1. Special issue on pattern recognition and cognitive assistants
- Author
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Falomir, Zoe, Costa Bueno, Vicent, Plaza, Enric, Gibert, Karina|||0000-0002-8542-3509, University of Bremen, Consejo Superior de Investigaciones Científicas (España), Universitat Politècnica de Catalunya, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, and Universitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
- Subjects
Artificial intelligence ,Cognitive assistants ,Cognitive systems ,Computer science ,Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC] ,02 engineering and technology ,Operations research ,Investigació operativa ,01 natural sciences ,68 Computer science::68T Artificial intelligence [Classificació AMS] ,Bridging (programming) ,Artificial Intelligence ,Pattern recognition ,90 Operations research, mathematical programming::90B Operations research and management science [Classificació AMS] ,Machine learning ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,010306 general physics ,business.industry ,Intel·ligència artificial ,Cognitive modelling ,Intelligent decision support system ,Cognition ,Signal Processing ,Virtual tutors ,020201 artificial intelligence & image processing ,Computer Vision and Pattern Recognition ,business ,Matemàtiques i estadística::Investigació operativa::Optimització [Àrees temàtiques de la UPC] ,Software - Abstract
This special issue proposes a space for researchers to discuss the challenges of bridging pattern recognition and cognitive assistants. This bridge was travelled in both sides. From one side, how pattern recognition methods can help intelligent systems to become more cognitive. And from the other side, how cognitive models can improve pattern recognition methods so that the final system can better assist users. So, this special issue presents research work on these topics, aiming to observe their interrelations in order to create theoretical approaches, methodologies and computational tools to advance work on cognitive assistants and pattern recognition., Z. Falomir thanks the Cognitive Qualitative Descriptions and Applications (CogQDA) project funded by the University of Bremen and the YERUN Research Mobility Award (Young European Research UNiversities, second edition, 2018/2019). E. Plaza thanks the support by DIVERSIS (CSIC Intramural 201750E064). K. Gibert thanks the support of the Intelligent Data Science and Artificial Intelligence Research Center at Universitat Politecnica de Catalunya (UPC) and the grant CO-2018-23-T-00454 funded by UPC to organize the 21st CCIA in Roses (Catalonia, Spain) in October 2019.
- Published
- 2020