes in Computer Science Volume 7950, Springer, pp 336-345, 2013.
  10. Abdullah M. Rashwan, Mohamed S. Kamel, Fakhri Karray, "An Arabic Optical Character Recognition System Using Restricted Boltzmann Machines" , 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, in J. Ruiz-Shulcloper and G. Sanniti di Baja (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, Lecture Notes in Computer Science Volume 8259, 2013, pp 108-115.
  11. Abdullah M. Rashwan, Mohamed S. Kamel, Fakhri Karray, "Car Driver Fatigue Monitoring Using Hidden Markov Models and Bayesian Networks", 2013 International Conference on Connected Vehicles & Expo (ICCVE), 2013, pp.247-251.

2012

  1. ElAbd, Mohammed and Kamel, Mohamed, "Particle Swarm Optimization with Adaptive Bounds", Proceedings of 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, pp.1-6, 2012.
  2. Parsaei, Hossein, Gangeh , Mehrdad J., Stashuk, Daniel W., and Kamel, Mohamed S., "Augmenting the Decomposition of EMG Signals Using Supervised Feature Extraction Techniques", 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), pp. 2615-2618, 2012.
  3. Tabatabaei, Talieh, Karray, F. and Kamel, M., "Early Internet Traffic Recognition based on Machine Learning Methods", 25th Canadian Conference on Electrical and Computer Engineering, Montreal, Canada, pp. 1-5, 2012.
  4. Tabatabaei, Talieh, Adel, Mostafa, Karray, F. and Kamel, M., "Machine Learning-Based Classification of Encrypted Internet Traffic", International Conference on Machine Learning and Data Mining (MLDMA2012), Berlin, Lecture Notes in Computer science, LNCS, 7376, Springer, pp. 578-592, 2012.
  5. Roy, Kaushik and Kamel, Mohamed S., "Multibiometric System Using Level Set Method and Particle Swarm Optimization", International Conference on Image Analysis and Recognition,( ICIAR 2012), Portugal, Lecture Notes in Computer science, 7325 LNCS, Springer, pp.20-29, 2012.
  6. K. Golestan, A. Jundi, L. Nassar, F. Sattar, F. Karray, M. Kamel, and S. Boumaiza, "Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Information Gathering and Data Fusion", International Conference on Autonomous Intelligent Systems (AIS 2012), Portugal, Lecture Notes in Computer Science, LNAI 7326, Springer, pp. 34-41, 2012.
  7. L. Nassar, A. Jundi, K. Golestan, F. Sattar, F. Karray, M. Kamel, and S. Boumaiza, "Vehicular Ad-hoc Networks(VANETs): Capabilities, Challenges in Context-aware Processing and Communication Gateway", International Conference on Autonomous Intelligent Systems (AIS 2012), Portugal, Lecture Notes in Computer Science, LNAI 7326, Springer , pp. 42-49, 2012.
  8. Hasan, M., Karray, F., and Kamel, M., "Automatic Document Topic Identification Using Wikipedia Hierarchical Ontology", the 11th International Conference on Information Sciences, Signal Processing and their Applications, Montreal, Canada, pp. 237-242, 2012.
  9. Yousri, N, Kamel, M.S., Ismail, M. A., "A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data", the 19th International Conference on Neural Information Processing (ICONIP2012),(3), pp. 577-584, 2012.
  10. Roy, K., and Kamel, M.S., "Facial expression recognition using game theory," 5th IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2012), Trento, Italy, September 17-19, 2012, Springer Lecture Note Series in Artificial Intelligence (LNAI), PP. 139-150, 2012.
  11. Roy, K., and Kamel, M.S., "Facial expression recognition using game theory and particle swarm optimization," 6th International Conference on Computer Vision and Graphics (ICCVG'12), Poland, September 24-26, 2012, Springer Lecture Note Series in Computer Science (LNCS), pp.581-589, 2012..
  12. Roy, K., and Kamel, M.S., "Multibiometric system using distance regularized level set method and particle swarm optimization," 6th International Conference on Computer Vision and Graphics (ICCVG'12), Poland, September 24-26, 2012, Springer Lecture Note Series in Computer Science (LNCS), pp. 590-599, 2012.
  13. Araujo, R., Miao, Y., Kamel, M.S., Cheriet, M., "A Fast and Robust Feature Set for Cross Individual Facial Expression Recognition", ICCVG'12, pp. 272-279, 2012.
  14. Gangeh, M.J., Ghodsi, A., Kamel, M.S., "Supervised Texture Classification Using a Novel Compression-Based Similarity Measure", ICCVG'12, pp. 379-386, 2012.
  15. Hasan, M., Karray, F., Kamel, M., "An Improved K-Means Document Clustering Using Wikipedia Hierarchical Ontology", International Conference on Pattern Recognition, 2012.
  16. Miao, Y., Araujo, R., Kamel, M., "Cross-domain Facial Expression Recognition Using Supervised Kernel Mean Matching", 11th International Conference on Machine Learning and Applications ICMLA 2012, Special Session IV: Machine Learning with Multimedia Data, pp.326-332, 2012.
  17. K. Golestan, S. Seifzadeh, M. Kamel, F. Karray, and F. Sattar, "Vehicle Localization in VANets Using Data Fusion and V2V Communication'', ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet'12) , pp. 123-130, Oct. 2012.
  18. L. Nassar, F. Karray, M. Kamel, and F. Sattar, "VANET IR-CAS: Utilizing IR Techniques in Developing Context Aware System for VANET'', ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet'12), pp.97-104, Oct. 2012.

2011

  1. Farahat, Ahmed K., Ghodsi, Ali., Kamel, Mohamed S., "An Efficient Greedy Method for Unsupervised Feature Selection", Proceedings of the Eleventh IEEE International Conference on Data Mining, pp. 161-170, 2011 (acceptance rate 18%).
  2. Farahat, K.F., Ghodsi, A., and Kamel, M.S., "A Novel Greedy Algorithm for Nystrom Approximation", In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, Geoffrey Gordon, David Dunson, and Miroslav Dundik, Eds. JMLR W&CP, Vol. 15, 2011 (Acceptance rate: 36.4%)
  3. Sayedelahl, A., Fewzee, P., Kamel, M.S., Karray, F., "Audio-Based Emotion Recognition from Natural Conversations Based on Co-Occurrence Matrix and Frequency Domain Energy Distribution Features", First International Audio/Visual Emotion Challenge and Workshop (AVEC 2011) held at ACII 2011, Lecture Notes in Computer science, 6975 LNCS, Part 2, pp 407-414, Springer, 2011.
  4. Bedawi, S., and Kamel, M.S., Urban Land-Cover Classification based on Swarm Intelligence from High Resolution Remote Sensing Imagery, The International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE), pp. 5617-5620, 2011.
  5. Bedawi, S., and Kamel, M.S., Multiple Classifier System for Urban Areas Extraction from High Resolution Remote Sensing Imagery, Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), 2011.
  6. Gangeh, M.J., Ghodsi, A., and Kamel, M.S., Dictionary Learning in Texture Classification, Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), LNCS 6753, pp. 335-343, 2011
  7. Miao, Y., Khamis, A., Karray, F., and Kamel. M.S., Global Optimal Path Planning for Mobile Robots Based on Hybrid Approach with High Diversity and Memorization, International Conference on Autonomous and Intelligent Systems (AIS), LNAI 6752, pp. 1-10, 2011
  8. Miao, Y., Fieguth, P., and Kamel. M.S., Maneuvering Head Motion Tracking by Coarse-to-Fine Particle Filter, Proceedings of the International Conference on Image Analysis and Recognition (ICIAR), Part 1, LNCS 6753, pp. 385-394, 2011.
  9. Gangeh, M., Sorensen, L., Shaker, S.B., Kamel, M., and de Bruijne, M., Multiple Classifier Systems in Texton-Based Approach for Classification of CT Images of Lung, Medical Computer Vision:  Recognition Techniques and Applications in Medical Imaging, Beijing, China (MCV 2010), LNCS 6533, pp.153-163, 2011. 

2010

  1. Farahat, A., Ghodsi,  A., Kamel, M.S., Greedy Nystrom Approximation,  NIPS'10 Workshop on Low-rank Methods for Large-scale Machine Learning, December 2010.
  2. Araujo, R., Daouadji, A., Kamel, M., and Cheriet, M., A Cluster-based Multiagent Framework for Resource Discovery in Virtualized Environments, Neuvie edition du colloque francophone sur la Gestion de Rseaux Et de Services (Ninth edition of the Francophone Conference on Management of Networks and Services), 2010.   
  3. Hassan, M., Karray, F., and Kamel, M., Ahmadi, A.,"An Integral Approach for Geno-Simulated Annealing", Tenth International Conference on Hybrid Intelligent Systems, pp. 165-170, (HIS 2010).  
  4. Gad, W., Kamel, M., Incremental Clustering Algorithm Based on Phrase-Semantic Similarity Histogram, International IEEE Conference on Machine Learning and Cybernetics, (ICMLC 2010), pp. 2088-2093, 2010.
  5. Yun-Qian M., Khamis, A., Kamel, M., "Applying Anti-Flocking Model in Mobile Surveillance Systems", Special Session on Distributed Surveillance Systems, International Conference on Autonomous and Intelligent Systems, (AIS 2010).
  6. Farahat, A., Kamel, M.S., "Enhancing Document Clustering Using Hybrid Models for Semantic Similarity", Text Mining Workshop, Tenth SIAM International Conference on Data Mining, (SDM10), 2010. 
  7. Gangeh, M., Kamel, M.S., and Duin, R.P.W., Random Subspace Method in Text Categorization, 20th International Conference on Pattern Recognition, ICPR, pp. 2049-2052, 2010.
  8. Gangeh, M., Sorensen, L., Shaker, S.B., Kamel, M.S., de Bruijne, M., and Loog, M., "A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images", Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010, LNCS 6363, pp. 595-602, 2010.
  9. Bedawi, S., Kamel, M., Segmentation of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm, Proceedings of the International Conference on Image Analysis and Recognition (ICIAR) 2010, Lecture Notes in Computer Science, LNCS 6111, pp. 81-88, 2010.  
  10. Gangeh, M., Shabani, A.H., and Kamel, M.S, Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems, ICIAR 2010, LNCS 6111, pp. 147-156, 2010.
  11. Hassan, M., Karray, F. and Kamel, M., "Improving Document Clustering Using a Hierarchical Ontology Extracted from Wikipedia", Proceedings of Text Mining Workshop, SIAM SDM, 2010. 

2009

  1. Ahmed K. Farahat and Mohamed S. Kamel, "Document Clustering using Semantic Kernals Based on Term-Term Correlations", 2nd International Workshop on Semantic Aspects in Data Mining, ICDM, pp. 459-464, 2009, Best Paper Award.
  2. Shehata, S., Karray, F. and Kamel, M., "A Concept-based Graph Representation for Enhancing Text Categorization", SIAM Text Mining workshop 2009.
  3. Gad, W., Kamel, M., "New Semantic Similarity Based Model for Text Clustering using Extended Gloss Overlaps", International Conference on Machine Learning and Data Mining, Leipzig, Germany, (MLDM), pp. 663-677, 2009.
  4. Gad, W.K., Kamel, M.S., "PH-SSBM: Phrase Semantic Similarity based Model for Document Clustering", The 2nd International Symposium on Knowledge Acquisition and Modeling (KAM 2009), pp. 197-200, August, 2009.
  5. Gad, W., Kamel, M.S., "Enhancing text clustering Performance using semantic similarity", 11th International Conference on Enterprise Information Systems, Milan, Italy, (ICEIS), pp. 325-335, 2009.
  6. Gad, W., Kamel, M.S., "Semantic Relatedness and Similarity Measures for Document Clustering", Forth International Conference on Intelligent Computing and Information Systems (ICICIS), Cairo, Egypt, 2009.
  7. Yu, Y., Xia, Y., and Kamel, M., "Cooperative Recurrent Neural Network for Multiclass Support Vector Machine Learning", 6th International Symposium on Neural Networks, Springer, pp. 276-286, May 2009.
  8. Miao, Y., Khamis, A. and Kamel, M., "Coordinated Motion Control of Mobile Sensors in Surveillance Systems", 3rd International Conference on Signals, Circuits and Systems, pp. 1-6, (SCS'09).
  9. Rae, A., Khamis, A., Basir, O., Kamel, M., "Particle Filtering for Bearing-Only audio-Visual Speaker Detection and Tracking", 3rd International Conference on Signals, Circuits and Systems, pp. 1-6, (SCS'09).
  10. Bedawi, S. and Kamel, M.S., "A Comparative Study of Clustering Methods for Urban Areas Segmentation from High Resolution Remote Sensing Image", The 9th International Conference on Intelligent Systems Design and Applications (ISDA), pp. 169-174, Italy, 2009.
  11. Q. Xu, S.S. Mohamed , M.M.A. Salama and M. Kamel and K. Rizkalla, "Mass Spectrometry-Based Proteomic Pattern Analysis for Prostate Cancer Detection Using Neural Networks with Statistical Significance Test-Based Feature Selection", 2009 IEEE Toronto International Conference - Science and Technology for Humanity, pp. 837-842, September 2009.
  12. El-Abd, M, Hassan, H and Kamel, M, "Discrete and Continuous Particle Swarm Optimization for FPGA" Congress on Evolutionary Computing, pp. 706-711, 2009.
  13. Mohammed EL-Abd and Mohamed Kamel, "Black-Box Optimization Benchmarking for Noiseless Function Testbed using PSO_Bounds", Black Box Optimization Benchmarking (BBOB) Workshop, Genetic and Evolutionary Computation Conference GECCO09, pp. 2275-2280, 2009.
  14. Mohammed EL-Abd and Mohamed Kamel, "Black-Box Optimization Benchmarking for Noiseless Function Testbed using an EDA and PSO Hybrid", Black Box Optimization Benchmarking (BBOB) Workshop, Genetic and Evolutionary Computation Conference GECCO09, pp. 2263-2268, 2009.
  15. Mohammed EL-Abd and Mohamed Kamel, Black-Box Optimization Benchmarking for Noiseless Function Testbed using Particle Swarm Optimization, Black Box Optimization Benchmarking (BBOB) Workshop, Genetic and Evolutionary Computation Conference GECCO09, pp. 2269-2274, 2009.

2008

  1. M. Makrehchi, M. S. Kamel, "Automatic Extraction of Domain-Specific Stopwords from Labeled Documents," 2008 European Conference on Information Retrieval (ECIR2008), Glasgow, Scotland, 30th March--3rd April 2008.
  2. Shehata, S., Karray, F. and Kamel, M., "Enhancing Text Categorization Using Sentence Semantics", In Proceedings of the Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008), Springer, 2008 (acceptance rate 13%).
  3. Ahmadi, A., Karray, F., Kamel, M., "Particle Swarm Clustering Ensemble", GECCO 2008 Conference,pp. 159-160, 2008.
  4. Ahmadi, A., Karray, F., Kamel, M., "Model Order Selection for Multiple Cooperative Swarms Clustering Using Stability Analysis", 2008 IEEE Congress on Evolutionary Computation (IEEE CEC 2008) within 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), pp. 3386-3395, 2008.
  5. M. Shokri, H.R. Tizhoosh, M. Kamel, "Tradeoff Between Exploration and Exploitation of Q(lambda) with Non-markovian Update in Dynamic Environments", 2008 International Joint Conference on Neural Networks (IJCNN2008) as part of 2008 IEEE World Congress on Computational Intelligence (WCCI2008), pp. 2915-2921, 2008.
  6. R. Kashef and Mohamed Kamel, "Efficient Bisecting k-medoids and Its Application in Gene Expression Analysis", Proceedings of the International Conference on Image Analysis and Recognition (ICIAR) 2008, Lecture Notes in Computer Science, LNCS 5112, pp. 423-434, Springer 2008..
  7. R. Kashef and Mohamed Kamel, " Distributed Peer-to-Peer Cooperative Partitional-Divisive Clustering for Gene Expression Datasets", 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp.143,150, 2008.
  8. R. Kashef and Mohamed Kamel, "Towards Better Outliers Detection for Gene Expression Datasets", Biocomputation, Bioinformatics and Biomedical Technologies, BIOTECHNO 08, pp. 149-154, 2008.
  9. Noha A. Yousri, Mohamed S. Kamel, and Mohamed A. Ismail, "A Novel Validity Measure for Clusters of Arbitrary Shapes and Densities", International Conference on Pattern Recognition, 2008.
  10. Noha A. Yousri, Mohamed S. Kamel, and Mohamed A. Ismail, "Finding Arbitrary Shaped Clusters for Character Recognition", Proceedings of the International Conference on Image Analysis and Recognition (ICIAR) 2008, Lecture Notes in Computer Science, LNCS 5112, pp. 597-608, Springer 2008.
  11. Noha A. Yousri, Mohamed S. Kamel, and Mohamed A. Ismail, "A Fuzzy Approach for Analyzing Outliers in Gene Expression Data", Proc. Biomedical Engineering and Informatics, BMEI 2008, pp. 207-213, 2008.
  12. Rasheed, Sarbast, Stashuk, Daniel and Kamel, Mohamed, "Controlling Classifier Ensemble Members for Motor Unit Potential Classification Through Diversity Measure", the XVII Congress of the International Society of Electrophysiology and Kinesiology (ISEK), Niagara Falls, Ontario, Canada on June 18-21, 2008.
  13. Hussin, M.F.; El Rube, I.; Kamel, M.S., "Enhanced document clustering using fusion of multiscale wavelet decomposition", International Conference on Computer Systems and Applications, 2008. AICCSA 2008. IEEE/ACS, 2008, pp.870-874.

2007

  1. Shehata, S., Karray, F. and Kamel, M., "Enhancing Search Engine Quality Using Concept-based Text Retrieval", regular paper, IEEE/WIC/ACM WI, pp. 26-32, 2007 (acceptance rate 17%).
  2. Makrehchi, M. and Kamel, M., "Automatic Taxonomy Extraction Using Google and Term Dependency", short paper, IEEE/WIC/ACM WI, pp. 321-325, 2007 (acceptance rate 26%).
  3. Makrehchi, M. and Kamel, M., "A Text Classification Framework with a Local Feature Ranking for Learning Social Networks", IEEE International Conference on Data Mining, ICDM2007, pp. 589-594, 2008 (acceptance rate 19%).
  4. Makrehchi, M. and Kamel, M. S., "Learning Term Dependency Links Using Information Theoretic Inclusion Measure", 2007 ICDM Workshop on Mining Graphs and Complex Structures (MGCS2007), pp. 423-428, 2007.
  5. Shehata, S., Karray, F. and Kamel, M., "A concept-based model for enhancing text categorization", 13th, ACM KDD, August, 2007, pp. 629-637.
  6. Hammouda, K. and Kamel, M., "HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering", 2007 SIAM International Conference on Data Mining (SDM07), Minneapolis, MN, April 2007.
  7. Shokri, H.R. Tizhoosh, M.S. Kamel, "Opposition-Based Q(lambda) with Non-Markovian Update", IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, Hawaii, USA, April 2007, pp. 288-295.
  8. El Ayadi, Moataz M. H., Kamel, Mohamed S. and Karray, Fakhri, "Speech Emotion Recognition using Gaussian Mixture Vector Autoregressive Models", ICASSP 2007, pp IV 957-960.
  9. Ahmadi, A., Karray, F., Kamel, M., "Multiple cooperating swarms for data clustering", IEEE Swarm Intelligence Symposium, 2007, pp. 206-212.
  10. Ahmadi, A., Karray, F., Kamel, M., "Hybrid learning scheme for modular-based phoneme recognizer", International Symposium on Signal Processing and its Applications, pp. 1-4, 2007.
  11. El-Abd, M. and Kamel, M., "Particle Swarm Optimization with Varying Bounds", IEEE Congress on Evolutionary Computing CEC 2007, pp. 4757-4761, 2007.
  12. Yousri, N., Ismail, M.A. and Kamel, M. S., "Discovering Connected Patterns in Gene Expression Arrays", IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, 2007. CIBCB '07, pp. 113-120.
  13. Jiang, Ju. And Kamel, M., "Pitch Control of an Aircraft with Aggregated Reinforcement Learning Algorithms", International Joint Conference on Neural Networks, IJCNN 2007, pp. 41-46, 2007.
  14. Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismail: Pattern Cores And Connectedness in Cancer Gene Expression. BIBE 2007: 100-107.
  15. Yousri, N., Kamel, M. S. and Ismail, M.A., "Using Fuzzy Memberships to Core Patterns to Interpret Connectedness in Gene Expression Clusters", DMB 2007 workshop in conjunction with IEEE WI-IAT-BIBM 2007, pp.115-122, 2007.
  16. Yousri, N., Ismail, M.A. and Kamel, M. S., "Discovering Connected Patterns in Gene Expression Arrays", 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB, pp. 113-120, 2007.
  17. R. Kashef, Mohamed S. Kamel: Cooperative Partitional-Divisive Clustering and Its Application in Gene Expression Analysis. BIBE 2007: 116-122.
  18. Jiang, Ju. and Kamel, M., "Aggregation of Tiling-based Reinforcement Learning Algorithms", IEEE SMC 2007, pp. 1612-1617, 2007.
  19. Kashef, R. and Kamel, M., "Hard-Fuzzy Clustering: A Cooperative Approach", IEEE SMC 2007, pp. 425-430, 2007.
  20. Chen, Lei, and Kamel, M., "A New Design of Multiple Classifier System and its Application to the Classification of Time Series Data", IEEE SMC 2007, pp. 385-391, 2007.
  21. Makrehchi, M. and Kamel, M., "Combining Feature Ranking for Text Classification", IEEE SMC 2007, pp. 510-515, 2007.
  22. Makrehchi, M. and Kamel, M., "Learning Social Networks Using Multiple Resampling Method", IEEE SMC 2007, pp. 406-411, 2007.
  23. Yousri, N., Ismail, M.A. and Kamel, M. S., "Adaptive Similarity Search in Metric Trees", IEEE SMC 2007, pp. 419-424, 2007.
  24. Yousri, N., Ismail, M.A. and Kamel, M. S., "Fuzzy Outlier Analysis: A Combined Clustering - Outlier Detection Approach", IEEE SMC 2007, pp. 412-418, 2007.

2006

  1. Masoud Makrehchi and Mohamed Kamel, "Learning Social Networks from Web Documents Using Support Vector Classifiers", The 2006 IEEE/WIC/ACM International Conference on Web Intelligence, 18-22 Dec. 2006, Hong Kong.
  2. Shehata, S., Karray, F., Kamel, M. "Enhancing Text Clustering Using Concept-Based Mining Model", IEEE International Conference on Data Mining (ICDM), Hong Kong, China, December 18-22, 2006.
  3. Shehata, S., Karray, F., Kamel, M. "Enhancing Text Retrieval Performance Using Conceptual Ontological Graph" Workshop on Ontology Mining and Knowledge Discovery from Semi-Structured Documents (MSD 2006), IEEE International Conference on Data Mining (ICDM), Hong Kong, China, December 18-22, 2006.
  4. Sun, Y., Kamel, M., Wang, Y., "Boosting for Learning Multiple Classes with Imbalanced Class Distribution", IEEE Conference on Data Mining (ICDM), Hong Kong, China, December 18-22, 2006.
  5. Hammouda, K. and Kamel, M., "Collaborative Document Clustering", SIAM Conference on Data Mining, SDM 06, 2006.
  6. Yang, Y., Kamel, M. and Jin, F., ART-based Clustering Aggregation, IEEE Granular Computing, 2006. 
  7. Kong, A., Zhang, D., and Kamel, M., An anatomy of IrisCode, ICPR 2006.
  8. Cheung, K. H., Kong, A., Zhang, D., Kamel, M. and You, J., Does EigenPalm Work? A System and Evaluation Perspective, ICPR 2006.
  9. ElAbd, M. and Kamel, M. S., A Hierarchal Cooperative Particle Swarm Optimizer, IEEE Swarm Intelligence Symposium, pp. 43-47, 2006.
  10. ElAbd, M. and Kamel, M. S., On The Convergence of Information Exchange Methods in Multiple Cooperating Swarms, 2006  IEEE Congress on Evolutionary Computation, pp. 1052-1056, 2006.
  11. Khamis, Alaa M.; Kamel, Mohamed S.; Salichs, Miguel A.;"Cooperation: Concepts and General Typology", IEEE International Conference on Systems, Man and Cybernetics, Volume 2, 8-11 Oct. 2006 Page(s):1499 - 1505.
  12. Khamis, Alaa M., Abdel-Rahman, Ayman, Kamel, Mohamed S., A Distributed Architecture for Mobile Multirobot Remote Interaction, 2006 IEEE Workshop on Distributed Intelligent Systems-Collective Intelligence and Its Applications, pp. 61-66, June 2006, IEEE CS Society.
  13. Xia Youshen and Kamel, Mohamed S., A Generalized  Least Absolute Deviation Method For  Parameter Estimation of Autoregressive Signals, IJCNN, pp. 107-118, 2006.
  14. Xia Youshen and Kamel, Mohamed S., A Novel Cooperative Neural Learning  Algorithm  For  Data Fusion IJCNN, pp. 4021-4028 2006.
  15. Maryam Shokri, Hamid R. Tizhoosh and Mohamed Kamel, Opposition-Based Q(lambda) Algorithm, IJCNN, pp. 254-261, 2006.
  16. Jiang, Ju and Kamel, Mohamed, Aggregation of Reinforcement Learning Algorithms, IJCNN, pp. 68-72, 2006.

  17. Khoury, Richard, Karray, Fakhreddine and Kamel, Mohamed, A Methodology for Extracting and Representing Actions in   Texts, Fuzz- IEEE 2006.
  18. Cheung, K.H., Kong, A., Zhang, D., Kamel, M., and You, J., "Revealing the secret of FaceHashing" International Conference on Biometrics, Hong Kong, 5-7, Jan 2006.
  19. Khaled Shaban, Otman Basir, Mohamed Kamel, "Document Mining Based on Semantic Understanding of Text", 11th Iberoamerican Congress on Pattern Recognition, November 14-17, Cancun, Mexico. J.F. Martinez-Trinidad et al. (Eds): CIARP 2006. LNCS 4225, pp. 834-843, 2006. Springer-Verlag Berlin Heidelberg 2006.
  20. Ahmadi, A., Karray, F., Kamel, M, "Modular-based Classifier for Phoneme Recognition", IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), August 2006, Vancouver, Canada.
  21. Kashef and M. Kamel, "Distributed Cooperative Hard-Fuzzy Document Clustering," in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.
  22. R. Khoury, F. Karray, and M. Kamel, "Extracting and Representing Actions in Text Using Possibility Theory", in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.
  23. Khaled Shaban, Otman Basir, Mohamed Kamel, "Learning Objects Clustering based on Semantic Understanding of Text", in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.
  24. H. Ayad and M. Kamel. "Clustering Learning Objects Collections Using Cluster Ensembles," in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.
  25. Maryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel. "Reinforcement Learning for Personalizing Searched Images," in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.
  26. Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong. "Classification of SchoolNet Data," in Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network (I2LOR-06), Montreal, Canada, 8-10 November 2006.

2000-2005

1984-1999


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