Manel Martínez-Ramón

According to our database1, Manel Martínez-Ramón authored at least 58 papers between 1996 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 




A Novel Indoor Positioning System for unprepared firefighting scenarios.
CoRR, 2020

A conditional one-output likelihood formulation for multitask Gaussian processes.
CoRR, 2020

Time accelerated image super-resolution using shallow residual feature representative network.
CoRR, 2020

A Deep Learning Framework for Detection of Targets in Thermal Images to Improve Firefighting.
IEEE Access, 2020

Semi-supervised facial expression recognition using reduced spatial features and Deep Belief Networks.
Neurocomputing, 2019

Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data.
CoRR, 2019

Detection and Identification of Objects and Humans in Thermal Images.
CoRR, 2019

Data Selection for Short Term load forecasting.
CoRR, 2019

Detecting breathing rates and depth of breath using LPCs and Restricted Boltzmann Machines.
Biomed. Signal Process. Control., 2019

Unsupervised Segmentation of Fire and Smoke From Infra-Red Videos.
IEEE Access, 2019

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.
Eng. Appl. Artif. Intell., 2018

Delay model and machine learning exploration of a hardware-embedded delay PUF.
Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018

Prediction of graduation delay based on student performance.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Smart Grid: ICT Control for Distributed Energy Resources.
Int. J. Distributed Sens. Networks, 2016

QoS Performance Evaluation of Disjoint Queue Scheduler for Video-Applications over LTE-A HetNets.
Proceedings of the 7th International Conference on Computing Communication and Networking Technologies, 2016

Feature selection in solar radiation prediction using bootstrapped SVRs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Support vector machines in engineering: an overview.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Neural Networks Learn. Syst., 2014

Spectrally adapted Mercer kernels for support vector nonuniform interpolation.
Signal Process., 2014

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia.
NeuroImage, 2014

Discovering brain regions relevant to obsessive-compulsive disorder identification through bagging and transduction.
Medical Image Anal., 2014

A unified SVM framework for signal estimation.
Digit. Signal Process., 2014

Automatic Design of Neuromarkers for OCD Characterization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Real-Time Robust Automatic Speech Recognition Using Compact Support Vector Machines.
IEEE Trans. Speech Audio Process., 2012

Analysis of fMRI time series with mutual information.
Medical Image Anal., 2012

Voxel Selection in MRI through Bagging and Conformal Analysis: Application to Detection of Obsessive Compulsive Disorder.
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

fMRI brain mapping with kernels.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

Support Vector Machines With Constraints for Sparsity in the Primal Parameters.
IEEE Trans. Neural Networks, 2011

Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia.
NeuroImage, 2011

Identification of OCD-Relevant Brain Areas through Multivariate Feature Selection.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Explicit recursivity into reproducing kernel Hilbert spaces.
Proceedings of the IEEE International Conference on Acoustics, 2011

Spectrally adapted mercer kernels for support vector signal interpolation.
Proceedings of the 19th European Signal Processing Conference, 2011

An Introduction to Kernel Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Applications of Kernel Methods.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Learning non-linear time-scales with kernel gamma-filters.
Neurocomputing, 2009

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2008

Sparse Deconvolution Using Support Vector Machines.
EURASIP J. Adv. Signal Process., 2008

UC3M High Level Feature Extraction at TRECVID 2008.
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

Support vector machines with composite kernels for nonlinear systems identification.
Proceedings of the International Multiconference on Computer Science and Information Technology, 2008

Nonuniform Interpolation of Noisy Signals Using Support Vector Machines.
IEEE Trans. Signal Process., 2007

Nonlinear System Identification With Composite Relevance Vector Machines.
IEEE Signal Process. Lett., 2007

Support Vector Machines for Antenna Array Processing and Electromagnetics
Synthesis Lectures on Computational Electromagnetics, Morgan & Claypool Publishers, 2006

Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks, 2006

Support vector machines for robust channel estimation in OFDM.
IEEE Signal Process. Lett., 2006

Plant identification via adaptive combination of transversal filters.
Signal Process., 2006

fMRI pattern classification using neuroanatomically constrained boosting.
NeuroImage, 2006

Support vector machines framework for linear signal processing.
Signal Process., 2005

Adaptively combined LMS and logistic equalizers.
IEEE Signal Process. Lett., 2004

Robust <i>gamma</i>-filter using support vector machines.
Neurocomputing, 2004

Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Nonlinear Bitwise Equalization.
Proceedings of the Telecommunications and Networking, 2004

Separate-variable adaptive combination of LMS adaptive filters for plant identification.
Proceedings of the NNSP 2003, 2003

Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.
Proceedings of the Artificial Neural Networks, 2002

Support Vector Robust Algorithms for Non-parametric Spectral Analysis.
Proceedings of the Artificial Neural Networks, 2002

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.
Proceedings of the 10th European Signal Processing Conference, 2000

Sample selection via clustering to construct support vector-like classifiers.
IEEE Trans. Neural Networks, 1999

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.
Proceedings of the 8th European Signal Processing Conference, 1996