(apologies for cross-posting)

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CALL FOR PAPERS
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EPIA 2021
20th EPIA Conference on Artificial Intelligence
http://www.appia.pt/epia2021/
September 7-9, 2021
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The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI.
The 20th edition of the EPIA conference will take place online in 2021. As in previous editions, this international
conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The
purpose of this conference is to promote research in all areas of AI, covering both theoretical/foundational issues
and applications, and the scientific exchange among researchers, engineers and practitioners in related
disciplines.

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Thematic Tracks
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EPIA 2021 will feature the following thematic tracks covering a wide spectrum of AI topics:
AIoTA – Artificial Intelligence and IoT in Agriculture
AIL – Artificial Intelligence and Law
AIM – Artificial Intelligence in Medicine
AIPES – Artificial Intelligence in Power and Energy Systems
AITS – Artificial Intelligence in Transportation Systems
ALEA – Artificial Life and Evolutionary Algorithms
AmIA – Ambient Intelligence and Affective Environments
GAI- General AI
GeoAI – GeoSpatial Artificial Intelligence
IROBOT – Intelligent Robotics
KDBI – Knowledge Discovery and Business Intelligence
KRR – Knowledge Representation and Reasoning
MASTA – Multi-Agent Systems: Theory and Applications
TeMA – Text Mining and Applications

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Submission and Reviewing
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All papers should be submitted in PDF format through the EPIA 2021 EasyChair submission page https://www.easychair.org/my/conference?conf=epia2021#  
Prospective authors should select the thematic track to which their paper is to be submitted. The papers should be prepared
according to the Springer LNCS format, with a maximum of 12 pages. Some thematic tracks (see each track
specific page) may accept short papers (max 6 pages). Submitted papers will be subject to a doubleblind
review process and will be peer-reviewed by at least three members of the respective track Program
Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and
to take reasonable care to assure anonymity during the review process.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or
for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their
papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper,
must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should
match the corresponding author marked on the paper. Once the files have been sent to Springer, changes
relating to the authorship of the papers cannot be made.

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Proceedings and Presentations
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Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in
Artificial Intelligence), provided that at least one author is registered in EPIA 2021 by the early registration
deadline. EPIA 2021 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and
Google Scholar.
Each accepted paper must be presented by one of the authors in a track session.

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Awards
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The conference will grant the following award:
* Best Paper Award, for the best research paper presented at the conference sponsored by Springer
Only papers that have been submitted to a thematic track and presented at the conference will be eligible for this
award.

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Important Dates
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Paper submission deadline: April 30, 2021
Paper acceptance notification: May 31, 2021
Camera-ready deadline: June 15, 2021
Conference: September 7-9, 2021

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EPIA 2021 Committees
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Event and Program Chairs:
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Goreti Marreiros, GECAD, ISEP-IPP, Portugal
Francisco Melo, INESC-ID, Instituto Superior Técnico, Portugal
Nuno Lau, IEETA, Universidade de Aveiro, Portugal
Henrique Lopes Cardoso, LIACC, Universidade do Porto, Portugal
Luís Paulo Reis, LIACC, Universidade do Porto, Portugal

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International Steering Committee:
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Ana Bazzan, Universidade Federal do Rio Grande do Sul, Brazil
Ann Nowe, Vrije Universiteit Brussel, Belgium
Catholijn Jonker, Delft University of Technology, NL
Ernesto Costa, Universidade de Coimbra, Portugal
Eugénio Oliveira, Universidade do Porto, Portugal
Helder Coelho, Universidade de Lisboa, Portugal
João Pavão Martins, Portugal
José Júlio Alferes, Universidade Nova de Lisboa, Portugal
Juan Pavón, Universidad Complutense Madrid, Spain
Luís Paulo Reis, Universidade do Porto, Portugal
Paulo Novais, Universidade do Minho, Portugal
Pavel Brazdil, Universidade do Porto, Portugal
Virginia Dignum, Umeå University, SE

A secção Portuguesa do IEEE-Computational Intelligence Society (IEEE-PT CIS) organiza um conjunto de palestras nas próximas semanas, em algumas tardes de quarta-feira.

A próxima é já no dia 21 de Abril de 2021 das 17:00 às 18:00 em modo zoom (https://videoconf-colibri.zoom.us/j/86109989605)

A participação é gratuita e sem necessidade de inscrição.

Mais informações em: 

All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.

Scope:

Of all the areas of life where artificial intelligence will have an impact, the biggest might well be education. This is because learning is so important, and because current provision often leaves a lot to be desired.
The objective of the I Workshop on Artificial Intelligence for Education is an opportunity for researchers to provide further insight into the problems solved at this stage, advantages and disadvantages of the various approaches used, lessons learned, and meaningful contributions to enhance applications for education. In this sense, the first workshop on Artificial Intelligence for Education (AI4Ed) will provide a forum for the presentation and discussion of novel research ideas or actual deployments focused on the development of advanced applications applying to Education.

Topics:

The topics of interest for this special session include, but are not limited to:
• Intelligent Adaptive Learning Environment
• Affective Computing in Education
• Artificial Intelligence algorithms in Education
• Artificial Neural Networks in Education
• Human-Computer Interaction in Teaching System
• Artificial Intelligence in Student Evaluation
• Assessing Student Performance using Artificial Intelligence
• Educational Robotics
• Data Mining, Text Mining and Web Mining in Education
• Intelligent Agent-based Learning Environments
• Smart Chatbots in Education
• Intelligent Tutoring Systems
• Virtual reality and Augmented Reality based Learning Systems
• Pedagogical Artificial Agents

Thematic Workshop Organizers

• Dalila Durães (University of Minho, Portugal)

  Francisco Hinojo-Lucena (University of Granada)

  Francisco Marcondes (University of Minho, Braga, Portugal)

  Paulo Novais (University of Minho, Braga, Portugal)

All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.

Scope:

The objective of the workshop on Deep Learning Applications is an opportunity for researchers to provide further insight into the problems solved at this stage, advantages and disadvantages of the various approaches used, lessons learned, and meaningful contributions to enhance applications based on deep learning. In this sense, the first workshop on Deep Learning Applications (DeLA) will provide a forum for the presentation and discussion of novel research ideas or actual deployments focused on the development of advanced applications based on Deep Learning.

Topics:

The topics of interest for this special session include, but are not limited to:

• Chatbots
• Natural Language Processing (NLP);
• Computer Vision;
• Sentiment Analysis;
• Speech Recognition;
• Autonomous Vehicles;
• Robotics;
• Image Detection and Object Classification;
• Deep Learning Business Applications;
• Healthcare
• Entertainment
• Composing Music
• Pattern Recognition.
• Action Recognition
• Virtual Assistants
• Facial Recognition Systems
• Fraud Detection
• Forecasting Solutions
• eXplainable Artificial Intelligence (XAI)

Thematic Workshop Organizers

• Dalila Durães, University of Minho (Portugal)
• Cleber Zanchetin, Northwestern University (EUA)
• Leonardo Matos, Federal University of Sergipe (Brazil)
• Flávio Santos, University of Minho, Braga (Portugal)

DSAA’2021 Parallel Event:

Summer School on Data-Driven Predictive Maintenance for Industry 4.0
Porto, Portugal, October 3–5, 2021

The Summer School is for students, researchers, and practitioners who want to
learn how to implement predictive maintenance to solve real industrial problems
using machine learning approaches.

More information at: https://hh.se/PMSummerSchool

Video Facebook 130 mins (in Portuguese – starts at min. 12) Slides (in English)