March 1, 2018 We are pleased to announce the excellent program we have scheduled for the FLAIRS-31 Special Track on CBR! An invited talk from Santiago Ontanon, 4 oral presentations, and 2 poster presentations.
January 26, 2018 We received some very good submissions this year and are set to have an excellent Special Track program. Thank you to all of the PC members and reviewers for their hard work during the review process.
July 18, 2017 The special track has been accepted for FLAIRS-31.
July 6, 2017 The special track is currently being proposed for FLAIRS-31. Check back soon for updates.
Similarity Assessment for Structured Representations
Abstract: Similarity assessment is one of the core concepts underlying any case-based reasoning systems, and many other artificial intelligence and machine learning approaches such as clustering or kernel methods. Moreover, although similarity assessment for feature vector representations has been well-studied, work on similarity assessment for structured representations is fragmented across different communities such as Inductive Logic Programming, graph matching, case-based reasoning and others, with little cross-pollination. In this talk, we will cover the basic concepts underlying similarity assessment for structured representations, as well as the state of the art and which are the open research challenges.
Biographical Sketch: Dr. Santiago Ontanon is an associate professor in the Computer Science Department at Drexel University. His main research interests are game AI, case-based reasoning and machine learning, fields in which he has published more than 150 peer-reviewed papers. He obtained his PhD form the Autonomous University of Barcelona (UAB), Spain. Before joining Drexel University, he held postdoctoral research positions at the Artificial Intelligence Research Institute (IIIA) in Barcelona, Spain, at the Georgia Institute of Technology (GeorgiaTech) in Atlanta, USA, and at the University of Barcelona, Spain.
Oral Presentations
An Optimal Footprint Method for Case-Base Maintenance - Ditty Mathew and Sutanu Chakraborti
A Case-Based Reasoning Approach to Learning State-Based Behavior - Amrik Sacha Elapata Gunaratne, Babak Esfandiari and Ali Fawaz
The Enemy of my Enemy is my Friend: Class-to-class Weighting in K-nearest Neighbors Algorithm - Xiaomeng Ye
Feature Selection and Case-based Reasoning for Survival Analysis in Bioinformatics - Isabelle Bichindaritz, Charles Englebert, Leszek Kotula and Angelina Regua
Poster Presentations
Content Selection for Time Series Summarization using Case-Based Reasoning - Neha Dubey, Sutanu Chakraborti and Deepak Khemani
A Case-based Reasoning and Clustering Framework for the Development of Intelligent Agents in Simulation Systems - Marcos R. B. Lucca, Alcides G. Lopes Junior, Edison P. Freitas and Luis A. L. Silva
Case-Based Reasoning (CBR) is an Artificial Intelligence problem solving and analysis methodology that retrieves and adapts previous
experiences to fit new contexts. This forum is intended to gather AI researchers and practitioners with an interest in CBR to present
and discuss developments in CBR theory and application.
Following successful special tracks on Case-Based Reasoning at FLAIRS over the past seventeen years, we are inviting papers for the
FLAIRS 2018 conference 18th Special Track on Case Based Reasoning.
Papers and contributions are encouraged for any work relating to Case-Based Reasoning. Topics
of interest may include (but are in no way limited to):
Foundations of CBR
Methods for CBR (e.g., representation, indexing, retrieval, adaptation)
Evaluation Methods for CBR Systems and Integrations
Practical Applications of CBR
Textual CBR
CBR and Creativity
CBR and Design
Distributed CBR
Case Base Maintenance
CBR in the Health Sciences
CBR Integrations
Case-Based Planning
CBR in Games, Simulations and Robotics
CBR and Recommender Systems
Process-oriented CBR
CBR Tools and Methodologies
Note: We invite original papers (i.e. work not previously submitted, in submission, or to be
submitted to another conference during the reviewing process).
Interested authors should format their papers according to AAAI formatting guidelines
(Latex and Word templates).
The papers should be original work (i.e., not submitted, in submission, or submitted to another
conference while in review). FULL Papers should not exceed 6 pages; SHORT papers (for poster
presentations) should not exceed 4 pages; Abstracts (for poster presentations, maximum of 300
words) are also invited. All submissions are due by November 20th, 2017.
For FLAIRS-31, the 2018 conference, the reviewing is a double-blind process. Please replace author names and
affiliations with Xs on submitted papers to provide double-blind reviewing.
Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the
main conference web site (http://www.flairs-31.info/). When making a submission, authors
should indicate the Case-Based Reasoning special track. The proceedings of FLAIRS will be
published by the AAAI. Authors of accepted papers will be required to sign a form transferring
copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author
registration per paper.
Conference Proceedings: Papers will be refereed and all accepted papers will appear in the conference proceedings, which
will be published by AAAI Press.