Jerónimo Arenas-García

Orcid: 0000-0003-4071-7068

According to our database1, Jerónimo Arenas-García authored at least 87 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
ITMT: Interactive Topic Model Trainer.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022
Validation of scientific topic models using graph analysis and corpus metadata.
Scientometrics, 2022

Federated Neural Topic Models.
CoRR, 2022

2021
Combinations of Adaptive Filters.
CoRR, 2021

2020
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing.
Proceedings of the 1st Workshop on Language Technologies for Government and Public Administration, 2020

2019
Landscaping Language Technologies using Topic Modeling and Graph Analysis: Overview of the Spanish Contribution.
Proces. del Leng. Natural, 2019

Corpus Viewer: NLP and ML-based Platform for Public Policy Making and Implementation.
Proces. del Leng. Natural, 2019

2018
Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction.
IEEE Trans. Multim., 2018

Unveiling the semantic structure of text documents using paragraph-aware Topic Models.
CoRR, 2018

Improving Multikernel Adaptive Filtering with Selective Bias.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Adaptive Diffusion Schemes for Heterogeneous Networks.
IEEE Trans. Signal Process., 2017

Combined nonlinear filtering architectures involving sparse functional link adaptive filters.
Signal Process., 2017

Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Sparse Distributed Estimation via Heterogeneous Diffusion Adaptive Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

Combinations of Adaptive Filters: Performance and convergence properties.
IEEE Signal Process. Mag., 2016

Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection.
IEEE Comput. Intell. Mag., 2016

A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
Sparse and kernel OPLS feature extraction based on eigenvalue problem solving.
Pattern Recognit., 2015

Distributed estimation in diffusion networks using affine least-squares combiners.
Digit. Signal Process., 2015

Decoupled Adapt-then-Combine diffusion networks with adaptive combiners.
CoRR, 2015

Sparse distributed learning via heterogeneous diffusion adaptive networks.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

On steady state tracking performance of adaptive networks.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

A nonlinear architecture involving a combination of proportionate functional link adaptive filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Censoring diffusion for harvesting WSNs.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Nonlinear Acoustic Echo Cancellation Based on Sparse Functional Link Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

Adjustment of combination weights over adaptive diffusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

A comparative study of two popular families of sparsity-aware adaptive filters.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
A Soft-Switching Blind Equalization Scheme via Convex Combination of Adaptive Filters.
IEEE Trans. Signal Process., 2013

Enhanced Adaptive Volterra Filtering by Automatic Attenuation of Memory Regions and Its Application to Acoustic Echo Cancellation.
IEEE Trans. Signal Process., 2013

Functional Link Adaptive Filters for Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process., 2013

Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods.
IEEE Signal Process. Mag., 2013

Improved least-squares-based combiners for diffusion networks.
Proceedings of the ISWCS 2013, 2013

A low-cost implementation strategy for combinations of adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2013

Iterative orthonormalized partial least squares with sparsity constraints.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Combination of Recursive Least p -Norm Algorithms for Robust Adaptive Filtering in Alpha-Stable Noise.
IEEE Trans. Signal Process., 2012

Preface.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Semisupervised kernel orthonormalized partial least squares.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

A novel scheme for diffusion networks with least-squares adaptive combiners.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Music Genre Classification based on Dynamical Models.
Proceedings of the ICPRAM 2012, 2012

2011
Adaptive Volterra Filters With Evolutionary Quadratic Kernels Using a Combination Scheme for Memory Control.
IEEE Trans. Signal Process., 2011

Adaptive One-Class Support Vector Machine.
IEEE Trans. Signal Process., 2011

Support Vector Machines With Constraints for Sparsity in the Primal Parameters.
IEEE Trans. Neural Networks, 2011

Adaptive Combination of Volterra Kernels and Its Application to Nonlinear Acoustic Echo Cancellation.
IEEE Trans. Speech Audio Process., 2011

A block-based approach to adaptively bias the weights of adaptive filters.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Tracking performance of adaptively biased adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

Combinations of proportionate adaptive filters in acoustics: An application to active noise control.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Adaptively biasing the weights of adaptive filters.
IEEE Trans. Signal Process., 2010

Committees of Adaboost ensembles with modified emphasis functions.
Neurocomputing, 2010

UC3M AT TRECVID 2010 Semantic Indexing Task.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Combination of recursive supervised and semisupervised filters for improved unbiased estimation.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

Least-squares adaptation of affine combinations of multiple adaptive filters.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Efficient adaptive DFT-domain Volterra filters using an automatically controlled number of quadratic kernel diagonals.
Proceedings of the IEEE International Conference on Acoustics, 2010

A transient analysis for the convex combination of two adaptive filters with transfer of coefficients.
Proceedings of the IEEE International Conference on Acoustics, 2010

On the tracking performance of combinations of least mean squares and recursive least squares adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation.
IEEE Trans. Speech Audio Process., 2009

UC3M AT TRECVID 2009.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Real Adaboost Ensembles with Emphasized Subsampling.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Novel schemes for nonlinear acoustic echo cancellation based on filter combinations.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.
IEEE Trans. Neural Networks, 2008

Efficient Kernel Orthonormalized PLS for Remote Sensing Applications.
IEEE Trans. Geosci. Remote. Sens., 2008

UC3M High Level Feature Extraction at TRECVID 2008.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

A normalized adaptation scheme for the convex combination of two adaptive filters.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Fast evaluation of neural networks via confidence rating.
Neurocomputing, 2007

Feature extraction from remote sensing data using Kernel Orthonormalized PLS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

On the Relevance of Spectral Features for Instrument Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Learning and clean-up in a large scale music database.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Mean-square performance of a convex combination of two adaptive filters.
IEEE Trans. Signal Process., 2006

Plant identification via adaptive combination of transversal filters.
Signal Process., 2006

Boosting by weighting critical and erroneous samples.
Neurocomputing, 2006

Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Genre Classification Plug-in for Data Collection.
Proceedings of the ISMIR 2006, 2006

Optimal filtering of dynamics in short-time features for music organization.
Proceedings of the ISMIR 2006, 2006

Improved Blind Equalization via Adaptive Combination of Constant Modulus Algorithms.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
New algorithms for improved adaptive convex combination of LMS transversal filters.
IEEE Trans. Instrum. Meas., 2005

Fast Classification with Neural Networks via Confidence Rating.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Steady state performance of convex combinations of adaptive filters.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An On-line Fisher Discriminant.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Boosting by weighting boundary and erroneous samples.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems.
IEEE Trans. Signal Process., 2004

2003
Growing support vector classifiers with controlled complexity.
Pattern Recognit., 2003

On problem-oriented kernel refining.
Neurocomputing, 2003

Separate-variable adaptive combination of LMS adaptive filters for plant identification.
Proceedings of the NNSP 2003, 2003

The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Multi-class support vector machines: a new approach.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
An adaptive combination of adaptive filters for plant identification.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

A Trainable Classifier via k Nearest Neighbors.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002


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