Area

2021

Emma Segura, Jennifer Grau-Sánchez, David Sanchez-Pinsach, Myriam De-la-Cruz, Esther Duarte, Josep Lluis Arcos, & Antoni Rodríguez-Fornells (2021). Designing an app for home-based enriched Music-supported Therapy in the rehabilitation of patients with chronic stroke: a pilot feasibility study. Brain Injury. https://doi.org/10.1080/02699052.2021.1975819. [BibTeX]

Núria Correa, Jesús Cerquides, Josep Lluis Arcos, & Rita Vassena (2021). Development and validation of an Artificial Intelligence algorithm that matches a clinician ability to select the best follitropin dose for ovarian stimulation. ESHRE . [BibTeX]

Jennifer Grau-Sánchez, Emma Segura, David Sanchez-Pinsach, Preeti Raghavan, Thomas F. Münte, Anna Marie Palumbo, Alan Turry, Esther Duarte, Särkämö Särkämö, Jesus Cerquides, Josep Lluis Arcos, & Antoni Rodriguez-Fornells (2021). Enriched Music-supported Therapy for chronic stroke patients: a study protocol of a randomised controlled trial. BMC Neurology, 21. https://doi.org/10.1186/s12883-020-02019-1. [BibTeX] [PDF]

Emma Segura, Jennifer Grau-Sánchez, David Sanchez-Pinsach, Esther Duarte, Josep Lluis Arcos, & Antoni Rodríguez-Fornells (2021). Enriched music-supported therapy in the improvement of motor function and quality of life of chronic stroke patients: a pilot study. NeuroMusic VII . [BibTeX]

Núria Correa, Rita Vassena, Jesus Cerquides, & Josep Lluis Arcos (2021). Limits of conventional Machine Learning methods to predict pregnancy and multiple pregnancy after embryo transfer. Ada Valls, & Mateu Villaret (Eds.), Frontiers in Artificial Intelligence and Applications (pp In Press). IOS Press. [BibTeX]

2020

Oguz Mulayim, & Josep Lluis Arcos (2020). Fast anytime retrieval with confidence in large-scale temporal case bases. Knowledge-Based Systems, 206, 106374. https://doi.org/10.1016/j.knosys.2020.106374. [BibTeX]

2019

David Sanchez-Pinsach, Oguz Mulayim, Jennifer Grau-Sánchez, Emma Segura, Berta Juan-Corbella, Josep Lluis Arcos, Jesus Cerquides, Monique Messaggi-Sartor, Esther Duarte, & Antoni Rodriguez-Fornells (2019). Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients. Jordi Sabater-Mir, Vicenç Torra, Isabel Aguilo, & Manuel González-Hidalgo (Eds.), Frontiers in Artificial Intelligence and Applications (pp 170--175). IOS Press. https://doi.org/10.3233/FAIA190120. [BibTeX]

2018

Oguz Mulayim, & Josep Lluis Arcos (2018). Perks of Being Lazy: Boosting Retrieval Performance. Twenty-Sixth International Conference on Case-Based Reasoning . https://doi.org/10.1007/978-3-030-01081-2_21. [BibTeX]

2017

E. Ros-Cucurull, A. Xicola, R.F. Palma-Álvarez, Arturo Ribes, L. Grau-López, Lissette Lemus, Josep Lluis Arcos, & C. Roncero (2017). Electrodermal activity monitoring on inpatient detoxification unit. 30th ECNP Congress . [BibTeX]

Martin Nettling, Henrik Treutler, Jesús Cerquides, & Ivo Grosse (2017). Unrealistic phylogenetic trees may improve phylogenetic footprinting. Bioinformatics. [BibTeX]

David Sanchez-Pinsach, Josep Lluis Arcos, Sara Laxe, Montserrat Bernabeu, & Josep Maria Tormos (2017). Using community detection techniques to disc over non-explicit relationships in neurorehabilitation treatments. 20th International Conference of the Catalan Association for Artificial Intelligence (pp. 26-35). IOS Press. https://doi.org/10.3233/978-1-61499-806-8-26. [BibTeX]

2016

Martin Nettling, Hendrik Treutler, Jesús Cerquides, & Ivo Grosse (2016). Detecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information. BMC Genomics, 17, 347. https://doi.org/10.1186/s12864-016-2682-6. [BibTeX]

2013

Joan Serrà, Josep Lluis Arcos, Alejandro Garcia-Rudolph, Alberto García-Molina, Teresa Roig, & Josep Maria Tormos (2013). Cognitive prognosis of acquired brain injury patients using machine learning techniques. Int. Conf. on Advanced Cognitive Technologies and Applications (COGNITIVE) (pp. 108-113). IARIA. [BibTeX] [PDF]

2012

Josep Blat, Josep Lluis Arcos, & Sergio Sayago (2012). WorthPlay: juegos digitales para un envejecimiento saludable. LYCHNOS, 8. https://doi.org/http://www.fgcsic.es/lychnos/es_es/articulos/WorthPlay-juegos-digitales-para-un-envejecimiento-activo-y-saludable. [BibTeX]

2011

Eva Armengol (2011). Classification of Melanomas in situ using Knowledge Discovery with Explained CBR. Artificial Intelligence in Medicine, 51, 12. [BibTeX] [PDF]

Eva Armengol, Pilar Dellunde, & Carlo Ratto (2011). Lazy Learning Methods for Quality of Life Assessment in people with intellectual disabilities. CCIA-2011 (pp. 41-50). IOS Press. [BibTeX]

2009

Eva Armengol (2009). Using explanations for determining carcinogenecity in chemical compounds. International Journal on Engineering Applications of Artificial Intelligence, 22, 8. [BibTeX]

2008

Albert Fornells, Eva Armengol, Elisabet Golobardes, Susana Puig, & Josep Malvehy (2008). Experiences using clustering and generizations for knowledge discovery in melanomas domain. P. Perner (Eds.), Lecture Notes in Computer Science . Springer. [BibTeX]

2001

A. Palaudàries, Eva Armengol, & Enric Plaza (2001). Individual prognosis of diabetes long-term risks: A CBR approach. Methods of Information in Medicine, 40, 46-51. [BibTeX]

2000

Eva Armengol, A. Palaudàries, & Enric Plaza (2000). Raonament basat en Casos per Pronosticar Riscos a Llarg Termini en Pacients amb Diabetis Mellitus. Proceedings of the (pp. 209-218). [BibTeX]

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