CFP: 16th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2017)

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Cancun, Mexico

Dec 18 – 21, 2017

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ICMLA 2017 aims to bring together researchers and practitioners to present their latest achievements and innovations in the area of machine learning (ML).

The conference provides a leading international forum for the dissemination of original research in ML, with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent need for machine learning to address these new challenges. The conference will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning, in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, games, are especially encouraged. The technical program will consist of, but is not limited to, the following topics of interest:

Statistical learning; Neural network learning; Learning through fuzzy logic; Learning through evolution; Reinforcement learning; Multi-strategy learning; Cooperative learning; Planning and learning; Multi-agent learning; Online and incremental learning; Scalability of learning algorithms; Inductive learning; Inductive logic programming; Bayesian networks; Support vector machines; Case-based reasoning; Grammatical inference; Knowledge acquisition and learning; Knowledge discovery in databases; Knowledge intensive learning; Knowledge representation and reasoning  ; Machine learning for information retrieval; Learning through mobile data mining; Machine learning for web navigation & mining; Text and multimedia mining; Feature extraction and classification; Distributed and parallel learning algorithms and applications; Computational learning theory; Theories and models for plausible reasoning; Cognitive modeling; Hybrid learning algorithms; Multi-lingual knowledge acquisition and representation

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Applications of machine learning in:

Medicine and health informatics; Bioinformatics and systems biology; Industrial and engineering applications; Security; Smart cities; Game playing and problem solving; Intelligent virtual environments; Economics; business and forecasting.

The conference will include a number of interesting keynote plenary talks, which will be announced on the conference web site as arrangements are finalized. Previous invited speakers included numerous fellows of IEEE, AMIA, AAAS, AAAI, etc. Prospective authors are invited to submit eight pages manuscript describing original work. The manuscript has to be written in English and in PDF format. Please visit the conference website for details: http://www.icmla-conference.org/icmla17/

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Key dates:

Paper Submission Deadline: Main Conference:   July 6, 2017

Special Sessions/Workshops/Challenges:        August 6, 2017

Notification of Acceptance:                         September 9, 2017

Camera-ready Papers:                                        October 1, 2017

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Organizing Committee:

General Chair:

Bill Chen (Wayne State University)

Conference Chair:

Bo Luo (The University of Kansas)

Program Co-Chairs:

Vasile Palade (Conventry University)

Feng Luo (Clemson University)

Workshop and Special Session Chair:

Yanjie Fu (Missouri University of Science and Technology)

Publicity Chair:

Roozbeh Razavi-Far (University of Windsor)

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