Exploració per autor "Gavaldà Mestre, Ricard"
Ara es mostren els items 38-57 de 90
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Detecting sentiment change in twitter streaming data
(2011)
Text en actes de congrés
Accés obertMOA-TweetReader is a real-time system to read tweets in real time, to detect changes, and to fi nd the terms whose frequency changed. Twitter is a micro-blogging service built to discover what is happening at any moment ... -
Discontinuities in recurrent neural networks
(1997-03)
Report de recerca
Accés obertThis paper studies the computational power of various discontinuous real computational models that are based on the classical analog recurrent neural network (ARNN). This ARNN consists of finite number of neurons; each ... -
Does training affect match performance? A study using data mining and tracking devices
(2016)
Comunicació de congrés
Accés obertFIFA has recently allowed the use of electronic performance and tracking systems (EPTS) in professional football competition, providing teams with novel and more accurate data. Physical performance has not yet taken much ... -
Empowering automatic data-center management with machine learning
(2013)
Comunicació de congrés
Accés restringit per política de l'editorialThe Cloud as computing paradigm has become nowadays crucial for most Internet business models. Managing and optimizing its performance on a moment-by-moment basis is not easy given as the amount and diversity of elements ... -
Empowering automatic data-center management with machine learning
(2013)
Report de recerca
Accés obertThe Cloud as computing paradigm has become nowadays crucial for most Internet business models. Managing a cloud and optimizing its performance on a moment-by-moment basis is not easy given as the amount and diversity of ... -
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers
(Elsevier, 2012-05)
Article
Accés restringit per política de l'editorialAs long as virtualization has been introduced in data centers, it has been opening new chances for resource management. Nowadays, it is not just used as a tool for consolidating underused nodes and save power; it also ... -
Enrichment of virtual screening results using induced-fit techniques
(Barcelona Supercomputing Center, 2015-05-05)
Text en actes de congrés
Accés obertThis project aims to improve the results of virtual screening and docking techniques used for drug design, using induced-fit techniques and a consensus scoring approach. -
Estrategias de diseño para las titulaciones de informática del EEES
(Asociación de Técnicos de Informática, 2007-06)
Article
Accés obertLa implantación de los títulos de Grado y Postgrado propuestos en el EEES supone el rediseño de los planes de estudios de todas las universidades europeas. De la estrategia de desarrollo utilizada para su diseño dependerá ... -
Fraud detection in energy consumption: a supervised approach
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Comunicació de congrés
Accés obertData from utility meters (gas, electricity, water) is a rich source of information for distribution companies, beyond billing. In this paper we present a supervised technique, which primarily but not only feeds on meter ... -
From training to match performance: A predictive and explanatory study on novel tracking data
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Comunicació de congrés
Accés restringit per política de l'editorialThe recent FIFA approval of the use of Electronic Performance and Tracking Systems (EPTS) during competition, has provided the availability of novel data regarding physical player performance. The analysis of this kind of ... -
Generalized Kolmogorov complexity in relativized separations
(1990-04)
Report de recerca
Accés obertWe describe several developments of a technique, due to Hartmanis, that uses Kolmogorov complexity to prove the existence of relativizations separating complexity classes. The main advantage of these proofs is that they ... -
Identifiability and transportability in dynamic causal networks
(Springer, 2017-03)
Article
Accés obertIn this paper, we propose a causal analog to the purely observational dynamic Bayesian networks, which we call dynamic causal networks. We provide a sound and complete algorithm for the identification of causal effects in ... -
Identifiability and transportability in dynamic causal networks
(2016)
Report de recerca
Accés obertIn this paper we propose a causal analog to the purely observational Dynamic Bayesian Networks, which we call Dynamic Causal Networks. We provide a sound and complete algorithm for identification of Dynamic Causal Networks, ... -
Improving adaptation and interpretability of a short-term traffic forecasting system
(2017)
Text en actes de congrés
Accés obertTraffic management is being more important than ever, especially in overcrowded big cities with over-pollution problems and with new unprecedented mobility changes. In this scenario, road-traffic prediction plays a key ... -
INFORMÀTICA 2 (Examen 2n quadrim)
(Universitat Politècnica de Catalunya, 1995-06-22)
Examen
Accés restringit a la comunitat UPC -
Interpretable prediction of mortality in liver transplant recipients based on machine learning
(Elsevier, 2022-12)
Article
Accés obertBackground: Accurate prediction of the mortality of post-liver transplantation is an important but challenging task. It relates to optimizing organ allocation and estimating the risk of possible dysfunction. Existing risk ... -
J2EE instrumentation for software aging root cause application component determination with AspectJ
(IEEE Computer Society Publications, 2010-04-23)
Text en actes de congrés
Accés obertUnplanned system outages have a negative impact on company revenues and image. While the last decades have seen a lot of efforts from industry and academia to avoid them, they still happen and their impact is increasing. ... -
Learning expressions and programs over monoids
(2001-09)
Report de recerca
Accés obertWe study the problem of learning an unknown function represented as an expression or a program over a known finite monoid. As in other areas of computational complexity where programs over algebras have been used, the ... -
Learning ordered binary decision diagrams
(1995-03)
Report de recerca
Accés obertWe study the learnability of ordered binary decision diagrams (obdds). We give a polynomial-time algorithm using membership and equivalence queries that finds the minimum obdd for the target respecting a given ordering. ... -
Learning PDFA with asynchronous transitions
(Springer, 2010)
Comunicació de congrés
Accés obertIn this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time lengths, governed by exponential distributions.
