Exploració per autor "Cortés García, Claudio Ulises"
Ara es mostren els items 87-106 de 141
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Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia
Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Catala Roig, Neus; Cortés García, Claudio Ulises; Viñas, Ferran; Tarragó Bofarull, Josep; Rojo, Emilio; Nowak, Rafal (Elsevier, 2016-08-02)
Article
Accés obertThe current wide access to data from different neuroimaging techniques has permitted to obtain data to explore the possibility of finding objective criteria that can be used for diagnostic purposes. In order to decide which ... -
Learning to solve complex tasks by reinforcement: a new algorithm
Martín Muñoz, Mario; Cortés García, Claudio Ulises (1995-04)
Report de recerca
Accés obertIn this paper, a new approach for learning to solve complex problems by reinforcement is proposed. In order to solve complex tasks the system is guided by a teacher who previously proposes intermediate general tasks to ... -
Legal concerns regarding AmI assisted living in the elderly, worldwide and in Romania
Annicchiarico, Roberta; Cortés García, Claudio Ulises; Spiru, Luiza; Stefan, Lucian; Turcu, Ileana; Ghita, Camelia; Ioancio, Ioana; Nuta, Costin; Blaciotti, Mona; Martin, Mariana (Springer Verlag, 2009-06-10)
Text en actes de congrés
Accés restringit per política de l'editorialThe recent concepts developed in order to meet the specific technology-related needs of older people are “Ambient Intelligence” and "Ambient Assisted Living". The major aim of AmI is to prolong the time older people can ... -
Link prediction in very large directed graphs: Exploiting hierarchical properties in parallel
Garcia Gasulla, Dario; Cortés García, Claudio Ulises (CEUR-WS.org, 2014)
Text en actes de congrés
Accés obertLink prediction is a link mining task that tries to find new edges within a given graph. Among the targets of link prediction there is large directed graphs, which are frequent structures nowadays. The typical sparsity of ... -
LINNEO+: a classification methodology for ill-structured domains
Béjar Alonso, Javier; Cortés García, Claudio Ulises; Poch, Manel (1993-04)
Report de recerca
Accés obertIn this work we present a methodology oriented to domains with a weak structure (ill-domains) for, using inductive conceptual learning techniques (descriptive generalization) and classification, discover concepts through ... -
Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat
Martín Muñoz, Mario; Béjar Alonso, Javier; Espósito, Gennaro; Chávez, Diógenes; Contreras-Hernández, Enrique; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2017-05-01)
Article
Accés obertIn a previous study we developed a Machine Learning procedure for the automatic identification and classification of spontaneous cord dorsum potentials (CDPs). This study further supported the proposal that in the anesthetized ... -
Metodología KDSM para el estudio de dominios poco estructurados donde se presentan medidas seriadas muy cortas repetidas con factor de bloque
Rodas, Jorge; Alvarado, Gabriela; Gibert, Karina; Rojo, Emilio; Cortés García, Claudio Ulises (2003-02)
Report de recerca
Accés obertEl presente documento representa 2 años de trabajo con técnicas de inteligencia artificial y estadística para el análisis de medidas seriadas muy cortas repetidas. Grandes cantidades de datos se almacenan diariamente debido ... -
Modeling argumentation based semantics using non-monotonic reasoning
Nieves, Juan Carlos; Cortés García, Claudio Ulises; Osorio Galindo, Mauricio (2005-12)
Report de recerca
Accés obertArgumentation theory is an alternative style of formalizing non-monotonic reasoning. It seems, argumentation theory is a suitable framework for practical and uncertain reasoning, where arguments support conclusions. Dung's ... -
Neuropsychological impairment in post-COVID condition individuals with and without cognitive complaints
Ariza, Mar; Cano, Neus; Segura Fàbregas, Bàrbara; Adan Puig, Ana; Bargalló Alabart, Núria; Caldú Ferrús, Xavier; Campabadal Delgado, Anna; Jurado Luque, Maria Àngels; Mataro Serrat, Maria; Pueyo Benito, Roser; Sala Llonch, Roser; Barrué Subirana, Cristian; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Junqué Plaja, Carme; Garolera Freixa, Maite (Frontiers Media, 2022-10-20)
Article
Accés obertOne of the most prevalent symptoms of post-COVID condition is cognitive impairment, which results in a significant degree of disability and low quality of life. In studies with large sample sizes, attention, memory, and ... -
Normal versus pathological cognitive aging: variability as a constraint of patients profiling for AmI design
Annicchiarico, Roberta; Cortés García, Claudio Ulises; Spiru, Luiza; Ghita, Camelia; Turcu, Ileana; Stefan, Lucian; Ioancio, Ioana; Nuta, Costin; Blaciotti, Mona; Martin, Mariana (Springer Verlag, 2009-06-10)
Text en actes de congrés
Accés restringit per política de l'editorialThe development of supportive environments and Assistive Technology (AT) is a priority recommended by the International Plan of Action on Ageing (Madrid 2002). The first essential matter related to the creation and implementation ... -
On the behavior of convolutional nets for feature extraction
Garcia-Gasulla, Dario; Parés Pont, Ferran; Vilalta Arias, Armand; Moreno, Jonatan; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Cortés García, Claudio Ulises; Suzumura, Toyotaro (2018-03)
Article
Accés obertDeep neural networks are representation learning techniques. During training, a deep net is capable of generating a descriptive language of unprecedented size and detail in machine learning. Extracting the descriptive ... -
On the representativeness of convolutional neural networks layers
García Gasulla, Darío; Moreno, Jonatan; Ramos-Pollan, Raúl; Casadiegos Barrios, Romel; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Suzumura, Toyotaro (IOS PRESS EBOOKS, 2016)
Capítol de llibre
Accés obertConvolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative ... -
Overground walking training with the i-Walker, a robotic servo-assistive device, enhances balance in patients with subacute stroke: a randomized controlled trial
Morone, Giovanni; Annicchiarico, Roberta; Iosa, Marco; Federici, Alessia; Paolucci, Stefano; Cortés García, Claudio Ulises; Caltagirone, Carlo (2016-05-26)
Article
Accés obertBackground: Patients affected by mild stroke benefit more from physiological overground walking training than walking-like training performed in place using specific devices. The aim of the study was to evaluate the effects ... -
Predicting wind energy generation with recurrent neural networks
Manero Font, Jaume; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Springer, 2018)
Text en actes de congrés
Accés obertDecarbonizing the energy supply requires extensive use of renewable generation. Their intermittent nature requires to obtain accurate forecasts of future generation, at short, mid and long term. Wind Energy generation ... -
Probabilistic conditional independence: a similarity-based measure and its application to causal network learning
Sangüesa i Sole, Ramon; Cabós, Joan; Cortés García, Claudio Ulises (1996-06)
Report de recerca
Accés obertA new definition for similarity between possibility distributions is introduced and discussed as a basis for detecting dependence between variables by measuring the similarity degree of their respective distributions. This ... -
ProCLAIM: An argument-based model for monitoring decisions and revising guidelines knowledge in safety-critical environments
Tolchinsky Landsmann, Francisco; Cortés García, Claudio Ulises (2006-06)
Report de recerca
Accés obertIn this report we describe an argument-based model - ProCLAIM - for monitoring agents' decisions in safety-critical environments intended, on the one hand, to prevent agents from undertaking decisions that do not comply ... -
Protección de datos médicos e Internet
Cortés García, Claudio Ulises; Vázquez Salceda, Javier; López-Navidad, Antonio (2001-04)
Report de recerca
Accés obertThis report presents a discussion of the adventages electronic clinical data gives, not only to the medical staff (helping them to get more accurate data about their patients) but also to the patient (receiving a better ... -
Random forest as a tumour genetic marker extractor
Pérez Arnal, Raquel Leandra; Garcia Gasulla, Dario; Torrents Rodas, David; Pares, Ferran; Cortés García, Claudio Ulises; Labarta Mancho, Jesús José; Ayguadé Parra, Eduard (IOS Press, 2019)
Text en actes de congrés
Accés obertFinding tumour genetic markers is essential to biomedicine due to their relevance for cancer detection and therapy development. In this paper, we explore a recently released dataset of chromosome rearrangements in 2,586 ... -
Razonamiento inductivo: un caso de razonamiento no monótono
Núñez Esquer, Gustavo; Cortés García, Claudio Ulises (1990)
Report de recerca
Accés obertEn este trabajo se propone una nueva aproximación a la formalización del razonamiento inductivo, caracterizándolo como una forma de razonamiento no monótono y definiendo las conclusiones inductivas que se obtienen de un ... -
Reasoning about actions for the management of Urban Wastewater System: preliminary report
Nieves Sánchez, Juan Carlos; Aulinas, Montse; Cortés García, Claudio Ulises (IOS PRESS-ECSC, BRUXELLES, 2009-10-01)
Text en actes de congrés
Accés restringit per política de l'editorialIt is well-known that the management of Urban Wastewater Systems (UWS) is a complex and critical process. To decide which is the correct sequence of actions for managing a given circumstance it is necessary a sophisticated ...