Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. - Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez; Jesús Cid-Sueiro; Manel Martínez-Ramón (EUSIPCO, 1996)

Sample selection via clustering to construct support vector-like classifiers. - Abdelouahid Lyhyaoui; Manel Martínez-Ramón; Inma Mora; Maryan Vaquez; José-Luis Sancho; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 1999)

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise. - Manel Martínez-Ramón; José-Luis Sancho-Gómez; Antonio Artés-Rodríguez; Aníbal R. Figueiras-Vidal (EUSIPCO, 2000)

Support Vector Robust Algorithms for Non-parametric Spectral Analysis. - José Luis Rojo-Álvarez; Arcadi García-Alberola; Manel Martínez-Ramón; Mariano Valdés; Aníbal R. Figueiras-Vidal; Antonio Artés-Rodríguez (ICANN, 2002)

Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal; Mario de Prado-Cumplido; Antonio Artés-Rodríguez (ICANN, 2002)

An adaptive combination of adaptive filters for plant identification. - Manel Martínez-Ramón; Jerónimo Arenas-García; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (DSP, 2002)

Separate-variable adaptive combination of LMS adaptive filters for plant identification. - Jerónimo Arenas-García; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal (NNSP, 2003)

A robust support vector algorithm for nonparametric spectral analysis. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Aníbal R. Figueiras-Vidal; Ana García Armada; Antonio Artés-Rodríguez (IEEE Signal Process. Lett., 2003)

Nonlinear Bitwise Equalization. - Francisco Javier González-Serrano; Manel Martínez-Ramón (ICT, 2004)

Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. - Vladimir Koltchinskii; Manel Martínez-Ramón; Stefan Posse (NIPS, 2004)

Robust gamma-filter using support vector machines. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez; Emilio Soria-Olivas (Neurocomputing, 2004)

Adaptively combined LMS and logistic equalizers. - Manel Martínez-Ramón; Antonio Artés-Rodríguez; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (IEEE Signal Process. Lett., 2004)

Support vector machines framework for linear signal processing. - José Luis Rojo-Álvarez; Gustavo Camps-Valls; Manel Martínez-Ramón; Emilio Soria-Olivas; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2005)

fMRI pattern classification using neuroanatomically constrained boosting. - Manel Martínez-Ramón; Vladimir Koltchinskii; Gregory L. Heileman; Stefan Posse (NeuroImage, 2006)

Plant identification via adaptive combination of transversal filters. - Jerónimo Arenas-García; Manel Martínez-Ramón; Ángel Navia-Vázquez; Aníbal R. Figueiras-Vidal (Signal Process., 2006)

Support vector machines for robust channel estimation in OFDM. - M. Julia Fernández-Getino García; José Luis Rojo-Álvarez; Felipe Alonso Atienza; Manel Martínez-Ramón (IEEE Signal Process. Lett., 2006)

Support Vector Machines for Nonlinear Kernel ARMA System Identification. - Manel Martínez-Ramón; José Luis Rojo-Álvarez; Gustavo Camps-Valls; Jordi Muñoz-Marí; Ángel Navia-Vázquez; Emilio Soria-Olivas; Aníbal R. Figueiras-Vidal (IEEE Trans. Neural Networks, 2006)

Support Vector Machines for Antenna Array Processing and Electromagnetics - Manel Martínez-Ramón; Christos Christodoulou (Morgan & Claypool Publishers, 2006)

Nonlinear System Identification With Composite Relevance Vector Machines. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez; Jordi Muñoz-Marí (IEEE Signal Process. Lett., 2007)

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines. - José Luis Rojo-Álvarez; Carlos Figuera-Pozuelo; C. E. Martinez-Cruz; Gustavo Camps-Valls; Felipe Alonso Atienza; Manel Martínez-Ramón (IEEE Trans. Signal Process., 2007)

Support vector machines with composite kernels for nonlinear systems identification. - Amina El Gonnouni; Abdelouahid Lyhyaoui; Soufiane El Jelali; Manel Martínez-Ramón (IMCSIT, 2008)

UC3M High Level Feature Extraction at TRECVID 2008. - Iván González-Díaz 001; Dario García-García; Rubén Solera-Ureña; Jaisiel Madrid-Sánchez; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Fernando Díaz-de-María; Jerónimo Arenas-García (TRECVID, 2008)

Sparse Deconvolution Using Support Vector Machines. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñoz-Marí; Gustavo Camps-Valls; Carlos M. Cruz; Aníbal R. Figueiras-Vidal (EURASIP J. Adv. Signal Process., 2008)

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. - Gustavo Camps-Valls; Luis Gómez-Chova; Jordi Muñoz-Marí; José Luis Rojo-Álvarez; Manel Martínez-Ramón (IEEE Trans. Geosci. Remote. Sens., 2008)

UC3M AT TRECVID 2009. - Iván González-Díaz 001; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Fernando Díaz-de-María; Jerónimo Arenas-García (TRECVID, 2009)

Learning non-linear time-scales with kernel gamma-filters. - Gustavo Camps-Valls; Jordi Muñoz-Marí; Manel Martínez-Ramón; Jesús Requena-Carrión; José Luis Rojo-Álvarez (Neurocomputing, 2009)

Applications of Kernel Methods. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez (Encyclopedia of Data Warehousing and Mining, 2009)

An Introduction to Kernel Methods. - Gustavo Camps-Valls; Manel Martínez-Ramón; José Luis Rojo-Álvarez (Encyclopedia of Data Warehousing and Mining, 2009)

Spectrally adapted mercer kernels for support vector signal interpolation. - Carlos Figuera; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Alicia Guerrero-Curieses; Antonio J. Caamaño (EUSIPCO, 2011)

Explicit recursivity into reproducing kernel Hilbert spaces. - Devis Tuia; Gustavo Camps-Valls; Manel Martínez-Ramón (ICASSP, 2011)

Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (MLINI, 2011)

Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. - Eduardo Castro; Manel Martínez-Ramón; Godfrey D. Pearlson; Jing Sui; Vince D. Calhoun (NeuroImage, 2011)

Support Vector Machines With Constraints for Sparsity in the Primal Parameters. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Jerónimo Arenas-García; Miguel Lázaro-Gredilla; Harold Y. Molina-Bulla (IEEE Trans. Neural Networks, 2011)

fMRI brain mapping with kernels. - Manel Martínez-Ramón; Marilea de Cassia Gomes-Vilela; Vanessa Gómez-Verdejo; Antonio Oliviero (CIP, 2012)

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; John Shawe-Taylor; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (PRNI, 2012)

Analysis of fMRI time series with mutual information. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón; José Florensa-Vila; Antonio Oliviero (Medical Image Anal., 2012)

Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines. - Rubén Solera-Ureña; Ana I. García-Moral; Carmen Peláez-Moreno; Manel Martínez-Ramón; Fernando Díaz-de-María (IEEE Trans. Speech Audio Process., 2012)

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. - Eduardo Castro; Cota Navin Gupta; Manel Martínez-Ramón; Vince D. Calhoun; Mohammad R. Arbabshirani; Jessica A. Turner (EMBC, 2014)

Automatic Design of Neuromarkers for OCD Characterization. - Oscar García Hinde; Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Carles Soriano-Mas (ECML/PKDD (1), 2014)

A unified SVM framework for signal estimation. - José Luis Rojo-Álvarez; Manel Martínez-Ramón; Jordi Muñoz-Marí; Gustavo Camps-Valls (Digit. Signal Process., 2014)

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. - Emilio Parrado-Hernández; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; John Shawe-Taylor; Pino Alonso; Jesús Pujol; José Manuel Menchón; Narcís Cardoner; Carles Soriano-Mas (Medical Image Anal., 2014)

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. - Eduardo Castro; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Kent A. Kiehl; Vince D. Calhoun (NeuroImage, 2014)

Spectrally adapted Mercer kernels for support vector nonuniform interpolation. - Carlos Figuera; Óscar Barquero-Pérez; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Alicia Guerrero-Curieses; Antonio J. Caamaño (Signal Process., 2014)

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. - Devis Tuia; Jordi Muñoz-Marí; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Gustavo Camps-Valls (IEEE Trans. Neural Networks Learn. Syst., 2014)

Support vector machines in engineering: an overview. - Sancho Salcedo-Sanz; José Luis Rojo-Álvarez; Manel Martínez-Ramón; Gustavo Camps-Valls (WIREs Data Mining Knowl. Discov., 2014)

Feature selection in solar radiation prediction using bootstrapped SVRs. - Oscar García Hinde; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Carlos Casanova-Mateo; Julia Sanz-Justo; Silvia Jiménez-Fernández; Sancho Salcedo-Sanz (CEC, 2016)

QoS Performance Evaluation of Disjoint Queue Scheduler for Video-Applications over LTE-A HetNets. - Najem N. Sirhan; Manel Martínez-Ramón; Gregory L. Heileman; Nasir Ghani; Christopher C. Lamb (ICCCNT, 2016)

Breath Activity Detection Algorithm. - Eric E. Hamke; Ramiro Jordan; Manel Martínez-Ramón (CoRR, 2016)

Smart Grid: ICT Control for Distributed Energy Resources. - José Ignacio Moreno; Manel Martínez-Ramón; Pedro S. Moura; Javier Matanza; Gregorio López (Int. J. Distributed Sens. Networks, 2016)

Prediction of graduation delay based on student performance. - Tushar Ojha; Gregory L. Heileman; Manel Martínez-Ramón; Ahmad Slim (IJCNN, 2017)

Delay model and machine learning exploration of a hardware-embedded delay PUF. - Wenjie Che; Manel Martínez-Ramón; Fareena Saqib; Jim Plusquellic (HOST, 2018)

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. - Oscar García Hinde; Guillermo Terrén-Serrano; M. Á. Hombrados-Herrera; Vanessa Gómez-Verdejo; Silvia Jiménez-Fernández; Carlos Casanova-Mateo; Julia Sanz-Justo; Manel Martínez-Ramón; Sancho Salcedo-Sanz (Eng. Appl. Artif. Intell., 2018)

Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos. - Meenu Ajith; Manel Martínez-Ramón (IEEE Access, 2019)

Detecting breathing rates and depth of breath using LPCs and Restricted Boltzmann Machines. - Eric E. Hamke; Manel Martínez-Ramón; Amir Raeisi Nafchi; Ramiro Jordan (Biomed. Signal Process. Control., 2019)

Data Selection for Short Term load forecasting. - Nestor Pereira; Miguel Ángel Hombrados-Herrera; Vanessa Gómez-Verdejo; Andrea A. Mammoli; Manel Martínez-Ramón (CoRR, 2019)

Detection and Identification of Objects and Humans in Thermal Images. - Manish Bhattarai; Manel Martínez-Ramón (CoRR, 2019)

Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data. - Akitoshi Masuda; Yoshihiko Susuki; Manel Martínez-Ramón; Andrea A. Mammoli; Atsushi Ishigame (CoRR, 2019)

Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks. - Aswathy Rajendra Kurup; Meenu Ajith; Manel Martínez-Ramón (Neurocomputing, 2019)

An embedded deep learning system for augmented reality in firefighting applications. - Manish Bhattarai; Aura Rose Jensen-Curtis; Manel Martínez-Ramón (ICMLA, 2020)

A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. - Manish Bhattarai; Manel Martínez-Ramón (IEEE Access, 2020)

Time accelerated image super-resolution using shallow residual feature representative network. - Meenu Ajith; Aswathy Rajendra Kurup; Manel Martínez-Ramón (CoRR, 2020)

A Novel Indoor Positioning System for unprepared firefighting scenarios. - Vamsi Karthik Vadlamani; Manish Bhattarai; Meenu Ajith; Manel Martínez-Ramón (CoRR, 2020)

Forecast-informed power load profiling: A novel approach. - Óscar García Hinde; Vanessa Gómez-Verdejo; Manel Martínez-Ramón (Eng. Appl. Artif. Intell., 2020)

Fundamental Frequency Tracking In Noisy Environments Using Deep Learning. - Eric E. Hamke; Amir Raeisi Nafchi; Manel Martínez-Ramón; Balasubramaniam Santhanam; Ramiro Jordan (ACSCC, 2021)

A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. - Manish Bhattarai; Manel Martínez-Ramón (ICAART (2), 2021)

Deep learning based circuit topology estimation and fault classification in distribution systems. - Aswathy Rajendra Kurup; Manel Martínez-Ramón; Adam Summers; Ali Bidram; Matthew J. Reno (ISGT-Europe, 2021)

Segmentation Algorithms for Ground-Based Infrared Cloud Images. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (ISGT-Europe, 2021)

Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (ISGT-Europe, 2021)

Probabilistic analysis of solar cell optical performance using Gaussian processes. - Rahul Jaiswal; Manel Martínez-Ramón; Tito Busani (CoRR, 2021)

Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (CoRR, 2021)

Designing Monte Carlo Simulation and an Optimal Machine Learning to Optimize and Model Space Missions. - Reza Pirayeshshirazinezhad; Sandra G. Biedron; Jorge Alberto Díaz Cruz; Salvador Sosa Güitrón; Manel Martínez-Ramón (IEEE Access, 2022)

LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey. - Najem N. Sirhan; Manel Martínez-Ramón (CoRR, 2022)

Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE. - Najem N. Sirhan; Manel Martínez-Ramón (CoRR, 2022)

QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey. - Najem N. Sirhan; Manel Martínez-Ramón (CoRR, 2022)

Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey. - Najem N. Sirhan; Manel Martínez-Ramón (CoRR, 2022)

A conditional one-output likelihood formulation for multitask Gaussian processes. - Oscar García Hinde; Manel Martínez-Ramón; Vanessa Gómez-Verdejo (Neurocomputing, 2022)

Geospatial Perspective Reprojections for Ground-Based Sky Imaging Systems. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (IEEE Trans. Geosci. Remote. Sens., 2022)

Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems. - Afroza Shirin; Manel Martínez-Ramón; Rafael Fierro (IEEE Access, 2023)

Adaptive Sparse Gaussian Process. - Vanessa Gómez-Verdejo; Manel Martínez-Ramón (CoRR, 2023)

Detection of clouds in multiple wind velocity fields using ground-based infrared sky images. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (Knowl. Based Syst., 2023)

Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images. - Guillermo Terrén-Serrano; Manel Martínez-Ramón (Inf. Fusion, 2023)

What is Peace Engineering? - Ramiro Jordan; Manel Martínez-Ramón; Donna Koechner; Kamil Agi (MWSCAS, 2024)

Adaptive Sparse Gaussian Process. - Vanessa Gómez-Verdejo; Emilio Parrado-Hernández; Manel Martínez-Ramón (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised anomaly detection in MeV ultrafast electron diffraction. - Mariana A. Fazio; Salvador Sosa Güitrón; Marcus Babzien; Mikhail Fedurin; Junjie Li; Mark Palmer; Sandra G. Biedron; Manel Martínez-Ramón (CoRR, 2025)