[rede.APPIA] Atribuição do título de Emérito da NOVA ao Prof. Luís Moniz Pereira

Caros colegas e amigos,

O Departamento de Informática propôs a concessão do título de Professor Emérito da NOVA ao Professor Luís Moniz Pereira. 

Este título de Professor Emérito da UNL é concedido, a título excecional, aos professores catedráticos, aposentados, reformados ou jubilados, cuja contribuição para a atividade da sua unidade orgânica seja reconhecida de mérito especialmente relevante.

Fui informado de que a proposta recebeu o apoio unânime do Colégio de Diretores da NOVA, depois de também ter tido o apoio unânime do Conselho Científico da FCT e do Conselho de Departamento do DI. Resta agora o Reitor enviar o respectivo despacho para o D.R.

A proposta segue em anexo, para vosso conhecimento.



Com os melhores cumprimentos
Luís Moniz Pereira




[rede.APPIA] ECML/PKDD Discovery Challenges

ECML/PKDD Discovery Challenges

It is a great pleasure for us to announce three different Data Challenges associated with the 2021 edition of the European Conference on Machine Learning and Principle and Practice of Knowledge Discovery from Data<2021.ecmlpkdd.org/> (ECML/PKDD).

You can find the list of the challenges with their associated website here:

* Farfetch Fashion Recommendations Challenge:
www.ffrecschallenge.com/ecmlpkdd2021/

* Finding the planet in the noise: De-trending exoplanet light curves from non-linear noise:
www.ariel-datachallenge.space/

* Discover the mysteries of the Maya:
biasvariancelabs.github.io/maya_challenge/

All the challenges have just started (1st of April 2021) and they will end the 1st of July 2021. The papers associated with the best performing methods are expected to be submitted for the 22nd of July 2022.

Detailed instructions are available on the web page of each Data Challenge.

Looking forward to see your submission to one of the ongoing challenges,

All the best,

Paula Brito and Dino Ienco
Discovery Challenge Chairs

[rede.APPIA] DaSSWeb – Data Science and Statistics Webinar – 13 April – Conceição Silva

DaSSWeb – Data Science and Statistics Webinar
Tuesday, 13 April, 17:00
Speaker: Conceição Silva Católica Porto Business School & CEGE
Title: Benchmarking organizations: Lessons Learned, DEA, and Applications
Zoom link: videoconf-colibri.zoom.us/j/86416424581
Abstract:
The objective of this presentation is to introduce the concepts and techniques for benchmarking of organizations. The presentation will be based on the vast number of applications on which I have been involved over the past years, mainly in the public sector, including the benchmarking of schools, hospitals, primary health units and courts. Benchmarking can be undertaken through frontier techniques and Data Envelopment Analysis is the technique I have mostly used in my empirical applications. I will go into the basics of this technique for benchmarking purposes pinpointing its advantages and the main difficulties and challenges involved on its implementation. The presentation will be based on real-case examples drawn from my own experience.
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[rede.APPIA] IEEE-PT CI Lectures Series

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 7 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: 

[rede.APPIA] AmIA_Environments@EPIA2021 :: 2nd CALL FOR PAPERS

[Apologies if you receive multiple copies of this CFP]
———————————- – – – – – – – – – – – – – – – AmIA_Environments@EPIA2021 :: 2nd 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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