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IEEE/ACM/ASA DSAA’2021
CALL FOR PAPERS: Research, Application, Industrial, PhD and Special Sessions Tracks
Research & Application Tracks: dsaa2021.dcc.fc.up.pt/calls/research-applications-tracks
Industrial Track: dsaa2021.dcc.fc.up.pt/calls/industrial-track
PhD Track: dsaa2021.dcc.fc.up.pt/calls/phd-track
Special Sessions: dsaa2021.dcc.fc.up.pt/calls/special-sessions
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Important Dates
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Research, Application, Special Session, and Tutorials: submission deadline: 23 May 2021
Research, Application, and Special Session tracks notification: 25 Jul. 2021
Research, Application, and Special Session tracks camera ready due: 8 Aug. 2021
PhD Track submission deadline: 1 July 2021
PhD Track notification: 15 July 2021
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Attached to this e-mail you can find a document containing detailed information about the Call For Papers.

Best Regards,
Carlos Ferreira
Publicity Chair

Carlos Ferreira
[https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png]<www2.isep.ipp.pt/assinatura_email/> ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt<www.isep.ipp.pt>

Call-for-Papers.pdf

[Apologies if you receive multiple copies of this CFP]
———————————- – – – – – – – – – – – – – – – AmIA_Environments@EPIA2021 :: CALL FOR PAPERS ———————————- – – – – – – – – – – – – – – –
Special Track on Ambient Intelligence and Affective Environments (AmIA Environments 2021) 20th Portuguese Conference on Artificial Intelligence – EPIA 2021 (Online)
7th-9th September, 2021 www.appia.pt/epia2021
———————————- – – – – – – – – – – – – – – – Submission deadline: 15th April, 2021 ———————————- – – – – – – – – – – – – – – –
Ambient Intelligence (AmI) is a paradigm emerging from Artificial Intelligence (AI), where computers are used as proactive tools assisting people with their day-to-day activities, making everyone’s life more comfortable.
Affect and social behaviour plays an important role in the development of Ambient Intelligent Environments. Consideration of aspects like emotions, mood, personality traits, and attitudes in human-computer, human-robot, and human-environment interaction, especially insofar as they provide better or more “natural” support for humans. These environments should be aware of the needs of people, customizing requirements and forecasting behaviours.
AmI environments may be highly diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transport facilities, tourist attractions, stores, sport installations, music devices, etc.
In the Thematic track on AmIA Environments we will create a multi-disciplinary discussion forum that will bring together researchers from the different fields addressed discussing issues in Artificial Intelligence topics included in the Ambient Intelligence and affective environments. Researchers are welcome to present both theoretical and practical works as well as the lessons learned with their application in the varied range of domains. Emphasis will be placed on the presentation of concrete systems, discussion of implementation and development challenges and sharing of conclusions achieved and relevant results.
———————————- – – – – – – – – – – – – – – – CONTRIBUTIONS ———————————- – – – – – – – – – – – – – – –
In order to fulfill these objectives, submissions of substantial, original and previously unpublished work are invited in all areas of Ambient Intelligence and Affective environments. The topics of interest include, but are not limited to: – Applications – Ambient Assisted Living – Ubiquitous Computing – Artificial Intelligence for AmI – Intelligent Environments – Pervasive Computing – Context Aware Computing – Agent & Multiagent Systems for AmI – Mobile Computing – Sentient Computing – e-Health – Context Modelling – AmI for e-Learning – On-line Dispute Resolution – Memory Assistant – Computational models of emotions – Group Emotion – Affect and learning – Artificial characters – Affect and emotion recognition
———————————- – – – – – – – – – – – – – – – SUBMISSION INSTRUCTIONS and PAPERS FORMAT ———————————- – – – – – – – – – – – – – – –
Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.
All papers should be submitted in PDF format through the EPIA’2021 submission Website (www.easychair.org/conferences/?conf=epia2021) selecting the track AmIA – Ambient Intelligence and Affective Environments.
———————————- – – – – – – – – – – – – – – – IMPORTANT DATES ———————————- – – – – – – – – – – – – – – –
– Paper submission deadline: April 15, 2021 – Paper acceptance notification: May 31, 2021 – Camera-ready deadline: June 15, 2021 – EPIA Conference: September 7-9, 2021 (Online)
———————————- – – – – – – – – – – – – – – – PUBLICATION ———————————- – – – – – – – – – – – – – – –
Accepted papers will be included in the conference proceedings (Springer LNAI – Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2021 by the early registration deadline. Proceedings will be submitted for indexation by ISI Thomson, SCOPUS, DBLP, EI-Compendex among several other scientific databases.
———————————- – – – – – – – – – – – – – – – ORGANIZING COMMITTEE ———————————- – – – – – – – – – – – – – – –
Ana Almeida, Polytechnic of Porto, Portugal (amn@isep.ipp.pt) Sara Rodriguez, University of Salamanca, Spain (srg@usal.es) Goreti Marreiros, Polytechnic of Porto (mgt@isep.ipp.pt) Paulo Novais, University of Minho, Portugal (pjon@di.uminho.pt) Peter Mikulecky, University of Hradec Kralove (peter.mikulecky@uhk.cz)
———————————- – – – – – – – – – – – – – – – CONTACT PERSON ———————————- – – – – – – – – – – – – – – –
Paulo Novais, University of Minho, Portugal (pjon@di.uminho.pt)
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DaSSWeb – Data Science and Statistics Webinar
Tuesday, 16 March, 17:00
Speaker: Luís Torgo Dalhousie University, Canada & Fac. Sciences, Univ. Porto
Title: Time Series Forecasting: some challenges and possible solutions
Zoom link: videoconf-colibri.zoom.us/j/81896928976
Abstract:
With the widespread availability of a multitude of data collection devices measuring different properties frequently in real time, time series forecasting is becoming increasingly important for many application domains. Approaches from many research disciplines (e.g.statistics, econometrics, machine learning, etc.) are available to practitioners and researchers. All these facts raise several challenges that we will discuss during this talk. We will describe alternative methods for correctly evaluating and comparing these approaches, thus facilitating the relevant task of model selection. We will also address some of the reasons leading to models performing rather differently across diverse application domains. Finally, we discuss how approaches based on ensembles can help in overcoming some of these difficulties.
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DaSSWeb_Luis_Torgo.pdf