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2019

Bonilla-Escribano, Pablo; Ramírez, David; Sedano-Capdevila, Alba; Baca-García, Juan Jose Campaña-Montes E; Courtet, Philipe; Artes-Rodríguez, Antonio

Assessment of e-social activity in psychiatric patients Journal Article

IEEE J. Biomedical and Health Informatics, 23 (6), pp. 2247-2256, 2019, ISSN: 2168-2194.

Links | BibTeX | Tags: E-social Activity, expectation-maximisation algorithm, maximum likelihood, mixture model, point processes

2015

Nazabal, Alfredo; Artés-Rodríguez, Antonio

Discriminative spectral learning of hidden markov models for human activity recognition Inproceedings

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1966–1970, IEEE, Brisbane, 2015, ISBN: 978-1-4673-6997-8.

Abstract | Links | BibTeX | Tags: Accuracy, Bayesian estimation, classify sequential data, Data models, Databases, Discriminative learning, discriminative spectral learning, Hidden Markov models, HMM parameters, Human activity recognition, learning (artificial intelligence), maximum likelihood, maximum likelihood estimation, ML, moment matching learning technique, Observable operator models, sensors, Spectral algorithm, spectral learning, Speech recognition, Training

2009

Murillo-Fuentes, Juan Jose; Perez-Cruz, Fernando

Gaussian Process Regressors for Multiuser Detection in DS-CDMA Systems Journal Article

IEEE Transactions on Communications, 57 (8), pp. 2339–2347, 2009, ISSN: 0090-6778.

Abstract | Links | BibTeX | Tags: analytical nonlinear multiuser detectors, code division multiple access, communication systems, Detectors, digital communication, digital communications, DS-CDMA systems, Gaussian process for regressi, Gaussian process regressors, Gaussian processes, GPR, Ground penetrating radar, least mean squares methods, maximum likelihood, maximum likelihood detection, maximum likelihood estimation, mean square error methods, minimum mean square error, MMSE, Multiaccess communication, Multiuser detection, nonlinear estimator, nonlinear state-ofthe- art solutions, radio receivers, Receivers, regression analysis, Support vector machines