Manel Martínez-Ramón

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 39

Top Topics

Packet Scheduling

Top Venues

Publications

Afroza Shirin, Manel Martínez-Ramón, Rafael Fierro
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems. IEEE Access 11 (2023)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Detection of clouds in multiple wind velocity fields using ground-based infrared sky images. Knowl. Based Syst. 274 (2023)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Adaptive Sparse Gaussian Process. CoRR (2023)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images. Inf. Fusion 95 (2023)
Reza Pirayeshshirazinezhad, Sandra G. Biedron, Jorge Alberto Díaz Cruz, Salvador Sosa Güitrón, Manel Martínez-Ramón
Designing Monte Carlo Simulation and an Optimal Machine Learning to Optimize and Model Space Missions. IEEE Access 10 (2022)
Najem N. Sirhan, Manel Martínez-Ramón
Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE. CoRR (2022)
Najem N. Sirhan, Manel Martínez-Ramón
LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey. CoRR (2022)
Oscar García Hinde, Manel Martínez-Ramón, Vanessa Gómez-Verdejo
A conditional one-output likelihood formulation for multitask Gaussian processes. Neurocomputing 509 (2022)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Geospatial Perspective Reprojections for Ground-Based Sky Imaging Systems. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Najem N. Sirhan, Manel Martínez-Ramón
Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey. CoRR (2022)
Najem N. Sirhan, Manel Martínez-Ramón
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey. CoRR (2022)
Manish Bhattarai, Manel Martínez-Ramón
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments. ICAART (2) (2021)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Wind Flow Estimation in Thermal Sky Images for Sun Occlusion Prediction. ISGT-Europe (2021)
Rahul Jaiswal, Manel Martínez-Ramón, Tito Busani
Probabilistic analysis of solar cell optical performance using Gaussian processes. CoRR (2021)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction. CoRR (2021)
Aswathy Rajendra Kurup, Manel Martínez-Ramón, Adam Summers, Ali Bidram, Matthew J. Reno
Deep learning based circuit topology estimation and fault classification in distribution systems. ISGT-Europe (2021)
Guillermo Terrén-Serrano, Manel Martínez-Ramón
Segmentation Algorithms for Ground-Based Infrared Cloud Images. ISGT-Europe (2021)
Eric E. Hamke, Amir Raeisi Nafchi, Manel Martínez-Ramón, Balasubramaniam Santhanam, Ramiro Jordan
Fundamental Frequency Tracking In Noisy Environments Using Deep Learning. ACSCC (2021)
Vanessa Gómez-Verdejo, Óscar García Hinde, Manel Martínez-Ramón
A conditional one-output likelihood formulation for multitask Gaussian processes. CoRR (2020)
Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
An embedded deep learning system for augmented reality in firefighting applications. CoRR (2020)
Manish Bhattarai, Manel Martínez-Ramón
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments. CoRR (2020)
Manish Bhattarai, Aura Rose Jensen-Curtis, Manel Martínez-Ramón
An embedded deep learning system for augmented reality in firefighting applications. ICMLA (2020)
Vamsi Karthik Vadlamani, Manish Bhattarai, Meenu Ajith, Manel Martínez-Ramón
A Novel Indoor Positioning System for unprepared firefighting scenarios. CoRR (2020)
Óscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón
Forecast-informed power load profiling: A novel approach. Eng. Appl. Artif. Intell. 96 (2020)
Manish Bhattarai, Manel Martínez-Ramón
A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting. IEEE Access 8 (2020)
Meenu Ajith, Aswathy Rajendra Kurup, Manel Martínez-Ramón
Time accelerated image super-resolution using shallow residual feature representative network. CoRR (2020)
Eric E. Hamke, Manel Martínez-Ramón, Amir Raeisi Nafchi, Ramiro Jordan
Detecting breathing rates and depth of breath using LPCs and Restricted Boltzmann Machines. Biomed. Signal Process. Control. 48 (2019)
Meenu Ajith, Manel Martínez-Ramón
Unsupervised Segmentation of Fire and Smoke from Infra-Red Videos. CoRR (2019)
Manish Bhattarai, Manel Martínez-Ramón
Detection and Identification of Objects and Humans in Thermal Images. CoRR (2019)
Aswathy Rajendra Kurup, Meenu Ajith, Manel Martínez-Ramón
Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks. Neurocomputing 367 (2019)
Meenu Ajith, Manel Martínez-Ramón
Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos. IEEE Access 7 (2019)
Nestor Pereira, Miguel Ángel Hombrados-Herrera, Vanessa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón
Data Selection for Short Term load forecasting. CoRR (2019)
Akitoshi Masuda, Yoshihiko Susuki, Manel Martínez-Ramón, Andrea A. Mammoli, Atsushi Ishigame
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data. CoRR (2019)
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
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting. Eng. Appl. Artif. Intell. 69 (2018)
Wenjie Che, Manel Martínez-Ramón, Fareena Saqib, Jim Plusquellic
Delay model and machine learning exploration of a hardware-embedded delay PUF. HOST (2018)
Tushar Ojha, Gregory L. Heileman, Manel Martínez-Ramón, Ahmad Slim
Prediction of graduation delay based on student performance. IJCNN (2017)
José Ignacio Moreno, Manel Martínez-Ramón, Pedro S. Moura, Javier Matanza, Gregorio López
Smart Grid: ICT Control for Distributed Energy Resources. Int. J. Distributed Sens. Networks 12 (5) (2016)
Oscar García Hinde, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carlos Casanova-Mateo, Julia Sanz-Justo, Silvia Jiménez-Fernández, Sancho Salcedo-Sanz
Feature selection in solar radiation prediction using bootstrapped SVRs. CEC (2016)
Najem N. Sirhan, Manel Martínez-Ramón, Gregory L. Heileman, Nasir Ghani, Christopher C. Lamb
QoS Performance Evaluation of Disjoint Queue Scheduler for Video-Applications over LTE-A HetNets. ICCCNT (2016)
Carlos Figuera, Óscar Barquero-Pérez, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño
Spectrally adapted Mercer kernels for support vector nonuniform interpolation. Signal Process. 94 (2014)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction. Medical Image Anal. 18 (3) (2014)
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls
A unified SVM framework for signal estimation. Digit. Signal Process. 26 (2014)
Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
Automatic Design of Neuromarkers for OCD Characterization. ECML/PKDD (1) (2014)
Eduardo Castro, Cota Navin Gupta, Manel Martínez-Ramón, Vince D. Calhoun, Mohammad R. Arbabshirani, Jessica A. Turner
Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. EMBC (2014)
Eduardo Castro, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Kent A. Kiehl, Vince D. Calhoun
A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. NeuroImage 87 (2014)
Devis Tuia, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. IEEE Trans. Neural Networks Learn. Syst. 25 (7) (2014)
Sancho Salcedo-Sanz, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls
Support vector machines in engineering: an overview. WIREs Data Mining Knowl. Discov. 4 (3) (2014)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, John Shawe-Taylor, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder. PRNI (2012)
Rubén Solera-Ureña, Ana I. García-Moral, Carmen Peláez-Moreno, Manel Martínez-Ramón, Fernando Díaz-de-María
Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines. IEEE Trans. Speech Audio Process. 20 (4) (2012)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, José Florensa-Vila, Antonio Oliviero
Analysis of fMRI time series with mutual information. Medical Image Anal. 16 (2) (2012)
Manel Martínez-Ramón, Marilea de Cassia Gomes-Vilela, Vanessa Gómez-Verdejo, Antonio Oliviero
fMRI brain mapping with kernels. CIP (2012)
Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Jerónimo Arenas-García, Miguel Lázaro-Gredilla, Harold Y. Molina-Bulla
Support Vector Machines With Constraints for Sparsity in the Primal Parameters. IEEE Trans. Neural Networks 22 (8) (2011)
Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Pino Alonso, Jesús Pujol, José M. Menchón, Narcís Cardoner, Carles Soriano-Mas
Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection. MLINI (2011)
Devis Tuia, Gustavo Camps-Valls, Manel Martínez-Ramón
Explicit recursivity into reproducing kernel Hilbert spaces. ICASSP (2011)
Carlos Figuera, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Alicia Guerrero-Curieses, Antonio J. Caamaño
Spectrally adapted mercer kernels for support vector signal interpolation. EUSIPCO (2011)
Eduardo Castro, Manel Martínez-Ramón, Godfrey D. Pearlson, Jing Sui, Vince D. Calhoun
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. NeuroImage 58 (2) (2011)
Iván González-Díaz, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Fernando Díaz-de-María, Jerónimo Arenas-García
UC3M AT TRECVID 2009. TRECVID (2009)
Gustavo Camps-Valls, Jordi Muñoz-Marí, Manel Martínez-Ramón, Jesús Requena-Carrión, José Luis Rojo-Álvarez
Learning non-linear time-scales with kernel gamma-filters. Neurocomputing 72 (4-6) (2009)
Gustavo Camps-Valls, Luis Gómez-Chova, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection. IEEE Trans. Geosci. Remote. Sens. 46 (6) (2008)
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Jordi Muñoz-Marí, Gustavo Camps-Valls, Carlos M. Cruz, Aníbal R. Figueiras-Vidal
Sparse Deconvolution Using Support Vector Machines. EURASIP J. Adv. Signal Process. 2008 (2008)
Amina El Gonnouni, Abdelouahid Lyhyaoui, Soufiane El Jelali, Manel Martínez-Ramón
Support vector machines with composite kernels for nonlinear systems identification. IMCSIT (2008)
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
UC3M High Level Feature Extraction at TRECVID 2008. TRECVID (2008)
Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Jordi Muñoz-Marí
Nonlinear System Identification With Composite Relevance Vector Machines. IEEE Signal Process. Lett. 14 (4) (2007)
José Luis Rojo-Álvarez, Carlos Figuera-Pozuelo, C. E. Martinez-Cruz, Gustavo Camps-Valls, Felipe Alonso Atienza, Manel Martínez-Ramón
Nonuniform Interpolation of Noisy Signals Using Support Vector Machines. IEEE Trans. Signal Process. 55 (8) (2007)
Manel Martínez-Ramón, Vladimir Koltchinskii, Gregory L. Heileman, Stefan Posse
fMRI pattern classification using neuroanatomically constrained boosting. NeuroImage 31 (3) (2006)
M. Julia Fernández-Getino García, José Luis Rojo-Álvarez, Felipe Alonso Atienza, Manel Martínez-Ramón
Support vector machines for robust channel estimation in OFDM. IEEE Signal Process. Lett. 13 (7) (2006)
Jerónimo Arenas-García, Manel Martínez-Ramón, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Plant identification via adaptive combination of transversal filters. Signal Process. 86 (9) (2006)
Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal
Support Vector Machines for Nonlinear Kernel ARMA System Identification. IEEE Trans. Neural Networks 17 (6) (2006)
José Luis Rojo-Álvarez, Gustavo Camps-Valls, Manel Martínez-Ramón, Emilio Soria-Olivas, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Support vector machines framework for linear signal processing. Signal Process. 85 (12) (2005)
Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez, Emilio Soria-Olivas
-filter using support vector machines. Neurocomputing 62 (2004)
Francisco Javier González-Serrano, Manel Martínez-Ramón
Nonlinear Bitwise Equalization. ICT (2004)
Manel Martínez-Ramón, Antonio Artés-Rodríguez, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
Adaptively combined LMS and logistic equalizers. IEEE Signal Process. Lett. 11 (10) (2004)
Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. NIPS (2004)
Jerónimo Arenas-García, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal
Separate-variable adaptive combination of LMS adaptive filters for plant identification. NNSP (2003)
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Ana García Armada, Antonio Artés-Rodríguez
A robust support vector algorithm for nonparametric spectral analysis. IEEE Signal Process. Lett. 10 (11) (2003)
José Luis Rojo-Álvarez, Arcadi García-Alberola, Manel Martínez-Ramón, Mariano Valdés, Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez
Support Vector Robust Algorithms for Non-parametric Spectral Analysis. ICANN (2002)
Manel Martínez-Ramón, Jerónimo Arenas-García, Ángel Navia-Vázquez, Aníbal R. Figueiras-Vidal
An adaptive combination of adaptive filters for plant identification. DSP (2002)
José Luis Rojo-Álvarez, Manel Martínez-Ramón, Aníbal R. Figueiras-Vidal, Mario de Prado-Cumplido, Antonio Artés-Rodríguez
Support Vector Method for ARMA System Identification: A Robust Cost Interpretation. ICANN (2002)
Manel Martínez-Ramón, José-Luis Sancho-Gómez, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal
Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise. EUSIPCO (2000)
Abdelouahid Lyhyaoui, Manel Martínez-Ramón, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal
Sample selection via clustering to construct support vector-like classifiers. IEEE Trans. Neural Networks 10 (6) (1999)
Aníbal R. Figueiras-Vidal, Antonio Artés-Rodríguez, Jesús Cid-Sueiro, Manel Martínez-Ramón
Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning. EUSIPCO (1996)