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