- Fecha(s): 23/02/2021
- Lugar: Seminarios online CIO: http://cio.edu.umh.es/seminariosonline/
- Ponente: Jordi Pons i Puig (Dolby Laboratories) : https://github.com/jordipons/musicnn
A brief review of the state-of-the-art in music informatics research and deep learning reveals that such models achieved competitive results for several music-related tasks. In this talk I will provide insights in which deep learning architectures are (according to our experience) performing the best for audio classification. To this end, I will first introduce a…
- Fecha(s): 08/02/2021
- Lugar: Seminarios online CIO: http://cio.edu.umh.es/seminariosonline/
- Ponente: Magdalena Kapelko (Wroclaw University of Economics and Business in Poland)
One of themajor challenges in the research on corporate social responsibility (CSR) isthe aggregation of the CSR metrics into overall measures of CSR practices byfirms. The paper computes composite indicators of CSR from an efficiencyperspective using data envelopmentanalysis (DEA) for a sample of international food and beveragemanufacturing firms over the period 2011-2018. The study’s contributions…
- Fecha(s): 07/12/2020
- Lugar: Seminarios online CIO: meet.google.com/tiy-qjcj-wfo
- Ponente: Dolores Romero Morales, Copenhagen Business School, Denmark
There is a growing literature on enhancing the interpretability of Machine Learning methods involved in Data Driven Decision Making. Interpretability is desirable for non-experts; it is required by regulators for models aiding, for instance, credit scoring; and since 2018 the European Union has extended this requirement by imposing the so-calledright-to-explanation in algorithmic decision making. Mathematical…
- Fecha(s): 09/11/2020
- Lugar: Seminarios online CIO: meet.google.com/tiy-qjcj-wfo
- Ponente: Laureano F. Escudero, Universidad Rey Juan Carlos, Móstoles (Madrid)
Very frequently, mainly in dynamic problems,some data is uncertain at the decision-making time, although some information is already available. The mathematical optimization models under uncertainty, so-named stochastic optimization ones structure the uncertainty in a set of representative scenarios. The stochastic Risk Neutral (RN) models aim to obtaining a feasible solution for the scenario-based constraint system…
- Fecha(s): 19/10/2020
- Lugar: SEMINARIOS ONLINE CIO-UMH: meet.google.com/jre-fksk-jqw
- Ponente: Dae-Jin Lee (Centro Vasco de Matemática Aplicada, BCAM)
En esta charla se introducirá un campo emergente como es la ciencia de datos en el deporte y su creciente relevancia en el rendimiento deportivo, la prevención de lesiones o el análisis técnico-táctico en deportes de equipo. Se plantearán una serie de cuestiones importantes relacionadas con esta nueva profesión y la ciencia detrás de la…
- Fecha(s): 13/10/2020
- Lugar: SEMINARIOS ONLINE CIO-UMH: meet.google.com/nmp-coyi-jva
- Ponente: Virgilio Gómez Rubio (Universidad de Castilla-La Mancha)
La pandemia de la COVID-19 ha puesto de manifiesto la necesidad de contar con sistemas de información epidemiológicos robustos que puedan ayudar en el análisis de datos para la toma de decisiones. Además, de almacenar y gestionar la información, un buen sistema de información epidemiológico debe ser capaz de explotar esa información para realizar análisis…
- Fecha(s): 06/07/2020
- Lugar: SEMINARIOS ONLINE CIO (UMH): http://cio.edu.umh.es/seminariosonline/ (Se grabará)
- Ponente: Laureano Escudero Bueno, Catedrático de Estadística e Investigación Operativa, Universidad Rey Juan Carlos, Madrid
- Porconfirmar: 1
Very frequently, mainly in dynamic problems,some data is uncertain at the decision-making time, although some informationis already available. The mathematical optimizationmodels under uncertainty, so-named stochastic optimization ones structurethe uncertainty in a set of representative scenarios. The stochastic RiskNeutral (RN) models aim to obtaining a feasible solution for the scenario-basedconstraint system that, say, maximizes the expected…
- Fecha(s): 15/06/2020
- Lugar: SEMINARIOS ONLINE CIO (UMH): http://cio.edu.umh.es/seminariosonline/ (Se grabará)
- Ponente: Marco A. López Cardá, Catedrático de Estadística e Investigación Operativa, (Universidad de Alicante.
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 herramienta fundamental, en todas las ciencias (incluidas las sociales) y ramas de la tecnología. Nos detendremos en temas específicos en los…
- Fecha(s): 01/06/2020
- Lugar: SEMINARIOS ONLINE CIO (UMH): http://cio.edu.umh.es/seminariosonline/ (Se grabará)
- Ponente: Joscea Krause, Universität Trier.
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 exploit the functional relation between the area statistic and contextually related covariate data to make predictions for the quantities of interest. An important assumption of this methodologyis that…
- Fecha(s): 18/05/2020
- Lugar: SEMINARIOS ONLINE CIO (UMH): http://cio.edu.umh.es/seminariosonline/ (Se grabará)
- Ponente: Daniel Santín, Universidad Complutense de Madrid.
The main objective of this paper is to propose a tool for measuring the productivity and performance gaps across a set of Decision Making Units (DMUs)for monitoring their evolution and analyzing their components over time. To do this, we use the approach proposed by Aparicio and Santín (2018), which isgrounded on a base-group base-period productivity…
