3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021
13-20 December 2021
University of Salerno, Italy and Hebei University of Technology, China
In Collaboration with

Conference Proceedings

ALL ACCEPTED & PRESENTED papers will be reviewed for possible publication in SPRINGER LNNS.
 

Springer Springer

  Early Bird Registration is now open: Till November 25, 2021.Register Now

Amid prevailing conditions due to COVID19, a virtual meeting platform is to be made available for all registered authors who intend to submit their work but are unable to attend the conference.

Workshops

ICDLAIR-2021 invites eminent academicians, scientists, researchers, industrialists, technocrats, government representatives, social visionaries and experts from all strata of society to work together for more meaningful and professional outcome. The ICDLAIR 2021 team plans to hold workshops/special sessions on various areas of expertise, in any of the tracks based on related theme.

The Workshops/Special Sessions will be chaired by experts from different fields. The presentation of the papers will be scheduled on any day (December 13-20, 2021) of the conference.

Adaptative systems for decision aid

Abstract

Decision aid is full of complexity, uncertainty and imprecision. With the huge amount of data available today, systems need to be more and more consistent and have to rely on formalized models that help dealing with complexity by capitalizing on knowledge. In this context, adaptive systems are suitable since such systems adapt their behaviour to individual users based on information acquired about their environment and their user(s). This workshop is going to provide a forum for researchers and practitioners involved in different and complementary domains like Decision, Data Science  and Knowledge Engineering to confront research results and to discuss key problems.

The major topics of interest of this workshop include, but are not limited to:

  1. Knowledge sharing and collaboration
  2. Decision support systems for knowledge management
  3. Knowledge management systems
  4. Knowledge management and business process modeling
  5. Ontology for knowledge management
  6. Information and knowledge systems
  7. Context-aware recommender systems
  8. Explainability in recommender systems

Co-chairs

Prof. Marie-Helene Abel
Prof. Marie-Helene Abel,
Sorbonne Universités, Universite de technology de Compiegne, France.
Marie-Helene Abel is Professor and director of the Computer Engineering Department (Sorbonne Universités, Université de technology de Compiègne, France). She is member of Heudiasyc Laboratory, and head of the MEMORAe project (http://www.hds.utc.fr/memorae). Co-editor, president of SMC chapter of IEEE French section, Her expertise includes Knowledge Engineering, Semantic Web, Knowledge Management, and e-learning.
E-Mail : marie-helene.abel@hds.utc.fr
Prof. Elsa Negre
Prof. Elsa Negre,
Associate Professor, Paris-Dauphine University, France
Elsa Negre is currently an Associate Professor in Data science at Paris-Dauphine University (France) and member of LAMSADE Laboratory. She holds her Ph.D. in Computer Science from University of Tours (France) and was a postdoctoral fellow at UQO (Canada) and LINA (France). Her research interests include recommender systems, information systems, data warehousing, early warning systems and smart cities. She authored and co-authored more than 70 publications in refereed journals and conferences.

The ONLINE submission site is

Springer OCS

  Click here to submit.

Submission Guidelines

Papers reporting original* and unpublished research results pertaining to the related topics are solicited. *(papers with plagiarism more than 30% will be outrightly rejected)

  • Extended abstracts must be in English of 4 pages as per Springer format.
  • Full paper manuscripts must be in English of up to 10 pages as per Springer format.


For authors convenience, Springer has summarized in the Author Guidelines document how a proceedings paper should be structured, how elements (headings, figures, references) should be formatted using our predefined styles, etc. The PDF of the Authors Guidelines can be downloaded from the given link or as part of the zip files containing the complete sets of instructions and templates for the different text preparation systems.

Springer has developed LaTeX style files and Word templates to help prepare paper. LaTeX is the preferred format for texts containing several formulae, but Word templates are also available on the following link:

https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines

Submissions should NOT include the author(s), affiliation(s), e-mail address(es), and postal address(es) in the manuscripts. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted.