Lluís A. Belanche Muñoz

According to our database1, Lluís A. Belanche Muñoz authored at least 76 papers between 1991 and 2020.

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

Timeline

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Bibliography

2020
An Evaluation of Equity Premium Prediction Using Multiple Kernel Learning with Financial Features.
Neural Process. Lett., 2020

Off-the-grid: Fast and Effective Hyperparameter Search for Kernel Clustering.
CoRR, 2020

2019
HIV drug resistance prediction with weighted categorical kernel functions.
BMC Bioinform., 2019

Purity Filtering: An Instance Selection Method for Support Vector Machines.
Proceedings of the Artificial Intelligence XXXVI, 2019

HIV Drug Resistance Prediction with Categorical Kernel Functions.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018
Fast Supervised Selection of Prototypes for Metric-Based Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Tradares: A Tool for the Automatic Evaluation of Human Translation Quality within a MOOC Environment.
Appl. Artif. Intell., 2017

Forecasting Financial Time Series with Multiple Kernel Learning.
Proceedings of the Advances in Computational Intelligence, 2017

Bridging deep and kernel methods.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.
Sensors, 2016

Multivariate Dynamic Kernels for Financial Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

StreamLeader: A New Stream Clustering Algorithm not Based in Conventional Clustering.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Bayesian semi non-negative matrix factorisation.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Instance and feature weighted k-nearest-neighbors algorithm.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

A New Kernelized Associative Memory and Some of Its Applications.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Double Relief with progressive weighting function.
CoRR, 2015

Toward better feature weighting algorithms: a focus on Relief.
CoRR, 2015

Feature Selection in Spectroscopy Brain Cancer Data.
Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

2014
Handling missing values in kernel methods with application to microbiology data.
Neurocomputing, 2014

Selección de características para datos de expresión de los genes mediante microarreglos usando recocido simulado guiado por la entropía conjunta multivariada.
Computación y Sistemas, 2014

Similarity networks for classification: a case study in the Horse Colic problem.
CoRR, 2014

Improved Stability of Feature Selection by Combining Instance and Feature Weighting.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Glucose Oxidase Biosensor Modeling by Machine Learning Methods.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Improving Stability of Feature Selection for Brain Tumour Diagnosis Using 1H-MRS Data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

Developing professional skills at tertiary level: A model to integrate competencies across the curriculum.
Proceedings of the IEEE Frontiers in Education Conference, 2014

2013
Averaging of kernel functions.
Neurocomputing, 2013

Feature Selection for Microarray Gene Expression Data using Simulated Annealing guided by the Multivariate Joint Entropy
CoRR, 2013

Developments in kernel design.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Kernel Functions for Categorical Variables with Application to Problems in the Life Sciences.
Proceedings of the Artificial Intelligence Research and Development, 2013

2012
Understanding (dis)similarity measures
CoRR, 2012

Classifying malignant brain tumours from <sup>1</sup>H-MRS data using Breadth Ensemble Learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Similarity networks for heterogeneous data.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
A Software System for the Microbial Source Tracking Problem.
Proceedings of the Second Workshop on Applications of Pattern Analysis, 2011

Review and Evaluation of Feature Selection Algorithms in Synthetic Problems
CoRR, 2011

Predicting Software Anomalies Using Machine Learning Techniques.
Proceedings of The Tenth IEEE International Symposium on Networking Computing and Applications, 2011

Things to Know about a (dis)similarity Measure.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

2010
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010

Exploiting the Accumulated Evidence for Gene Selection in Microarray Gene Expression Data.
Proceedings of the ECAI 2010, 2010

Differentiation of Glioblastomas and Metastases using 1H-MRS spectral data.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009
Learning in Feed-Forward Artificial Neural Networks II.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Learning in Feed-Forward Artificial Neural Networks I.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Feed-Forward Artificial Neural Network Basics.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Outlier exploration and diagnostic classification of a multi-centre <sup>1</sup>H-MRS brain tumour database.
Neurocomputing, 2009

An experimental study on methods for the selection of basis functions in regression.
Neurocomputing, 2009

Gene subset selection in microarray data using entropic filtering for cancer classification.
Expert Syst. J. Knowl. Eng., 2009

Remainder Subset Awareness for Feature Subset Selection.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

A kernel extension to handle missing data.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

2008
Modeling Heterogeneous Data Sets with Neural Networks.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

On the design of metric relations.
J. Convergence Inf. Technol., 2008

Machine learning methods for microbial source tracking.
Environ. Model. Softw., 2008

Feature Selection in in vivo1H-MRS Single Voxel Spectra.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification.
Proceedings of the ESANN 2008, 2008

2007
Similarity-based Heterogeneous Neural Networks.
Eng. Lett., 2007

Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression.
Proceedings of the International Joint Conference on Neural Networks, 2007

Effective Learning with Heterogeneous Neural Networks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A Thermodynamical Search Algorithm for Feature Subset Selection.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Incremental and Decremental Learning for Linear Support Vector Machines.
Proceedings of the Artificial Neural Networks, 2007

Extended Linear Models with Gaussian Prior on the Parameters and Adaptive Expansion Vectors.
Proceedings of the Artificial Neural Networks, 2007

Selection of Basis Functions Guided by the L2 Soft Margin.
Proceedings of the Artificial Neural Networks, 2007

Distance-Based Kernels for Real-Valued Data.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
On the selection of hidden neurons with heuristic search strategies for approximation.
Proceedings of the ESANN 2006, 2006

2004
On aggregation operators of transitive similarity and dissimilarity relations.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2002
Evolutionary Optimization of Heterogeneous Problems.
Proceedings of the Parallel Problem Solving from Nature, 2002

Feature Selection Algorithms: A Survey and Experimental Evaluation.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Evaluating Feature Selection Algorithms.
Proceedings of the Topics in Artificial Intelligence, 5th Catalonian Conference on AI, 2002

2001
Heterogeneous Kohonen Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Fuzzy heterogeneous neurons for imprecise classification problems.
Int. J. Intell. Syst., 2000

Prediction of the bulking phenomenon in wastewater treatment plants.
Artif. Intell. Eng., 2000

Similarity-based Heterogeneous Neuron Models.
Proceedings of the ECAI 2000, 2000

Heterogeneous Neuron Models Based on Similarity.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Towards a model of input-output behaviour os wastewater treatment plants using soft computing techniques.
Environ. Model. Softw., 1999

Fuzzy Inputs and Missing Data in Similarity-Based Heterogeneous Neural Networks.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1992
A Knowledge-based System for the Diagnosis of Waste-Water Treatment Plants.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1992

1991
The Nought Attributes in Knowledge-Based Systems.
Proceedings of the European Workshop on the Verification and Validation of Knowledge-Based Systems, 1991


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