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Jornada IA para las Personas

Programa de la Jornada «IA para las Personas»
Título: «Jornada de IA para las Personas»
 
Fecha: Martes 14 de noviembre, 11:00 a 14:00h.
 
Formato: online.

Programa: https://cio.umh.es/files/2023/11/ia-para-las-personas_programa_v3.pdf

Inscripción: https://forms.gle/MXmyCMR2m7ZVSuVD9

El registro se cerrará 30 minutos antes del inicio de la jornada.

Organizador: Alejandro Rabasa Dolado

By mquesada, ago

Mercedes Landete, Isaac Plana, José Luis Sainz-Pardo, & José María Sanchis (2023). Upgrading edges in the Graphical TSP. Computers & Operations Research, 159, 106321.

Mercedes Landete (Departamento de Estadística, Matemáticas e Informática, Universidad Miguel Hernández), Isaac Plana (Departamento de Matemáticas para la Economía y la Empresa, Universidad de Valencia), José Luis Sainz-Pardo (Departamento de Estadística, Matemáticas e Informática, Universidad Miguel Hernández) and José María Sanchis (Departamento de Matemática Aplicada, Universidad Politécnica de Valencia)
Abstract:
In this paper we present a generalization […]

By anabel.perez, ago

Paweł Pilarczyk, Grzegorz Graff, José M. Amigó, Katarzyna Tessmer, Krzysztof Narkiewicz, & Beata Graff (2023). Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate–blood pressure coupling quantified by entropy-based indices. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33.

P. Pilarcyk (Faculty of Applied Physics and Mathematics and Digital Technologies Center, Gdańsk University of Technology), G. Graff (Faculty of Applied Physics and Mathematics and BioTechMed Center, Gdańsk University of Technology), J.M. Amigó (Operations Research Center, University Miguel Hernández of Elche), K. Tessmer (Faculty of Applied Physics and Mathematics, Gdańsk University of Technology), K. Narkiewicz […]

By anabel.perez, ago

Helena Reig Gómez, María Isabel Lillo Ródenas, Luis Palmí Cabedo, María del Carmen Santiago Portero, Ángel Sánchez Barbié, Samanta Ortuño-Miquel, Laura Fuertes Kenneally, María Ajo Ferrer, Ángela Carrillo Molina, & Raquel Ajo Ferrer (2023). Análisis sociodemográfico de pacientes portadores de dispositivos cardiacos implantables que acuden a charlas de educación para la salud por enfermería especializada en arritmias (estudio educardio). Publicación Científica de la Asociación Española en Enfermería en Cardiología, XXX, 5-11.

Helena Reig Gómez (Diplomada en Enfermería, Hospital General Universitario Dr. Balmis de Alicante, Instituto de Investigación Sanitaria de Alicante, Servicio de Cardiología, Unidad de Arritmias, Enfermera de la Unidad de Arritmias; Investigadora del Grupo 3 de Investigación en patología cardiovascular, ISABIAL), María Isabel Lillo Ródenas (Diplomada en Enfermería, Hospital General Universitario Dr. Balmis de Alicante, […]

By anabel.perez, ago

Seminario CIO: Measuring the Performance of the Education Sector Using Data Envelopment Analysis

Título: Measuring the Performance of the Education Sector Using Data Envelopment Analysis

Ponente:Dovilė Stumbrienė (Universidad de Vilnius (Lituania))
Fecha y hora: 25/10/2023, 13:00
Lugar: Sala de seminarios (CIO) y online
Organizador:José Luis Ruiz Gómez
 
Abstract:
Performance measuring in education is a topic of intense debate among politicians, teachers, and other educational stakeholders. Based on recent research, the lecture provides some insights into […]

By mquesada, ago

Zhong-Xin Ma, José Valero, & Jia-Cheng Zhao (2023). Multi-valued perturbations on stochastic evolution equations driven by fractional Brownian motions. Nonlinearity, 36, 6152-6176.

Zhong-Xin Ma (Department of Mathematics, Zhejiang University of Science and Technology, Hangzhou), José Valero (Author to whom any correspondence should be addressed, Centro de Investigación Operativa, Universidad Miguel Hernández de Elche) and Jia-Cheng Zhao (School of Mathematical Sciences, Peking University, Beijing)
Abstract:
We consider a stochastic evolution inclusion having deterministic multi-valued nonlinearity and fractional Brownian motion with […]

By anabel.perez, ago

Juan Aparicio, Miriam Esteve, & Magdalena Kapelko (2023). Measuring dynamic inefficiency through machine learning techniques. Expert Systems with Applications, 228, 120417.

Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; valgrAI – Valencian Graduate School and Research Network of Artificial Intelligence), Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche) and Magdalena Kapelko (Department of Logistics. Wrocław University of Economics and Business, Komandorska)
Abstract:
This paper contributes by developing new models for assessing dynamic […]

By anabel.perez, ago

Maria D. Guillen, Juan Aparicio, & Victor J. España (2023). boostingDEA: A boosting approach to Data Envelopment Analysis in R. SoftwareX, 24, 101549.

María D. Guillén (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche) and Víctor J. España (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
boostingDEA is a new package for R that includes functions to estimate production frontiers and make ideal output predictions in […]

By anabel.perez, ago

E. Algaba, G. Márquez, J. Martínez-Lozano, & J. Sánchez-Soriano (2023). A novel methodology for public management of annual greenhouse gas emissions in the European Union. Socio-Economic Planning Sciences, 89, 101697.

E. Algaba (IMUS and Department of Applied Mathematics II, University of Seville), G. Márquez (Center for Research in Sustainable Chemistry, University of Huelva), J. Martínez-Lozano (IMUS and Department of Applied Mathematics II, University of Seville) and J. Sánchez-Soriano (R.I. Center of Operations Research (CIO), Miguel Hernández University of Elche)
Abstract:
Global warming and climate change, as a […]

By anabel.perez, ago

Jordi Castro, Laureano F. Escudero, & Juan F. Monge (2023). On solving large-scale multistage stochastic optimization problems with a new specialized interior-point approach. European Journal of Operational Research, 310, 268-285.

Jordi Castro (Department of Statistics and Operations Research, Universitat Politècnica de Catalunya, Barcelona), Laureano F. Escudero (Area of Statistics and Operations Research, Universidad Rey Juan Carlos, Móstoles, Madrid) and Juan F. Monge (Operations Research Center, University Miguel Hernández of Elche) 
Abstract:
A novel approach based on a specialized interior-point method (IPM) is presented for solving large-scale stochastic […]

By anabel.perez, ago