Announcement of a New Journal, Journal of Machine Learning Theory, Applications and Practice (JMLTAP) and Call for Papers

River Publishers has launched a new open access journal, Journal of Machine Learning Theory, Applications and Practice (JMLTAP). The journal is devoted to providing an open access forum for machine learning research, its applications and practice. It interprets machine learning in its broadest sense covering research in areas such as artificial intelligence, computational intelligence, computer vision, deep learning, multimedia indexing, speech and natural language processing and their applications in all areas of society. The journal places a special emphasis on machine learning practice by soliciting work describing research and case studies related to deploying machine learning in different sectors of the society, and especially in the health and medicine arena. The journal will be published quarterly with every issue having one case study or a tutorial on machine learning practice. 


The editorial board consists of:

Ishwar K. Sethi, School of Engineering and Computer Science, Oakland University, Rochester, Michigan, USA
Editorial Advisory Board
 Ramesh Jain, Bren Professor in Information & Computer Sciences, Donald Bren School of Information and Computer Sciences, University of California, Irvine, California, USA
 Vasile Palade, Professor of Artificial Intelligence and Data Science, Coventry University, Coventry, UK
 Yong Rui, Corp. CTO and SVP, Lenovo, Beijing, China

Editorial Board Members
 Ibrahiem El Emary, Department of Computer Science and Systems, King Abdulaziz University, Jeddah, Saudi Arabia
 Sunil Kumar Jha, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
 Ashish Khare, Department of Electronics & Communication, University of Allahabad, Prayagraj, India
 Yi Lu Murphey, College of Engineering and Computer Science, The University of Michigan-Dearborn, Dearborn, USA
 Guangzhi Qu, School of Engineering and Computer Science, Oakland University, Rochester, USA
 Ravi Rao, Computer Science and Engineering, Fairleigh Dickinson University, Elmsford, New York, USA
 Tian Tian, Huazhong University of Science and Technology, Wuhan, China
 Auro Tripathy, Founding Principal, ShatterLine Labs, Milpitas, California, USA
 Ramasamy Uthurusamy, Ph.D. Independent Consultant, USA

The papers are invited for the inaugural issue expected to be published later this year. Papers covering all aspects of machine learning, deep learning, and pattern recognition are welcome. All submitted papers will be thoroughly reviewed by active researchers from the field before acceptance. There are no publication charges for the inaugural issue papers. Please visit the journal homepage for submission information.