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Rubén Martín-Clemente
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2020 – today
- 2023
- [j20]Roman Michael Sennefelder
, Rubén Martín-Clemente
Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning. IEEE Access 11: 97057-97071 (2023) - [j19]Pedro Blanco-Carmona, Lucía Baeza-Moreno, Eduardo Hidalgo Fort
AIoT in Agriculture: Safeguarding Crops from Pest and Disease Threats. Sensors 23(24): 9733 (2023) - 2022
- [j18]Roman Michael Sennefelder
Driving Cycle Synthesis, Aiming for Realness, by Extending Real-World Driving Databases. IEEE Access 10: 54123-54135 (2022) - [j17]Juan Manuel Górriz, Rubén Martín-Clemente
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510: 159-171 (2022) - [c22]Roman Michael Sennefelder, Rubén Martín-Clemente, Ramón González Carvajal:
Data Driven Characterization and Predictive Classification of Energy Economy for Public Transport. CSCI 2022: 1254-1262 - [d1]Javier Olias
Supplementary Material for "EEG Signal Processing in MI-BCI Applications with Improved Covariance Matrix Estimators". IEEE DataPort, 2022 - [i1]J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. CoRR abs/2202.04397 (2022) - 2021
- [j16]José Luis Camargo-Olivares, Rubén Martín-Clemente
L1-norm unsupervised Fukunaga-Koontz transform. Signal Process. 182: 107942 (2021) - 2020
- [j15]Susana Hornillo-Mellado
Prediction of Satellite Shadowing in Smart Cities with Application to IoT. Sensors 20(2): 475 (2020) - [j14]Rubén Martín-Clemente
LDA via L1-PCA of Whitened Data. IEEE Trans. Signal Process. 68: 225-240 (2020)
2010 – 2019
- 2019
- [j13]Sergio Cruces
Information Theory Applications in Signal Processing. Entropy 21(7): 653 (2019) - 2018
- [j12]Rubén Martín-Clemente
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison. Entropy 20(1): 7 (2018) - [j11]José Ramón García Oya
Passive RFID-Based Inventory of Traffic Signs on Roads and Urban Environments. Sensors 18(7): 2385 (2018) - [c21]Rubén Martín-Clemente, Vicente Zarzoso:
Unsupervised Classification of Array Data Based on the L1-Norm. ACSSC 2018: 343-176 - 2017
- [j10]Rubén Martín-Clemente
On the Link Between L1-PCA and ICA. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 515-528 (2017) - [c20]Rubén Martín-Clemente, Vicente Zarzoso:
L1-PCA signal subspace identification for non-sphered data under the ICA model. CAMSAP 2017: 1-5 - 2013
- [c19]Eduardo Hidalgo Fort, Fernando Muñoz
Wireless inventory of traffic signs based on passive RFID technology. IECON 2013: 5467-5471 - 2012
- [j9]Vicente Zarzoso, Rubén Martín-Clemente
Independent component analysis based on first-order statistics. Signal Process. 92(8): 1779-1784 (2012) - 2011
- [j8]José Luis Camargo-Olivares, Rubén Martín-Clemente
The Maternal Abdominal ECG as Input to MICA in the Fetal ECG Extraction Problem. IEEE Signal Process. Lett. 18(3): 161-164 (2011) - [j7]Rubén Martín-Clemente
Fast Technique for Noninvasive Fetal ECG Extraction. IEEE Trans. Biomed. Eng. 58(2): 227-230 (2011) - [c18]Rubén Martín-Clemente
Fast Independent Component Analysis Using a New Property. IWANN (2) 2011: 477-483 - [c17]Rubén Martín-Clemente
Independent Component Analysis: A Low-Complexity Technique. IWINAC (2) 2011: 324-332
2000 – 2009
- 2007
- [c16]Salua Nassabay, Ingo R. Keck, Carlos García Puntonet, Juan Manuel Górriz, J. Pérez de Inestroaa, Rubén Martín-Clemente:
Noisy image processing using the independent component analysis algorithm AMUSE. ANNIIP 2007: 83-90 - [c15]Salua Nassabay, Ingo R. Keck
Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis. IWANN 2007: 692-699 - 2006
- [j6]Susana Hornillo-Mellado
Maximization of statistical moments for blind separation of sources revisited. Neurocomputing 69(13-15): 1425-1434 (2006) - [j5]Rubén Martín-Clemente
Effective blind separation of skewed sources. Signal Process. 86(10): 3085-3088 (2006) - [c14]Rubén Martín-Clemente, Susana Hornillo-Mellado:
Contributions to ICA of natural images. EUSIPCO 2006: 1-5 - 2005
- [c13]Susana Hornillo-Mellado, Rubén Martín-Clemente
Connections Between ICA and Sparse Coding Revisited. IWANN 2005: 1035-1042 - [c12]Susana Hornillo-Mellado, Rubén Martín-Clemente
On the Connection Between the Human Visual System and Independent Component Analysis. IWINAC (2) 2005: 594-603 - 2004
- [j4]Rubén Martín-Clemente
Eigendecomposition of self-tuned cumulant-matrices for blind source separation. Signal Process. 84(7): 1201-1211 (2004) - [j3]Fernando Rojas
Blind source separation in post-nonlinear mixtures using competitive learning, Simulated annealing, and a genetic algorithm. IEEE Trans. Syst. Man Cybern. Part C 34(4): 407-416 (2004) - [c11]Rubén Martín-Clemente
New Eigensystem-Based Method for Blind Source Separation. ICA 2004: 33-40 - [c10]Manuel Rodríguez Álvarez, Fernando Rojas Ruiz
Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals. ICA 2004: 350-357 - [c9]Susana Hornillo-Mellado, Carlos García Puntonet, Rubén Martín-Clemente
Characterization of the Sources in Convolutive Mixtures: A Cumulant-Based Approach. ICA 2004: 586-593 - [c8]Juan Manuel Górriz Sáez, Carlos García Puntonet, Rubén Martín-Clemente:
Improving ICA Algorithms Applied to Predicting Stock Returns. ICETE (3) 2004: 351-355 - [c7]Juan Manuel Górriz Sáez, Carlos García Puntonet, Moisés Salmerón, Rubén Martín-Clemente
Parallelization of Time Series Forecasting Model. PDP 2004: 103- - 2003
- [c6]Rubén Martín-Clemente, Susana Hornillo-Mellado, José I. Acha, Fernando Rojas Ruiz, Carlos García Puntonet:
Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation. ESANN 2003: 137-142 - [c5]Susana Hornillo-Mellado, Rubén Martín-Clemente
Application of Independent Component Analysis to Edge Detection and Watermarking. IWANN (2) 2003: 273-280 - 2002
- [j2]Rubén Martín-Clemente
New equations and iterative algorithm for blind separation of sources. Signal Process. 82(6): 861-873 (2002) - [c4]Rubén Martín-Clemente, José I. Acha:
A new cumulant-based criterion for iterative Blind Source Separation. EUSIPCO 2002: 1-4 - [c3]Fernando Rojas
Applying Neural Networks and Genetic Algorithms to the Separation of Sources. IBERAMIA 2002: 420-429 - 2001
- [c2]Rubén Martín-Clemente
Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton's Method. ICANN 2001: 521-526 - [c1]Rubén Martín-Clemente
A Conjugate Gradient Method and Simulated Annealing for Blind Separation of Sources. IWANN (2) 2001: 810-817
1990 – 1999
- 1997
- [j1]José I. Acha, Rubén Martín-Clemente
Design of log FIR filters. Signal Process. 62(2): 243-246 (1997)
Coauthor Index
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