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Seminario Online Guillem Durán

Título: Investigando síntesis de programas en Python
Ponente: Guillem Durán (Fragile Technologies, Murcia)
Organizador: José Mª Amigó
Fecha: Lunes 22 de junio a las 12:00 horas.
PINCHA AQUÍ PARA ACCEDER A LA CHARLA
ENLACE DISPONIBLE EL LUNES 22 DE JUNIO A LAS 11:30
Resumen: La síntesis de programas consiste en construir modelos predictivos combinando diferentes bloques independientes que representan funciones matemáticas. […]

Customer eXperience: A Bridge Between Service Science and Human-Computer Interaction (2020), T. Ahram et al. (Eds.): IHSED 2019, AISC 1026, pp. 385–390.

Virginica Rusu (Universidad de Playa Ancha), Cristian Rusu (Pontificia Universidad Católica de Valparaíso), Federico Botella (Universidad Miguel Hernández de Elche), Daniela Quiñones (Pontificia Universidad Católica de Valparaíso), Camila Bascur (Pontificia Universidad Católica de Valparaíso) and Virginia Zaraza Rusu (Pontificia Universidad Católica de Valparaíso).
Abstract:  User eXperience (UX) and Usability are key concepts in Human-Computer Interaction (HCI). Customer eXperience […]

Multi-objective evolutionary algorithms for a reliability location problem (2020), European Journal of Operational Research Volume 283, P. 83-93

Javier Alcaraz (University Miguel Hernández of Elche), Mercedes Landete (University Miguel Hernández of Elche), Juan F. Monge (University Miguel Hernández of Elche) and José L. Sainz-Pardo (University Miguel Hernández of Elche).
Abstract: Some location problems with unreliable facilities present two different objectives, one consisting of minimizing the opening and transportation costs if none of the facilities fail and another […]

Seminario Online Marco López

Título: Impacto social de las matemáticas
Ponente: Marco López (Universidad de Alicante)
Organizador: Juan Parra
Fecha: Lunes 15 de junio a las 12:00 horas.
PRÓXIMAMENTE ENLACE AL VÍDEO
Abstract:
En esta presentación se analizan las diferentes razones que contribuyen a que las Matemáticas se encuentren, hoy en día, en un primer plano de actualidad. Destacaríamos, en primer lugar, su presencia, como lenguaje y […]

Introducing cross-productivity: A new approach for ranking productive units over time in Data Envelopment Analysis (2020), Computers & Industrial Engineering Volume 144, 106456

Juan Aparicio (University Miguel Hernández of Elche), Lidia Ortiz (University Miguel Hernández of Elche), Jesus T. Pastor (University Miguel Hernández of Elche) and Jon M. Zabala-Iturriagagoitia (University of Deusto).
Abstract: Cross-efficiency has been developed for the evaluation of cross-sectional data in Data Envelopment Analysis. This paper extends cross-efficiency evaluation introducing the concept of cross-productivity. The extension proposed […]

Small area estimation under a measurement error bivariate Fay–Herriot model (2020), Statistical Methods & Applications

Jan Pablo Burgard  (Trier University), María Dolores Esteban (University Miguel Hernández of Elche), Domingo Morales (University Miguel Hernández of Elche) and Agustín Pérez (University Miguel Hernández of Elche).
Abstract: The bivariate Fay–Herriot model is an area-level linear mixed model that can be used for estimating the domain means of two correlated target variables. Under this model, the dependent variables are direct estimators […]

Seminario Online Jan-J. Rückmann

Título: Stabilityof C-stationary Points for Mathematical Programs with Complementarity Constraints.
Ponente:   Jan-J. Rückmann (University of Bergen)
Organizador: Juan Parra
Fecha: Lunes 8 de junio a las 12:00 horas.
PRÓXIMAMENTE ENLACE AL VÍDEO
Abstract: 
We consider the class of mathematical programs with complementarity constraints (MPCC). Under an appropriate constraint qualification of Mangasarian-Fromovitz type we present a topological and an equivalent algebraic characterization of a stronglystable C-stationary […]

Some matheuristic algorithms for multistage stochastic optimization models with endogenous uncertainty and risk management (2020), European Journal of Operational Research 285. 988–1001

[:es]Laureano F. Escudero (Rey Juan Carlos University of Madrid), M. Araceli Garín (University of País Vasco), Juan F. Monge (Miguel Hernández University of Elche) and Aitziber Unzueta (University of País Vasco).
Abstract: Two matheuristic decomposition algorithms are introduced. The first one is a Progressive Hedging type so-named Regularized scenario Cluster Progressive Algorithm. The second one is a Frank-Wolfe PH type so-named Regularized […]

Seminario Online Joscha Krause

Título: Regularized Small Area Estimation: A Framework for Robust Estimates in the Presence of Unknown Measurement Errors
Ponente:  Joscha Krause (Universität Trier)
Organizador: Domingo Morales
Fecha: Lunes 1 de junio a las 12:00 horas.
PRÓXIMAMENTE ENLANCE AL VÍDEO
Abstract: 
SAE provides stable estimates of area statistics in the presence of small samples. This is achieved by combining observations from multiple areas in suitable regression models.These models […]