{"id":4603,"date":"2018-01-19T10:36:27","date_gmt":"2018-01-19T09:36:27","guid":{"rendered":"http:\/\/161.116.26.48\/investigadores\/grupos-tecnio\/candidat-data-scienceub\/"},"modified":"2023-11-15T09:53:59","modified_gmt":"2023-11-15T07:53:59","slug":"candidat-data-scienceub","status":"publish","type":"page","link":"https:\/\/www.fbg.ub.edu\/es\/investigadores\/grupos-tecnio\/candidat-data-scienceub\/","title":{"rendered":"Data Science@UB"},"content":{"rendered":"<p>El grup DataScience@UB \u00e9s un grup de recerca universitari de car\u00e0cter multidisciplinari en l\u2019\u00e0mbit de les tecnologies de l\u2019aprenentage autom\u00e0tic o <em>machine learning<\/em> i la ci\u00e8ncia de dades. El nostre objectiu principal \u00e9s donar resposta als reptes a qu\u00e8 han de fer front les organitzacions a causa de la generaci\u00f3 massiva de dades, i ho fem tant des del punt de vista tecnol\u00f2gic com des del punt de vista cient\u00edfic i social. Som especialistes en ci\u00e8ncia de dades, una disciplina clau en la transformaci\u00f3 digital que consisteix a generar i interpretar autom\u00e0ticament informaci\u00f3 a gran escala, i ho abordem tant des del vessant matem\u00e0tic i algor\u00edtmic com des del vessant metodol\u00f2gic.<\/p>\n<h3><strong>ACTIVITAT I OFERTA TECNOL\u00d2GICA<\/strong><\/h3>\n<p>Proporcionem coneixement i aportem eines predictives i d&#8217;an\u00e0lisi que permeten als nostres clients desenvolupar el seu negoci de manera intel\u00b7ligent mitjan\u00e7ant l\u2019optimitzaci\u00f3 de l\u2019\u00fas de les dades. Els nostres projectes d\u2019R+D+I col\u00b7laborativa, de consultoria i d\u2019accions formatives proporcionen a les empreses solucions per optimitzar els seus processos en els entorns digital, de la salut, de la banca i les assegurances, dels m\u00e8dia i de l\u2019Administraci\u00f3.<\/p>\n<ul>\n<li><strong>Entorn digital: <\/strong>oferim solucions de monitoritzaci\u00f3 i an\u00e0lisi de xarxes socials per detectar tend\u00e8ncies, mesurar la reputaci\u00f3 <em>online<\/em>, predir CTR i sistemes de recomanaci\u00f3.<\/li>\n<li><strong>Entorn de la salut: <\/strong>apliquem t\u00e8cniques d\u2019anal\u00edtica avan\u00e7ada (visi\u00f3 per computador, aprenentatge autom\u00e0tic) per a la presa de decisions cl\u00edniques i per millorar els processos en mat\u00e8ria de prevenci\u00f3, diagn\u00f2stic, tractament i seguiment (segmentaci\u00f3 de pacients i alertes sanit\u00e0ries).<\/li>\n<li><strong>Entorn de l\u2019experi\u00e8ncia del client: <\/strong>fem servir t\u00e8cniques que ens permeten con\u00e8ixer el comportament de l\u2019usuari i prendre decisions estrat\u00e8giques de negoci (campanyes efectives de m\u00e0rqueting).<\/li>\n<li><strong>Entorn dels recursos humans: <\/strong>desenvolupem eines digitals que permeten analitzar les organitzacions i millorar-ne els processos.<\/li>\n<li><strong>Entorn de finances: <\/strong>analitzem les dades i proposem solucions adaptades a les necessitats del client, per tal d\u2019oferir-li nous productes i un millor servei.<\/li>\n<li><strong>Entorn industrial: <\/strong>desenvolupem algorismes d\u2019an\u00e0lisi de dades i sistemes de visi\u00f3 per computador dirigits a l\u2019optimitzaci\u00f3 i automatitzaci\u00f3 de processos.<\/li>\n<\/ul>\n<h3><strong>PUBLICACIONS RELLEVANTS <\/strong><\/h3>\n<ul>\n<li>Carpi, L.C., Schieber, T.A., Pardalos, P.M.\u00a0et al.\u00a0Assessing diversity in multiplex networks.\u00a0Sci Rep\u00a09,\u00a04511 (2019).<\/li>\n<li>Perell\u00f3, A.Cigarini, J.Vicens, I.Bonhoure, D.Rojas-Rueda, M.J. Nieuwenhuijsen, M.Cirach, C.Daher, J.Targa, A.Ripoll, Large-scale citizen science provides high-resolution nitrogen dioxide values and health impact while enhancing community knowledge and collective action, Science of The Total Environment,Volume 789, 2021.<\/li>\n<li>Diaz, K. Kushibar, R. Osuala, A. Linardos, L. Garrucho, L. Igual, P. Radeva, F. Prior, P. Gkontra, K. Lekadir, Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools, Physica Medica, Volume 83, 2021.<\/li>\n<li>Mur, J.Vitri\u00e0.\u00a0What\u2019s on the telly? Causality for recommender systems in public-service media corporations, Causal Data Science Meeting 2021, November 15\u201316, 2021.<\/li>\n<li>Laiz, P., Vitri\u00e0, J., Wenzek, H., Malagelada, C., Azpiroz, F., &amp; Segu\u00ed, S. (2020).\u00a0WCE polyp detection with triplet based embeddings. Computerized Medical Imaging and Graphics, 86, 101794.<\/li>\n<li>Unceta I, Nin J, Pujol O (2020) Risk mitigation in algorithmic accountability: The role of machine learning copies. PLoS ONE 15(11)<\/li>\n<li>Vila M..M., Remeseiro B., Grau M., Elosua R., Igual L. (2022) Last Advances on Automatic Carotid Artery Analysis in Ultrasound Images: Towards Deep Learning. In: Lim CP., Vaidya A., Jain K., Mahorkar V.U., Jain L.C. (eds) Handbook of Artificial Intelligence in Healthcare. Intelligent Systems Reference Library, vol 211. Springer.<\/li>\n<li>Rastgoo, R., Kiani, K. &amp; Escalera, S. Real-time isolated hand sign language recognition using deep networks and SVD.\u00a0<em>J Ambient Intell Human Comput<\/em>(2021).<\/li>\n<\/ul>\n<h3><strong>PROJECTES RELLEVANTS <\/strong><\/h3>\n<ul>\n<li><strong>Publicaci\u00f3 intel\u00b7ligent de continguts audiovisuals i editorials (PICAE)<\/strong> COMRDI18-1-0007-02 Convocat\u00f2ria per a l&#8217;any 2018 per a l&#8217;acreditaci\u00f3 de comunitats PIS3CAT i la selecci\u00f3 de projectes col\u00b7laboratius de recerca, desenvolupament i innovaci\u00f3, emmarcats en els \u00e0mbits de la RIS3CAT de les ind\u00fastries del disseny o les ind\u00fastries culturals i basades en l&#8217;experi\u00e8ncia, i en el Programa Operatiu FEDER de Catalunya 2014-2020 (2019-2021).<\/li>\n<li><strong>LOOMING FACTORY<\/strong> Convocat\u00f2ria per a l&#8217;assignaci\u00f3 de cofinan\u00e7ament procedent del Fons Europeu de Desenvolupament Regional (FEDER) a agrupacions de tecnologies emergents per a la realitzaci\u00f3 de projectes de valoritzaci\u00f3 i transfer\u00e8ncia de resultats de recerca (2019-2021).<\/li>\n<li><strong>LogMeal&#8217;s SmartTray: Self-checkout system for self-service restaurants<\/strong> Ajuts per a projectes de valoritzaci\u00f3 i transfer\u00e8ncia de coneixement desenvolupats per innovadors en estades en entitats del sistema de recerca i innovaci\u00f3 de Catalunya (INNOVADORS) (2020-2022).<\/li>\n<li><strong>Validation of an Innovative Dietary Intake Tool for Healthcare Implementation (VALIDITHI)<\/strong> KIC Health 2020 (2020).<\/li>\n<li><strong>Innovative benchmarking approaches to improve COmputational METHods for big data analysis in Health (COMETH)<\/strong> KIC Health 2020 (2020).<\/li>\n<li><strong>Greenhabit365<\/strong> EIT Digital 2020 (2020).<\/li>\n<li><strong>VIPO customers profiling system to improve the buying experience<\/strong> EIT Digital 2020 (2020).<\/li>\n<li><strong>Co-designing Citizen Social Science for Collective Action (CoAct)<\/strong> HORIZON 2020 (2014-2020). SCIENCE WITH AND FOR SOCIETY (H2020-SWAFS-2018-2020) (2020-2022).<\/li>\n<li><strong>Empathic, Expressive, Advanced Virtual Coach to Improve Independent Healthy-Life-Years of the Elderly (EMPATHIC)<\/strong> HORIZON 2020 (2014-2020). P3. SC1: PERSONALISED MEDICINE (H2020-SC1-2016-2017) (2019-2021).<\/li>\n<li><strong>Territories as Responsive and Accountable Networks of S3 through new Forms of Open and Responsible decision-Making (TRANSFORM)<\/strong> HORIZON 2020 (2014-2020). SCIENCE WITH AND FOR SOCIETY (H2020-SWAFS-2018-2020) (2020-2022).<\/li>\n<li><strong>Estudio de din\u00e1micas no lineales en redes complejas multicapa bajo incertidumbre estructural<\/strong> PGC2018-094754-B-C22 Convocat\u00f2ria d&#8217;ajuts del Programa Estatal de Foment de la Investigaci\u00f3 Cient\u00edfica i T\u00e8cnica d&#8217;Excel\u00b7l\u00e8ncia. Subprograma Estatal de generaci\u00f3 del coneixement. Modalitat Projectes d&#8217;R+D de Generaci\u00f3 del Coneixement (2019-2021).<\/li>\n<li><strong>F\u00edsica estad\u00edstica para ciudades: modeles estoc\u00e1sticos y experimentos p\u00fablicos<\/strong> PID2019-106811GB-C33 Convocat\u00f2ria d&#8217;ajuts del Programa Estatal de Foment de la Investigaci\u00f3 Cient\u00edfica i T\u00e8cnica d&#8217;Excel\u00b7l\u00e8ncia. Subprograma Estatal de generaci\u00f3 del coneixement. Modalitat Projectes d&#8217;R+D de Generaci\u00f3 del Coneixement (2020-2023).<\/li>\n<li><strong>Explicaciones autom\u00e1ticas trans-dominio en visi\u00f3n por computador para la comprensi\u00f3n del comportamiento humano<\/strong> PID2019-105093GB-I00 Convocat\u00f2ria d&#8217;ajuts del Programa Estatal de Foment de la Investigaci\u00f3 Cient\u00edfica i T\u00e8cnica d&#8217;Excel\u00b7l\u00e8ncia. Subprograma Estatal de generaci\u00f3 del coneixement. Modalitat Projectes d&#8217;R+D de Generaci\u00f3 del Coneixement (2020-2023).<\/li>\n<\/ul>\n<p>Data Science@UB<br \/>\nJordi Vitri\u00e0<br \/>\n93 402 08 55<br \/>\n<a href=\"ma&#105;&#108;&#116;&#x6f;&#x3a;&#x6a;&#x6f;&#x72;di&#46;&#118;&#105;&#x74;&#x72;&#x69;&#x61;&#x40;ub&#46;&#101;&#100;&#x75;\" target=\"_blank\" rel=\"noopener\">j&#111;&#114;&#x64;&#x69;&#x2e;&#x76;i&#116;&#114;&#105;&#x61;&#x40;&#x75;b&#46;&#101;&#100;&#x75;<\/a><br \/>\n<a href=\"http:\/\/datascience.barcelona\/\">www.ub.edu\/datascience\/<\/a><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-4547\" src=\"http:\/\/www.fbg.ub.edu\/wp-content\/uploads\/2018\/01\/tecnio2016-380x90.png\" alt=\"\" width=\"380\" height=\"90\" srcset=\"https:\/\/www.fbg.ub.edu\/wp-content\/uploads\/2018\/01\/tecnio2016-380x90.png 380w, https:\/\/www.fbg.ub.edu\/wp-content\/uploads\/2018\/01\/tecnio2016.png 582w\" sizes=\"auto, (max-width: 380px) 100vw, 380px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>El grup DataScience@UB \u00e9s un grup de recerca universitari de car\u00e0cter multidisciplinari en l\u2019\u00e0mbit de les tecnologies de l\u2019aprenentage autom\u00e0tic&#8230;<\/p>\n","protected":false},"author":2,"featured_media":4588,"parent":1473,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-grupstecnio.php","meta":{"_acf_changed":false,"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-4603","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/pages\/4603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/comments?post=4603"}],"version-history":[{"count":9,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/pages\/4603\/revisions"}],"predecessor-version":[{"id":17465,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/pages\/4603\/revisions\/17465"}],"up":[{"embeddable":true,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/pages\/1473"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/media\/4588"}],"wp:attachment":[{"href":"https:\/\/www.fbg.ub.edu\/es\/wp-json\/wp\/v2\/media?parent=4603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}