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MLPRA 2020 : The 9th International Workshop on Machine Learning, Pattern Recognition & Applications | |||||||||||||||
Link: http://conf.cisedu.info/rp/hpcs20/2-conference/workshops-hpcs2020/workshop14-mlpra | |||||||||||||||
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Call For Papers | |||||||||||||||
SCOPE AND OBJECTIVES
The International Workshop on Machine Learning, Pattern Recognition and Applications aims to bring together researchers in the fields of Machine Learning/Deep Learning and Pattern Recognition. The workshop will address recent advances in theory, methodologies and various related applications. It is meant to promote the advancement, discussion and presentation of new research and development in the areas of machine learning, artificial intelligence, pattern recognition and applications. Of special interest are those using high performance computing approaches and systems. The MLPRA Workshop topics of interest include (but are not limited to) the following: Deep Learning Statistical Learning Knowledge Acquisition and Learning Knowledge Discovery Cooperative Learning Support Vector Machines Instance Based Learning Grammatical Inference Graph Theoretic Methods for Machine Learning Computational Learning Theory Neural Network Learning Object, Character, Graphical & Text Recognition Multi-classifiers Neural Networks for Pattern Recognition Deep Learning, Cognitive Computing, Intelligent Agent, Chatbot and HPC Environments Cognitive Science Applications Object Detection, Recognition & Categorization Recognition, Analytics, and Visualization Fuzzy Methods for Image and Pattern Recognition Syntactical Methods Statistical Methods Structural Methods Logical and Combinatorial Methods Classification Feature Selection and Extraction Clustering, Descriptors, Segmentation, and Filtering Matching & Verification Computer Vision and Applications Image Processing, Understanding, Description and Recognition Imaging Technologies & Acquisition Swarm Intelligence and Machine Learning Evolutionary Multi-objective Optimization Threats to Machine Learning Applications Intelligent Systems & Machine Learning Applications Machine Learning & Pattern Recognition Applications INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above and other topics related to machine learning, pattern recognition, intelligence and applications. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. Submission can be for: - Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Short papers (up to 4 pages), please submit a PDF copy of your full manuscript, not to exceed 4 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. - Poster papers and Posters (please refer to http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-posters for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the Workshop's paper submission site at https://easychair.org/conferences/?conf=mlpra2020. Acknowledgement will be sent within 48 hours of submission. Conference Policies Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend (virtually) the HPCS 2020 conference to present the paper at the Symposium as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. For more information, please refer to the Authors Info and Registration Info pages. Proceedings Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2020 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. If you have any questions about paper submission or the Workshop, please contact the Workshop's organizers. IMPORTANT DATES Paper Submissions: ------------------------------------------- 25 September 2020 Acceptance Notification: -------------------------------------- 09 October 2020 Camera Ready Papers and Registration Due by: ----------- 16 October 2020 Conference Dates: --------------------------------------------- 10-14 December 2020 WORKSHOP ORGANIZERS Dr. Mario Martinez-Zarzuela Universidad de Valladolid, Valladolid, Spain Email: marmar@tel.uva.es Dr. Raul Cabido Valladolid Universidad Rey Juan Carlos, Madrid, Spain Email: raul.cabido@urjc.es |
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