[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.
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In order to fulfill these objectives, submissions of substantial, original and previously unpublished work are invited in all areas of Ambient Intelligence and Affective environments.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
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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)
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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)
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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

IEEE/ACM/ASA DSAA’2021
Porto, Portugal, 06-09 October 2021
Website: dsaa2021.dcc.fc.up.pt/
Submission website: cmt3.research.microsoft.com/DSAA2021
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Important Dates Research, Application and Tutorials: submission deadline: 23 May 2021 Research and Application notification: 25 Jul. 2021 Research and Application camera ready due: 8 Aug. 2021
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Highlights of DSAA’2021 *A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. *Strong Journal, Research, and Applications tracks with reproducible and open results. *Industry track session with lightning results highlighting research advances and industry’s best practices. *Special sessions on the foundations and emerging areas for data science. *Tutorials on hot topics, and hands-on tutorials *Special panel on the trends and controversies of data science and analytics. *Strong cross-domain interactions among researchers and industry and government policymakers and practitioners. *Industry and research exhibits. *Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. *Technically supported by ACM SIGKDD and ASA.
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Precaution of COVID-19 Due to ongoing uncertainty about future travel due to COVID-19, DSAA’2021 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions.
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About DSAA’2021 The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA’2021) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA’2021 is a multi-track conference consisting of a Journal Track, Research Track, Application Track, and Industry Track. DSAA’2021 will also feature a peer-reviewed Poster session whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics.
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Research Track The Research Track solicits the latest, original, and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to: *Data Science and Advanced Analytics Methods *Mathematics, Statistics for data science and analytics *Understanding data characteristics and complexities *Deep Learning *Data quality and misinformation *Bayesian learning, optimization, inference, and regularization *Infrastructures, and systems *Evaluation, explanation, visualization, and presentation *Fairness, accountability, and trustworthy Machine Learning *Survey and review The paper submission deadline for the Research Track is May 23, 2021 (no separate abstract deadline) and the acceptance notifications will be sent out by July 25, 2021.
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Applications Track The Application track solicits original, impactful, and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policymakers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to: *Domain-driven data science and analytics practice *Real-world applications and case studies *Operationalizable infrastructures, platforms, and tools *Deployment, management, and decision-making *System and software demonstrations *Social and economic impact modelling *Ethics, social issues, privacy, trust, and bias
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Industrial Track The IEEE DSAA’2021 Industry track aims to highlight the challenges of putting together production-grade software solutions to different business verticals based on data science. Our goal is to promote the debate, the exchange of ideas and/or collaborations on how to add business value to society through data science.
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Submission Submissions to the main conference including Research Track & Application Track are available from CMT: cmt3.research.microsoft.com/DSAA2021.
Carlos Ferreira
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