Carlos A. Loza

发表

RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations

Carlos A. Loza, 2019, PeerJ Comput. Sci..

Robust Estimation of Shift–Invariant Patterns Exploiting Correntropy

Jose C. Principe, Carlos A. Loza, 2018, 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM).

RobOMP: Robust variants of Orthogonal Matching Pursuit for sparse representations

Carlos A. Loza, 2019, PeerJ Prepr..

A Robust Fully Correntropy-Based Sparse Modeling Alternative to Dictionary Learning

Carlos A. Loza, 2019, 3PGCIC.

Sparse Wave Packets Discriminate Motor Tasks in EEG–based BCIs

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2019, 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

A robust maximum correntropy criterion for dictionary learning

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

A marked point process approach for identifying neural correlates of tics in Tourette Syndrome

José Carlos Príncipe, Aysegul Gunduz, Michael S. Okun, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Transient model of EEG using Gini Index-based matching pursuit

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical Linear Dynamical Systems: A new model for clustering of time series

José Carlos Príncipe, Carlos A. Loza, Goktug T. Cinar, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Unsupervised robust detection of behavioral correlates in ECoG

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2017, 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER).

The Embedding Transform. A Novel Analysis of Non-Stationarity in the EEG

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Generalized Correntropy Matching Pursuit: A novel, robust algorithm for sparse decomposition

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Classification of hand movement direction based on EEG high-gamma activity

José Carlos Príncipe, Carlos A. Loza, Mehrnaz Kh. Hazrati, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Marked Point Process Framework for Extracellular Electrical Potentials

Michael S. Okun, José C. Príncipe, Carlos A. Loza, 2017, Front. Syst. Neurosci..

The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs

José Carlos Príncipe, Carlos A. Loza, 2019, IWANN.

Robust K-SVD: A Novel Approach for Dictionary Learning

Carlos A. Loza, 2018, IWAIPR.

Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach

José Carlos Príncipe, Carlos A. Loza, J. Príncipe, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Neural Dynamic Bayesian Networks Applied to EEG Sleep Spindles Modeling

Carlos A. Loza, Laura L. Colgin, L. Colgin, 2020, MICCAI.

Discrimination of Movement-Related Cortical Potentials Exploiting Unsupervised Learned Representations From ECoGs

José C. Príncipe, Carlos A. Loza, Shailaja Akella, 2019, Front. Neurosci..

EEG Models and Analysis

Carlos A. Loza, J. Príncipe, 2021, Handbook of Neuroengineering.

Hippocampal place cell sequences differ during correct and error trials in a spatial memory task

Carlos A. Loza, L. Colgin, C. Zheng, 2021, Nature Communications.

Robust Variants of Dictionary Learning Exploiting M-Estimators

Carlos A. Loza, Carlos A. Loza, 2019, 2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).

Robust autoregressive hidden semi-Markov models applied to EEG sleep spindles detection pdf

Carlos A. Loza, Laura L. Colgin, Carlos A. Loza, 2020, ArXiv.