Self-Learning Systems and Pattern Recognition and Exploitation (SeLSPRE)

in Special Issue   Posted on January 5, 2021 

Information for the Special Issue

Submission Deadline: Mon 31 Jan 2022
Journal Impact Factor : 3.255
Journal Name : Pattern Recognition Letters
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/self-learning-systems-and-pattern-recognition-and-exploitati
Journal & Submission Website: https://www.journals.elsevier.com/pattern-recognition-letters

Special Issue Call for Papers:

Description of the issue scope and motivation

Self-Learning Systems aim to achieve a goal -without being pre-programmed- in an environment that may be completely unknown initially. Self-learning algorithms are inspired by neuroscience and mimic he way the brain achieves cognition: they explore the environment following a try-and-error approach, or acquire knowledge from demonstrations provided by experts. The development of such a kind of systems is pushed forward by AI technologies such as Reinforcement Learning, Inverse Reinforcement Learning, and Learning by Demonstration. Their application spams from robotics and autonomous driving up to healthcare and precision medicine.

This special issue focuses on pattern recognition and their successive exploitation by Self-Learning Systems. The way Inverse Reinforcement Learning or Learning by Demonstration extract patterns from ‘demonstrated trajectories’, and how such patterns are successively exploited by a self-learning algorithm to optimize its policy or fasten its learning process, is of interest of this special issue.

Topics of interest

  • Inverse Reinforcement Learning
  • Learning-by-Demonstration and Imitation Learning
  • Pattern Recognition via Inverse Reinforcement Learning
  • Pattern Recognition from Demonstrations
  • Pattern exploitation in Self-Learning Systems
  • Pattern recognition in partially observable environments
  • Action-State trajectories analysis for pattern recognition and reward engineering
  • Pattern recognition and exploitation in Multi-Agent Self-Learning Systems
  • Pattern recognition and exploitation in Hierarchical Self-Learning Systems

 

Submission Instructions

Prospective authors should upload their submissions during the submission period through the Editorial Manager System(https://www.editorialmanager.com/PRLETTERS/default.aspx), with the article type selected as “SeLSPRE” All submissions should be prepared by adhering to the PRLetters guidelines by taking into account that VSI papers follow the same submission rules as regular articles. The submissions should be original and technically sound, and they should not have been published previously, nor be under consideration for publication elsewhere. If the submissions are extended works of previously published papers, the original works should be quoted in the References and a description of the changes that have been made should be provided. All templates for preparing the submissions are available on the journal web site (https://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors)

 

 

Important Dates

Submission Period: 1-20 October 2021

1st Round Review: 15 December 2021

Revised Submission: 31 January 2022

2nd Round Review (if required): 15 March 2022

Final submission: 15 April 2022

Final decision: 1 May 2022

Guest Editors

Managing Guest Editor:

Antonio Coronato, CNR-ICAR (Italy)

Antonio Coronato is a researcher at the Institute of High-Performance Computing and Networking (ICAR) of the Italian National Research Council (CNR), Italy. His research focuses on Reinforcement Learning, Intelligent Environments and Intelligent Medical Software. He is head of the Research Group on Self-Learning and Self-Adaptive Systems at ICAR. He has served as general chair, program chair or member of the program committee of more than one hundred international conferences or workshops.

Giovanna Di Marzo Serugendo, University of Geneva, Switzerland

Giovanna Di Marzo Serugendo is full professor at the University of Geneva. Her current research interests are in the area of collective artificial intelligence systems, multi-agent systems and digital twins. She served in various functions, from General Chair, to PC chair to reviewers in more than 150 events. She founded the IEEE Conference on Self-adaptive and self-organising systems. She also served as EiC, guest editor and reviewer for several journals. She founded the ACM Transactions on adaptive autonomous systems.

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