ICMLA 2019 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 machine learning, 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. 

Contributions describing applications of machine learning (ML) techniques to real-world problems, interdisciplinary research involving machine learning, experimental and/or theoretical studies yielding new insights into the design of ML systems, and papers describing development of new analytical frameworks that advance practical machine learning methods 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 (evolutionary algorithms) 
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 
machine learning for bioinformatics and computational biology 
multi-lingual knowledge acquisition and representation 
grammatical inference 
knowledge acquisition and learning 
knowledge discovery in databases 
knowledge intensive learning 
knowledge representation and reasoning 
machine learning and information retrieval 
machine learning for web navigation and mining 
learning through mobile data mining 
text and multimedia mining through machine learning 
distributed and parallel learning algorithms and applications 
feature extraction and classification 
theories and models for plausible reasoning 
computational learning theory 
cognitive modeling 
hybrid learning algorithms 

Applications of machine learning in: 

medicine, health, bioinformatics and systems biology 
industrial and engineering applications 
security applications 
smart cities 
game playing and problem solving 
intelligent virtual environments 
economics, business and forecasting applications, etc. 

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. 


Paper Submission 

High quality papers in all Machine Learning areas are solicited. Papers that present new directions in ML will receive careful reviews. Authors are expected to ensure that their final manuscripts are original and are not appearing in other publications. Paper should be limited to 8 pages and submitted in IEEE format (double column). Papers will be reviewed by the Program Committee on the basis of technical quality, originality, significance and clarity. All submissions will be handled electronically. Accepted papers will be published in the conference proceedings, as a hardcopy. Authors of the accepted papers need to present their papers at the conference. A selected number of accepted papers will be invited for possible inclusion, in an expanded and revised form, in some journal special issues. 

ICMLA'19 Best Paper Award and ICMLA'19 Best Poster Award will be conferred at the conference to the authors of the best research paper and best poster presentation, respectively, based on the reviewers and Programme Committee recommendations.