[agents] [SPAM] IDEAL'2020 - Extended Submission Deadline (19 June 2020)

Paulo Novais pjon at di.uminho.pt
Thu Jun 4 17:55:01 EDT 2020


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The 21st International Conference on Intelligent Data Engineering and 
Automated Learning (IDEAL 2020)
4-6 November, Guimarães, Portugal

http://islab.di.uminho.pt/ideal2020

Extended Submission Deadline - 19 June 2020

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Call for papers
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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 the 
hugely successful IDEAL 2018 in Madrid and its 20th edition in 
Manchester, IDEAL 2020 is going to Guimarães the birthplace of Portugal. 
Its main 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 2020 track:

Special Session 1: Data Generation and Data Pre-processing in Machine 
Learning
Special Session 2: Optimization and Machine Learning for Industry 4.0
Special Session 3: Practical Applications of Deep Learning
Special Session 4: New trends and challenges on Social Networks Analysis
Special Session 5: Machine Learning in Automatic Control
Special Session 6: Emerging Trends in Machine Learning
Special Session 7: Machine Learning, Law and Legal Industry
Special Session 8: Data Recovery Approach to Clustering and Interpretability
Special Session 9: Automated learning for industrial applications
Special Session 10: Machine learning towards smarter multimodal systems

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Workshops
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We are pleased to announce two workshops lined up, which you can submit 
papers to, in addition to the main IDEAL 2020 track:

Workshop 1: Workshop on Machine Learning in Smart Mobility
Workshop 2: 3rd Workshop on Methods for Interpretation of Industrial 
Event Logs

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Paper Submission
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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=ideal2020). 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 ). 
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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Important dates
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Submission Deadline
19 June 2020

Notification of Acceptance
10 July 2020

Camera-Ready Copy Due
31 July 2020

Early Registration
31 July 2020

Conference Presentation
4-6 Nov. 2020

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Special Issues
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Authors of selected papers from IDEAL 2020 will be invited to submit an 
extended and improved version to a special issue in different journals.
- Neural Computing and Applications (JCR 2018: 4.664).
- Ambient Intelligence and Humanized Computing (JCR 2018: 1.91).
- Expert Systems (JCR 2018: 1.505).

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Best Paper Awards
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A Best Paper and a Best Paper Application Awards will be given based on 
several aspects such as originality, development, 
demonstration/presentation, and application.

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Organizing Committee
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Honorary chair
- Hujun Yin, University of Manchester, UK

General chairs
- Paulo Novais, Universidade do Minho, Portugal
- Cesar Analide, Universidade do Minho, Portugal
- David Camacho, Universidad Politécnica de Madrid, Spain

Program chairs
- Cesar Analide, Universidade do Minho, Portugal
- David Camacho, Universidad Politécnica de Madrid, Spain
- Hujun Yin, University of Manchester, UK
- Paulo Novais, Universidade do Minho, Portugal

Special Session/ Workshop chairs
- Susana Nascimento, Universidade Nova de Lisboa, Portugal
- Antonio J. Tallón-Ballesteros, University of Seville, Spain

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Contact
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For all general information concerning IDEAL 2020, contact: 
ideal2020.guimaraes at gmail.com



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