Manel Martínez-Ramón
Orcid: 0000-0001-6912-9951
According to our database1,
Manel Martínez-Ramón
authored at least 81 papers
between 1996 and 2023.
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Bibliography
2023
Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images.
Inf. Fusion, July, 2023
Detection of clouds in multiple wind velocity fields using ground-based infrared sky images.
Knowl. Based Syst., 2023
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems.
IEEE Access, 2023
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Neurocomputing, 2022
Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey.
CoRR, 2022
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey.
CoRR, 2022
LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey.
CoRR, 2022
Designing Monte Carlo Simulation and an Optimal Machine Learning to Optimize and Model Space Missions.
IEEE Access, 2022
2021
Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction.
CoRR, 2021
CoRR, 2021
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Deep learning based circuit topology estimation and fault classification in distribution systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
A Deep Q-learning based Path Planning and Navigation System for Firefighting Environments.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Eng. Appl. Artif. Intell., 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
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
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
Detecting breathing rates and depth of breath using LPCs and Restricted Boltzmann Machines.
Biomed. Signal Process. Control., 2019
2018
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting.
Eng. Appl. Artif. Intell., 2018
Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
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
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2014
WIREs Data Mining Knowl. Discov., 2014
IEEE Trans. Neural Networks Learn. Syst., 2014
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
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
2012
IEEE Trans. Speech Audio Process., 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
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012
2011
IEEE Trans. Neural Networks, 2011
Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia.
NeuroImage, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009
2008
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2008
EURASIP J. Adv. Signal Process., 2008
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008
Proceedings of the International Multiconference on Computer Science and Information Technology, 2008
2007
IEEE Trans. Signal Process., 2007
IEEE Signal Process. Lett., 2007
2006
Synthesis Lectures on Computational Electromagnetics, Morgan & Claypool Publishers, ISBN: 978-3-031-01692-9, 2006
IEEE Trans. Neural Networks, 2006
IEEE Signal Process. Lett., 2006
Signal Process., 2006
NeuroImage, 2006
2005
Signal Process., 2005
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
Proceedings of the Telecommunications and Networking, 2004
2003
IEEE Signal Process. Lett., 2003
Separate-variable adaptive combination of LMS adaptive filters for plant identification.
Proceedings of the NNSP 2003, 2003
2002
Proceedings of the 14th International Conference on Digital Signal Processing, 2002
Proceedings of the Artificial Neural Networks, 2002
Proceedings of the Artificial Neural Networks, 2002
2000
Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.
Proceedings of the 10th European Signal Processing Conference, 2000
1999
IEEE Trans. Neural Networks, 1999
1996
Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.
Proceedings of the 8th European Signal Processing Conference, 1996