R. Gavaldà

发表

Learning from Time-Changing Data with Adaptive Windowing

Ricard Gavaldà, Albert Bifet, A. Bifet, 2007, SDM.

PAC-Learning of Markov Models with Hidden State

Joelle Pineau, Doina Precup, Ricard Gavaldà, 2006, ECML.

MACHINE LEARNING FOR DATA STREAMS

Albert Bifet, Ricard Gavaldà, Bernhard Pfahringer, 2018 .

A methodology for the evaluation of high response time on E-commerce users and sales

Jordi Torres, Eduard Ayguadé, Ricard Gavaldà, 2014, Inf. Syst. Frontiers.

Automatic Detection and Banning of Content Stealing Bots for E-commerce

R. Gavaldà, J. Torres, Nicolás Poggi, 2007 .

Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization

Jordi Torres, Eduard Ayguadé, Ricard Gavaldà, 2008, 2008 International Conference on Autonomic Computing.

Self-adaptive utility-based web session management

Jordi Torres, Ricard Gavaldà, Nicolás Poggi, 2009, Comput. Networks.

An efficient closed frequent itemset miner for the MOA stream mining system

Ricard Gavaldà, Albert Bifet, Massimo Quadrana, 2013, AI Commun..

Autonomous HVAC Control, A Reinforcement Learning Approach

Myra, A. Bifet, R. Gavaldà, 2018 .

Learning Decision Trees Adaptively from Data Streams with Time Drift

A. Bifet, R. Gavaldà, Ricard Gavaldà, 2007 .

Adaptive on-line software aging prediction based on machine learning

Jordi Torres, Ricard Gavaldà, Javier Alonso, 2010, 2010 IEEE/IFIP International Conference on Dependable Systems & Networks (DSN).

Toward Energy-aware Scheduling Using Machine Learning Energy-efficient Distributed Computing Systems, First Edition. Edited toward Energy-aware Scheduling Using Machine Learning 8.1.1 Energetic Impact of the Cloud 8.1.2 an Intelligent Way to Manage

R. Gavaldà, Jordi Guitart, J. Torres, 2022 .

Predicting web application crashes using machine learning

R. Gavaldà, J. Torres, Javier Alonso, 2009 .

Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19

R. Gavaldà, J. Rello, M. Jansson, 2020, Anaesthesia Critical Care & Pain Medicine.

Non-Automatizability of Bounded-Depth Frege Proofs

Toniann Pitassi, Carlos Domingo, Maria Luisa Bonet, 1999, Proceedings. Fourteenth Annual IEEE Conference on Computational Complexity (Formerly: Structure in Complexity Theory Conference) (Cat.No.99CB36317).

Compressibility of Infinite Binary Sequences

R. Gavaldà, J. Balcázar, Montserrat Hermo, 1996, complexity, logic, and recursion theory.

CHAPTER 8 TOWARD ENERGY-AWARE SCHEDULING USING MACHINE LEARNING

R. Gavaldà, Íñigo Goiri, Jordi Guitart, 2022 .

IPF cluster analysis highlights diagnostic delay and cardiovascular comorbidities association with outcome

R. Gavaldà, N. Salord, C. Monasterio, 2021, Idiopathic interstitial pneumonias.

Idiopathic pulmonary fibrosis cluster analysis highlights diagnostic delay and cardiovascular comorbidity association with outcome

R. Gavaldà, N. Salord, C. Monasterio, 2021, ERJ Open Research.

Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices

Daniel Medina, Ricard Gavaldà, Javier Fernández, 2016, MLSA@PKDD/ECML.

Crash prediction and suspicious component determination for proactive recovery management in clustered web applications

R. Gavaldà, J. Torres, Javier Alonso, 2009 .