Machine Learning and Applications in Artificial Intelligence

Machine learning (ML) deals with designing and developing algorithms to evolve behaviors based on empirical data. ML has the ability to adapt to new circumstances and to detect and extrapolate patterns. One key goal of machine learning is to be able to generalize from limited sets of data. Many successful applications of machine learning exist already, including algorithms to identify spam or to stop credit card fraud, systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, extract knowledge from bioinformatics data, images and video, identify hear failures, and a long list of interesting and extremely useful applications.

The main scope of this special issue is to bring together applications of machine learning in artificial intelligence (human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and social sciences, bioinformatics, robotics, etc.) in order to give a wide landscape of techniques that can be successfully applied and also to show how such techniques should be adapted to each particular domain.

Topics of interests include, but are not limited to Classification, regression and prediction; Clustering; Kernel methods; Problem solving and planning; Reasoning and inference; Data mining; Web mining; Information retrieval; Natural language processing; Design and diagnosis; Deep learning; Probabilistic Models and Methods; Vision and speech perception; Robotics and control; Multi-agent systems; Game playing; Bioinformatics; Social sciences; Streaming data; Music Modelling and Analysis; Industrial, financial and scientific applications of all kind.

Important dates

Submission period:  2-31 January 2017
First round decisions: 15 April 2017
Revisions deadline: 1 June 2017
Final round decisions: 1 September 2017
Camera ready: 15 September 2017

Submission instructions

Authors are invited to submit their manuscripts electronically after the “open for submissions” date, adhering to the PRLetters guidelines. When submitting their papers through the online system, Authors should select the acronym “SI:MLAAI” to make it clear that they are submitting to this SI.

Guest Editors:

Àngela Nebot, Department of Computer Science, Universitat Politècnica de Catalunya, Spain
(angela@cs.upc.edu)

Ramon López de Mántaras, Artificial Intelligence Research Institute, Spanish National Research Council, Spain
(mantaras@iiia.csic.es)

Xavier Binefa, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Spain
(xavier.binefa@upf.edu)