Neural Networks Ensemble for Cyclosporine Concentration Monitoring. - Gustavo Camps-Valls; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez (ICANN, 2001)

Some Examples for Solving Clinical Problems Using Neural Networks. - Antonio J. Serrano-López; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; N. Víctor Jiménez (IWANN (2), 2001)

Support Vector Machines for Crop Classification Using Hyperspectral Data. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; José David Martín-Guerrero; José F. Moreno (IbPRIA, 2003)

CART-based feature selection of hyperspectral images for crop cover classification. - Luis Gómez-Chova; Javier Calpe-Maravilla; Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; José F. Moreno (ICIP (3), 2003)

Feature selection of hyperspectral data through local correlation and SFFS for crop classification. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 2003)

Semi-supervised classification method for hyperspectral remote sensing images. - Luis Gómez-Chova; Javier Calpe; Gustau Camps-Valls; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; Luis Alonso-Chorda; José Moreno 001 (IGARSS, 2003)

A Pseudo-Supervised Approach to Improve a Recommender Based on Collaborative Filtering. - José David Martín-Guerrero (User Modeling, 2003)

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure. - José David Martín-Guerrero; Emilio Soria-Olivas; Gustavo Camps-Valls; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (Comput. Biol. Medicine, 2003)

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks. - Gustavo Camps-Valls; Begoña Porta-Oltra; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

Dosage individualization of erythropoietin using a profile-dependent support vector regression. - José David Martín-Guerrero; Gustavo Camps-Valls; Emilio Soria-Olivas; Antonio J. Serrano-López; Juan José Pérez-Ruixo; N. Víctor Jiménez-Torres (IEEE Trans. Biomed. Eng., 2003)

A low-complexity fuzzy activation function for artificial neural networks. - Emilio Soria-Olivas; José David Martín-Guerrero; Gustavo Camps-Valls; Antonio J. Serrano-López; Javier Calpe-Maravilla; Luis Gómez-Chova (IEEE Trans. Neural Networks, 2003)

Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. - José David Martín-Guerrero; Emili Balaguer-Ballester; Gustavo Camps-Valls; Alberto Palomares; Antonio J. Serrano-López; Juan Gómez-Sanchís; Emilio Soria-Olivas (AH, 2004)

Regularized RBF Networks for Hyperspectral Data Classification. - Gustavo Camps-Valls; Antonio J. Serrano-López; Luis Gómez-Chova; José David Martín-Guerrero; Javier Calpe-Maravilla; José F. Moreno (ICIAR (2), 2004)

Profiled support vector machines for antisense oligonucleotide efficacy prediction. - Gustavo Camps-Valls; Alistair M. Chalk; Antonio J. Serrano-López; José David Martín-Guerrero; Erik L. L. Sonnhammer (BMC Bioinform., 2004)

Crane collision modelling using a neural network approach. - Ignacio García-Fernández; José David Martín-Guerrero; Marta Pla-Castells; Emilio Soria-Olivas; Rafael J. Martínez-Durá; Jordi Muñoz-Marí (Expert Syst. Appl., 2004)

Fuzzy sigmoid kernel for support vector classifiers. - Gustavo Camps-Valls; José David Martín-Guerrero; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants. - Emilio Soria-Olivas; Javier Calpe-Maravilla; Jonathon A. Chambers; Marcelino Martínez-Sober; Gustavo Camps-Valls; José David Martín-Guerrero (IEEE Trans. Educ., 2004)

Robust support vector method for hyperspectral data classification and knowledge discovery. - Gustavo Camps-Valls; Luis Gómez-Chova; Javier Calpe-Maravilla; José David Martín-Guerrero; Emilio Soria-Olivas; Luis Alonso-Chorda; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2004)

Neural networks for animal science applications: Two case studies. - Carlos Fernández; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano (Expert Syst. Appl., 2006)

Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms. - José David Martín-Guerrero; Alberto Palomares; Emili Balaguer-Ballester; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio Soriano-Asensi (Expert Syst. Appl., 2006)

Enhancing decision-based neural networks through local competition. - Gustavo Camps-Valls; Luis Gómez-Chova; Joan Vila-Francés; José David Martín-Guerrero; Antonio J. Serrano-López; Emilio Soria-Olivas (Neurocomputing, 2006)

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function. - Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Javier Calpe-Maravilla; Joan Vila-Francés; Gustavo Camps-Valls (Neurocomputing, 2006)

Non-linear RLS-based algorithm for pattern classification. - Emilio Soria-Olivas; Gustavo Camps-Valls; José David Martín-Guerrero; Javier Calpe-Maravilla; Joan Vila-Francés; Antonio J. Serrano-López (Signal Process., 2006)

Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin. - José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; Mónica Climente-Martí; Teresa De Diego-Santos; N. Víctor Jiménez (Australian Conference on Artificial Intelligence, 2007)

A Family of Adaptive Algorithms Robust to Impulsive Noise. - Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Alfredo Rosado; Javier Calpe (DSP, 2007)

An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal. - José David Martín-Guerrero; Paulo J. G. Lisboa; Emilio Soria-Olivas; Alberto Palomares; Emili Balaguer (Expert Syst. Appl., 2007)

Weekly milk prediction on dairy goats using neural networks. - Carlos Fernández; Emilio Soria-Olivas; P. Sánchez-Seiquer; Luis Gómez-Chova; Rafael Magdalena; José David Martín-Guerrero; M. J. Navarro; Antonio J. Serrano-López (Neural Comput. Appl., 2007)

Steady-state and tracking analysis of a robust adaptive filter with low computational cost. - Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López; Javier Calpe-Maravilla; Jonathon A. Chambers (Signal Process., 2007)

Use of Reinforcement Learning in Two Real Applications. - José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (EWRL, 2008)

An integrated framework for risk profiling of breast cancer patients following surgery. - Ian H. Jarman; Terence A. Etchells; José David Martín-Guerrero; Paulo J. G. Lisboa (Artif. Intell. Medicine, 2008)

Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks. - Emili Balaguer; Alberto Palomares; Emilio Soria-Olivas; José David Martín-Guerrero (Expert Syst. Appl., 2008)

Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal. - Antonio Soriano-Asensi; José David Martín-Guerrero; Emilio Soria-Olivas; Alberto Palomares; José Rafael Magdalena Benedicto; Antonio J. Serrano-López (Expert Syst. Appl., 2008)

A Teaching Laboratory in Analog Electronics: Changes to Address the Bologna Requirements. - Rafael Magdalena; Antonio J. Serrano; José David Martín-Guerrero; Alfredo Rosado; Marcelino Martínez-Sober (IEEE Trans. Educ., 2008)

Survival prediction in patients undergoing ischemic cardiopathy. - Emilio Soria-Olivas; José David Martín-Guerrero; Juan Caravaca; Antonio J. Serrano; Marcelino Martínez-Sober; Rafael Magdalena; Juan Gómez; Magdalena Heras; Gines Sanz (IJCNN, 2009)

Qualitative analysis of goat and sheep production data using self-organizing maps. - Rafael Magdalena; Carlos Fernández; José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; M. J. Navarro; C. Mata (Expert Syst. J. Knowl. Eng., 2009)

Assigning discounts in a marketing campaign by using reinforcement learning and neural networks. - Gabriel Gómez-Pérez; José David Martín-Guerrero; Emilio Soria-Olivas; Emili Balaguer-Ballester; Alberto Palomares; Nicolás Casariego (Expert Syst. Appl., 2009)

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. - José David Martín-Guerrero; Faustino J. Gomez; Emilio Soria-Olivas; Jürgen Schmidhuber; Mónica Climente-Martí; N. Víctor Jiménez-Torres (Expert Syst. Appl., 2009)

An AI Walk from Pharmacokinetics to A Marketing. - José David Martín-Guerrero; Emilio Soria-Olivas; Paulo J. G. Lisboa; Antonio J. Serrano-López (Encyclopedia of Artificial Intelligence, 2009)

Computational Intelligence in biomedicine: Some contributions. - Paulo J. G. Lisboa; Alfredo Vellido; José David Martín-Guerrero (ESANN, 2010)

Neural models for the analysis of kidney disease patients. - Emilio Soria-Olivas; José David Martín-Guerrero; Mónica Climente-Martí; Amparo Soldevila; Antonio J. Serrano (ESANN, 2010)

Feature selection using ROC curves on classification problems. - Antonio J. Serrano; Emilio Soria-Olivas; José David Martín-Guerrero; Rafael Magdalena; Juan Gómez (IJCNN, 2010)

Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students. - Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Amparo Ayuso-Moya (Comput. Appl. Eng. Educ., 2010)

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Joan Vila-Francés; José Rafael Magdalena Benedicto (CIDM, 2011)

Clustering categorical data: A stability analysis framework. - Ian H. Jarman; Terence A. Etchells; Paulo J. G. Lisboa; C. M. Beynon; José David Martín-Guerrero (CIDM, 2011)

Sectors on sectors (SonS): A new hierarchical clustering visualization tool. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Juan Gómez-Sanchís (CIDM, 2011)

Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps. - Vicente Buendia-Ramon; Emilio Soria-Olivas; José David Martín-Guerrero; Pablo Escandell-Montero; José M. Martínez-Villena (ESANN, 2011)

Growing Hierarchical Sectors on Sectors. - José M. Martínez-Villena; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Juan Gómez; Joan Vila-Francés (ESANN, 2011)

The role of Fisher information in primary data space for neighbourhood mapping. - Héctor Ruiz; Ian H. Jarman; José David Martín-Guerrero; Paulo J. G. Lisboa (ESANN, 2011)

Seeing is believing: The importance of visualization in real-world machine learning applications. - Alfredo Vellido; José David Martín-Guerrero; Fabrice Rossi; Paulo J. G. Lisboa (ESANN, 2011)

Regularized extreme learning machine for regression problems. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (Neurocomputing, 2011)

BELM: Bayesian Extreme Learning Machine. - Emilio Soria-Olivas; Juan Gómez-Sanchís; José David Martín-Guerrero; Joan Vila-Francés; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; Antonio J. Serrano (IEEE Trans. Neural Networks, 2011)

extended visualization method for classification trees. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Juan Gómez-Sanchís; Joan Vila-Francés (ESANN, 2012)

Constructing similarity networks using the Fisher information metric. - Héctor Ruiz; Sandra Ortega-Martorell; Ian H. Jarman; José David Martín-Guerrero; Paulo J. G. Lisboa (ESANN, 2012)

Making machine learning models interpretable. - Alfredo Vellido; José David Martín-Guerrero; Paulo J. G. Lisboa (ESANN, 2012)

Towards interpretable classifiers with blind signal separation. - Héctor Ruiz; Ian H. Jarman; José David Martín-Guerrero; Sandra Ortega-Martorell; Alfredo Vellido; Enrique Romero; Paulo J. G. Lisboa (IJCNN, 2012)

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques. - Juan Gómez-Sanchís; José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; José Blasco (Expert Syst. Appl., 2012)

Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. - José David Martín-Guerrero; Daniele Marcelli; Emilio Soria-Olivas; Flavio Mari; José María Martínez-Martínez; Isabel Soley Bech; Marcelino Martínez-Sober; Laura Scatizzi; Juan Gómez-Sanchís; Andrea Stopper; Antonio J. Serrano-López; Emanuele Gatti (Expert Syst. Appl., 2012)

Artificial neural networks for predicting dorsal pressures on the foot surface while walking. - María José Rupérez; José David Martín-Guerrero; Carlos Monserrat; Mariano Alcañiz Raya (Expert Syst. Appl., 2012)

Least-squares temporal difference learning based on extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (ESANN, 2013)

ManiSonS: A New Visualization Tool for Manifold Clustering. - José María Martínez-Martínez; Pablo Escandell-Montero; José David Martín-Guerrero; Joan Vila-Francés; Emilio Soria-Olivas (ESANN, 2013)

Feature Selection for Footwear Shape Estimation. - Fernando Mateo; Mónica Millán-Giraldo; Juan José Carrasco; Enrique Montiel; José Antonio Bernabéu; José David Martín-Guerrero (ESANN, 2013)

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation. - Francisco Martínez-Martínez; María José Rupérez; José David Martín-Guerrero; Carlos Monserrat; Miguel A. Lago; E. Pareja; S. Brugger; R. López-Andújar (Comput. Methods Programs Biomed., 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]. - Emili Balaguer-Ballester; Alberto Palomares; Emilio Soria-Olivas; José David Martín-Guerrero (Expert Syst. Appl., 2013)

A principled approach to network-based classification and data representation. - Héctor Ruiz; Terence A. Etchells; Ian H. Jarman; José David Martín-Guerrero; Paulo J. G. Lisboa (Neurocomputing, 2013)

Machine learning for predicting astigmatism in patients with keratoconus after intracorneal ring implantation. - M. A. Valdés-Mas; José David Martín-Guerrero; María José Rupérez; Cristina Peris; Carlos Monserrat (BHI, 2014)

Ensembles of extreme learning machine networks for value prediction. - Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José David Martín-Guerrero (ESANN, 2014)

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. - Pablo Escandell-Montero; Milena Chermisi; José María Martínez-Martínez; Juan Gómez-Sanchís; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Joan Vila-Francés; Andrea Stopper; Emanuele Gatti; José David Martín-Guerrero (Artif. Intell. Medicine, 2014)

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. - José María Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano-López; Marcello Bassi; José Rafael Magdalena Benedicto; Andrea Stopper; José David Martín-Guerrero; et al. (Comput. Methods Programs Biomed., 2014)

A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation. - M. A. Valdés-Mas; José David Martín-Guerrero; María José Rupérez; F. Pastor; C. Dualde; Carlos Monserrat; C. Peris-Martínez (Comput. Methods Programs Biomed., 2014)

Least-squares temporal difference learning based on an extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (Neurocomputing, 2014)

Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes. - Emilio Soria-Olivas; José David Martín-Guerrero; Josep Redon; Maria Tellez-Plaza; Joan Vila-Francés (ICDM Workshops, 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. - Carlo Barbieri; Flavio Mari; Andrea Stopper; Emanuele Gatti; Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero (Comput. Biol. Medicine, 2015)

Making nonlinear manifold learning models interpretable: The manifold grand tour. - Paulo J. G. Lisboa; José David Martín-Guerrero; Alfredo Vellido (Expert Syst. Appl., 2015)

Performance assessment of quantum clustering in non-spherical data distributions. - Raúl V. Casaña Eslava; José David Martín-Guerrero; Ian H. Jarman; Paulo J. G. Lisboa (ESANN, 2016)

Physics and Machine Learning: Emerging Paradigms. - José David Martín-Guerrero; Paulo J. G. Lisboa; Alfredo Vellido (ESANN, 2016)

Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue. - José David Martín-Guerrero; María J. Rupérez-Moreno; Francisco Martínez-Martínez; Delia Lorente-Garrido; Antonio J. Serrano-López; Carlos Monserrat; Sandra Martínez-Sanchis; Marcelino Martínez-Sober (ICDM Workshops, 2016)

Quantum Machine Learning without Measurements. - Unai Alvarez-Rodriguez; Lucas Lamata; Pablo Escandell-Montero; José David Martín-Guerrero; Enrique Solano (CoRR, 2016)

Online fitted policy iteration based on extreme learning machines. - Pablo Escandell-Montero; Delia Lorente; José María Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José David Martín-Guerrero (Knowl. Based Syst., 2016)

A new visualization tool for data mining techniques. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Antonio J. Serrano-López (Prog. Artif. Intell., 2016)

Randomized Machine Learning Approaches: Recent Developments and Challenges. - Claudio Gallicchio; José David Martín-Guerrero; Alessio Micheli; Emilio Soria-Olivas (ESANN, 2017)

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time. - Francisco Martínez-Martínez; María J. Rupérez-Moreno; Marcelino Martínez-Sober; J. A. Solves Llorens; Delia Lorente; Antonio J. Serrano; Sandra Martínez-Sanchis; Carlos Monserrat Aranda; José David Martín-Guerrero (Comput. Biol. Medicine, 2017)

Quantum Autoencoders via Quantum Adders with Genetic Algorithms. - Lucas Lamata; Unai Alvarez-Rodriguez; José David Martín-Guerrero; Mikel Sanz; Enrique Solano (CoRR, 2017)

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning. - Delia Lorente; Francisco Martínez-Martínez; María José Rupérez; Miguel A. Lago; Marcelino Martínez-Sober; Pablo Escandell-Montero; José María Martínez-Martínez; Sandra Martínez-Sanchis; Antonio J. Serrano-López; Carlos Monserrat Aranda; José David Martín-Guerrero (Expert Syst. Appl., 2017)

Quantum clustering in non-spherical data distributions: Finding a suitable number of clusters. - Raúl V. Casaña Eslava; Ian H. Jarman; Paulo J. G. Lisboa; José David Martín-Guerrero (Neurocomputing, 2017)

Use of SOMs for footwear comfort evaluation. - José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; José Antonio Bernabéu; Pablo Escandell-Montero; Rafael Hernández Stark; Antonio J. Serrano-López; Enrique Montiel (Neural Comput. Appl., 2017)

Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. - Raúl V. Casaña Eslava; José David Martín-Guerrero; Sandra Ortega-Martorell; Paulo J. G. Lisboa; Ian H. Jarman (IJCNN, 2019)

A Probabilistic framework for Quantum Clustering. - Raúl V. Casaña Eslava; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Ian H. Jarman; José David Martín-Guerrero (CoRR, 2019)

Machine learning method for single trajectory characterization. - Gorka Muñoz-Gil; Miguel Ángel García-March; Carlo Manzo; José David Martín-Guerrero; Maciej Lewenstein (CoRR, 2019)

Quantum Machine Learning. - José David Martín-Guerrero; Lucas Lamata (ESANN, 2020)

Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation. - Oscar J. Pellicer-Valero; María J. Rupérez-Moreno; José David Martín-Guerrero (ESANN, 2020)

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks. - Oscar J. Pellicer-Valero; Isabella Cattinelli; Luca Neri; Flavio Mari; José David Martín-Guerrero; Carlo Barbieri (Artif. Intell. Medicine, 2020)

Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations. - Oscar J. Pellicer-Valero; María José Rupérez; Sandra Martínez-Sanchis; José David Martín-Guerrero (Expert Syst. Appl., 2020)

Probabilistic quantum clustering. - Raúl V. Casaña Eslava; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Ian H. Jarman; José David Martín-Guerrero (Knowl. Based Syst., 2020)

Mathematical Modeling for Neuropathic Pain: Bayesian Linear Regression and Self-Organizing Maps Applied to Carpal Tunnel Syndrome. - Oscar J. Pellicer-Valero; José David Martín-Guerrero; Margarita I. Cigarán-Méndez; Carmen Écija-Gallardo; César Fernández-de-las-Peñas; Esperanza Navarro-Pardo (Symmetry, 2020)

Deep Learning for fully automatic detection, segmentation, and Gleason Grade estimation of prostate cancer in multiparametric Magnetic Resonance Images. - Oscar J. Pellicer-Valero; José L. Marenco Jiménez; Victor Gonzalez-Perez; Juan Luis Casanova Ramón-Borja; Isabel Martín García; María Barrios Benito; Paula Pelechano Gómez; José Rubio-Briones; María José Rupérez; José David Martín-Guerrero (CoRR, 2021)

Quantum Pattern Recognition in Photonic Circuits. - Rui Wang; Carlos Hernani-Morales; José D. Martín-Guerrero; Enrique Solano; Francisco Albarrán-Arriagada (CoRR, 2021)

Active Learning for the Optimal Design of Multinomial Classification in Physics. - Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; José Rafael Magdalena Benedicto; Xi Chen 059 (CoRR, 2021)

Quantum Stream Learning. - Yongcheng Ding; Xi Chen 059; Rafael Magdalena Benedicto; José D. Martín-Guerrero (CoRR, 2021)

Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. - Raúl V. Casaña Eslava; Ian H. Jarman; Sandra Ortega-Martorell; Paulo J. G. Lisboa; José David Martín-Guerrero (Neural Comput. Appl., 2021)

Spectral Clustering Reveals Different Profiles of Central Sensitization in Women with Carpal Tunnel Syndrome. - Oscar J. Pellicer-Valero; José David Martín-Guerrero; César Fernández-de-las-Peñas; Ana I. De-la-Llave-Rincón; Jorge Rodríguez-Jiménez; Esperanza Navarro-Pardo; Margarita I. Cigarán-Méndez (Symmetry, 2021)

Memory degradation induced by attention in recurrent neural architectures. - Mykola Harvat; José D. Martín-Guerrero (Neurocomputing, 2022)

Quantum Machine Learning: A tutorial. - José David Martín-Guerrero; Lucas Lamata (Neurocomputing, 2022)

An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats. - Eduardo R. Miranda; Satvik Venkatesh; José D. Martín-Guerrero; Carlos Hernani-Morales; Lucas Lamata; Enrique Solano (Int. J. Unconv. Comput., 2022)

Quantum Artificial Intelligence: A tutorial. - José D. Martín-Guerrero; Lucas Lamata; Thomas Villmann (ESANN, 2023)

Active Learning in Physics: From 101, to Progress, and Perspective. - Yongcheng Ding; José D. Martín-Guerrero; Yolanda Vives-Gilabert; Xi Chen 059 (CoRR, 2023)

Physics-Informed Neural Networks for an optimal counterdiabatic quantum computation. - Antonio Ferrer-Sánchez; Carlos Flores-Garrigos; Carlos Hernani-Morales; José J. Orquín-Marqués; Narendra N. Hegade; Alejandro Gomez Cadavid; Iraitz Montalban; Enrique Solano; Yolanda Vives-Gilabert; José D. Martín-Guerrero (CoRR, 2023)

Machine Learning for maximizing the memristivity of single and coupled quantum memristors. - Carlos Hernani-Morales; Gabriel Alvarado Barrios; Francisco Albarrán-Arriagada; Yolanda Vives-Gilabert; Enrique Solano; José D. Martín-Guerrero (CoRR, 2023)

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer. - Yongcheng Ding; Javier Gonzalez-Conde; Lucas Lamata; José D. Martín-Guerrero; Enrique Lizaso; Samuel Mugel; Xi Chen 059; Román Orús; Enrique Solano; Mikel Sanz (Entropy, 2023)

Closed-loop control of a noisy qubit with reinforcement learning. - Yongcheng Ding; Xi Chen 059; José Rafael Magdalena Benedicto; José D. Martín-Guerrero (Mach. Learn. Sci. Technol., 2023)

Novel Approaches for ML-Assisted Particle Track Reconstruction and Hit Clustering. - Uraz Odyurt; Nadezhda Dobreva; Zef Wolffs; Yue Zhao; Antonio Ferrer-Sánchez; Roberto Ruiz de Austri Bazan; José D. Martín-Guerrero; Ana Lucia Varbanescu; Sascha Caron (CoRR, 2024)

TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era. - Sascha Caron; Nadezhda Dobreva; Antonio Ferrer-Sánchez; José D. Martín-Guerrero; Uraz Odyurt; Roberto Ruiz de Austri Bazan; Zef Wolffs; Yue Zhao (CoRR, 2024)

NRSurNN3dq4: A Deep Learning Powered Numerical Relativity Surrogate for Binary Black Hole Waveforms. - Osvaldo Gramaxo Freitas; Anastasios Theodoropoulos; Nino Villanueva; Tiago S. Fernandes; Solange Nunes; José A. Font; António Onofre; Alejandro Torres-Forné; José D. Martín-Guerrero (CoRR, 2024)

A Machine Learning-Based Surrogate Model of a Hemodialyzer for the Prediction of the Urea Dialyzer Clearance. - Angelo Giordano; Nunzio Cancilla; José D. Martín-Guerrero; Yolanda Vives-Gilabert; Michele Ciofalo; Giorgio Micale; Alessandro Tamburini (AIiH (1), 2025)

Performance Comparison of Machine Learning Models for the Prediction of Dialysis Treatment Variables. - A. Nicosia; Nunzio Cancilla; E. Di Liberti; José D. Martín-Guerrero; Yolanda Vives-Gilabert; A. Ferrantelli; F. Iacono; Valerio M. B. Brucato; Vincenzo La Carrubba; Ilenia Tinnirello; Andrea Cipollina (AIiH (1), 2025)