Loading...
218 results
Search Results
Now showing 1 - 10 of 218
- IV International Conference on Optimization, Learning Algorithms and Applications: Book of AbstractsPublication . Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Oneto, Luca; Pacheco, Maria F.; Lopes, Rui PedroWelcome to OL2A 2025 - International Conference on Optimization, Learning Algorithms and Applications. OL2A offers a forum for the research community on optimization and learning to get together and share the latest developments and techniques, as well as to develop new paths and collaborations. OL2A provides a broad scope of presentations, covering many areas of optimization and learning and state-of the-art applications to multi-objective optimization, optimization for machine learning, machine learning for optimization, optimization and learning under uncertainty and the fourth industrial revolution. It is with great pleasure that the Organizing Committee welcomes you all to OL2A 2025!
- The artificial intelligence act: insights regarding its application and implicationsPublication . Cabrera, Beatriz M.; Luiz, Luiz E.; Teixeira, João PauloThis paper deals with Europe's Artificial Intelligence Act, the first regulation on the subject and is considered an international milestone. Therefore, the introduction provides a historical overview of legislative developments on Artificial Intelligence in Europe until the current milestone, namely the approval of the AI Act text, which is currently being amended and translated into its official publication. Afterwards, the regulation is dealt with in detail; its nuances are presented, along with the conceptualisation of artificial intelligence in the regulation and the classification of artificial intelligence systems, which is based on risks to users, together with the mechanisms created to make the regulation more efficient, specifically the Artificial Intelligence Office. Ultimately, considering the great innovation on the subject, this work presents different opinions regarding the application of the regulation, its risk-based analysis and classification, expectations and views on the possible impacts of the act on the market, thereby seeking to expose society's receptiveness to the regulation created. Therefore, based on the discussion points, it can be concluded that the regulation, which will soon be in effect, brings different feelings to citizens and members of the European market, who are still insecure about the risk-based approach used, harbouring feelings of fear about the limitation of innovation. However, at the same time, there is hope, given that regulation is necessary to guarantee safe innovation in line with the fundamental rights set out by the European Union. It can also be concluded that the approval and forthcoming publication of the act is a small step towards the challenges that will arise. It is certain that, regardless of the different opinions that exist, it is necessary to start implementing the act to analyse its effects on the market, society, politics, the economy and, above all, on innovations in artificial intelligence systems.
- Optimization, Learning Algorithms and Applications (OL2A 2024) Part IPublication . Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Lopes, Rui Pedro; Álvarez, Santiago T.This volume, CCIS 2280, contains the refereed proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications (OL2A 2024), a hybrid event held on July 24–26. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the participation of more than three hundred participants in an online and face-to-face environment throughout three days, discussing topics associated with areas such as optimization and learning and state-ofthe- art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and the 4th industrial revolution. Three special sessions were organized on the topics Learning Algorithms in Engineering Education, Optimization in the SDG context, and Optimization in Control Systems Design. The event accepted 41 papers. All papers were carefully reviewed and selected from 105 submissions. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-six countries.
- Optimization, Learning Algorithms and Applications (OL2A 2024) Part IIPublication . Pereira, Ana I.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Lopes, Rui Pedro; Álvarez, Santiago T.; Fernandes, Florbela P.This volume, CCIS 2280, contains the refereed proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications (OL2A 2024), a hybrid event held on July 24–26. OL2A provided a space for the research community on optimization and learning to get together and share the latest developments, trends and techniques as well as develop new paths and collaborations. OL2A had the participation of more than three hundred participants in an online and face-to-face environment throughout three days, discussing topics associated with areas such as optimization and learning and state-of-the- art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and the 4th industrial revolution. Three special sessions were organized on the topics Learning Algorithms in Engineering Education, Optimization in the SDG context, and Optimization in Control Systems Design. The event accepted 41 papers. All papers were carefully reviewed and selected from 105 submissions. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-six countries.
- Optimization, learning algorithms and applications: first International Conference, OL2A 2021Publication . Pereira, Ana I. (Ed.); Fernandes, Florbela P. (Ed.); Coelho, João Paulo (Ed.); Teixeira, João Paulo (Ed.); Pacheco, Maria F. (Ed.); Alves, Paulo (Ed.); Lopes, Rui Pedro (Ed.)The volume CCIS 1488 contains the refereed proceedings of the International Conference on Optimization, Learning Algorithms and Applications (OL2A 2021), an event that, due to the COVID-19 pandemic, was held online. OL2A 2021 provided a space for the research community on optimization and learning to get together and share the latest developments, trends, and techniques as well as develop new paths and collaborations. OL2A 2021 had more than 400 participants in an online environment throughout the three days of the conference (July 19–21, 2021), discussing topics associated to areas such as optimization and learning and state-of-the-art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and the Fourth Industrial Revolution. Four special sessions were organized under the following topics: Trends in Engineering Education, Optimization in Control Systems Design, Data Visualization and Virtual Reality, and Measurements with the Internet of Things. The event had 52 accepted papers, among which 39 were full papers. All papers were carefully reviewed and selected from 134 submissions. All the reviews were carefully carried out by a Scientific Committee of 61 PhD researchers from 18 countries.
- Preface to 2nd International Conference on Optimization, Learning Algorithms and Applications (OL2A)Publication . Pereira, Ana I.; Andrej, Košir; Fernandes, Florbela P.; Pacheco, Maria F.; Teixeira, João Paulo; Lopes, Rui PedroThis CCIS volume 1754 contains the refereed proceedings of the Second International Conference on Optimization, Learning Algorithms and Applications (OL2A 2022), a hybrid event held during October 24–25, 2022. OL2A 2022 provided a space for the research community on optimization and learning to get together and share the latest developments, trends, and techniques, as well as to develop new paths and collaborations. The conference had more than three hundred participants in an online and face-to-face environment throughout two days, discussing topics associated with optimization and learning, such as state-of-the-art applications related to multi-objective optimization, optimization for machine learning, robotics, health informatics, data analysis, optimization and learning under uncertainty, and Industry 4.0.
- Modelação da procura turística em Portugal: regressão linear versus redes neuronais artificiaisPublication . Machado, Telmo Nuno; Teixeira, João Paulo; Fernandes, Paula OdeteNos últimos anos, dada a relevância do sector do turismo para a economia de Portugal, a modelação e previsão de séries económicas relacionadas com o turismo têm tido um crescente interesse. Assim, o principal objectivo do presente trabalho assenta no estudo comparativo entre o modelo baseado na regressão linear e o modelo baseado na tecnologia de redes neuronais artificiais. A inclusão destas duas metodologias de natureza diferente, tem como finalidade, perceber a respectiva potencialidade aplicada às características peculiares que as séries de turismo evidenciam, tais como, a sazonalidade e a tendência. Recorreu-se para o efeito à série mensal que mede a procura turística: “Dormidas Mensais Registadas nos Estabelecimentos Hoteleiros em Portugal”, para o período compreendido entre Janeiro de 1990 e Dezembro de 2008. Os modelos desenvolvidos apresentaram qualidades estatísticas e de ajustamento de precisão elevada, pelo que se procedeu à sua utilização para efeitos previsionais. Neste contexto, efectuou-se uma comparação dos resultados previstos com os reais, para os anos de 2007 e 2008, apresentando, para o período em análise, um EPAM de 4.2% e 4.1%, respectivamente para o método de regressão linear (RL) e Redes Neuronais Artificiais (RNA).
- XXX Jornadas Luso-Espanholas de Gestão Científica. Cooperação transfronteiriça: desenvolvimento e coesão territorial: livro de atas - Vol. IVPublication . Fernandes, Paula Odete (Ed.); Nunes, Alcina (Ed.); Lopes, Isabel Maria (Ed.); Pereira, João Paulo (Ed.); Teixeira, João Paulo (Ed.); Leite, Joaquim (Ed.); Alves, Jorge (Ed.); Ribeiro, Nuno A. (Ed.); Moutinho, Nuno (Ed.); Raposo, Mário Lino Barata (Ed.); Ferreira, João José (Ed.); Alves, Helena (Ed.); Leal Millán, Antonio (Ed.); Barroso Castro, Carmen (Ed.); Navarro García, Antonio (Ed.)As XXX Jornadas Luso-Espanholas de Gestão Científica (XXX JLE 2020), que tinham como tema principal ‘Cooperação transfronteiriça: desenvolvimento e coesão territorial’ decorreram entre os dias 5 e 8 de fevereiro de 2020, com a participação de mais de 270 conferencistas. Para além das mais de 200 comunicações apresentadas, envolvendo um total de 564 investigadores nacionais e internacionais, as XXXJLE 2020 contaram com a presença de alguns distintos convidados, começando no dia 6 de fevereiro na Sessão com os editores das revistas (Helena Alves, João Ferreira e António Navarro; Bernabé Escobar como moderador) e no dia 7 de fevereiro com a Mesa-Redonda onde se refletiu sobre Cooperação Transfronteiriça: Desenvolvimento e coesão territorial (Isabel Ferreira, Fernando Freire de Sousa, Raquel Rocha, João Bule, José Luis Prieto e Paula Franco; Miguel André Cabral como moderador). Foram, ainda, distinguidos 22 trabalhos científicos que apresentaram uma elevada qualidade científica. A todos, investigadores, conferencistas e convidados, se fica a dever o êxito científico das XXX Jornadas Luso Espanholas de Gestão Científica. Os quatro volumes de atas que agora se publicam são fruto da totalidade das comunicações dos investigadores apresentadas nas XXX JLE 2020, agrupadas em 19 capítulos, de acordo com a sessão paralela em que foram apresentadas, cobrindo, assim, praticamente todas as áreas das ciências empresariais: Administração Pública; Contabilidade; Desenvolvimento Regional; Docência: Metodologia e Experiências docentes; Empreendedorismo; Economia Social; Empresa Familiar; Estratégia; Ética e Responsabilidade Social; Finanças; Fiscalidade; Gestão das Organizações sem Fins Lucrativos; Gestão de Desporto; Inovação e Gestão do Conhecimento; Marketing; Organização de Empresas; Recursos Humanos; Turismo; Jovens investigadores em ciências económicas e empresariais. A Organização das XXX JLE 2020, a publicação do livro de resumos, a publicação do livro de atas são o resultado do esforço conjunto de várias pessoas e instituições. Fica aqui expresso o reconhecimento e gratidão à Presidência do Instituto Politécnico de Bragança, à Direção da Escola Superior de Tecnologia e Gestão e à Câmara Municipal de Bragança pelas condições logísticas proporcionadas e por todo o apoio recebido, à Pró-Presidência para a Comunicação do IPB e aos Serviços de Imagem do IPB, à Fundação para a Ciência e a Tecnologia e à Unidade de Investigação Aplicada em Gestão (UNIAG), a todas as entidades públicas e privadas que patrocinaram a realização das XXX JLE 2020, a todos os membros das Sessões de Abertura e de Encerramento das XXX JLE 2020, a todos os membros da Comissão Científica (Portuguesa e Espanhola), aos conferencistas, aos investigadores e aos moderadores das diferentes sessões, pela excelente qualidade dos trabalhos apresentados e pelo rigor e profundidade com que os diversos temas foram abordados e discutidos. Por último, mas não menos importante, à Comissão Organizadora e respetivo Staff por aceitarem mais este desafio e por ‘viajarem’ comigo nesta longa, árdua, mas profícua jornada e por todo o suporte desde o primeiro minuto, o meu Muito Obrigada! A finalizar e em nome da Comissão Organizadora gostaria de expressar o nosso voto final e desejar que estas Jornadas Luso-Espanholas de Gestão Científica continuem a ter todo o êxito e força que têm vindo a demonstrar, a ensinar e que proporcionem não só, momentos de reflexão e debate sobre as questões mais prementes para e no futuro, bem como a discussão de novos desafios e oportunidades de cooperação em rede, transferência e partilha de conhecimento.
- Measure and comparison of speech pause duration in subjects with disfluency speechPublication . Teixeira, João Paulo; Fernandes, Maria Goreti Antunes; Costa, Rita Alexandra Santos daThis work has lhe goal of comparing the pause duration in lhe disfluency speech and nonnal speech. Disfluency and normal sponlaneous spccch was rccordcd in a contcxl were the subjcels had to deseribe a scenc fram each othcr. 1l1C pause determin;Jtion algorithm was dcvelopcd. The automatic pause determinations allowed lhe measure of percenlage of silence along the record of several minutcs of spcech. As expecled lhese paramelers is ralher diffcrent in subjecIs with and wi thout disfluency spcech. but it do nol scems that it is proponional la lhe sevcrity of lhe disfluency.
- Acoustic characterisation of the tonic syllable in portuguesePublication . Teixeira, João Paulo; Freitas, Diamantino SilvaA particular problem for the automatic prediction of prosody in speech synthesis is the realisation of accented syllables since these are affected by many parameters and are perceptually very salient. For the Portuguese language, in Europe, a set of comprehensive quantitative characterisation data and rules is totally lacking. The present paper is intended to be a quantitative contribution to the solution of this problem. In this paper, a preliminary modelling of duration, intensity and variation of F0 in the tonic syllable will be presented. The dependencies of the model with the syllable position in the word and the word position in the phrase are also presented.