José David Martín-Guerrero

According to our database1, José David Martín-Guerrero authored at least 84 papers between 2001 and 2017.

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

Timeline

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PhD thesis 
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Bibliography

2017
Use of SOMs for footwear comfort evaluation.
Neural Computing and Applications, 2017

Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters.
Neurocomputing, 2017

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning.
Expert Syst. Appl., 2017

Quantum Autoencoders via Quantum Adders with Genetic Algorithms.
CoRR, 2017

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time.
Comp. in Bio. and Med., 2017

Randomized Machine Learning Approaches: Recent Developments and Challenges.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
A new visualization tool for data mining techniques.
Progress in AI, 2016

Online fitted policy iteration based on extreme learning machines.
Knowl.-Based Syst., 2016

Quantum Machine Learning without Measurements.
CoRR, 2016

Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Physics and Machine Learning: Emerging Paradigms.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Performance assessment of quantum clustering in non-spherical data distributions.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Making nonlinear manifold learning models interpretable: The manifold grand tour.
Expert Syst. Appl., 2015

Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
CoRR, 2015

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.
Comp. in Bio. and Med., 2015

Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Least-squares temporal difference learning based on an extreme learning machine.
Neurocomputing, 2014

A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation.
Computer Methods and Programs in Biomedicine, 2014

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.
Computer Methods and Programs in Biomedicine, 2014

Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
Artificial Intelligence in Medicine, 2014

Ensembles of extreme learning machine networks for value prediction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
A principled approach to network-based classification and data representation.
Neurocomputing, 2013

Corrigendum to "Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks" [Expert Systems with Applications 34/1 (2008) 665-672].
Expert Syst. Appl., 2013

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.
Computer Methods and Programs in Biomedicine, 2013

Feature Selection for Footwear Shape Estimation.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

ManiSonS: A New Visualization Tool for Manifold Clustering.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Least-squares temporal difference learning based on extreme learning machine.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Artificial neural networks for predicting dorsal pressures on the foot surface while walking.
Expert Syst. Appl., 2012

Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients.
Expert Syst. Appl., 2012

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques.
Expert Syst. Appl., 2012

Towards interpretable classifiers with blind signal separation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Making machine learning models interpretable.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Constructing similarity networks using the Fisher information metric.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

extended visualization method for classification trees.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
BELM: Bayesian Extreme Learning Machine.
IEEE Trans. Neural Networks, 2011

Regularized extreme learning machine for regression problems.
Neurocomputing, 2011

Seeing is believing: The importance of visualization in real-world machine learning applications.
Proceedings of the ESANN 2011, 2011

The role of Fisher information in primary data space for neighbourhood mapping.
Proceedings of the ESANN 2011, 2011

Growing Hierarchical Sectors on Sectors.
Proceedings of the ESANN 2011, 2011

Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps.
Proceedings of the ESANN 2011, 2011

Sectors on sectors (SonS): A new hierarchical clustering visualization tool.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Clustering categorical data: A stability analysis framework.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Data Mining in Cancer Research [Application Notes].
IEEE Comp. Int. Mag., 2010

Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students.
Comp. Applic. in Engineering Education, 2010

Feature selection using ROC curves on classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Neural models for the analysis of kidney disease patients.
Proceedings of the ESANN 2010, 2010

Computational Intelligence in biomedicine: Some contributions.
Proceedings of the ESANN 2010, 2010

2009
An AI Walk from Pharmacokinetics to A Marketing.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.
Expert Syst. Appl., 2009

Assigning discounts in a marketing campaign by using reinforcement learning and neural networks.
Expert Syst. Appl., 2009

Qualitative analysis of goat and sheep production data using self-organizing maps.
Expert Systems, 2009

Survival prediction in patients undergoing ischemic cardiopathy.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
A Teaching Laboratory in Analog Electronics: Changes to Address the Bologna Requirements.
IEEE Trans. Education, 2008

Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal.
Expert Syst. Appl., 2008

Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks.
Expert Syst. Appl., 2008

An integrated framework for risk profiling of breast cancer patients following surgery.
Artificial Intelligence in Medicine, 2008

Use of Reinforcement Learning in Two Real Applications.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2007
Steady-state and tracking analysis of a robust adaptive filter with low computational cost.
Signal Processing, 2007

Weekly milk prediction on dairy goats using neural networks.
Neural Computing and Applications, 2007

An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal.
Expert Syst. Appl., 2007

Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Non-linear RLS-based algorithm for pattern classification.
Signal Processing, 2006

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function.
Neurocomputing, 2006

Enhancing decision-based neural networks through local competition.
Neurocomputing, 2006

Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms.
Expert Syst. Appl., 2006

Neural networks for animal science applications: Two case studies.
Expert Syst. Appl., 2006

2004
Robust support vector method for hyperspectral data classification and knowledge discovery.
IEEE Trans. Geoscience and Remote Sensing, 2004

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants.
IEEE Trans. Education, 2004

Fuzzy sigmoid kernel for support vector classifiers.
Neurocomputing, 2004

Crane collision modelling using a neural network approach.
Expert Syst. Appl., 2004

Profiled support vector machines for antisense oligonucleotide efficacy prediction.
BMC Bioinformatics, 2004

Regularized RBF Networks for Hyperspectral Data Classification.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2004

2003
A low-complexity fuzzy activation function for artificial neural networks.
IEEE Trans. Neural Networks, 2003

Dosage individualization of erythropoietin using a profile-dependent support vector regression.
IEEE Trans. Biomed. Engineering, 2003

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.
IEEE Trans. Biomed. Engineering, 2003

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.
Comp. in Bio. and Med., 2003

A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering.
Proceedings of the User Modeling 2003, 2003

CART-based feature selection of hyperspectral images for crop cover classification.
Proceedings of the 2003 International Conference on Image Processing, 2003

Support Vector Machines for Crop Classification Using Hyperspectral Data.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2001
Some Examples for Solving Clinical Problems Using Neural Networks.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Neural Networks Ensemble for Cyclosporine Concentration Monitoring.
Proceedings of the Artificial Neural Networks, 2001


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