posted by user: perner || 5720 views || tracked by 3 users: [display]

CBR-MD 2020 : International Workshop Case-Based Reasoning CBR-MD 2020

FacebookTwitterLinkedInGoogle

Link: http://www.data-mining-forum.de/w_casebased.php
 
When Jul 17, 2020 - Jul 17, 2020
Where New York
Submission Deadline May 25, 2020
Notification Due May 30, 2020
Final Version Due Jun 12, 2020
Categories    case-based-reasoning   machine learning   data mining   clustering
 

Call For Papers

CBR
International Workshop Case-Based Reasoning CBR-MD 2020

July 17th, 2020, New York / USA
Workshop Chair

Michael Kunz, Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

Program Committee

Nikolay Burlutskiy, University of Brighton, Sweden
Bill Cheetham, Rensselaer Polytechnic Institute, USA
Hadj Hamma Tadjine,IAV GmbH, Germany
Habib Hadj-Mabrouk, Universitè de Technologie de Compiègne, Spain
Martin Hofmann-Apitius, University of Bonn, Germany
Jose M. Juarez, Universidad de Murcia, Spain
Josè Tomàs Palma Mèndez, Universitad de Murcia, Spain
Miquel Sánchez-Marrè FiEMSs, Universistat Politèchnica De Catalunya, Spain
Andreu Sancho Asensio, Accenture Digital, Universitat Ramon Llull, Spain)
Maria Salamo, University of Barcelona, Spain
Rainer Schmidt, University of Rostock, Germany
Feng YU, Harbin Institute of Technology, China

The goals of this workshop are to:

provide a forum for identifying important contributions and opportunities for research on case-based reasoning
promote the systematic study of how to apply case-based reasoning to different applications show case applications of case-based reasoning

Topics of interest include (but are not limited to):

CBR for signals, images, video, audio and text
Similarity assessment, Similarity Measures, Categorization of Similarity Measures
Case representation and case mining
Retrieval and indexing
Conversational CBR
Meta-learning for model improvement and parameter setting for processing with CBR
Incremental model improvement by CBR
Case base maintenance for systems
Case authoring
Life-time of a CBR system
Measuring coverage of case bases
Ontology learning with CBR

Submission Requirements

All papers will be published in the workshop proceedings by ibai-publishing.

Paper submissions should be formatted according to Springer LNCS format, with a maximum of 15 pages. Author's instructions along with LaTeX and Word macro files are available on the web at http://www.springer.de/comp/lncs/authors.html.

Please submit the electronic version of your camera-ready paper to EasyChair CBR-MD 2019.

Related Resources

ICDM 2021   21th Industrial Conference on Data Mining
AAAI 2020   The Thirty-Fourth AAAI Conference on Artificial Intelligence
MLDM 2021   17th International Conference on Machine Learning and Data Mining
TRECVID 2020   Trec Video Retrieval Evaluation
DASFAA 2021   Database Systems for Advanced Applications
INFORMS 2020   The 2020 INFORMS Annual Meeting
SESBC 2020   International Conference on Software Engineering, Security and Blockchain
MD 2020   2020 International Conference on Medical Design
CBDA 2021   2nd International Conference on Big Data
TextGraphs 2020   14th Workshop on Graph-Based Natural Language Processing (TextGraphs-14)