The main purpose of IDAL is the study and application of intelligent methods of data analysis for pattern recognition, with applications that struggle with prediction, classification or trend determination.
Its members apply classic statistical methods and automatic learning techniques to large databases: statistical hypothesis testing, linear models, feature selection and extraction, neural networks, clustering algorithms, decision trees, support vector machines, probabilistic graphical models, manifold visualization, fuzzy logic, reinforcement learning, etc.
The ultimate goal of the application of these methods is to generate mathematical models which enable the optimization of processes and resources, as well as to reach the optimal decision making stage. A clear example of this is the area of health, where IDAL has developed clinical decision support application based on data analysis. These applications make it possible to improve the patient’s quality of life (establishing optimal clinical guidelines) while reducing healthcare costs.
Complementing this knowledge, the group has extensive experience in signal processing (spectral analysis, digital filter, adaptive process, etc.) due to their work of over 10 years in biosignal processing (mainly ECG and EEG). With all this background, IDAL is able to analyse a wide range of data and signals. This fact is backed up by the large number of both private and public contracts it has developed in different areas of knowledge. Furthermore, most of the practical work carried out has been displayed in important scientific publications with high impact parameters and in a large number of communications to international congresses within the area of data analysis.
Among the developed applications, (outside the health area already mentioned) are the following, i.a: web recommendations, models for optimal incentive management to gain customer loyalty, measurement-based shoe recommendations, and other data analysis consultancy works. In addition to its practical work IDAL, it develops new data analysis algorithms improving the performance of the existing ones. This research work is also reflected in a wide dissemination in the form of different publications in journals of impact and in congresses of data analysis relevant to the scientific community.
- Advanced data mining.
- Knowledge extraction of large databases.
- Expert system application with real applications.
- Development of new database analysis algorithms
- Big data.
- Quantum machine learning
Use of formalism of quantum mechanics to improve the performance of machine learning algorithms. Use of machine learning for the description and extraction of quantum phenomena knowledge.
- Intelligent data analysis
Application of automatic learning techniques for problems with prediction, classification and recognition of patterns or trends.
- Big Data
Large database analysis in which there are three characteristics that make them special: growth velocity, variety in the data classes and volume.
- Process optimisation
Development of reinforcement learning models and dynamic programming for cost reduction, the improvement of important parameters and the increase of efficiency.
- Signal capture and processing
Development of equipment and algorithms custom-made for their aqcuisition and signal processing.
- Natural Language Processing
Extraction of structured information and knowledge from the analysis of free texts and a priori unstructured information.
- Recommender system
Development of product recommendation engines based on the characteristics of the customer and management of personalised promotions.
- SERRANO LOPEZ, ANTONIO JOSE
- PDI-Titular d'Universitat
- Coordinador/a Curs
- SORIA OLIVAS, EMILIO
- PDI-Catedratic/a d'Universitat
- Director/a Titulacio Master Oficial
- GOMEZ SANCHIS, JUAN
- PDI-Titular d'Universitat
- Coordinador/a Curs
- MAGDALENA BENEDICTO, JOSE RAFAEL
- PDI-Titular d'Universitat
- Dega/Degana / Director/a Ets
- MARTINEZ SOBER, MARCELINO
- PDI-Catedratic/a d'Universitat
- Responsables de Gestio Academica
- Coordinador/a Titulacio de Grau
- MARTIN GUERRERO, JOSE DAVID
- PDI-Catedratic/a d'Universitat
- Coordinador/a de Mobilitat
- VILA FRANCES, JOAN
- Alumn.-Servei de Formacio Permanent
- Secretari/a de Facultat/Secretari/a Ets
- MATEO JIMENEZ, FERNANDO
- PDI-Titular d'Universitat
- Responsables de Gestio Academica
- Coordinador/a Titulacio de Grau
- ContraerExpandirMAGDALENA BENEDICTO, JOSE RAFAELPDI-Titular d'UniversitatDega/Degana / Director/a Ets
Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; Rafael Magdalena-Benedicto; Xi Chen(2022)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Research, 4, pp. 013213 (1) - 013213 (16). ISSN: 2643-1564
Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Patricia Correa-Ghisays; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Constanza San-Martin; Víctor M Victor; Irene Escribano-Lopez; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryActa Psychiatrica Scandinavica, 146(3), pp. 215 - 226. ISSN: 0001-690X
Marta Garés-Caballer, Joan Vicent Sánchez-Ortí, Patricia Correa-Ghisays, Vicent Balanzá-Martínez, Gabriel Selva Vera, Joan Vila-Francés, Rafael Magdalena- Benedito, Constanza San Martín Valenzuela, Victor M Victor, Irene Escribano-Lopez, Antonio Hernandez-Mijares, Juliana Vivas-Lalinde, Eduard Vieta, Juan C Leza, Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryFrontiers In Neurology, 13, p. 883927. ISSN: 1664-2295
Antonio Ferrer-Sánchez; Jose Bagan; Joan Vila-Francés; Rafael Magdalena-Benedito; Leticia Bagan-Debon(2022)Research Group on Intelligent Data Analysis LaboratoryOral Oncology, 132, p. 105967. ISSN: 1368-8375
E. Campo-Montalvo; M. Fernández de Sevilla; R. Magdalena Benedicto; S. Pérez-Díaz(2022)Research Group on Intelligent Data Analysis LaboratoryComputer Aided Geometric Design, 98. ISSN: 0167-8396
Patricia Correa-Ghisays; Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Victor M. Victor; Irene Escribano-López; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Constanza San-Martín; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2021)Research Group on Intelligent Data Analysis LaboratoryJournal of Affective Disorders, 300, pp. 99 - 108. ISSN: 0165-0327
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Raquel García-García; Juan F. Guerrero; Manuel Lavilla-Miyasato; Jose R. Magdalena; Juan F. Ordoño; Marta Llansola; Carmina Montoliu; Vicent Teruel-Martí; Vicente Felipo(2019)Research Group on Intelligent Data Analysis LaboratoryJournal of Neurochemistry, 40(26), pp. 56 - 70. ISSN: 0022-3042
Lorena Rodríguez García; José Rafael Magdalena Benedito(2016)Research Group on Intelligent Data Analysis LaboratoryLa revista Icono 14, 14(1), pp. 24 - 49. ISSN: 1697-8293
José M. Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano López; Marcello Bassi; Rafael Magdalena-Benedito; Andrea Stopper; José D. Martín-Guerrero; Emanuele Gatti(2014)Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in Biomedicine, 117(2), pp. 208 - 217. ISSN: 0169-2607
Marian Fernández, Rafael Magdalena, Sonia Pérez(2023)Research Group on Intelligent Data Analysis LaboratoryRevista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie a-Matematicas, 117. ISSN: 1578-7303
Elena Campo-Montalvo; Marián Fernández de Sevilla; J. Rafael Magdalena Benedicto; Sonia Pérez-Díaz(2022)Research Group on Intelligent Data Analysis LaboratorySymmetry-Basel, 15(9). ISSN: 2073-8994
Elena Campo; Marian Fernández; Sonia Pérez, Rafael Magdalena(2023)Design and implementation of symbolic algorithms for the computation of generalized asymptote.Annals of Mathematics and Artificial Intelligence. ISSN: 1012-2443
Marian Fernández; Sonia Pérez; Rafael Magdalena(2023)Asymptotic Behavior of Parametric Algebraic Surfaces.Contemporary mathematics. ISSN: 0271-4132
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D. Martín-Guerrero(2023)Research Group on Intelligent Data Analysis LaboratoryMachine Learning-Science And Technology, 4, pp. 025020 (1) - 025020 (9). ISSN: 2632-2153
Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Crespo-Facorro B, Tabarés-Seisdedos R.(2023)Research Group on Intelligent Data Analysis LaboratoryProgress in Neuro-Psychopharmacology & Biological Psychiatry. ISSN: 0278-5846
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D Martín-Guerrero(2023)Closed-loop control of a noisy qubit with reinforcement learning.Machine Learning-Science And Technology, 4(2). ISSN: 2632-2153
R. Magdalena; S. Pérez; Adriá Costa(2023)New trends in geometry: a Machine Learning Approach.Mathematics. ISSN: 2227-7390
Journal Publications
- ContraerExpandirMARTIN GUERRERO, JOSE DAVIDPDI-Catedratic/a d'UniversitatCoordinador/a de Mobilitat
E. Soria, M. Martínez, J.D. Martín, I. García, L. Ferrer.2000Aplicación de la Teoría del Caos en ElectrocardiografíaRevista Internacional de SistemasVolume 10.
J.D. Martín, E. Soria, G. Camps, A.J. Serrano, J.J. Pérez, N.V. Jiménez.2003Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failureComputers in Biology and MedicineVolume 33. Number 4.
G. Camps, B. Porta, E. Soria, J.D. Martín, A.J. Serrano, J.J. Pérez, N.V. Jiménez.2003Prediction of Cyclosporine Dosage in Patients after Kidney Transplantation Using Neural NetworksIEEE Transactions on Biomedical EngineeringVolume 50. Number 4.
A. Serrano, A.J. Serrano, J.R. Magadalena, J.D. Martín, E. Soria, C. Domínguez, F. Estronell, F. García.2004The use of neural networks in the prediction of result of endoscopic treatment of vesicoureteral refluxBJU InternationalVolume 94.
J.D. Martín, G. Camps, E. Soria, A.J. Serrano, J.J. Pérez, N.V. Jiménez.2003Dosage individualization of erythropoietin using a profile-dependent support vector regressionIEEE Transactions on Biomedical EngineeringVolume 50. Number 10.
E. Soria, J.D. Martín, G. Camps, A.J. Serrano, L. Gómez, J. Calpe.2003A low complexity fuzzy activation function for artificial neural networksIEEE Transactions on Neural NetworksVolume 14. Number 6.
J.D. Martín, E. Soria, G. Camps, A.J. Serrano, J.R. Sepúlveda, N.V. Jiménez.2004Neural networks as effective techniques in clinical management of patients: some case studiesTransactions of the Institute of Measurement and ControlVolume 26. Number 3.
J.D. Martín, L. Gómez, G. Camps, A.J. Serrano, J. Vila, J. Calpe, E. Soria.2004Channel equalisation using a soft back-propagation learning algorithmJournal Of Electrical Engineering-Elektrotechnicky CasopisVolume 55. Number 5-6.
E. Soria, G. Camps, A.J. Serrano, J.D. Martín, A. Albert, N.V. Jiménez.2000Redes neuronales artificiales para la clasificación de pacientes con riesgo de intoxicación digitálicaRevista mexicana de ingeniería biomédicaVolume XXI. Number 1.
E. Soria, J. Calpe, J. Chambers, M. Martínez, G. Camps, J.D. Martín.2004A novel approach to introducing adaptive filtres based on the LMS algorithm and its variantsIEEE Transactions on EducationVolume 47. Number 1.
G. Camps, A. M. Chalk, A.J. Serrano, J.D. Martín, E.L. Sonnhammer.2004Profiled Support Vector Machines for Antisense Oligonucleotide Efficacy PredictionBioinformaticsVolume 5.
O. Pastor, E. Soria, J.D. Martín, G. Camps, J.L Carrasco, S. Del Valle.2005Unbiased sensitivity analysis and pruning techniques in neural networks for surface ozone modellingEcological ModellingVolume 182. Number 2.
Gustavo Camps-Valls, Antonio José Serrano, José David Martín, Emilio Soria, Victor Jiménez, Begoña Porta.2004Neural networks for C2h cyclosporine concentration modellingPharmacy World & ScienceVolume 26. Number 2.
G. Camps-Valls, J. D. Martín-Guerrero, J.L. Rojo-Álvarez and E. Soria-Olivas.2004Fuzzy Sigmoid Kernel for Support Vector ClassifiersNeurocomputingVolume 62. Number 12.
J. D. Martín, A. Palomares, E. Balaguer, E. Soria, J. Gómez, A. Soriano.2006Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithmsExpert Systems With ApplicationsVolume 30. Number 2.
A. Moreno, J. D. Martín, E. Soria, R. Magdalena, M. Martínez.2007Reinforcement Learning in noisy environments: a digital signal processing approachWSEAS transactions on signal processingVolume 3. Number 1.
C. Fernández, E. Soria, R. Magdalena, J.D. Martín, M.J. Navarro, P. Sánchez.2005Mapas autoorganizados en el manejo de las explotaciones de pequeños rumiantesGanaderiaNumber 35.
I.H.Jarman, T.A.Etchells, J.D. Martín, P.J.G. Lisboa.2008An integrated framework for risk profiling of breast cancer patients following surgeryArtificial Intelligence in MedicineVolume Aceptado.
J. D. Martín, E. Soria, M. Martínez, M. Climente, T. De Diego, N.V Jiménez.2007Validation of a Reinforcement Learning Policy for Dosage Optimization of ErythropoietinLecture Notes in Computer ScienceVolume 4830.
José D. Martín-Guerrero, Paulo J.G. Lisboa, Emilio Soria-Olivas, Alberto Palomares, Emili Balaguer.2007An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portalExpert Systems With ApplicationsVolume 33. Number 3.
C. Fernández, E. Soria, P. Sánchez-Seiquer, L. Gómez-Chova, R. Magdalena, J. D. Martín-Guerrero, M. J. Navarro, A. J. Serrano.2007Weekly milk prediction on dairy goats using neural networksNeural Computing & ApplicationsVolume 16. Number 4-5.
C. Fernández, E. Soria, R. Magdalena, J.D. Martín, C. Mata.2007Qualitative Analysis of Feed Management Practice on Goat Herds by Self-Organizing Maps in Murcia Region of SpainJournal of Applied Animal ResearchVolume 32.
E. Soria, J.D. Martín, A.J. Serrano, J.Calpe, J. Chambers.2007Steady-State and Tracking Analysis of a Robust Adaptive Filter with Low Computational CostSignal ProcessingVolume 87. Number 1.
A.J. Serrano, R. Magdalena, J.D. Martín, M. Bataller, M. Martínez, E. Soria.2007Automated Sleep Stage Scoring Using Hidden Markov Models and Multilayer Perceptron NetworksWSEAS transactions on signal processingVolume 3. Number 1.
Marcelino Martínez,Emilio Soria, Rafael Magdalena, Antonio Jose Serrano, Jose David Martín, Joan Vila.2008Comparative study of several Fir Median Hybrid Filters for blink noise removal in ElectrooculogramsWSEAS transactions on signal processingVolume 4. Number 3.
G. Camps-Valls, L. Gómez-Chova, J. Vila-Francés, J. D. Martín-Guerrero, A. J. Serrano-López, and E. Soria-Olivas.2006Enhancing decision-based neural networks through local competitionNeurocomputingVolume 69. Number 7-9.
E. Soria, G. Camps, J.D. Martín, J. Vila, A.J. Serrano.2006Non-linear RLS-based Algorithm for Pattern ClassificationSignal ProcessingVolume 86. Number 5.
E. Soria, J.D. Martín, A.J. Serrano, J. Calpe, J. Vila, G. Camps.2006Efficient Pruning of Multilayer Perceptrons Using a Fuzzy Sigmoid Activation FunctionNeurocomputingVolume 69. Number 2.
M. J. Rupérez, J. D. Martín, C. Monserrat, S. Alemany, M. Alcañiz.2008Modelling the contact of foot surface and shoe upper using artificial neural networksJournal of BiomechanicsVolume 41. Number S1.
José D. Martín, E. Soria, M. Martínez, A. J. Serrano, R. Magdalena, J. Gómez.2008Use of Reinforcement Learning in two real applicationsLecture Notes in Artificial IntelligenceVolume 5323.
Antonio Soriano-Asensi, J. D. Martín-Guerrero, E. Soria-Olivas, Alberto Palomares, Rafael Magdalena-Bendito, Antonio J. Serrano López.2008Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portalExpert Systems With ApplicationsVolume 34. Number 4.
R. Magdalena-Benedito, A.J. Serrano-Lopez, J.D. Martín-Guerrero, A. Rosado-Muñoz, M. Martinez-Sober.2008Research Group on Intelligent Data Analysis LaboratoryIEEE Transactions on EducationVolume 51. Number 4.
Emili Balaguer, Alberto Palomares, Emilio Soria, Jose David Martín-Guerrero.2008Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networksExpert Systems With ApplicationsVolume 34. Number 1.
Martín-Guerrero JD, Gómez F, Soria-Olivas E, Schmidhuber J, Climente-Martí M, Jiménez-Torres NV.2009A reinforcement learning approach for individualizing erythropoietin dosages in hemodyalisis patientsExpert Systems With ApplicationsVolume 36.
Gabriel Gómez-Pérez, José D. Martín-Guerrero, Emilio Soria-Olivasa, Emili Balaguer-Ballester, Alberto Palomares, Nicolás Casariegoc.2009Assigning discounts in a marketing campaign by using reinforcement learning and neural networksExpert Systems With ApplicationsVolume 36. Number 4.
R. Magdalena, C. Fernández, J. D. Martín, E. Soria, M. Martínez, M. J. Navarro, C. Mata.2009Qualitative analysis of goat and sheep production data using self-organizing mapsExpert SystemsVolume 26. Number 2.
C. Fernández, E. Soria, A. J. Serrano, J. D. Martín, R. Magdalena, M. Martínez.2009Simucapra: Educational Software Application for Animal Nutrition based on MATLABInternational Journal Of Engineering EducationVolume 25. Number 5.
Emilio Soria, José David Martín, Marcelino Martínez, Amparo Ayuso.2009Description and evaluation of an introductory course to Matlab for a heterogeneous group of university studentsComputer Applications in Engineering EducationVolume on-line. Number 4.
G. Camps, L. Gómez, J. Calpe, J.D. Martín, E. Soria, L. Alonso,.J. Moreno.2004Robust Support Vector Method for Hyperspectral Data Classification and Knowledge DiscoveryIEEE Transactions on Geoscience and Remote SensingVolume 42. Number 7.
Ibáñez V; Pareja E; Serrano AJ; Vila JJ; Pérez S; Martín JD; Sanjuán F; López R; Mir J.2009Predicting Early Transplant Failure: Neural Network Versus Logistic Regression ModelsThe Open Transplantation JournalVolume 3.
I. García; J.D. Martín; M. Pla; E. Soria; R. Martínez; J. Muñoz.2004Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 27. Number 3.
Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Michelle Ceccarelli, José D. Martín-Guerrero, Elia Beganzoli.2010Data Mining in Cancer Research (application notes)Ieee Computational Intelligence MagazineVolume 5. Number 1.
Emilio Soria, Juan Gómez-Sanchis, Antonio J. Serrano, Marcelino Martínez, José D. Martín, Rafael Magdalena, Joan Vila.2011BELM: Bayesian Extreme Learning MachineIEEE Transactions on Neural NetworksVolume 22. Number 3.
José M. Martínez, Pablo Escandell, Emilio Soria, José D. Martín, Rafael Magdalena, Juan Gómez.2011Regularized Extreme Learning Machine for regression problemsNeurocomputingVolume 74. Number 17.
I. Cattinelli, E. Bolzoni, C. Barbieri, F. Mari, J.D. Martín-Guerrero, E. Soria-Olivas, J.M. Martínez-Martínez, J. Gómez-Sanchis, C. Amato, A. Stopper, E. Gatti.2012Research Group on Intelligent Data Analysis LaboratoryHealth Care Management ScienceNumber 15.
M. J. Rupérez, J. D. Martín, C. Monserrat, M. Alcañiz.2012Artificial neural networks for predicting dorsal pressures on the foot surface while walkingExpert Systems With ApplicationsVolume 39. Number 5.
José D. Martín Guerrero, Daniele Marcelli, Emilio Soria-Olivas, Flavio Mari, José María Martínez-Martínez, Isabel Soley Bech, Marcelino Martínez-Sober Laura Scatizzi, Juan Gómez-Sanchis, Andrea Stopper, Antonio José Serrano-López, Emanuele Gatti.2012Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patientsExpert Systems With ApplicationsVolume 39. Number 10.
Guerrero Martínez, Juan F.; Caravaca Moreno, Juan; Martínez Sober, Marcelino; Soria Olivas, Emilio; Magdalena Benedito, José Rafael; Martín Guerrero, José David; Calpe Maravilla, Javier; Gómez Chova, Luis; Serrano López, Antonio J. y Gómez Sanchis, Juan.2011Research Group on Intelligent Data Analysis Laboratory@tic. Revista d'innovació educativaNumber 6.
J. Gómez-Sanchis, J. D. Martín, E. Soria, M. Martínez, R. Magdalena, J. Blasco.2012Detecting rottenness caused by Penicillium genus fungiin citrus fruits using machine learning techniquesExpert Systems With ApplicationsVolume 39.
F. Martínez-Martínez; M. J. Rupérez; J. D. Martín-Guerrero; C. Monserrat; E. Pareja; R. López-Andújar; S. Brugger.2013Parameter optimization of the liver tissue mechanical properties by means of FE modeling of the respiratory liver motion and similarity coefficientsInternational Journal Of Computer Assisted Radiology And SurgeryVolume 8. Number S1.
José M. Blasco; Enrique Sanchis; Vicente González; José D. Martín; Francisco J. Egea; Diego Barrientos; Domingo Granero; Enrique Sanchis-Sánchez.2013Research Group on Intelligent Data Analysis LaboratoryIEEE Transactions on Nuclear ScienceVolume 60. Number 5.
Sandra Ortega-Martorell; Héctor Ruiz; Alfredo Vellido; Iván Olier; Enrique Romero; Margarida Julià-Sapé; José D. Martín; Ian H. Jarman; Carles Arús; Paulo J. G. Lisboa.2013Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 8. Number 12.
Héctor Ruíz; Terence A. Etchells; Ian H. Jarman; José D. Martín; Paulo J. G. Lisboa.2013Research Group on Intelligent Data Analysis LaboratoryNeurocomputingVolume 112.
F. Martínez-Martínez; M. J. Rupérez; J. D. Martín-Guerrero; C. Monserrat; M. A. Lago; E. Pareja; S. Brugger; R. López-Andújar.2013Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in BiomedicineVolume 111. Number 3.
M. A. Valdés-Mas; J. D. Martín-Guerrero; M. J. Rupérez; F. Pastor; C. Dualde; C. Monserrat; C. Peris-Martínez.2014Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in BiomedicineVolume 116. Number 1.
Pablo Escandell-Montero; José M. Martínez-Martínez; José D. Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchis.2014Least-squares temporal difference learning based on an extreme learning machineNeurocomputingVolume 141.
Pablo Escandell-Montero; Milena Chermisi; José M. Martínez-Martínez; Juan Gómez-Sanchis; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Joan Vila-Francés; Andrea Stopper; Emanuele Gatti; José D. Martín-Guerrero.2014Optimization of anemia treatment in hemodialysis patients via reinforcement learningArtificial Intelligence in MedicineVolume 62. Number 1.
José M. Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano López; Marcello Bassi; Rafael Magdalena-Benedito; Andrea Stopper; José D. Martín-Guerrero; Emanuele Gatti.2014Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in BiomedicineVolume 117. Number 2.
Carlo Barbieri; Flavio Mari; Andrea Stopper; Emanuele Gatti; Pablo Escandell-Montero; José M. Martínez-Martínez; José D. Martín-Guerrero.2015Research Group on Intelligent Data Analysis LaboratoryComputers in Biology and MedicineVolume 61.
Enrique Sanchis-Sánchez; Rosario Salvador-Palmer; Pilar Codoñer-Franch; José Martín; Carlos Vergara-Hernández; José Blasco; Enrique Sanchis; Rolando González-Peña; Rosa Cibrián.2015Research Group on Intelligent Data Analysis LaboratoryEuropean Journal of PediatricsVolume 174. Number 4.
José María Blasco, E. Sanchis, D. Granero, J.D. Martín, V. González, E. Sanchis-Sánchez.2015Research Group on Intelligent Data Analysis LaboratoryNuclear Instruments & Methods in Physics Research Section A-Accelerators Spectrometers Detectors and Associated EquipmentVolume 784.
Paulo J.G. Lisboa; José D. Martín-Guerrero; Alfredo Vellido.2015Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 42. Number 22.
Carlo Barbieri; Elena Bolzoni; Flavio Mari; Isabella Cattinelli; Francesco Bellocchio; José D. Martin; Claudia Amato; Andrea Stopper; Emanuele Gatti; Iain C. Macdougall; Stefano Stuard; Bernard Canaud.2016Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis PatientsPlos OneVolume 11. Number 3.
Pablo Escandell Montero; Delia Lorente; José M. Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José D. Martín-Guerrero.2016Research Group on Intelligent Data Analysis LaboratoryKnowledge-Based SystemsVolume 100.
José María Blasco-Igual; Enrique Sanchis-Sanchez; Jose David Martín; Enrique Sanchis; Rosario Salvador-Palmer; Rosa Cibrián.2016Research Group on Intelligent Data Analysis LaboratoryInfrared Physics & TechnologyVolume 76.
José M. Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José D. Martín-Guerrero; Antonio J. Serrano-López.2016A new visualization tool for data mining techniquesProgress in Artificial IntelligenceVolume 5. Number 2.
D. Lorente; F. Martínez-Martínez; M.J. Rupérez; M.A. Lago; M. Martínez-Sober; P. Escandell-Montero; J.M. Martínez-Martínez; S. Martínez-Sanchis; A.J. Serrano-López; C. Monserrat; J.D. Martín-Guerrero.2017A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learningExpert Systems With ApplicationsVolume 71.
Unai Alvarez-Rodriguez; Lucas Lamata; Pablo Escandell-Montero; José D. Martín-Guerrero; Enrique Solano.2016Research Group on Intelligent Data Analysis LaboratoryarXiv.org
José M. Martínez-Martínez; José D. Martín-Guerrero; Emilio Soria-Olivas; José A. Bernabeu; Pablo Escandell-Montero; Rafael Hernández Stark; Antonio J. Serrano-López; Enrique Montiel.2017Research Group on Intelligent Data Analysis LaboratoryNeural Computing & ApplicationsVolume 28. Number 7.
Raúl Casaña-Eslava; Ian H. Jarman; Paulo J. G. Lisboa; José D. Martín-Guerrero.2017Research Group on Intelligent Data Analysis LaboratoryNeurocomputingVolume 268.
Unai Alvarez-Rodriguez; Lucas Lamata; Pablo Escandell-Montero; José D. Martín-Guerrero; Enrique Solano.2017Supervised Quantum Learning without MeasurementsScientific ReportsVolume 7. Number Paper no 13645.
F. Martínez-Martínez; M.J. Rupérez; M. Martínez-Sober; D. Lorente; A.J. Serrano-López; S. Martínez-Sanchis; C. Monserrat; J.D. Martín-Guerrero.2017Research Group on Intelligent Data Analysis LaboratoryComputers in Biology and MedicineVolume 90.
Lucas Lamata; Unai Álvarez-Rodríguez; José D. Martín-Guerrero; Mikel Sanz; Enrique Solano.2019Research Group on Intelligent Data Analysis LaboratoryQuantum Science And TechnologyVolume 4. Number 1.
C. Fernández; M. L. Mocé; C. Mata; E. Soria; A.J. Serrano; J.D. Martín.2006Situación del sector caprino lechero en la Región de MurciaGanaderiaNumber 43.
Raúl V. Casaña-Eslava; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Ian H. Jarman; José D. Martín-Guerrero.2019Research Group on Intelligent Data Analysis LaboratoryarXiv.org
Gorka Muñoz-Gil; Miguel Angel Garcia-March; Carlo Manzo; José D. Martín-Guerrero; Maciej Lewenstein.2019Research Group on Intelligent Data Analysis LaboratoryarXiv.org
Ana Martín; Bruno Candelas; Ángel Rodríguez-Rozas; José D. Martín-Guerrero; Xi Chen; Lucas Lamata; Román Orús; Enrique Solano; Mikel Sanz.2021Research Group on Intelligent Data Analysis LaboratoryPhysical Review ResearchVolume 3. Number 013167.
Yongcheng Ding; Lucas Lamata; Mikel Sanz; José D. Martín-Guerrero; Enrique Lizaso; Samuel Mugel; Xi Chen; Román Orús; Enrique Solano.2019Research Group on Intelligent Data Analysis LaboratoryarXiv.org
Oscar J. Pellicer-Valero; María José Rupérez; Sandra Martínez-Sanchis; José D. Martín-Guerrero.2020Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 143-113083.
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano.2020Research Group on Intelligent Data Analysis LaboratoryPhysical Review LettersVolume 124. Number 140504.
Gorka Muñoz-Gil; Miguel Angel Garcia-March; Carlo Manzo; José D. Martín-Guerrero; Maciej Lewenstein.2020Research Group on Intelligent Data Analysis LaboratoryNew Journal of PhysicsVolume 22. Number 013010.
Raúl V. Casaña-Eslava; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Ian J. Jarman; José D. Martín-Guerrero.2020Research Group on Intelligent Data Analysis LaboratoryKnowledge-Based SystemsVolume 194. Number 105567.
Oscar J. Pellicer-Valero; Isabella Cattinelli; Luca Neri; Flavio Mari; José D. Martín-Guerrero; Carlo Barbieri.2020Research Group on Intelligent Data Analysis LaboratoryArtificial Intelligence in MedicineVolume 107. Number 101898.
Raúl Vicente Casaña-Eslava; Sandra Ortega-Martorell; Paulo J. Lisboa; Ana Paula Candiota; Margarida Julià-Sapé; José David Martín-Guerrero; Ian H. Jarman.2020Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 15. Number 7.
Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Margarita I. Cigarán-Méndez; Carmen Écija-Gallardo; César Fernández-de-las-Peñas; Esperanza Navarro-Pardo.2020Research Group on Intelligent Data Analysis LaboratorySymmetry-BaselVolume 12. Number 10 (1581).
Oscar J. Pellicer-Valero; César Fernández-de-las-Peñas; José D. Martín-Guerrero; Esperanza Navarro-Pardo; Margarita I. Cigarán-Méndez; Lidiane L. Florencio.2020Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 10. Number 24 (9109).
Alessio Galassi; José D. Martín-Guerrero; Eduardo Villamor; Carlos Monserrat; and María José Rupérez.2020Research Group on Intelligent Data Analysis LaboratoryApplied Bionics And BiomechanicsNumber 8880786.
Oscar J. Pellicer-Valero; Victor Gonzalez-Perez; Juan Luis Casanova Ramón-Borja; Isabel Martín García; María Barrios Benito; Paula Pelechano Gómez; José Rubio-Briones; María José Rupérez; José D. Martín-Guerrero.2021Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 11. Number 2 (844).
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 D. Martín-Guerrero.2022Research Group on Intelligent Data Analysis LaboratoryScientific ReportsVolume 12. Number 2975.
Yongcheng Ding; Yue Ban; José D. Martín-Guerrero; Enrique Solano; Jorge Casanova; Xi Chen.2021Research Group on Intelligent Data Analysis LaboratoryPhysical Review aVolume 103. Number 4-L040401.
Oscar J. Pellicer-Valero; José D. Martín-Guerrero; César Fernández-de-las-Peñas; Ana I. De-la-Llave-Rincón; Jorge Rodríguez-Jiménez; Esperanza Navarro-Pardo; Margarita I. Cigarán-Méndez.2021Research Group on Intelligent Data Analysis LaboratorySymmetry-BaselVolume 13. Number 6 .
Raúl V. Casaña-Eslava; Ian H. Jarman; Sandra Ortega-Martorell; Paulo J. G. Lisboa; José D. Martín-Guerrero.2021Research Group on Intelligent Data Analysis LaboratoryNeural Computing & ApplicationsVolume 33. Number 13.
Alfredo G. Casanova; Mykola Harvat; Laura Vicente-Vicente; Óscar J. Pellicer-Valero; Ana I. Morales; Francisco J. López-Hernández; José D. Martín-Guerrero.2021Research Group on Intelligent Data Analysis LaboratoryAntioxidantsVolume 10. Number 9.
José D. Martín-Guerrero; Lucas Lamata.2021Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 11. Number 18 (8589).
César Fernández-de-las-Peñas; Oscar J. Pellicer-Valero; Esperanza Navarro-Pardo; Margarita Cigarán-Méndez; Jorge Rodríguez-Jiménez; José D. Martín-Guerrero.2021Research Group on Intelligent Data Analysis LaboratoryJournal of Psychosomatic ResearchVolume 150. Number 110625.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; Esperanza Navarro-Pardo; Juan Torres-Macho; Gabriela Canto-Diez; Oscar J. Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryInternal And Emergency MedicineVolume 17. Number 2.
Carlo Barbieri; Luca Neri; Milena Chermisi; Elena Bolzoni; Isabella Cattinelli; Wolfgang Decker; José D. Martín-Guerrero; Flavio Mari.2021Research Group on Intelligent Data Analysis LaboratoryExpert Review Of Medical DevicesVolume 18. Number 11.
C. Fernández-de-Las-Peñas; J.D. Martín-Guerrero; E. Navarro-Pardo; S. Fuensalida-Novo; M. Palacios-Ceña; M. Velasco-Arribas; O.J. Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryClinical RheumatologyVolume 41. Number 2.
Rui Wang; Carlos Hernani-Morales; José D. Martín-Guerrero; Enrique Solano; Francisco Albarrán-Arriagada.2021Research Group on Intelligent Data Analysis LaboratoryQuantum Science And TechnologyVolume 7. Number 1.
José D. Martín-Guerrero; Lucas Lamata.2022Research Group on Intelligent Data Analysis LaboratoryNeurocomputingVolume 470.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; Oscar J. Pellicer-Valero; Esperanza Navarro-Pardo; Víctor Gómez-Mayordomo; María L. Cuadrado; José A. Arias-Navalón; Margarita Cigarán-Méndez; Valentín Hernández-Barrera; Lars Arendt-Nielsen.2022Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 11. Number 2.
César Fernández-de-las-Peñas; Oscar J. Pellicer-Valero; Esperanza Navarro-Pardo; Domingo Palacios-Ceña; Lidiane L. Florencio; Carlos Guijarro; José D. Martín-Guerrero.2022Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Infectious DiseasesVolume 116.
E. R. Miranda; S. Venkatesh; J. D. Martín-Guerrero; C. Hernani-Morales; L. Lamata; E. Solano.2022Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Unconventional ComputingVolume 17. Number 3.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; E. Navarro-Pardo; Jorge Rodríguez-Jiménez; Oscar J. Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryJournal of InfectionVolume 84. Number 2.
César Fernández-de-Las-Peñas; José D Martín-Guerrero; Esperanza Navarro-Pardo; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Oscar J Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryJournal of General Internal MedicineVolume 37. Number 7.
César Fernández-de-Las-Peñas; José D Martín-Guerrero; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Oscar J Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Infectious DiseasesVolume 117.
César Fernández-de-Las-Peñas; José D Martín-Guerrero; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Esperanza Navarro-Pardo; Oscar J Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryJournal of InfectionVolume 84. Number 5.
César Fernández-de-Las-Peñas; José D Martín-Guerrero; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Oscar J Pellicer-Valero.2023Research Group on Intelligent Data Analysis LaboratoryPsychological MedicineVolume 53. Number 9.
César Fernández-de-Las-Peñas; Ana I de-la-Llave-Rincón; Ricardo Ortega-Santiago; Silvia Ambite-Quesada; Víctor Gómez-Mayordomo; María L Cuadrado; José A Arias-Navalón; Valentín Hernández-Barrera; José D Martín-Guerrero; Oscar J Pellicer-Valero; Lars Arendt-Nielsen.2022Research Group on Intelligent Data Analysis LaboratoryPainVolume 163. Number 9.
Ming-Zhong Ai; Yongcheng Ding; Yue Ban; José D. Martín-Guerrero; Jorge Casanova; Jin-Ming Cui; Yun-Feng Huang; Xi Chen; Chuan-Feng Li; Guang-Can Guo.2022Research Group on Intelligent Data Analysis LaboratoryScience China-Physics Mechanics & AstronomyVolume 65. Number 5.
Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; Rafael Magdalena-Benedicto; Xi Chen.2022Research Group on Intelligent Data Analysis LaboratoryPhysical Review ResearchVolume 4.
Óscar J. Pellicer-Valero; Giampiero A. Massaro; Alfredo G. Casanova; María Paniagua-Sancho; Isabel Fuentes-Calvo; Mykola Harvat; José D. Martín-Guerrero; Carlos Martínez-Salgado; Francisco J. López-Hernández.2022Research Group on Intelligent Data Analysis LaboratoryBiomedicinesVolume 10. Number 3.
Margarita I. Cigarán-Méndez; Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Umat Varol; Carmen Écija-Gallardo; César Fernández-de-las-Peñas; Esperanza Navarro-Pardo; Juan A. Valera-Calero.2022Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 19. Number 8.
Eduardo R. Miranda; José D. Martín-Guerrero; Satvik Venkatesh; Carlos Hernani-Morales; Lucas Lamata; Enrique Solano.2022Research Group on Intelligent Data Analysis LaboratoryElectronicsVolume 11. Number 10.
César Fernández-de-Las-Peñas; José D Martín-Guerrero; Esperanza Navarro-Pardo; Juan Torres-Macho; Carlos Guijarro; Oscar J Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryJournal of Medical VirologyVolume 94. Number 7.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; Ignacio Candela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Oscar J. Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryEuropean Journal Of Internal MedicineVolume 101.
César Fernández-de-las-Peñas; Ignacio Cancela-Cilleruelo; Jorge Rodríguez-Jiménez; Víctor Gómez-Mayordomo; Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Valentín Hernández-Barrero; Lars Arendt-Nielsen; Juan Torres Macho.2022Research Group on Intelligent Data Analysis LaboratoryPathogensVolume 11.
Mykola Harvat; José D. Martín-Guerrero.2022Research Group on Intelligent Data Analysis LaboratoryNeurocomputingVolume 502.
César Fernández-de-las-Peñas; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Víctor Gómez-Mayordomo; Juan Torres-Macho; Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Valentín Hernández-Barrera; Lars Arednt-Nielsen.2022Research Group on Intelligent Data Analysis LaboratoryBiomedicinesVolume 10. Number 8.
César Fernández-de-las-Peñas; Ricardo Ortega-Santiago; Stella Fuensalida-Novo; José D. Martín-Guerrero; Oscar J. Pellicer-Valero; Juan Torres-Macho.2022Research Group on Intelligent Data Analysis LaboratoryVaccinesVolume 10. Number 9.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; Ignacio Cancela-Cilleruelo; Jorge Rodríguez-Jiménez; Paloma Moro-López-Menchero; Oscar J. Pellicer-Valero.2022Research Group on Intelligent Data Analysis LaboratoryJournal of NeurologyVolume 269.
César Fernández-de-las-Peñas; María L. Cuadrado; Víctor Gómez-Mayordomo; Juan Torres-Macho; Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Lars Arendt-Nielsen.2022Research Group on Intelligent Data Analysis LaboratoryHeadacheVolume 62. Number 9.
César Fernández-de-las-Peñas; Jorge Rodríguez-Jiménez; Ignacio Cancela-Cilleruelo; Angel Guerrero-Peral; José D. Martín-Guerrero; David García-Azorín; Ana Cornejo-Mazzuchelli; Valentín Hernández-Barrera; Oscar J. Pellicer-Valero.2022Post-COVID Symptoms Two-Years after SARS-CoV-2 Infection among Hospitalized versus Non-Hospitalized COVID-19 SurvivorsJama Network OpenVolume 5. Number 11.
César Fernández-de-las-Peñas; Ignacio Cancela-Cilleruelo; Paloma Moro-López-Menchero; Jorge Rodríguez-Jiménez; Oscar J. Pellicer-Valero; José D. Martín-Guerrero; Lars Arendt-Nielsen.2023Research Group on Intelligent Data Analysis LaboratoryPainVolume 164. Number 2.
César Fernández-de-las-Peñas; Juan Torres-Macho; Carlos Guijarro; José D. Martín-Guerrero; Oscar Pellicer-Valero; Gustavo Plaza-Manzano.2023Research Group on Intelligent Data Analysis LaboratoryVirusesVolume 15. Number 5.
César Fernández-de-las-Peñas; José D. Martín-Guerrero; Lidiane L. Florencio; Esperanza Navarro-Pardo; Jorge Rodríguez-Jiménez; Juan Torres-Macho; Oscar J. Pellicer-Valero.2023Research Group on Intelligent Data Analysis LaboratoryInfectionVolume 51. Number 1.
Yongcheng Ding; Javier González-Conde; Lucas Lamata; José D. Martín-Guerrero; Enrique Lizaso; Samuel Mugel; Xi Chen; Román Orús; Enrique Solano; Mikel Sanz.2023Research Group on Intelligent Data Analysis LaboratoryEntropyVolume 25. Number 2.
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D. Martín-Guerrero.2023Research Group on Intelligent Data Analysis LaboratoryMachine Learning-Science And TechnologyVolume 4.
César Fernández-de-las-Peñas; Ignacio Cancela-Cilleruelo; Jorge Rodríguez-Jiménez; Stella Fuensalida-Novo; José D. Martín-Guerrero; Oscar J. Pellicer-Valero; Ana I. De-la-Llave-Rincón.2023Research Group on Intelligent Data Analysis LaboratoryBiomedicinesVolume 11. Number 7.
César Fernández-de-las-Peñas; Ricardo Ortega-Santiago; Ignacio Cancela-Cilleruelo; Jorge Rodríguez-Jiménez; Stella Fuensalida-Novo; José D. Martín-Guerrero; Oscar J. Pellicer-Valero; Margarita Cigarán-Méndez.2023Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 112. Number 13.
César Fernández-de-Las-Peñas; Juan Antonio Valera-Calero; Lars Arendt-Nielsen; José D Martín-Guerrero; Margarita Cigarán-Méndez; Esperanza Navarro-Pardo; Oscar J. Pellicer-Valero.2023Research Group on Intelligent Data Analysis LaboratoryPain MedicineVolume 24. Number 7.
Isabel Fuentes-Calvo; Eva María Baranda Alonso; Noelia Diaz-Morales; Óscar Pellicer-Valero; Giampiero A. Massaro; Alfredo G. Casanova; María Paniagua Sancho; Mykola Harvat; José D. Martín; Carlos Martinez Salgado; Francisco J. Lopez-Hernandez.2023Research Group on Intelligent Data Analysis LaboratoryNephrology Dialysis TransplantationVolume 38. Number Issue Supp. 1.
Carlo Barbieri; Luca Neri; Stefano Stuard; Flavio Mari; José D Martín-Guerrero.2023Research Group on Intelligent Data Analysis LaboratoryClinical Kidney JournalVolume 16. Number 11.
César Fernández-de-las-Peñas; Ignacio Cancela-Cilleruelo; Jorge Rodríguez-Jiménez; José A. Arias-Navalón; José D. Martín-Guerrero; Oscar J. Pellicer-Valero; Lars Arendt-Nielsen; Margarita Cigarán-Méndez.2023Research Group on Intelligent Data Analysis LaboratoryFrontiers In Human NeuroscienceVolume 17.
Journal Publications
Emilio Soria Olivas, José David Martín Guerrero, Luis Gómez Chova.,2004.Teoría de Circuitos.....
Emilio Soria Olivas, José David Martín Guerrero.,2000.Problemas de análisis de circuitos.....
Emilio Soria Olivas, José David Martín Guerrero.,2001.Problemas de análisis de circuitos.....
Emilio Soria Olivas, José David Martín Guerrero, Luis Gómez Chova, José Sepúlveda Sanchis.,2001.Problemas de análisis de circuitos (2ª edición).....
G. Camps, J.V. Francés, J. D. Martín.,2000.Máster de especialización: Comercio Electrónico en el mercado global. Vol. III. Herramientas telemáticas.....
G. Camps, J. D. Martín, A. Rosado, A. J. Serrano.,2000.Certificado de especialización: Comercio Electrónico. Vol. III. Herramientas telemáticas.....
J.V. Francés, J.D. Martín, R. Magdalena, M. Martínez.,2000.Master de Especialización 'Comercio Electrónico en el mercado global'. Del Hipertexto a la Multimedia...Volume. 4..
J. D. Martín Guerrero, G. Camps Valls, J. Amorós López, L. Gómez Chova, J. Vila Francés.,2004.Máster en Nuevas Tecnologías de la Administración Pública: Herramientas Telemáticas.....
J. Amorós López, J. D. Martín Guerrero, L. Gómez Chova, J. Muñoz Marí, J. Vila Francés.,2004.Máster en Nuevas Tecnologías de la Administración Pública: El Comercio Electrónico desde la Perspectiva.....
José David Martín Guerrero.,1999.Implementación de redes neuro-difusas para ser aplicadas en problemas de clasificación y modelización.....
A.J. Serrano, J.V. Francés. A. Blanco, L. Gómez, J. Vila.,2004.Master Universitario 'Nuevas Tecnologías en la Administración Pública'. Hipertexto y Multimedia...Volume. 3..
G. Camps-Valls, L. Gomez-Chova, J. Calpe-Maravilla, J. Muñoz-Marí, J. D. Martín-Guerrero, L. Alonso-Chordá, and J. Moreno.,2006.Hyperspectral kernel classifiers..Pattern Recognition: Progress, Directions and Applications...
Gustavo Camps-Valls and José D. Martín-Guerrero.,2006.Neural and kernel methods for Therapeutic Drug Monitoring..Artificial Neural Networks in Health Sciences....
Emilio Soria; José David Martín; Paulo Lisboa.,2006.Classical Training Methods..Metaheuristic procedures for training neural networks. E. Alba; R. Martí, Editors...
Emilio Soria, José David Martín, Antonio José Serrano, Daniel Aguado.,2007.Análisis de datos experimentales.....
José D. Martín-Guerrero, Emilio Soria-Olivas, P.J.G. Lisboa, Antonio J. Serrano-López.,2008.An AI walk from Pharmacokinetics to Marketing..Encyclopedia of Artificial Intelligence.Volume. I..
María J. Rupérez, José D. Martín-Guerrero, Carlos Monserrat, Mariano Alcañiz.,2010.Neural networks for modeling the contact foot-shoe upper..Handbook of Research on Machine Learning Applications & Trends: Algorithms, Methods and Techniques...
Emilio Soria-Olivas, José David Martín-Guerrero, Marcelino Martínez, Antonio J. Serrano-López, José R. Magdalena.,2009.Non-Gaussian Adaptive Filtering..New Signal Processing Research, Editor: Takumi Maeda...
E. Soria, J.D. Martín, M. Martínez, J.R. Magdalena, A.J. Serrano.,2010.Handbook of research on machine learning applications and trends; Algorithms, methods and techniques.....
E. Soria, José D. Martín, J. Caravaca, A. J. Serrano, M. Martínez, R. Magdalena, J. Gómez, M. Heras, G. Sanz.,2009.Survival prediction in patients undergoing ischemic cardiopathy..Proceedings of the International Joint Conference on Artificial Neural Networks (IJCNN 2009)...
Álvaro Moreno, E. Soria, J. García, José D. Martín-Guerrero, R. Magdalena.,2010.Neural models for rainfall forecasting..Soft Computing Methods for Practical Environmental Solutions: Techniques and Studies....
J. D. Martín, E. Soria, A. Soldevila, M. Climente, L. M. Pallardó and N. V. Jiménez.,2010.Hemoglobin level Analysis In hemodialysis patients treated with erythropoiesis stimulating agents: a neural network approach..Intelligent Medical Technologies and Biomedical Engineering: Tools and Applications....
J. D. Martín, E. Soria, M. Martínez, A. J. Serrano, R. Magdalena and J. Gómez.,2011.Usual difficulties in the application of reinforcement learning to real-life problems: proposals of solving..Progress in Education..Volume. 21..
P. J. G. Lisboa, A. Vellido, J. D. Martín.,2010.Computational intelligence in biomedicine: some contributions..Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010)....
E. Soria, J. D. Martín, M. Climente, A. Soldevila, A. J. Serrano.,2010.Neural models for the analysis of kidney disease patients..Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010)....
A. J. Serrano, E. Soria, J. D. Martín, R. Magdalena, J. Gómez.,2010.Feature selection using ROC curves on classification problems..Proceedings of the 2010 IEEE International Joint Conference on Neural Networks (IJCNN)....
Pablo Escandell-Montero, José M. Martínez-Martínez, José D. Martín-Guerrero, Emilio Soria-Olivas, Joan Vila-Francés, Rafael Magdalena-Benedito.,2011.Adaptive treatment of anemia on hemodialysis patients: a Reinforcement Learning Approach..Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)....
I. H. Jarman, T. A. Etchells, P. J. G. Lisboa, C. M. Beynon, J. D. Martín.,2011.Clustering categorical data: a stability analysis framework..Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)....
José M. Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José D. Martín-Guerrero, Marcelino Martínez-Sober, Juan Gómez-Sanchis.,2011.Sectors on Sectors (SonS): a new hierarchical clutering visualization tool..Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining (CIDM 2011)....
A. Vellido, J. D. Martín, F. Rossi, P. J. G. Lisboa.,2011.Seeing is believing: the importance of visualization in real-world machine learning applications..Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011)....
José M. Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José D. Martín-Guerrero, Juan Gómez-Sanchis, Joan Vila-Francés.,2011.Growing Hierarchical Sectors on Sectors..Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011)....
V. Buendía, E. Soria, J. D. Martín, Pablo Escandell-Montero, José M. Martínez-Martínez.,2011.Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps..Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011)....
H. Ruiz, I. H. Jarman, J. D. Martín, P. J. G. Lisboa.,2011.The role of Fisher information in primary data space for neighbourhood mapping..Proceedings of the 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011)....
José M. Martínez-Martínez, Pablo Escandell-Montero, Emilio Soria-Olivas, José D. Martín-Guerrero, Juan Gómez-Sanchis, Joan Vila-Francés.,2012.Extended visualization method for classification trees..Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012)....
A. Vellido, J. D. Martín, P. J. G. Lisboa.,2012.Making machine learning models interpretable..Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012)....
H. Ruiz, S. Ortega-Martorell, I. H. Jarman, J. D. Martín, P. J. G. Lisboa.,2012.Constructing similarity networks using the Fisher information metric..Proceedings of the 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012)....
Pablo Escandell-Montero; José M. Martínez-Martínez; José D. Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchis.,2013.Least-Squares Temporal Difference Learning based on Extreme Learning Machine..Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013)....
F. Mateo, M. Millán, J. J. Carrasco, E. Montiel, J. A. Bernabeu, J. D. Martín.,2013.Feature selection for footwear shape estimation..Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013)....
Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, Alfredo Vellido, José D. Martin, Enrique Romero, Paulo J. G. Lisboa.,2012.Towards Interpretable Classifiers with Blind Signal Separation..Proceedings of the 2012 IEEE International Joint Conference on Neural Networks (IJCNN) - IEEE World Congress on Computational Intelligence 2012 (WCCI 2012)...
José M. Martínez-Martínez; Pablo Escandell-Montero; José D. Martín-Guerreo; Joan Vila-Francés; Emilio Soria-Olivas.,2013.ManiSonS: a new visualization tool for manifold clustering..Proceedings of the 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013)....
Pablo Escandell-Montero; José M. Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José D. Martín-Guerrero.,2014.Ensembles of Extreme Learning Machine Networks for Value Prediction..Proceedings of the 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014)...
M. A. Valdés; J. D. Martín; M. J. Rupérez; C. Monserrat; C. Peris.,2014.Aplicación de métodos de aprendizaje automático a la planificación de la cirugía del queratocono. Redes neuronales..Biomecánica y arquitectura corneal....
Emilio Soria-Olivas; José David Martín-Guerrero; Josep Redón; María Téllez; Joan Vila-Francés.,2015.Improving mortality prediction in cardiovascular risk patients by balancing classes..2015 IEEE 15th International Conference on Data Mining Workshops...
José D. Martín-Guerrero; María J. Rupérez-Moreno; Francisco Martínez-Martínez; Delia Lorente-Garrido; Antonio J. Serrano-López; Carlos Monserrat; Sandra Martínez-Sanchis; Marcelino Martínez-Sober.,2016.Machine Learning for modeling the biomechanical behavior of human soft tissue..2016 IEEE 16th International Conference on Data Mining Workshops...
José D. Martín-Guerrero; Paulo J. G. Lisboa; Alfredo Vellido.,2016.Physics and Machine Learning: Emerging Paradigms..Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016)...
Raúl V. Casaña-Eslava; José D. Martín-Guerrero; Ian H. Jarman; Paulo J. G. Lisboa.,2016.Performance assessment of quantum clustering in non-spherical data distributions..Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016)...
Enrique Sanchis-Sánchez; Rosario Salvador-Palmer; Pilar Codoñer-Franch; Jose Martín-Guerrero; Carlos Vergara-Hernández; Jose María Blasco; Esther Ballester; Enrique J Sanchis; Rolando González-Peña; Jose I. Priego-Quesada; Rosa M Cibrián.,2017.Clinical applications: infrared thermal diagnosis of orthopaedic injuries in childhood..Innovative Research in Thermal Imaging for Biology and Medicine...
Claudio Gallicchio; José D. Martín-Guerrero; Alessio Micheli; Emilio Soria-Olivas.,2017.Randomized Machine Learning Approaches: Recent Developments and Challenges..Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017)...
D. Bacciu; Paulo J. G. Lisboa; José D. Martín-Guerrero; R. Stoeam; Alfredo Vellido.,2018.Bioinformatics and medicine in the era of deep learning..Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)...
Alfredo Vellido; Karina Gibert; Cecilio Angulo; José D. Martín-Guerrero (Editors).,2019.Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019..Coleccción "Advances in Intelligent Systems and Computing" - 976...
D. Bacciu; Battista Biggio; Paulo J. G. Lisboa; José D. Martín-Guerrero; L. Oneto; Alfredo Vellido.,2019.Societal Issues in Machine Learning: When Learning from Data is Not Enough..Proceedings of the 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019)...
Raúl V. Casaña-Eslava; José D. Martín-Guerrero; Sandra Ortega-Martorell; Paulo J. G. Lisboa; Ian H. Jarman.,2019.Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric..Proceedings of the 2019 IEEE International Joint Conference on Neural Networks (IJCNN), paper N-19892. DOI 10.1109/IJCNN.2019.8851870...
Enrique Sanchis-Sánchez ; Rosario Salvador-Palmer ; Pilar Codoñer-Franch ; Jose Martín-Guerrero ; Carlos Vergara-Hernández ; Jose María Blasco ; Esther Ballester ; Enrique J. Sanchis ; Rolando González-Peña; Jose I. Priego-Quesada ; Rosa M. Cibrián.,2020.Clinical Applications: Infrared Thermal Diagnosis of Orthopaedic Injuries in Childhood..Disruptive Technology: Concepts, Methodologies, Tools, and Applications...
Oscar J. Pellicer-Valero; María J. Rupérez-Moreno; José D. Martín-Guerrero.,2020.Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation..Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020)...
José D. Martín-Guerrero; Lucas Lamata.,2020.Quantum Machine Learning..Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2020)...
Óscar J. Pellicer-Valero; Carlo Barbieri; Flavio Mari; José D. Martín-Guerrero.,2021.AIM in Hemodialysis..Artificial Intelligence in Medicine (Editors: Lidströmer N.; Ashrafian H.)...
Alfredo Vellido; Paulo J. G. Lisboa; José D. Martín-Guerrero.,2022.The Need for Interpretable and Explainable Deep Learning in Medicine and Healthcare..Deep Learning in Biology and Medicine (Editors: Davide Bacciu, Paulo J. G. Lisboa, Alfredo Vellido)...
José D. Martín-Guerrero; Lucas Lamata.,2021.Special Issue "Machine Learning and Physics"..Applied Sciences (eISSN: 2076-3417), vol. 11...
Oscar J. Pellicer-Valero; Maria José Rupérez; Victor Gonzalez-Perez; José D. Martín-Guerrero.,2023.Deep learning contributions for reducing the complexity of prostate biomechanical models..Reduced Order Models for the Biomechanics of Living Organs...
José D. Martín-Guerrero; Lucas Lamata; Thomas Villmann.,2023.Quantum Artificial Intelligence: A tutorial..Proceedings of the 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2023)...
Other publications
Burjassot/Paterna Campus
Av. Universitat, s/n
46100 Burjassot (Valencia)
- SERRANO LOPEZ, ANTONIO JOSE
- PDI-Titular d'Universitat
- Coordinador/a Curs
