Application of adaptive signal processing for determining the limits of P and T waves in an ECG. - Emilio Soria-Olivas; Marcelino Martínez-Sober; Javier Calpe-Maravilla; Juan-Francisco Guerrero-Martínez; Javier Chorro-Gascó; José Espí-López (IEEE Trans. Biomed. Eng., 1998)

Foetal ECG recovery using dynamic neural networks. - Gustavo Camps-Valls; Marcelino Martínez-Sober; Emilio Soria-Olivas; José Rafael Magdalena Benedicto; Javier Calpe-Maravilla; Juan Guerrero-Martínez (Artif. Intell. Medicine, 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)

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)

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)

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)

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)

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)

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)

Regularized Committee of Extreme Learning Machine for Regression Problems. - Pablo Escandell-Montero; José María Martínez-Martínez; Emilio Soria-Olivas; Josep Guimerá-Tomás; Marcelino Martínez-Sober; Antonio J. Serrano-López (ESANN, 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)

Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images. - José Ferrer-Buedo; Marcelino Martínez-Sober; Yasser Alakhdar-Mohmara; Emilio Soria-Olivas; Josep-Carles Benítez-Martínez; José María Martínez-Martínez (Comput. Methods Programs Biomed., 2013)

Expert system for predicting unstable angina based on Bayesian networks. - Joan Vila-Francés; Juan Gómez-Sanchís; Emilio Soria-Olivas; Antonio José Serrano; Marcelino Martínez-Sober; Clara Bonanad; Silvia Ventura (Expert Syst. Appl., 2013)

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)

Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. - Fernando Mateo; Emilio Soria-Olivas; Marcelino Martínez-Sober; Maria Tellez-Plaza; Juan Gómez-Sanchís; Josep Redon (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)

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)

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)

Towards Detecting Structures in Computational Astrophysics Plasma Simulations: Using Machine Learning for Shock Front Classification. - Carmen Aloy Torás; Petar Mimica; Marcelino Martínez-Sober (CCIA, 2018)

End-to-end Keyword Spotting using Xception-1d. - Iván Vallés-Pérez; Juan Gómez-Sanchís; Marcelino Martínez-Sober; Joan Vila-Francés; Antonio José Serrano-López; Emilio Soria-Olivas (ESANN, 2021)

Approaching sales forecasting using recurrent neural networks and transformers. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Juan Gómez-Sanchís; Fernando Mateo (Expert Syst. Appl., 2022)

Empirical study of the modulus as activation function in computer vision applications. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Joan Vila-Francés; Juan Gómez-Sanchís (Eng. Appl. Artif. Intell., 2023)

A machine learning approach to identify groups of patients with hematological malignant disorders. - Pablo Rodríguez-Belenguer; José Luis Piñana; Manuel Sánchez-Montañés; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López (Comput. Methods Programs Biomed., 2024)

Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance. - Fernando Mateo; Joan Vila-Francés; Emilio Soria-Olivas; Marcelino Martínez-Sober; Juan Gómez-Sanchís; Antonio José Serrano-López (CoRR, 2024)

Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why. - Salvador Castillo-Girones; Sandra Munera; Marcelino Martínez-Sober; José Blasco; Sergio Cubero; Juan Gómez-Sanchís (Comput. Electron. Agric., 2025)