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IDEAL 2020 : 21st International Conference on Intelligent Data Engineering and Automated LearningConference Series : Intelligent Data Engineering and Automated Learning | |||||||||||||||
Link: http://islab.di.uminho.pt/ideal2020/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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 last year, IDEAL 2020 is going to Guimarães, the birthplace of Portugal. 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 Other related and emerging themes and topics are also welcome. The conference provides a unique opportunity and stimulating forum for presenting and discussing the latest theoretical advances and real-world applications in Computational Intelligence and Intelligent Data Analysis. Authors and researchers are warmly invited submit their latest findings and research work to the conference. Potential session/workshop organizers are invited to enlist potential papers in a cohesive topic for their special session(s)/workshops. Proposals and queries can be sent to IDEAL 2020 contact. Instructions for authors Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the conference online submission system (Easychair). All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. All contributions must be original, should not have been published elsewhere and must not be submitted elsewhere during the review period. 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 ) Paper submission for IDEAL 2020 is via Easychair (open soon) Call for Workshops and Special Sessions Special Sessions In addition to the regular sessions, there are a few special sessions devoted to emerging topics and areas with growing attention - see IDEAL 2020 website for details. Researchers and prospective organizers are invited to submit a one-page proposal for a special session to the conference contact. Each proposal should include the following information: • The title of the special session. • The organizers with their affiliations. • A description of why the topic is of special interest and how it fits to the scope of IDEAL. Each special session preferably consists of four or more presentations. Special sessions receiving less than 4 papers will be merged into a suitable regular session. Workshops Workshops focus on new and emerging topics. In contrast to special sessions, workshops should include an introductory talk or tutorial on the topic and will have final discussions at the end of the workshop. Apart from the introductory talk in the discussion, Workshops should preferably include six or more additional presentations. Researchers or prospective organizers are invited to submit a one-page proposals for workshops to the conference contact. In addition to the information required for special sessions, workshop proposal should also include the following: • The name(s) of the presenter(s) of the introductory talk. • A theme for the discussion. Paper Submission and Review Process. The paper format of the Special Sessions or Workshops is the same as for the main track of the conference and so is their submission and review process (while each Special Session or Workshop can appoint its own reviewers if necessary, in additional to the main PC). All accepted papers will be included in the conference proceedings, to be published by Springer in its LNCS series - standard no-show policies apply. |
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