Symposium on Machine Learning Algorithms and Applications (MLAA'15)

Important Dates

Full Paper Due: October 18, 2015 09:29:00 IST Notification of Acceptance: November 02, 2015 Final Version Due: November 20, 2015 Conference Registration Due: November 18, 2015

Symposium on Machine Learning Algorithms and Applications aims at bringing together researchers focusing on developing intelligent machine learning algorithms to automate the solutions for existing problems in real world scenario. The symposium serves as a platform for showcasing various novel applications and techniques in machine learning realm.

Authors should submit their papers online using EDAS. Unregistered authors should first create an account on EDAS to log on. Further guidelines for submission are posted at the Submisison page.

Topics of interest include but are not limited to

Machine Learning Algorithms

Analogical Learning Methods Bayesian Models and Methods Biologically Inspired Machine Learning Case-Based Reasoning and Associative Memory Classification and Clustering Cognitive Modeling Computational Learning Theory Conceptional Learning and Clustering Connectionist Networks Cooperative Machine Learning Deep Learning Distributed Machine Learning Embedded Machine Learning Ensemble Methods Explanation-Based Learning Feature Learning Formal Modeling for Machine Learning Techniques Grammatical Inference Graphical Models Hybrid Learning Algorithms Indefinite Proximity Learning

Inductive Learning Kernel machines Knowledge Representation and Reasoning Learning Decision and Regression Trees Learning through Fuzzy Logic Multi-Agent Learning Multi-Strategy Learning Neural Network Learning Online and Incremental Learning Organisational Learning and Evolutional Learning Reinforcement Learning Rough Sets Theory and Machine Learning Scalability of Learning Algorithms Secure Machine Learning Algorithms Societal Impacts of Machine Learning Statistical and Evolutionary Learning Support Vector Machines Theories and Models for Plausible Reasoning Time Series and Sequential Pattern Mining Vector Quantization and Self-Organizing Maps

Machine Learning Applications

Approximation and Identification Bioinformatics and Systems Biology Brain-Computer Interfaces Cognitive Radio Networks Communication Networks and Distributed Systems Content-Based Retrieval of Image and Video Data Analysis and Intelligent Optimization Data Mining and Visualization Document and Handwriting Analysis Economics, Business and Forecasting Applications Education Informatics Energy Applications Environmental Applications

Face and Gesture Recognition Feature Extraction and Dimension Reduction Game Playing and Problem Solving Health Informatics Human Computer Interaction Industrial and Engineering Applications Information Fusion Information Security Intelligent Virtual Environments Knowledge Extraction Natural Language Processing Network Analysis and Intrusion Detection Signal Processing and Modeling Social Networks Vision and Sensory Systems

TOP

All accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. At least one full paying author of each accepted paper must register for the Conference before the indicated deadline. All accepted papers MUST be presented at the conference by one of the authors, or, if none of the authors are able to attend, by a qualified surrogate.

Technical Program Committee

• Alexander Garcia Davalos, Universidad Autonoma de Occidente, Colombia
• Suman Sankar Bhunia, Jadavpur University, India
• Eric Chen, NTT Corporation, USA
• Yangcheng Huang, Huawei, Ireland
• Jian Lin, Georgia Institute of Technology, USA
• Udo Schilcher, University of Klagenfurt, Austria
• John Strassner, Huawei, USA
• Huasen Wu, University of California, Davis, USA
• Ning Xu, Ericsson Inc, USA
• Chau Yuen, Singapore University of Technology and Design, Singapore
• Philipp Svoboda, Vienna University of Technology, Austria
• Lien-Wu Chen, Feng Chia University, Taiwan
• Mario Marchese, DIST- University of Genoa, Italy
• Eric Addeo, DeVry University, USA
• Mohamad Forouzanfar, Harvard University, USA
• Vijay Kumar, Defence Research Developement Organisation (DRDO) Hyderabad, India
• Sebastian Basterrech, National Supercomputing Center, Czech Republic
• Omar Cortes, Instituto Federal de Educacao, Brazil
• Vivek Datla, Pacific Northwest National Laboratory, USA
• Ugo Fiore, University of Naples Federico II, Italy
• Akihiro Fujihara, Fukui University of Technology, Japan
• Yi Gai, Intel Labs, USA
• Kousalya Govardhanan, Anna University, India
• Savita Gupta, UIET, Panjab University Chandigarh, India
• Benoit Hilt, University of Haute Alsace, France
• Chun-Chieh Huang, Industrial Technology Research Institute, Taiwan
• Nhien-An Le-Khac, University College Dublin, Ireland
• Feiping Nie, University of Texas at Arlington, USA
• Mahesh Rao, Maharaja Institute of Technology, India
• Hailong Sun, Beihang University, P.R. China
• Anjan Talukdar, Guahati University, India
• Bahadir Aydin, Uniersity at Buffalo, SUNY, USA
• Pawan Bhandari, Intel, India
• W. Wilfred Godfrey, ABV-IIITM Gwalior, India
• Ratheesh kumar M, MES College of Engineering, India
• Marcelo Palma Salas, Campinas State University (UNICAMP), Brazil
• Pang-Chieh Wang, Industrial Technology Research Institute (ITRI), Taiwan
• Suchit Purohit, Gujarat University, India
• Sangeetha Rajesh, K. J. Somaiya Institute of Management Studies and Research, India
• Debarati Chakraborty, Indian Statistical Institute, Kolkata, India
• Pascal Lorenz, University of Haute Alsace, France
• Meng-Shiuan Pan, Tamkang University, Taiwan
• Bahi Tahar, Badji Mokhtar Annaba University, Algeria
• Prashant More, CDAC Mumbai (Formerly NCST), India