Výsledky vyhledávání - "62 Statistics::62L Sequential methods [Classificació AMS]"

Analysing gender equality in Barcelona through (spatiotemporal) segmentation

Autor: Montero Mercadé, Lídia, Mejía-Dorantes, Lucía, Barceló Bugeda, Jaime

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Citizens take part in different activities to satisfy their needs, to invest in their socio-economic progress, participate in social and health activities that improve their well-being. However, activity participation is influenced by many factors in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b42656cd2d6dec8ed8d897e40c53f1f8
http://hdl.handle.net/2117/371407

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SEIRD COVID-19 formal characterization and model comparison validation

Autor: Víctor García i Carrasco, Joan Garcia i Subirana, Pau Fonseca i Casas

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Applied Sciences, Vol 10, Iss 5162, p 5162 (2020)
Applied Sciences
Volume 10
Issue 15

Based on a SEIRD model (Susceptible, Exposed, Infective, Recovered and Deceased) for COVID-19 infection with a new parametrization using a high infection rate, and a low fatality, we define the model in System Dynamics, Python, and Specification and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ade28b5aedbabdb4843d09abf7f229
https://hdl.handle.net/2117/331275

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A data-driven learning method for constitutive modeling: Application to vascular hyperelastic soft tissues

Autor: Elías Cueto, David González, Francisco Chinesta, Alberto García-González

Publikováno v: Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
Materials
Volume 13
Issue 10
Materials, Vol 13, Iss 2319, p 2319 (2020)
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Materials, MDPI, 2020, 13 (10), pp.1-18. ⟨10.3390/ma13102319⟩

We address the problem of machine learning of constitutive laws when large experimental deviations are present. This is particularly important in soft living tissue modeling, for instance, where large patient-dependent data is found. We focus on two

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c0a1c39fe68f482de1865d588ffe3f
http://zaguan.unizar.es/record/89820

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Introduction to natural language understanding and chatbots

Autor: Cristino Marcos, Víctor

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

The aim of this thesis is to give an introduction to Natural Language Understanding. Many tools and language models are described along this work in order to teach a machine the ability to analyze and understand human speech. In the last chapter, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::94b0e265ba85cfb36b73451157b579b6
https://hdl.handle.net/2117/121246

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Comparación de la estimación de la volatilidad de una serie financiera, a través de la metodología del filtro de Kalman y el filtro de partículas en el contexto de los modelos de espacio-estado

Autor: Quispe Anastacio, Erick Mauricio

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Mediante un ejercicio comparativo, el objetivo del presente trabajo, es estimar la volatilidad de una serie financiera a través de dos algoritmos; el filtro de Kalman y el filtro de partículas, abordados en el contexto de los modelos de espacio de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8b85c398afdfc2a20be34f6bbc622ad2
http://hdl.handle.net/2117/118367

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A stochastic version of the strategy-based congested transit assignment model and a technique by smoothing approximations

Autor: Codina Sancho, Esteve|||0000-0002-9431-6158, Rosell Camps, Francisca|||0000-0003-3935-9267

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

This paper develops a stochastic version for the strategybased congested transit assignment problem stated by Cominetti and Correa (Trans. Sci. 35(3):250-267, 2001). As a distinctive approach, this stochastic version takes into account stochastic mea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::87b60818641ac3234943e3d199452678
https://hdl.handle.net/2117/127300

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Sample size computation for non-inferiority trials with survival endpoint and interim analyses

Autor: Alonso García, Lucia Alexandra

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

The main goal of this master thesis is to compute the sample size of the OPTIMAL study (OPTimizing Irradiation through Molecular Assessment of Lymph node), which is a non-inferiority clinical trial with survival data and two planned interim analyses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::68f640d3fd6283b49bc61347552339a4
http://hdl.handle.net/2117/118846

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Safety and efficacy of thrombectomy in acute ischaemic stroke (REVASCAT): 1-year follow-up of a randomised open-label trial

Autor: Antoni Dávalos, Erik Cobo, Carlos A Molina, Angel Chamorro, M Angeles de Miquel, Luis San Román, Joaquín Serena, Elena López-Cancio, Marc Ribó, Mónica Millán, Xabier Urra, Pere Cardona, Alejandro Tomasello, Carlos Castaño, Jordi Blasco, Lucía Aja, Marta Rubiera, Meritxell Gomis, Arturo Renú, Blanca Lara, Joan Martí-Fàbregas, Brian Jankowitz, Neus Cerdà, Tudor G Jovin, M. Ribó, E. Sanjuan, M. Rubiera, J. Pagola, A. Flores, M. Muchada, P. Meler, E. Huerga, S. Gelabert, P. Coscojuela, A. Tomasello, D. Rodriguez, E. Santamarina, O. Maisterra, S. Boned, L. Seró, A. Rovira, C. Molina, M. Millán, L. Muñoz, N. Pérez de la Ossa, M. Gomis, L. Dorado, E. López-Cancio, E. Palomeras, J. Munuera, P. García Bermejo, S. Remollo, C. Castaño, R. García-Sort, P. Cuadras, P. Puyalto, M. Hernández-Pérez, M. Jiménez, A. Martínez-Piñeiro, G. Lucente, A. Dávalos, A. Chamorro, X. Urra, V. Obach, A. Cervera, S. Amaro, L. Llull, J. Codas, M. Balasa, J. Navarro, H. Ariño, A. Aceituno, S. Rudilosso, A. Renu, J.M. Macho, L. San Roman, J. Blasco, A. López, N. Macías, P. Cardona, H. Quesada, F. Rubio, L. Cano, B. Lara, M.A. de Miquel, L. Aja, T.G. Jovin, J. Serena, L. San Román, E. Cobo, G. Albers, K. Lees, J. Arenillas, R. Roberts, M. Goyal, A.M. Demchuk, P Minhas, F Al-Ajlan, M Salluzzi, L Zimmel, S Patel, M Eesa, R. von Kummer, J. Martí-Fàbregas, B. Jankowitz, M. Salvat-Plana, M. Hernandez-Pérez

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
LANCET NEUROLOGY
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
instname
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Recercat. Dipósit de la Recerca de Catalunya

Summary Background The REVASCAT trial and other studies have shown that the neurovascular thrombectomy improves outcomes at 90 days post stroke. However, whether the observed benefit is sustained in the long term remains unknown. We report the result

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2caad4c6b4495a7c293a0996c95881ca

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Bayesian Optimization in Machine Learning

Autor: Jiménez Luna, José

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname

Bayesian optimization has risen over the last few years as a very attractive approach to find the optimum of noisy, expensive to evaluate, and possibly black-box functions. One of the fields where these functions are common is in machine-learning, wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b47799e48aa23d3733f15da2539d84d6
http://hdl.handle.net/2117/105999

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