Andrzej Cichocki

Professor

Systems Research Institute

Poland

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Professor Andrzej Cichocki is a faculty member at the Systems Research Institute in Poland. His research areas include brain-computer interfaces, EEG signal processing, and multimodal analysis, as evidenced by his recent publications on topics such as neural networks for P300-based interfaces, motion trajectory detection using EEG signals, and advancements in affective brain-computer interfaces. He is committed to advancing knowledge in neural decoding and predictive modeling within complex data structures.

Andrzej Cichocki

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Articles (26)

Dual branch neural network with dynamic learning mechanism for P300-based brain-computer interfaces

Leveraging low-frequency components for enhanced high-frequency steady-state visual evoked potential based brain computer interface in fast calibration scenario

An Interpretable Regression Method for Upper Limb Motion Trajectories Detection With EEG Signals

Reinforcement Learning Decoding Method of Multi-User EEG Shared Information Based on Mutual Information Mechanism

A transformer-based network with second-order pooling for motor imagery EEG classification

EEG-based speech imagery decoding by dynamic hypergraph learning within projected and selected feature subspaces

Tensor-Train networks for learning predictive modeling of multidimensional data

Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis

EEG-based affective brain–computer interfaces: recent advancements and future challenges

Resisting Noise in Pseudo Labels: Audible Video Event Parsing With Evidential Learning

MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces

Inter-participant transfer learning with attention based domain adversarial training for P300 detection

Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval

1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization

A Survey of Neurodynamic Optimization

Corrections to “Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)”

Latent Space Coding Capsule Network for Mental Workload Classification

Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module

Image reconstruction using superpixel clustering and tensor completion

Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization

Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection

Data augmentation for Convolutional LSTM based brain computer interface system

PARS: Proxy-Based Automatic Rank Selection for Neural Network Compression via Low-Rank Weight Approximation

Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis

GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition

Deep Learning in EEG: Advance of the Last Ten-Year Critical Period

Collaborators (5)

Anastasios Bezerianos

sun zhe

Ian Daly

Ruggero Micheletto

Toshihisa Tanaka

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