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Paulo Novais

Paulo NovaisPaulo Novais is an Associate Professor with Habilitation of Computer Science at the Department of Informatics, in the School of Engineering of the University of Minho (Portugal) and a researcher at the ALGORITMI Centre in which he is the coordinator f the research group Intelligent Systems Lab, and the coordinator of the research line in “Ambient intelligence for well-being and Health Applications”. From the same university he received a PhD in Computer Science in 2003 and his Habilitation in Computer Science in 2011. He started his career developing scientific research in the field of Intelligent Systems/Artificial Intelligence (AI), namely in Knowledge Representation and Reasoning, Machine Learning and Multi-Agent Systems. His interest, in the last years, was absorbed by the different, yet closely related, concepts of Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution and the incorporation of AI methods and techniques in these fields. His main research aim is to make systems a little more smart, intelligent and also reliable. He has led and participated in several research projects sponsored by Portuguese and European public and private Institutions and has supervised several PhD and MSc students. He is the co-author of over 230 book chapters, journal papers, conference and workshop papers and books. He is the president of APPIA (the Portuguese Association for Artificial Intelligence) for 2016/2017 and member of the executive committee of the IBERAMIA (IberoAmerican Society of Artificial Intelligence). During the last years he has served as an expert/reviewer of several institutions such as EU Commission and FCT (Portuguese agency that supports science, technology and innovation). Read More Read Less

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Natural Language Analytics with Generative Large-Language Models36 %
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Intelligent Data Engineering and Automated Learning – IDEAL 202037 %
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Intelligent Data Engineering and Automated Learning – IDEAL 202036 %
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Intelligent Data Engineering and Automated Learning – IDEAL 201836 %
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Progress in Artificial Intelligence37 %
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Progress in Artificial Intelligence37 %
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Progress in Artificial Intelligence37 %
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Intelligent Data Engineering and Automated Learning – IDEAL 202437 %
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Intelligent Data Engineering and Automated Learning – IDEAL 202437 %
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Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence37 %
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Trends on Construction in the Digital Era37 %
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Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection37 %
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Ambient Intelligence – Software and Applications – 12th International Symposium on Ambient Intelligence37 %
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Trends on Construction in the Digital Era37 %
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Society with Future: Smart and Liveable Cities36 %
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Ambient Intelligence – Software and Applications37 %
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Progress in Artificial Intelligence36 %
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