Manel Martínez-Ramón

88 papers B 2C 3Misc 1Journal 56Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unsupervised anomaly detection in MeV ultrafast electron diffraction. CoRR Mariana A. Fazio, Salvador Sosa Güitrón, Marcus Babzien, Mikhail Fedurin, Junjie Li, Mark Palmer, Sandra G. Biedron, Manel Martínez-Ramón
2024	J	`jnl`	Adaptive Sparse Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Manel Martínez-Ramón
2024	—	`conf`	What is Peace Engineering? MWSCAS Ramiro Jordan, Manel Martínez-Ramón, Donna Koechner, Kamil Agi
2023	J	`jnl`	Adaptive Sparse Gaussian Process. CoRR Vanessa Gómez-Verdejo, Manel Martínez-Ramón
2023	J	`jnl`	Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images. Inf. Fusion Guillermo Terrén-Serrano, Manel Martínez-Ramón
2023	J	`jnl`	Detection of clouds in multiple wind velocity fields using ground-based infrared sky images. Knowl. Based Syst. Guillermo Terrén-Serrano, Manel Martínez-Ramón
2023	J	`jnl`	Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems. IEEE Access Afroza Shirin, Manel Martínez-Ramón, Rafael Fierro
2022	J	`jnl`	A conditional one-output likelihood formulation for multitask Gaussian processes. Neurocomputing Oscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez-Verdejo
2022	J	`jnl`	Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE. CoRR Najem N. Sirhan, Manel Martínez-Ramón
2022	J	`jnl`	Designing Monte Carlo Simulation and an Optimal Machine Learning to Optimize and Model Space Missions. IEEE Access Reza Pirayeshshirazinezhad, Sandra G. Biedron, Jorge Alberto Díaz Cruz, Salvador Sosa Güitrón, Manel Martínez-Ramón
2022	J	`jnl`	Geospatial Perspective Reprojections for Ground-Based Sky Imaging Systems. IEEE Trans. Geosci. Remote. Sens. Guillermo Terrén-Serrano, Manel Martínez-Ramón
2022	J	`jnl`	LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey. CoRR Najem N. Sirhan, Manel Martínez-Ramón
2022	J	`jnl`	QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey. CoRR Najem N. Sirhan, Manel Martínez-Ramón
2022	J	`jnl`	Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey. CoRR Najem N. Sirhan, Manel Martínez-Ramón
2021	—	`conf`	A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. ICAART (2) Manish Bhattarai, Manel Martínez-Ramón
2021	—	`conf`	Deep learning based circuit topology estimation and fault classification in distribution systems. ISGT-Europe Aswathy Rajendra Kurup, Manel Martínez-Ramón, Adam Summers, Ali Bidram, Matthew J. Reno
2021	—	`conf`	Fundamental Frequency Tracking In Noisy Environments Using Deep Learning. ACSCC Eric E. Hamke, Amir Raeisi Nafchi, Manel Martínez-Ramón, Balasubramaniam Santhanam, Ramiro Jordan
2021	J	`jnl`	Probabilistic analysis of solar cell optical performance using Gaussian processes. CoRR Rahul Jaiswal, Manel Martínez-Ramón, Tito Busani
2021	J	`jnl`	Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction. CoRR Guillermo Terrén-Serrano, Manel Martínez-Ramón
2021	—	`conf`	Segmentation Algorithms for Ground-Based Infrared Cloud Images. ISGT-Europe Guillermo Terrén-Serrano, Manel Martínez-Ramón
2021	—	`conf`	Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction. ISGT-Europe Guillermo Terrén-Serrano, Manel Martínez-Ramón
2020	J	`jnl`	A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. IEEE Access Manish Bhattarai, Manel Martínez-Ramón
2020	J	`jnl`	A Novel Indoor Positioning System for unprepared firefighting scenarios. CoRR Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martínez-Ramón
2020	J	`jnl`	A conditional one-output likelihood formulation for multitask Gaussian processes. CoRR Vanessa Gómez-Verdejo, Óscar García Hinde, Manel Martínez-Ramón
2020	J	`jnl`	A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments. CoRR Manish Bhattarai, Manel Martínez-Ramón
2020	C	`conf`	An embedded deep learning system for augmented reality in firefighting applications. ICMLA Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
2020	J	`jnl`	An embedded deep learning system for augmented reality in firefighting applications. CoRR Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
2020	J	`jnl`	Forecast-informed power load profiling: A novel approach. Eng. Appl. Artif. Intell. Óscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
2020	J	`jnl`	Time accelerated image super-resolution using shallow residual feature representative network. CoRR Meenu Ajith, Aswathy Rajendra Kurup, Manel Martínez-Ramón
2019	J	`jnl`	Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data. CoRR Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea A. Mammoli, Atsushi Ishigame
2019	J	`jnl`	Data Selection for Short Term load forecasting. CoRR Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón
2019	J	`jnl`	Detecting breathing rates and depth of breath using LPCs and Restricted Boltzmann Machines. Biomed. Signal Process. Control. Eric E. Hamke, Manel Martínez-Ramón, Amir Raeisi Nafchi, Ramiro Jordan
2019	J	`jnl`	Detection and Identification of Objects and Humans in Thermal Images. CoRR Manish Bhattarai, Manel Martínez-Ramón
2019	J	`jnl`	Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks. Neurocomputing Aswathy Rajendra Kurup, Meenu Ajith, Manel Martínez-Ramón
2019	J	`jnl`	Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos. IEEE Access Meenu Ajith, Manel Martínez-Ramón
2019	J	`jnl`	Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos. CoRR Meenu Ajith, Manel Martínez-Ramón
2018	—	`conf`	Delay model and machine learning exploration of a hardware-embedded delay PUF. HOST Wenjie Che, Manel Martínez-Ramón, Fareena Saqib, Jim Plusquellic
2018	J	`jnl`	Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. Eng. Appl. Artif. Intell. 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
2017	B	`conf`	Prediction of graduation delay based on student performance. IJCNN Tushar Ojha, Gregory L. Heileman, Manel Martínez-Ramón, Ahmad Slim
2016	J	`jnl`	Breath Activity Detection Algorithm. CoRR Eric E. Hamke, Ramiro Jordan, Manel Martínez-Ramón
2016	B	`conf`	Feature selection in solar radiation prediction using bootstrapped SVRs. CEC Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
2016	—	`conf`	QoS Performance Evaluation of Disjoint Queue Scheduler for Video-Applications over LTE-A HetNets. ICCCNT Najem N. Sirhan, Manel Martínez-Ramón, Gregory L. Heileman, Nasir Ghani, Christopher C. Lamb
2016	J	`jnl`	Smart Grid: ICT Control for Distributed Energy Resources. Int. J. Distributed Sens. Networks José Ignacio Moreno, Manel Martínez-Ramón, Pedro S. Moura, Javier Matanza, Gregorio López
2014	J	`jnl`	A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. NeuroImage Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Kent A. Kiehl, Vince D. Calhoun
2014	J	`jnl`	A unified SVM framework for signal estimation. Digit. Signal Process. José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls
2014	—	`conf`	Automatic Design of Neuromarkers for OCD Characterization. ECML/PKDD (1) Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
2014	J	`jnl`	Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2014	J	`jnl`	Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. IEEE Trans. Neural Networks Learn. Syst. Devis Tuia, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls
2014	—	`conf`	Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. EMBC Eduardo Castro, Cota Navin Gupta, Manel Martínez-Ramón, Vince D. Calhoun, Mohammad R. Arbabshirani, Jessica A. Turner
2014	J	`jnl`	Spectrally adapted Mercer kernels for support vector nonuniform interpolation. Signal Process. Carlos Figuera, Óscar Barquero-Pérez, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño
2014	J	`jnl`	Support vector machines in engineering: an overview. WIREs Data Mining Knowl. Discov. Sancho Salcedo-Sanz, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls
2012	J	`jnl`	Analysis of fMRI time series with mutual information. Medical Image Anal. Vanessa Gómez-Verdejo, Manel Martínez-Ramón, José Florensa-Vila, Antonio Oliviero
2012	J	`jnl`	Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines. IEEE Trans. Speech Audio Process. Rubén Solera-Ureña, Ana I. García-Moral, Carmen Peláez-Moreno, Manel Martínez-Ramón, Fernando Díaz-de-María
2012	—	`conf`	Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2012	—	`conf`	fMRI brain mapping with kernels. CIP Manel Martínez-Ramón, Marilea de Cassia Gomes-Vilela, Vanessa Gómez-Verdejo, Antonio Oliviero
2011	J	`jnl`	Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage Eduardo Castro, Manel Martínez-Ramón, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun
2011	Misc	`conf`	Explicit recursivity into reproducing kernel Hilbert spaces. ICASSP Devis Tuia, Gustavo Camps-Valls, Manel Martínez-Ramón
2011	—	`conf`	Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José Manuel Menchón, Narcís Cardoner, Carles Soriano-Mas
2011	—	`conf`	Spectrally adapted mercer kernels for support vector signal interpolation. EUSIPCO Carlos Figuera, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño
2011	J	`jnl`	Support Vector Machines With Constraints for Sparsity in the Primal Parameters. IEEE Trans. Neural Networks Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Y. Molina-Bulla
2009	—	`ch.`	An Introduction to Kernel Methods. Encyclopedia of Data Warehousing and Mining Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez
2009	—	`ch.`	Applications of Kernel Methods. Encyclopedia of Data Warehousing and Mining Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez
2009	J	`jnl`	Learning non-linear time-scales with kernel gamma-filters. Neurocomputing Gustavo Camps-Valls, Jordi Muñoz-Marí, Manel Martínez-Ramón, Jesús Requena-Carrión, José Luis Rojo-Álvarez
2009	—	`conf`	UC3M AT TRECVID 2009. TRECVID Iván González-Díaz, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
2008	J	`jnl`	Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. IEEE Trans. Geosci. Remote. Sens. Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón
2008	J	`jnl`	Sparse Deconvolution Using Support Vector Machines. EURASIP J. Adv. Signal Process. José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz, Aníbal R. Figueiras-Vidal
2008	—	`conf`	Support vector machines with composite kernels for nonlinear systems identification. IMCSIT Amina El Gonnouni, Abdelouahid Lyhyaoui, Soufiane El Jelali, Manel Martínez-Ramón
2008	—	`conf`	UC3M High Level Feature Extraction at TRECVID 2008. TRECVID Iván González-Díaz, Dario García-García, Rubén Solera-Ureña, Jaisiel Madrid-Sánchez, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
2007	J	`jnl`	Nonlinear System Identification With Composite Relevance Vector Machines. IEEE Signal Process. Lett. Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Jordi Muñoz-Marí
2007	J	`jnl`	Nonuniform Interpolation of Noisy Signals Using Support Vector Machines. IEEE Trans. Signal Process. José Luis Rojo-Álvarez, Carlos Figuera-Pozuelo, C. E. Martinez-Cruz, Gustavo Camps-Valls, Felipe Alonso Atienza, Manel Martínez-Ramón
2006	J	`jnl`	Plant identification via adaptive combination of transversal filters. Signal Process. Jerónimo Arenas-García, Manel Martínez-Ramón, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2006	—	`book`	Support Vector Machines for Antenna Array Processing and Electromagnetics Manel Martínez-Ramón, Christos Christodoulou
2006	J	`jnl`	Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
2006	J	`jnl`	Support vector machines for robust channel estimation in OFDM. IEEE Signal Process. Lett. M. Julia Fernández-Getino García, José Luis Rojo-Álvarez, Felipe Alonso Atienza, Manel Martínez-Ramón
2006	J	`jnl`	fMRI pattern classification using neuroanatomically constrained boosting. NeuroImage Manel Martínez-Ramón, Vladimir Koltchinskii, Gregory L. Heileman, Stefan Posse
2005	J	`jnl`	Support vector machines framework for linear signal processing. Signal Process. José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004	J	`jnl`	Adaptively combined LMS and logistic equalizers. IEEE Signal Process. Lett. Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2004	—	`conf`	Nonlinear Bitwise Equalization. ICT Francisco Javier González-Serrano, Manel Martínez-Ramón
2004	—	`conf`	Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. NIPS Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse
2004	J	`jnl`	Robust Neurocomputing Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Emilio Soria-Olivas
2003	J	`jnl`	A robust support vector algorithm for nonparametric spectral analysis. IEEE Signal Process. Lett. José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Ana García Armada, Antonio Artés-Rodríguez
2003	—	`conf`	Separate-variable adaptive combination of LMS adaptive filters for plant identification. NNSP Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal
2002	—	`conf`	An adaptive combination of adaptive filters for plant identification. DSP Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
2002	C	`conf`	Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. ICANN José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez
2002	C	`conf`	Support Vector Robust Algorithms for Non-parametric Spectral Analysis. ICANN José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
2000	—	`conf`	Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise. EUSIPCO Manel Martínez-Ramón, José-Luis Sancho-Gómez, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
1999	J	`jnl`	Sample selection via clustering to construct support vector-like classifiers. IEEE Trans. Neural Networks Abdelouahid Lyhyaoui, Manel Martínez-Ramón, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal
1996	—	`conf`	Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. EUSIPCO Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Jesús Cid-Sueiro, Manel Martínez-Ramón