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Carretero, Patricia; Campaña-Montes, Juan José; Artés-Rodríguez, Antonio

Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior Journal Article

Current Topics in Behavioral Neurosciences, 2020.

Links | BibTeX | Tags: Big data, Digital footprint, Digital phenotype, e-health, Ecological momentary assessment, Machine learning, Mobile health, Suicidal risk, Wearable devices


Yiu, Simon; Dashti, Marzieh; Claussen, Holger; Perez-Cruz, Fernando

Wireless RSSI Fingerprinting Localization Journal Article

Signal Processing, 131 , pp. 235–244, 2017, ISSN: 01651684.

Abstract | Links | BibTeX | Tags: Fingerprinting localization, Gaussian Process, Journal, Location-based service (LBS), Machine learning, Non-parametric model, Pathloss model, Received signal strength indicator (RSSI)


Elvira, Victor; Martino, Luca; Luengo, David; Corander, Jukka

A Gradient Adaptive Population Importance Sampler Inproceedings

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4075–4079, IEEE, Brisbane, 2015, ISBN: 978-1-4673-6997-8.

Abstract | Links | BibTeX | Tags: adaptive extensions, adaptive importance sampler, Adaptive importance sampling, gradient adaptive population, gradient matrix, Hamiltonian Monte Carlo, Hessian matrices, Hessian matrix, learning (artificial intelligence), Machine learning, MC methods, Monte Carlo, Monte Carlo methods, population Monte Carlo (PMC), proposal densities, Signal processing, Sociology, statistics, target distribution

Martino, Luca; Elvira, Victor; Luengo, David; Artés-Rodríguez, Antonio; Corander, Jukka

Smelly Parallel MCMC Chains Inproceedings

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4070–4074, IEEE, Brisbane, 2015, ISBN: 978-1-4673-6997-8.

Abstract | Links | BibTeX | Tags: Bayesian inference, learning (artificial intelligence), Machine learning, Markov chain Monte Carlo, Markov chain Monte Carlo algorithms, Markov processes, MC methods, MCMC algorithms, MCMC scheme, mean square error, mean square error methods, Monte Carlo methods, optimisation, parallel and interacting chains, Probability density function, Proposals, robustness, Sampling methods, Signal processing, Signal processing algorithms, signal sampling, smelly parallel chains, smelly parallel MCMC chains, Stochastic optimization


O'Mahony, Niamh; Florentino-Liaño, Blanca; Carballo, Juan J; Baca-García, Enrique; Artés-Rodríguez, Antonio

Objective diagnosis of ADHD using IMUs Journal Article

Medical engineering & physics, 36 (7), pp. 922–6, 2014, ISSN: 1873-4030.

Abstract | Links | BibTeX | Tags: Attention deficit/hyperactivity disorder, Classification, Inertial sensors, Machine learning, Objective diagnosis


Perez-Cruz, Fernando; Vaerenbergh, Steven Van; Murillo-Fuentes, Juan Jose; Lazaro-Gredilla, Miguel; Santamaria, Ignacio

Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances Journal Article

IEEE Signal Processing Magazine, 30 (4), pp. 40–50, 2013, ISSN: 1053-5888.

Abstract | Links | BibTeX | Tags: adaptive algorithm, Adaptive algorithms, classification scenario, Gaussian processes, Learning systems, Machine learning, Noise measurement, nonGaussian noise model, Nonlinear estimation, nonlinear estimation problem, nonlinear signal processing, optimal Wiener filtering, recursive algorithm, Signal processing, Wiener filters, wireless digital communication

Leiva-Murillo, Jose M; Gomez-Chova, Luis; Camps-Valls, Gustavo

Multitask Remote Sensing Data Classification Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 51 (1), pp. 151–161, 2013, ISSN: 0196-2892.

Links | BibTeX | Tags: Aggregates, angular image features, Cloud screening, covariate shift, covariate shift (CS), cross information, data processing problems, data set bias, domain adaptation, geophysical image processing, Hilbert space pairwise predictor Euclidean distanc, image classification, image feature nonstationary behavior, Kernel, land mine detection, land-mine detection, learning (artificial intelligence), Machine learning, matrix decomposition, matrix regularization, MTL, multisource image classification, multispectral images, multitask learning, multitask learning (MTL), multitask remote sensing data classification, multitemporal classification, multitemporal image classification, radar data, regularization schemes, relational operators, Remote sensing, small sample set problem, spatial image features, Standards, support vector machine, support vector machine (SVM), Support vector machines, SVM, temporal image features, Training, urban monitoring


Landa-Torres, Itziar; Ortiz-Garcia, Emilio G; Salcedo-Sanz, Sancho; Segovia-Vargas, María J; Gil-Lopez, Sergio; Miranda, Marta; Leiva-Murillo, Jose M; Ser, Javier Del

Evaluating the Internationalization Success of Companies Through a Hybrid Grouping Harmony Search—Extreme Learning Machine Approach Journal Article

IEEE Journal of Selected Topics in Signal Processing, 6 (4), pp. 388–398, 2012, ISSN: 1932-4553.

Abstract | Links | BibTeX | Tags: Companies, Company internationalization, corporative strategy, diverse activity, Economics, Electronic mail, ensembles, exporting, exporting performance, external markets, extreme learning machine ensemble, extreme learning machines, feature selection method, grouping-based harmony search, hard process, harmony search (HS), hybrid algorithm, hybrid algorithms, hybrid grouping harmony search-extreme learning ma, hybrid soft computing, international company, international trade, internationalization procedure, internationalization success, learning (artificial intelligence), Machine learning, organizational structure, Signal processing algorithms, Spanish manufacturing company, Training, value chain

Leiva-Murillo, Jose M; Artés-Rodríguez, Antonio

Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review Journal Article

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42 (6), pp. 1180–1189, 2012, ISSN: 1094-6977.

Abstract | Links | BibTeX | Tags: Bandwidth, Density, detection theory, Entropy, Estimation, Feature extraction, Feature extraction (FE), information theoretic linear feature extraction, information theory, information-theoretic learning (ITL), Kernel, Kernel density estimation, kernel density estimators, Machine learning


Olmos, Pablo M; Murillo-Fuentes, Juan Jose; Perez-Cruz, Fernando

Joint Nonlinear Channel Equalization and Soft LDPC Decoding with Gaussian Processes Journal Article

IEEE Transactions on Signal Processing, 58 (3), pp. 1183–1192, 2010, ISSN: 1053-587X.

Abstract | Links | BibTeX | Tags: Bayesian nonlinear classification tool, Bit error rate, Channel Coding, channel equalizers, Channel estimation, Coding, equalisers, equalization, error statistics, Gaussian processes, GPC, joint nonlinear channel equalization, low-density parity-check (LDPC), low-density parity-check channel decoder, Machine learning, nonlinear channel, nonlinear codes, parity check codes, posterior probability estimates, soft LDPC decoding, soft-decoding, support vector machine (SVM)


Perez-Cruz, Fernando

Kullback-Leibler Divergence Estimation of Continuous Distributions Inproceedings

2008 IEEE International Symposium on Information Theory, pp. 1666–1670, IEEE, Toronto, 2008, ISBN: 978-1-4244-2256-2.

Abstract | Links | BibTeX | Tags: Convergence, density estimation, Density measurement, Entropy, Frequency estimation, H infinity control, information theory, k-nearest-neighbour density estimation, Kullback-Leibler divergence estimation, Machine learning, Mutual information, neuroscience, Random variables, statistical distributions, waiting-times distributions