Novedades

data

Seminario 21/7: Mikel Sesma (Universidad de Navarra): Directional monotonicity and related concepts in the context of data aggregation

In the field of Information Fusion, and, more particularly, data aggregation, the process of aggregation deals with the problem of finding a single number that is able to represent an input of n numbers. In this framework, there is a trend towards relaxing the monotonicity conditions that are often required so that a function can…

epidemia

Seminario 21/6: Hassan Aly (Ohio State University). The positive impact of COVID-19: Economic, social and environmental

While all research and data collections in the past year has been focused on the damaging impact of Covid19 on the national and international level, as an unprecedented phenomenon that is greater in its negative magnitude than the great depression of 1929-33, this project is centered around the other side of the coin. We will…

bivariate

Seminario 21/5: Domingo Morales (UMH) Mejor predicción empírica de parámetros bivariados de áreas pequeñas

La charla introduce predictores óptimos empíricos de parámetros bivariados de área pequeña, como razones de sumas o sumas de razones, asumiendo que el vector objetivo a nivel de unidad sigue un modelo de regresión de errores anidados bivariados. Los correspondientes errores cuadráticos medios se estiman mediante bootstrap paramétrico. Varios experimentos de simulación estudian empíricamente el…

burbano

Defensa de Tesis Doctoral: «Ensayos de crimen, conflicto y asuntos electorales: análisis económico para Colombia»

El jueves 18 de febrero, a las 15:30 h. tuvo lugar el acto de defensa de la tesis doctoral realizada por Enrique J. Burbano Valencia bajo la dirección de los doctores Josep E. Peris Ferrando y Marcello Sartarelli, con el título «Ensayos de crimen, conflicto y asuntos electorales: análisis económico para Colombia». La tesis recibió la calificación de Sobresaliente, por unanimidad de…

descarbonization

Seminario 21/4: Jordi Pons i Puig (Dolby Laboratories): Deep learning architectures for music audio classification: a personal (re)view

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…

developing

Seminario 21/3: Otaviano Canuto (Policy Center for the New South) – Lost in transition: developing countries in the global economy

The growth and productivity performance of emerging market and developing economies since the 2008 global financial crisis failed to repeat the achievements of the previous decade. Besides frustrating expectations that they might become the new growth pole in the global economy, their convergence to per capita incomes of advanced economies has suffered a setback. Nonetheless,…