Category: [rede.APPIA]

A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.

[rede.APPIA] 42nd European Conference on Information Retrieval | Lisbon, 2020 | Last Call for Full Papers

Ricardo Campos

=====================

ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/

Lisbon
April 14 -17, 2020
=====================

The European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.

ECIR 2020 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.

ECIR strongly supports user, system, application, and evaluation focused papers:

 * User aspects including information interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.

 * System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.

 * Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.

 * Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.

In addition to these traditional topic areas, ECIR 2020 will be encouraging the submissions of papers on a specialised theme (eHealth, DeepLearning, education IR etc.)

Full Paper Track
=====================
The Full paper track provides the opportunity for researchers to present their state of the art research in Information Retrieval, which makes, or have the potential to make, a significant contribution to the field. Full paper submissions should be 12 pages in length plus additional pages for references.

NEW!!!: As of 2020, a selection of the best papers at ECIR will be published in a special issue of the Information Retrieval Journal.

Information Retrieval Journal
=====================
Selected papers from ECIR 2020  will be published in a special issue of the  Information Retrieval Journal in early 2021.

Submission Guidelines
=====================
All submissions must be written in English and be formatted according to the LNCS author guidelines. All papers should be submitted electronically through the conference submission system. Full papers (e.g. main paper track and reproducibility track) are up to 12 pages in length plus additional pages for references.


Full paper submissions will be refereed through double-blind peer review. Accepted full papers will be published in the conference proceedings published in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted full papers will have to be presented at the conference–and at least one author will be required to register.

Timeline
=====================

Full paper submission: 1 October 2019
Notification: 30 November 2019

Workshops and tutorials: 14 April 2020
Main Conference: 15-17 April 2020

[rede.APPIA] EXTENDED DEADLINE: DATA STREAMS TRACK – ACM SAC 2020 (Submission deadline: September 29, 2019)

Carlos Manuel Abreu Gomes Ferreira

*ACM Symposium on Applied Computing *
The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic
March 30 – April 3, 2020
www.sigapp.org/sac/sac2020/
*Data Streams Track *
www.cs.waikato.ac.nz/~abifet/SAC2020/

*Call for Papers *
The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.
*TOPICS OF INTEREST *
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
* Real-Time Analytics
* Big Data Mining
* Data Stream Models
* Large Scale Machine Learning
* Languages for Stream Query
* Continuous Queries
* Clustering from Data Streams
* Decision Trees from Data Streams
* Association Rules from Data Streams
* Decision Rules from Data Streams
* Bayesian Networks from Data Streams
* Neural Networks for Data Streams
* Feature Selection from Data Streams
* Visualization Techniques for Data Streams
* Incremental on-line Learning Algorithms
* Single-Pass Algorithms
* Temporal, spatial, and spatio-temporal data mining
* Scalable Algorithms
* Real-Time and Real-World Applications using Stream data
* Distributed and Social Stream Mining
* Urban Computing, Smart Cities
* Internet of Things (IoT)
*IMPORTANT DATES (NEW!) *
1. Submission deadline: September 15 -> September 29
2. Notification deadline: November 10 -> November 24
3. Camera-ready deadline: November 25 -> December 9
*PAPER SUBMISSION GUIDELINES *
Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: www.acm.org/sigs/pubs/proceed/template.html
Important notice:
1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.
If you encounter any problems with your submission, please contact the Program Coordinator.

Carlos Ferreira
[http://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>

[rede.APPIA] Bolsas Gulbenkian Novos Talentos em Inteligência Artificial – Edição 2019-2020

Henrique Lopes Cardoso
As Bolsas Gulbenkian Novos Talentos em Inteligência Artificial destinam-se a estudantes inscritos no 3.º ou 4.º anos de cursos de licenciatura e de mestrados integrados ou 1.º ano de cursos de mestrado, de instituições de ensino superior portuguesas, nas áreas da Engenharia Informática, Informática, Ciências da Computação, Matemáticas Aplicadas, Tecnologias da Informação e Comunicação ou afins., interessados em aprofundar o estudo nesta área.

Estas bolsas vão permitir aos estudantes a investigação e o estudo aprofundado nesta matéria, sob a orientação de tutores, e a participação ativa num conjunto de workshops de formação.

Candidaturas: 1 a 27 setembro 2019

Mais informações em: https://gulbenkian.pt/grant/novos-talentos-em-inteligencia-artificial/

[rede.APPIA] CFP: DATA STREAMS TRACK – ACM SAC 2020 (Submission deadline: September 15, 2019)

Carlos Manuel Abreu Gomes Ferreira

*ACM Symposium on Applied Computing *
The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic
March 30 – April 3, 2020
www.sigapp.org/sac/sac2020/
*Data Streams Track *
www.cs.waikato.ac.nz/~abifet/SAC2020/

*Call for Papers *
The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.
*TOPICS OF INTEREST *
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
* Real-Time Analytics
* Big Data Mining
* Data Stream Models
* Large Scale Machine Learning
* Languages for Stream Query
* Continuous Queries
* Clustering from Data Streams
* Decision Trees from Data Streams
* Association Rules from Data Streams
* Decision Rules from Data Streams
* Bayesian Networks from Data Streams
* Neural Networks for Data Streams
* Feature Selection from Data Streams
* Visualization Techniques for Data Streams
* Incremental on-line Learning Algorithms
* Single-Pass Algorithms
* Temporal, spatial, and spatio-temporal data mining
* Scalable Algorithms
* Real-Time and Real-World Applications using Stream data
* Distributed and Social Stream Mining
* Urban Computing, Smart Cities
* Internet of Things (IoT)
*IMPORTANT DATES (strict) *
1. Paper Submission: September 15, 2019
2. Author Notification: November 10, 2019
3. Camera‐ready copies: November 25, 2019

*PAPER SUBMISSION GUIDELINES *
Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: www.acm.org/sigs/pubs/proceed/template.html
Important notice:
1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.
If you encounter any problems with your submission, please contact the Program Coordinator.

Carlos Ferreira
[http://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>

[rede.APPIA] Prémio Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018

Goreti Marreiros

A direção da Associação Portuguesa para a Inteligência Artificial (APPIA) tem o prazer de anunciar o resultado final do Prémio Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018.

 Promovido pela APPIA, o prémio recebeu um total de 9 candidaturas válidas, sendo que após a receção das mesmas, foi constituído o júri, composto por (ordem alfabética):

– Dalila Durães (Politécnico do Porto)
– Fábio Silva (Universidade do Minho)
– Henrique Lopes Cardoso (Universidade do Porto)
– João Balsa (Universidade de Lisboa)
– Jorge Ribeiro (Politécnico de Viana do Castelo)
– Paulo Quaresma (Universidade de Évora)
– Tiago Oliveira (Universidade Sokendai, Japão)


O Prémio da Associação Portuguesa para a Inteligência Artificial para a Melhor Tese de Doutoramento em Inteligência Artificial 2017-2018 foi atribuído a Fernando Pedro Pascoal dos Santos, com o trabalho Dynamics of Reputation and the Self‐organization of Cooperation.


Foi decidido ainda atribuir duas menções honrosas:

– João Miguel Ribeiro Carneiro, com o trabalho Negotiation in Group Decision Support Systems – An Approach based in Argumentation and Satisfaction.

– Jorge Miguel Carvalho Gomes, com o trabalho Novel Approaches to Cooperative Coevolution of Heterogeneous Multiagent Systems.

O prémio e menções honrosas foram oficialmente entregues aos candidatos vencedores (ou seus representantes) durante o jantar da  conferência 19th EPIA Conference on Artificial Intelligence (EPIA 2019), dia 5 Setembro de 2019 em Vila Real.

 

Os melhores cumprimentos,

 César Analide, Universidade do Minho

Goreti Marreiros, Instituto Politécnico do Porto

Francisco Pereira, Instituto Politécnico de Coimbra

(Organizadores do Prémio)

————————————————————————–
ISEP/IPP – Engineering Institute – Polytechnic of Porto
Director of GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development
Vice-president of APPIA the Portuguese Association for Artificial Intelligence
Rua Dr. António Bernardino de Almeida, 431; 4200-072 Porto – Portugal
Email: mgt@isep.ipp.pt ; gormarreiros@gmail.com
Web: www.gecad.isep.ipp.pt
Phone: +351-22-8340511
Fax: +351-22-8321159







[rede.APPIA] CFP: DATA STREAMS TRACK – ACM SAC 2020 (Submission deadline: September 15, 2019)

Carlos Manuel Abreu Gomes Ferreira

*ACM Symposium on Applied Computing *
The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic
March 30 – April 3, 2020
www.sigapp.org/sac/sac2020/
*Data Streams Track *
www.cs.waikato.ac.nz/~abifet/SAC2020/

*Call for Papers *
The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.
*TOPICS OF INTEREST *
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
* Real-Time Analytics
* Big Data Mining
* Data Stream Models
* Large Scale Machine Learning
* Languages for Stream Query
* Continuous Queries
* Clustering from Data Streams
* Decision Trees from Data Streams
* Association Rules from Data Streams
* Decision Rules from Data Streams
* Bayesian Networks from Data Streams
* Neural Networks for Data Streams
* Feature Selection from Data Streams
* Visualization Techniques for Data Streams
* Incremental on-line Learning Algorithms
* Single-Pass Algorithms
* Temporal, spatial, and spatio-temporal data mining
* Scalable Algorithms
* Real-Time and Real-World Applications using Stream data
* Distributed and Social Stream Mining
* Urban Computing, Smart Cities
* Internet of Things (IoT)
*IMPORTANT DATES (strict) *
1. Paper Submission: September 15, 2019
2. Author Notification: November 10, 2019
3. Camera‐ready copies: November 25, 2019

*PAPER SUBMISSION GUIDELINES *
Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: www.acm.org/sigs/pubs/proceed/template.html
Important notice:
1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.
If you encounter any problems with your submission, please contact the Program Coordinator.

Carlos Ferreira
[http://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>