Cesar F. Caiafa
Orcid: 0000-0001-5437-6095
According to our database1,
Cesar F. Caiafa
authored at least 49 papers
between 2006 and 2024.
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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
Enabling temporal-spectral decoding in multi-class single-side upper limb classification.
Eng. Appl. Artif. Intell., 2024
Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms.
Comput. Methods Programs Biomed., 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance.
Proceedings of the Forty-first International Conference on Machine Learning, 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
Sensors, December, 2023
Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis.
IEEE J. Biomed. Health Informatics, August, 2023
Pattern Recognit. Lett., January, 2023
Cogn. Comput., January, 2023
A sparse coding approach to inverse problems with application to microwave tomography imaging.
CoRR, 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations.
Proceedings of the International Conference on Machine Learning, 2023
2022
World Wide Web, 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
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
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
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
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
WIREs Data Mining Knowl. Discov., 2013
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Neural Comput., 2013
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
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Proceedings of the Advances in Nonlinear Speech Processing, 2011
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
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
Signal Process., 2008
2007
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