Dependent component analysis as a tool for blind spectral unmixing of remote sensed images. - Cesar F. Caiafa; Emanuele Salerno; Araceli N. Proto; L. Fiumi (EUSIPCO, 2006)

Separation of statistically dependent sources using an L2-distance non-Gaussianity measure. - Cesar F. Caiafa; Araceli N. Proto (Signal Process., 2006)

Blind Source Separation Applied to Spectral Unmixing: Comparing Different Measures of Nongaussianity. - Cesar F. Caiafa; Emanuele Salerno; Araceli N. Proto (KES (3), 2007)

Long correlation Gaussian random fields: Parameter estimation and noise reduction. - Cesar F. Caiafa; Araceli N. Proto; Ercan E. Kuruoglu (Digit. Signal Process., 2007)

Blind spectral unmixing by local maximization of non-Gaussianity. - Cesar F. Caiafa; Emanuele Salerno; Araceli N. Proto; L. Fiumi (Signal Process., 2008)

Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains. - Qibin Zhao; Cesar F. Caiafa; Andrzej Cichocki; Liqing Zhang 001; Anh Huy Phan 001 (ICONIP (1), 2009)

Estimation of Sparse Nonnegative Sources from Noisy Overcomplete Mixtures Using MAP. - Cesar F. Caiafa; Andrzej Cichocki (Neural Comput., 2009)

Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Liqing Zhang 001; Tonio Ball; Andreas Schulze-Bonhage; Andrzej Cichocki (NIPS, 2011)

A Simple Approximation for Fast Nonlinear Deconvolution. - Jordi Solé-Casals; Cesar F. Caiafa (NOLISP, 2011)

Block sparse representations of tensors using Kronecker bases. - Cesar F. Caiafa; Andrzej Cichocki (ICASSP, 2012)

Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Zenas C. Chao; Yasuo Nagasaka; Naotaka Fujii; Liqing Zhang 001; Andrzej Cichocki (CoRR, 2012)

On the conditions for valid objective functions in blind separation of independent and dependent sources. - Cesar F. Caiafa (EURASIP J. Adv. Signal Process., 2012)

Using Generic Order Moments for separation of dependent sources with linear conditional expectations. - Cesar F. Caiafa; Ercan E. Kuruoglu (EUSIPCO, 2013)

A Fast Gradient Approximation for Nonlinear Blind Signal Processing. - Jordi Solé-Casals; Cesar F. Caiafa (Cogn. Comput., 2013)

Computing Sparse Representations of Multidimensional Signals Using Kronecker Bases. - Cesar F. Caiafa; Andrzej Cichocki (Neural Comput., 2013)

Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. - Qibin Zhao; Cesar F. Caiafa; Danilo P. Mandic; Zenas C. Chao; Yasuo Nagasaka; Naotaka Fujii; Liqing Zhang 001; Andrzej Cichocki (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Multidimensional compressed sensing and their applications. - Cesar F. Caiafa; Andrzej Cichocki (WIREs Data Mining Knowl. Discov., 2013)

Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements. - Cesar Federico Caiafa; Andrzej Cichocki (ICASSP, 2014)

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. - Andrzej Cichocki; Danilo P. Mandic; Lieven De Lathauwer; Guoxu Zhou; Qibin Zhao; Cesar F. Caiafa; Anh Huy Phan 001 (IEEE Signal Process. Mag., 2015)

Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections. - Cesar F. Caiafa; Andrzej Cichocki (IEEE Trans. Signal Process., 2015)

Ensemble Tractography. - Hiromasa Takemura; Cesar F. Caiafa; Brian A. Wandell; Franco Pestilli (PLoS Comput. Biol., 2016)

MPI-LiFE: Designing High-Performance Linear Fascicle Evaluation of Brain Connectome with MPI. - Shashank Gugnani; Xiaoyi Lu; Franco Pestilli; Cesar F. Caiafa; Dhabaleswar K. Panda 001 (HiPC, 2017)

Unified representation of tractography and diffusion-weighted MRI data using sparse multidimensional arrays. - Cesar F. Caiafa; Olaf Sporns; Andrew J. Saykin; Franco Pestilli (NIPS, 2017)

Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach. - Jordi Solé-Casals; Cesar Federico Caiafa; Qibin Zhao; Andrzej Cichocki (Cogn. Comput., 2018)

Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. - Farzane Aminmansour; Andrew Patterson; Lei Le; Yisu Peng; Daniel Mitchell; Franco Pestilli; Cesar F. Caiafa; Russell Greiner; Martha White (NeurIPS, 2019)

Learning from Incomplete Data by Simultaneous Training of Neural Networks and Sparse Coding. - Cesar F. Caiafa; Ziyao Wang; Jordi Solé-Casals; Qibin Zhao (CoRR, 2020)

Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding. - Cesar F. Caiafa; Ziyao Wang; Jordi Solé-Casals; Qibin Zhao (CVPR Workshops, 2021)

Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. - Salman Ahmadi-Asl; Cesar F. Caiafa; Andrzej Cichocki; Anh Huy Phan 001; Toshihisa Tanaka 001; Ivan V. Oseledets; Jun Wang 002 (IEEE Access, 2021)

WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks. - Zhe Sun; Binghua Li; Feng Duan; Hao Jia; Shan Wang 011; Yu Liu; Andrzej Cichocki; Cesar F. Caiafa; Jordi Solé-Casals (IEEE Access, 2021)

A multimodal emotion recognition method based on facial expressions and electroencephalography. - Ying Tan; Zhe Sun; Feng Duan; Jordi Solé-Casals; Cesar F. Caiafa (Biomed. Signal Process. Control., 2021)

A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition. - Yangyang Dai; Feng Duan; Fan Feng; Zhe Sun; Yu Zhang 009; Cesar F. Caiafa; Pere Martí-Puig; Jordi Solé-Casals (Entropy, 2021)

Serial-EMD: Fast empirical mode decomposition method for multi-dimensional signals based on serialization. - Jin Zhang 003; Fan Feng; Pere Martí-Puig; Cesar F. Caiafa; Zhe Sun; Feng Duan; Jordi Solé-Casals (Inf. Sci., 2021)

Tensor completion algorithms for estimating missing values in multi-channel audio signals. - Wenjian Ding; Zhe Sun; Xingxing Wu; Zhenglu Yang; Jordi Solé-Casals; Cesar F. Caiafa (Comput. Electr. Eng., 2022)

Improving Pre-movement Pattern Detection with Filter Bank Selection. - Hao Jia; Zhe Sun; Feng Duan; Yu Zhang 009; Cesar F. Caiafa; Jordi Solé-Casals (CoRR, 2022)

Towards Multi-class Pre-movement Classification. - Hao Jia; Zhe Sun; Feng Duan; Yu Zhang 009; Cesar F. Caiafa; Jordi Solé-Casals (CoRR, 2022)

Domain classifier-based transfer learning for visual attention prediction. - Zhiwen Zhang 004; Feng Duan; Cesar F. Caiafa; Jordi Solé-Casals; Zhenglu Yang; Zhe Sun (World Wide Web, 2022)

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations. - Chao Li; Junhua Zeng; Chunmei Li; Cesar F. Caiafa; Qibin Zhao (ICML, 2023)

Brain Simulation and Spiking Neural Networks. - Zhe Sun; Vassilis Cutsuridis; Cesar F. Caiafa; Jordi Solé-Casals (Cogn. Comput., 2023)

A sparse coding approach to inverse problems with application to microwave tomography imaging. - Cesar F. Caiafa; Ramiro M. Irastorza (CoRR, 2023)

A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials. - Zhao Zhang; Shuning Han; Huaihai Yi; Feng Duan; Fei Kang; Zhe Sun; Jordi Solé-Casals; Cesar F. Caiafa (Cogn. Comput., 2023)

Underwater sEMG-based recognition of hand gestures using tensor decomposition. - Jianing Xue; Zhe Sun; Feng Duan; Cesar F. Caiafa; Jordi Solé-Casals (Pattern Recognit. Lett., 2023)

Multi-Class Classification of Upper Limb Movements With Filter Bank Task-Related Component Analysis. - Hao Jia; Fan Feng; Cesar F. Caiafa; Feng Duan; Yu Zhang 009; Zhe Sun; Jordi Solé-Casals (IEEE J. Biomed. Health Informatics, 2023)

Special Issue "Machine Learning Methods for Biomedical Data Analysis". - Cesar F. Caiafa; Zhe Sun; Toshihisa Tanaka 001; Pere Martí-Puig; Jordi Solé-Casals (Sensors, 2023)

An Insight Into Neurodegeneration: Harnessing Functional MRI Connectivity in the Diagnosis of Mild Cognitive Impairment. - Shuning Han; Zhe Sun; Kanhao Zhao; Feng Duan; Cesar F. Caiafa; Yu Zhang 009; Jordi Solé-Casals (BIOSTEC (1), 2024)

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. - Mingyuan Bai; Wei Huang; Tenghui Li; Andong Wang; Junbin Gao; Cesar F. Caiafa; Qibin Zhao (ICML, 2024)

Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms. - Shurun Wang; Hao Tang; Ryutaro Himeno; Jordi Solé-Casals; Cesar F. Caiafa; Shuning Han; Shigeki Aoki; Zhe Sun (Comput. Methods Programs Biomed., 2024)

Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications to Image Compression, Super-Resolution and Deep Learning. - Salman Ahmadi-Asl; Naeim Rezaeian; Cesar F. Caiafa; Andre L. F. de Almeida (CoRR, 2024)

Enabling temporal-spectral decoding in multi-class single-side upper limb classification. - Hao Jia; Shuning Han; Cesar F. Caiafa; Feng Duan; Yu Zhang 009; Zhe Sun; Jordi Solé-Casals (Eng. Appl. Artif. Intell., 2024)

Assessing the Potential of Data Augmentation in EEG Functional Connectivity for Early Detection of Alzheimer's Disease. - Hao Jia; Zihao Huang 003; Cesar F. Caiafa; Feng Duan; Yu Zhang 009; Zhe Sun; Jordi Solé-Casals (Cogn. Comput., 2024)

Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection. - Salman Ahmadi-Asl; Anh Huy Phan 001; Cesar F. Caiafa; Andrzej Cichocki (Adv. Comput. Math., 2024)

Analyzing Cognitive Patterns in Gifted Children Using MRI and Morphometric Similarity Networks. - Shuning Han; Feng Duan; Gemma Vilaseca; Núria Vilaró; Cesar F. Caiafa; Zhe Sun; Jordi Solé-Casals (BIOSTEC (1), 2025)

HSBNN: A High-Scalable Bayesian Neural Networks Accelerator Based on Field Programmable Gate Arrays (FPGA). - Yinghao Liu; Hao Zhang; Zhe Sun; Feng Duan; Yuan Ma; Wenyi Lu; Cesar F. Caiafa; Jordi Solé-Casals (Cogn. Comput., 2025)

Short-time variational mode decomposition. - Hao Jia; Pengfei Cao; Tong Liang; Cesar F. Caiafa; Zhe Sun; Yasuhiro Kushihashi; Antoni Grau; Yolanda Bolea; Feng Duan; Jordi Solé-Casals (Signal Process., 2026)