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Ignacio Rojas
Researcher at University of Granada
Publications - 334
Citations - 6315
Ignacio Rojas is an academic researcher from University of Granada. The author has contributed to research in topics: Fuzzy logic & Fuzzy control system. The author has an hindex of 36, co-authored 321 publications receiving 5459 citations. Previous affiliations of Ignacio Rojas include ETH Zurich & Helsinki University of Technology.
Papers
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Proceedings ArticleDOI
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities
Oresti Banos,Alberto Calatroni,Miguel Damas,Héctor Pomares,Ignacio Rojas,Hesam Sagha,Jose del R. Mill´n,Gerhard Tröster,Ricardo Chavarriaga,Daniel Roggen +9 more
TL;DR: A method to automatically translate a preexisting activity recognition system, devised for a source sensor domain S, so that it can operate on a newly discovered target sensor domain T, possibly of different modality is proposed.
Journal ArticleDOI
Minimising the delta test for variable selection in regression problems
TL;DR: New methodologies based on the delta test, such as tabu search, genetic algorithms and the hybridisation of them, are presented, to determine a subset of variables which is representative of a function.
Journal ArticleDOI
Online global learning in direct fuzzy controllers
TL;DR: A novel approach to achieve real-time global learning in fuzzy controllers using a one-step algorithm, which leads to an enhanced control policy thanks to the global learning performed, avoiding overfitting.
Journal ArticleDOI
Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
TL;DR: The synergy of the different paradigms and techniques combined by the presented algorithm allow to obtain very accurate models using the most significant input variables.
Journal ArticleDOI
Analysis of the Functional Block Involved in the Design of Radial Basis Function Networks
Ignacio Rojas,Héctor Pomares,J. Gonzales,José Luis Bernier,Eduardo Ros,Francisco J. Pelayo,Alberto Prieto +6 more
TL;DR: In the present contribution, the relevance and relative importance of the parameters involved in such a design are investigated by using a statistical tool, the ANalysis of the VAriance (ANOVA), and various problems of classification, functional approximation and time series estimation are analyzed.