Connectionists: CFP - 20th International conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019)

[Peter Tino]

20th International conference on Intelligent Data Engineering and
Automated Learning (IDEAL 2019)

14-16 November, Manchester, UK

http://www.confercare.manchester.ac.uk/events/ideal2019/



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Final Call for papers: Further Deadline Extension + Short Paper Category !

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The International Conference on Intelligent Data Engineering and
Automated Learning (IDEAL) is an annual international conference
dedicated to emerging and challenging topics in intelligent data
analytics and associated learning systems and paradigms. After recent
successful hosting the around world, esp. in Madrid last year, the 20th
edition is returning to Manchester, the birthplace of Artificial
Intelligence, with the support of the Alan Turing Institute. Its main
research themes or topics include, but not limited to:



- Big Data Analytics

- Machine Learning & Deep Learning

- Data Mining

- Information Retrieval and Management

- Bio- and Neuro-Informatics

- Bio-Inspired Models

- Agents and Hybrid Intelligent Systems

- Real-world Applications of Intelligent Techniques



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Special Sessions

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We are pleased to announce several Special Sessions lined up, which you
can submit papers to, in addition to the main IDEAL 2019 track:



Special Session 1: Fuzzy Systems and Intelligent Data Analysis

Special Session 2: Machine Learning towards Smarter Multimodal Systems

Special Session 3: Data Selection in Machine Learning

Special session 4: Machine Learning in Healthcare

Special session 5: Machine Learning in Automatic Control

Special Seesion 6: Finance and Data Mining

Special session 7: Knowledge Discovery from Data

Special Seesion 8: Machine Learning Algorithms for Hard Problems



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Paper Submissions

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Authors are invited to submit their manuscripts (in pdf format) written
in English by the deadline via the Easychair online submission system
(https://easychair.org/conferences/?conf=ideal2018).

Papers should be within 8 pages but must not exceed 12 pages, and must
comply with the format of Springer LNCS/LNAI Proceedings (see
www.springer.com/lncs ). Information about submissions to
Workshop/Special Sessions can be found in the conference website. All
accepted papers will be included in the conference proceedings, to be
published by Springer in the LNCS series, indexed by EI.



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Short Papers

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To encourage emerging results and novel initial developments, esp. from
PhD students and young researchers, we accept short papers of 4-6 LNCS
pages. Short papers may be submitted a few days after the deadline. Such
papers will also go through our vigorous peer-review process for its
novelty and soundness with a much quicker turn-around time. Although
short papers are mainly for the main track, they can be submitted to one
of the Special Sessions too. The submission system will automatically
treat any papers that are within 4-6 pages as short papers and PC chairs
will ensure a speedy review of them.



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Important dates

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Extended Submission Deadline

29 July 2019



Notification of Acceptance

19 August 2019



Camera-Ready Copy Due

1 September 2019



Author/Early Registration

1 September 2019



Conference Presentation

14-16 November 2019



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Organising Committee

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Programme Co-chairs

- Hujun Yin, University of Manchester, UK

- David Camacho, Universidad Autónoma de Madrid, Spain

- Peter Tino, University of Birmingham, UK

- Ronaldo Menezes, University of Exeter, UK

- Antonio Tallon, University of Seville, Spain

- Richard Allmendinger, The University of Manchester, UK



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Sponsors & Best Paper Awards

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The University of Manchester

The Alan Turing Institute

The IEEE CIS UK & Ireland Chapter

Springer



Several sponsored Best Paper Awards will be given based several aspects
such as originality, development, demonstration/presentation, and
application.



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Contact

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For all general information concerning IDEAL 2019, contact:

confercare-online at manchester.ac.uk (quote "IDEAL" in subject)

or hujun.yin at manchester.ac.uk






-- 
Peter Tino
The University of Birmingham
School of Computer Science
Edgbaston, Birmingham B15 2TT, UK
+44 121 414 8558  ,  fax: 414 4281
http://www.cs.bham.ac.uk/~pxt/