Cesar F. Caiafa

Orcid: 0000-0001-5437-6095

According to our database1, Cesar F. Caiafa authored at least 46 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection.
Adv. Comput. Math., April, 2024

Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease.
Cogn. Comput., January, 2024

An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Special Issue "Machine Learning Methods for Biomedical Data Analysis".
Sensors, December, 2023

Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis.
IEEE J. Biomed. Health Informatics, August, 2023

Underwater sEMG-based recognition of hand gestures using tensor decomposition.
Pattern Recognit. Lett., January, 2023

A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials.
Cogn. Comput., January, 2023

A sparse coding approach to inverse problems with application to microwave tomography imaging.
CoRR, 2023

Brain Simulation and Spiking Neural Networks.
Cogn. Comput., 2023

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations.
Proceedings of the International Conference on Machine Learning, 2023

2022
Domain classifier-based transfer learning for visual attention prediction.
World Wide Web, 2022

Towards Multi-class Pre-movement Classification.
CoRR, 2022

Improving Pre-movement Pattern Detection with Filter Bank Selection.
CoRR, 2022

Tensor completion algorithms for estimating missing values in multi-channel audio signals.
Comput. Electr. Eng., 2022

2021
Serial-EMD: Fast empirical mode decomposition method for multi-dimensional signals based on serialization.
Inf. Sci., 2021

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition.
Entropy, 2021

A multimodal emotion recognition method based on facial expressions and electroencephalography.
Biomed. Signal Process. Control., 2021

WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks.
IEEE Access, 2021

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction.
IEEE Access, 2021

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding.
CoRR, 2020

2019
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach.
Cogn. Comput., 2018

2017
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

2016
Ensemble Tractography.
PLoS Comput. Biol., 2016

2015
Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections.
IEEE Trans. Signal Process., 2015

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis.
IEEE Signal Process. Mag., 2015

2014
Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Multidimensional compressed sensing and their applications.
WIREs Data Mining Knowl. Discov., 2013

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases.
Neural Comput., 2013

A Fast Gradient Approximation for Nonlinear Blind Signal Processing.
Cogn. Comput., 2013

Using Generic Order Moments for separation of dependent sources with linear conditional expectations.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
On the conditions for valid objective functions in blind separation of independent and dependent sources.
EURASIP J. Adv. Signal Process., 2012

Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method
CoRR, 2012

Block sparse representations of tensors using Kronecker bases.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Simple Approximation for Fast Nonlinear Deconvolution.
Proceedings of the Advances in Nonlinear Speech Processing, 2011

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2009
Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP.
Neural Comput., 2009

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Blind spectral unmixing by local maximization of non-Gaussianity.
Signal Process., 2008

2007
Long correlation Gaussian random fields: Parameter estimation and noise reduction.
Digit. Signal Process., 2007

Blind Source Separation Applied to Spectral Unmixing: Comparing Different Measures of Nongaussianity.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Separation of statistically dependent sources using an L<sup>2</sup>-distance non-Gaussianity measure.
Signal Process., 2006

Dependent component analysis as a tool for blind spectral unmixing of remote sensed images.
Proceedings of the 14th European Signal Processing Conference, 2006


  Loading...