José D. Martín-Guerrero
Orcid: 0000-0001-9378-0285Affiliations:
- University of Valencia, Intelligent Data Analysis Laboratory, Spain
According to our database1,
José D. Martín-Guerrero
authored at least 109 papers
between 2001 and 2023.
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Bibliography
2023
Mach. Learn. Sci. Technol., June, 2023
Entropy, February, 2023
Machine Learning for maximizing the memristivity of single and coupled quantum memristors.
CoRR, 2023
CoRR, 2023
2022
An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats.
Int. J. Unconv. Comput., 2022
Neurocomputing, 2022
2021
Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome.
Symmetry, 2021
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering.
Neural Comput. Appl., 2021
CoRR, 2021
Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images.
CoRR, 2021
2020
Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome.
Symmetry, 2020
Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations.
Expert Syst. Appl., 2020
Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks.
Artif. Intell. Medicine, 2020
Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020
2019
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.
Proceedings of the International Joint Conference on Neural Networks, 2019
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
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time.
Comput. Biol. Medicine, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Knowl. Based Syst., 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Expert Syst. Appl., 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.
Comput. Biol. Medicine, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Neurocomputing, 2014
A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation.
Comput. Methods Programs Biomed., 2014
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.
Comput. Methods Programs Biomed., 2014
Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
Artif. Intell. Medicine, 2014
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
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.
Comput. Methods Programs Biomed., 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
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
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Seeing is believing: The importance of visualization in real-world machine learning applications.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
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
Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students.
Comput. Appl. Eng. Educ., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
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
Expert Syst. J. Knowl. Eng., 2009
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. Educ., 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.
Artif. Intell. Medicine, 2008
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 Process., 2007
Neural Comput. Appl., 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
Proceedings of the 15th International Conference on Digital Signal Processing, 2007
Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
2006
Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function.
Neurocomputing, 2006
Neurocomputing, 2006
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms.
Expert Syst. Appl., 2006
Expert Syst. Appl., 2006
2004
Robust support vector method for hyperspectral data classification and knowledge discovery.
IEEE Trans. Geosci. Remote. Sens., 2004
A novel approach to introducing adaptive filters based on the LMS algorithm and its variants.
IEEE Trans. Educ., 2004
BMC Bioinform., 2004
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
IEEE Trans. Neural Networks, 2003
Dosage individualization of erythropoietin using a profile-dependent support vector regression.
IEEE Trans. Biomed. Eng., 2003
Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.
IEEE Trans. Biomed. Eng., 2003
Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.
Comput. Biol. Medicine, 2003
A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering.
Proceedings of the User Modeling 2003, 2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Feature selection of hyperspectral data through local correlation and SFFS for crop classification.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003
2001
Proceedings of the Bio-inspired Applications of Connectionism, 2001
Proceedings of the Artificial Neural Networks, 2001