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ORCIDCesar F. Caiafa
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2020 – today
- 2024
[j29]Salman Ahmadi-Asl
, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection. Adv. Comput. Math. 50(2): 23 (2024)- [j28]Shurun Wang, Hao Tang, Ryutaro Himeno, Jordi Solé-Casals, Cesar F. Caiafa, Shuning Han, Shigeki Aoki, Zhe Sun:
Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms. Comput. Methods Programs Biomed. 257: 108419 (2024) - [j27]Hao Jia, Zihao Huang, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease. Cogn. Comput. 16(1): 229-242 (2024) - [j26]Hao Jia, Shuning Han, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Enabling temporal-spectral decoding in multi-class single-side upper limb classification. Eng. Appl. Artif. Intell. 133: 108473 (2024) - [c15]Shuning Han, Zhe Sun, Kanhao Zhao, Feng Duan, Cesar F. Caiafa, Yu Zhang, Jordi Solé-Casals:
An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment. BIOSTEC (1) 2024: 656-666 - [c14]Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao:
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML 2024 - [i11]Salman Ahmadi-Asl, Naeim Rezaeian, Cesar F. Caiafa, Andre L. F. de Almeida:
Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications to Image Compression, Super-Resolution and Deep Learning. CoRR abs/2412.02598 (2024) - 2023
- [j25]Zhao Zhang, Shuning Han, Huaihai Yi, Feng Duan, Fei Kang, Zhe Sun, Jordi Solé-Casals, Cesar F. Caiafa:
A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials. Cogn. Comput. 15(1): 159-175 (2023) - [j24]Zhe Sun, Vassilis Cutsuridis, Cesar F. Caiafa, Jordi Solé-Casals:
Brain Simulation and Spiking Neural Networks. Cogn. Comput. 15(4): 1103-1105 (2023) - [j23]Jianing Xue, Zhe Sun, Feng Duan, Cesar F. Caiafa, Jordi Solé-Casals:
Underwater sEMG-based recognition of hand gestures using tensor decomposition. Pattern Recognit. Lett. 165: 39-46 (2023) - [j22]Cesar F. Caiafa, Zhe Sun, Toshihisa Tanaka, Pere Martí-Puig, Jordi Solé-Casals:
Special Issue "Machine Learning Methods for Biomedical Data Analysis". Sensors 23(23): 9377 (2023) - [j21]Hao Jia, Fan Feng, Cesar F. Caiafa, Feng Duan, Yu Zhang, Zhe Sun, Jordi Solé-Casals:
Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis. IEEE J. Biomed. Health Informatics 27(8): 3867-3877 (2023) - [c13]Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao:
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. ICML 2023: 20384-20411 - [i10]Chao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao:
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. CoRR abs/2304.12875 (2023) - [i9]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection. CoRR abs/2305.00749 (2023) - [i8]Cesar F. Caiafa, Ramiro M. Irastorza:
A sparse coding approach to inverse problems with application to microwave tomography imaging. CoRR abs/2308.03818 (2023) - 2022
- [j20]Wenjian Ding, Zhe Sun, Xingxing Wu, Zhenglu Yang, Jordi Solé-Casals, Cesar F. Caiafa:
Tensor completion algorithms for estimating missing values in multi-channel audio signals. Comput. Electr. Eng. 97: 107561 (2022) - [j19]Zhiwen Zhang, Feng Duan, Cesar F. Caiafa, Jordi Solé-Casals, Zhenglu Yang, Zhe Sun:
Domain classifier-based transfer learning for visual attention prediction. World Wide Web 25(4): 1685-1701 (2022) - [i7]Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals:
Improving Pre-movement Pattern Detection with Filter Bank Selection. CoRR abs/2201.12153 (2022) - [i6]Hao Jia, Zhe Sun, Feng Duan, Yu Zhang, Cesar F. Caiafa, Jordi Solé-Casals:
Towards Multi-class Pre-movement Classification. CoRR abs/2201.12157 (2022) - 2021
- [j18]Zhe Sun, Binghua Li, Feng Duan, Hao Jia, Shan Wang, Yu Liu, Andrzej Cichocki, Cesar F. Caiafa, Jordi Solé-Casals:
WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks. IEEE Access 9: 3165-3173 (2021) - [j17]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j16]Ying Tan, Zhe Sun, Feng Duan, Jordi Solé-Casals, Cesar F. Caiafa:
A multimodal emotion recognition method based on facial expressions and electroencephalography. Biomed. Signal Process. Control. 70: 103029 (2021) - [j15]Yangyang Dai, Feng Duan, Fan Feng, Zhe Sun, Yu Zhang, Cesar F. Caiafa, Pere Martí-Puig, Jordi Solé-Casals:
A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition. Entropy 23(9): 1170 (2021) - [j14]Jin Zhang, Fan Feng, Pere Martí-Puig, Cesar F. Caiafa, Zhe Sun, Feng Duan, Jordi Solé-Casals:
Serial-EMD: Fast empirical mode decomposition method for multi-dimensional signals based on serialization. Inf. Sci. 581: 215-232 (2021) - [c12]Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. CVPR Workshops 2021: 2621-2630 - [i5]Jin Zhang, Fan Feng, Pere Martí-Puig, Cesar F. Caiafa, Zhe Sun, Feng Duan, Jordi Solé-Casals:
Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-dimensional Signals Based on Serialization. CoRR abs/2106.15319 (2021) - 2020
- [i4]Cesar F. Caiafa, Ziyao Wang, Jordi Solé-Casals, Qibin Zhao:
Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. CoRR abs/2011.14047 (2020)
2010 – 2019
- 2019
- [c11]Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White:
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. NeurIPS 2019: 8847-8857 - 2018
- [j13]Jordi Solé-Casals, Cesar Federico Caiafa, Qibin Zhao, Andrzej Cichocki:
Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. Cogn. Comput. 10(6): 1062-1074 (2018) - 2017
- [c10]Shashank Gugnani, Xiaoyi Lu, Franco Pestilli, Cesar F. Caiafa, Dhabaleswar K. Panda:
MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI. HiPC 2017: 213-222 - [c9]Cesar F. Caiafa, Olaf Sporns, Andrew J. Saykin, Franco Pestilli:
Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. NIPS 2017: 4340-4351 - 2016
- [j12]Hiromasa Takemura, Cesar F. Caiafa, Brian A. Wandell, Franco Pestilli:
Ensemble Tractography. PLoS Comput. Biol. 12(2) (2016) - 2015
- [j11]Andrzej Cichocki, Danilo P. Mandic, Lieven De Lathauwer, Guoxu Zhou, Qibin Zhao, Cesar F. Caiafa, Anh Huy Phan:
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2): 145-163 (2015) - [j10]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections. IEEE Trans. Signal Process. 63(3): 780-793 (2015) - 2014
- [c8]Cesar Federico Caiafa, Andrzej Cichocki:
Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements. ICASSP 2014: 6790-6794 - [i3]Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer:
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR abs/1403.4462 (2014) - [i2]Cesar F. Caiafa, Andrzej Cichocki:
Stable, Robust and Super Fast Reconstruction of Tensors Using Multi-Way Projections. CoRR abs/1406.3295 (2014) - 2013
- [j9]Jordi Solé-Casals, Cesar F. Caiafa:
A Fast Gradient Approximation for Nonlinear Blind Signal Processing. Cogn. Comput. 5(4): 483-492 (2013) - [j8]Cesar F. Caiafa, Andrzej Cichocki:
Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. Neural Comput. 25(1): 186-220 (2013) - [j7]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j6]Cesar F. Caiafa, Andrzej Cichocki:
Multidimensional compressed sensing and their applications. WIREs Data Mining Knowl. Discov. 3(6): 355-380 (2013) - [c7]Cesar F. Caiafa, Ercan E. Kuruoglu:
Using Generic Order Moments for separation of dependent sources with linear conditional expectations. EUSIPCO 2013: 1-5 - 2012
- [j5]Cesar F. Caiafa:
On the conditions for valid objective functions in blind separation of independent and dependent sources. EURASIP J. Adv. Signal Process. 2012: 255 (2012) - [c6]Cesar F. Caiafa, Andrzej Cichocki:
Block sparse representations of tensors using Kronecker bases. ICASSP 2012: 2709-2712 - [i1]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - 2011
- [c5]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - [c4]Jordi Solé-Casals, Cesar F. Caiafa:
A Simple Approximation for Fast Nonlinear Deconvolution. NOLISP 2011: 55-62
2000 – 2009
- 2009
- [j4]Cesar F. Caiafa, Andrzej Cichocki:
Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP. Neural Comput. 21(12): 3487-3518 (2009) - [c3]Qibin Zhao, Cesar F. Caiafa, Andrzej Cichocki, Liqing Zhang, Anh Huy Phan:
Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. ICONIP (1) 2009: 221-228 - 2008
- [j3]Cesar F. Caiafa, Emanuele Salerno, Araceli N. Proto, L. Fiumi:
Blind spectral unmixing by local maximization of non-Gaussianity. Signal Process. 88(1): 50-68 (2008) - 2007
- [j2]Cesar F. Caiafa, Araceli N. Proto, Ercan E. Kuruoglu:
Long correlation Gaussian random fields: Parameter estimation and noise reduction. Digit. Signal Process. 17(4): 819-835 (2007) - [c2]Cesar F. Caiafa, Emanuele Salerno, Araceli N. Proto:
Blind Source Separation Applied to Spectral Unmixing: Comparing Different Measures of Nongaussianity. KES (3) 2007: 1-8 - 2006
- [j1]Cesar F. Caiafa, Araceli N. Proto:
Separation of statistically dependent sources using an L2-distance non-Gaussianity measure. Signal Process. 86(11): 3404-3420 (2006) - [c1]Cesar F. Caiafa, Emanuele Salerno, Araceli N. Proto, L. Fiumi:
Dependent component analysis as a tool for blind spectral unmixing of remote sensed images. EUSIPCO 2006: 1-5
Coauthor Index
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