Andrzej Cichocki 研究室

主宰者：Andrzej Cichocki

理化学研究所・RIKEN Center for Brain Science

兼任：理化学研究所・RIKEN Center for Advanced Intelligence Project

AI 要約（直近 5 年の研究成果）

この研究室は、脳信号の解読と機械学習の融合領域において幅広い研究を展開しています。特に脳波（EEG）信号を用いた脳コンピュータインターフェース（BCI）の開発に注力し、運動意図の認識、感情状態の推定、音声想像の解読など、複数の神経活動パターンを自動判別するための深層学習モデルの構築に取り組んでいます。これらの研究では、信号処理と注意機構を組み合わせたニューラルネットワークを設計し、複雑で非定常な脳波データから有用な特徴を抽出することを目指しています。並行して、テンソル分解や行列分解などの数学的手法を用いた次元削減・データ圧縮技術の開発も進めています。大規模なデータを効率的に処理するための低ランク表現法やネットワーク最適化手法を提案し、計算コストを削減しながら精度を維持するアルゴリズムの実現を目指しています。さらに、異なるデータ領域間での知識転移、教師なし学習による適応、複数ユーザー間の脳活動カップリング分析など、現実的な応用に向けた課題解決型の研究も行われています。ノイズ除去やクラスタリング、異常検知など、汎用的な機械学習問題へのアプローチも見られ、理論と応用の両面から包括的な技術基盤の構築を進めているのが特徴です。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（101 件）

[2026] Kernel Space-Based Dual-Weighted Robust Principal Component Analysis
DOI: https://doi.org/10.1007/s00357-026-09552-7
[2026] Breaking the Depth Barrier in Motor Imagery Classification via a Residual Depthwise-Separable Network
DOI: https://doi.org/10.1109/tcyb.2026.3690707
[2026] A New Tensor Network: Tubal Tensor Train and Its Applications
[2026] Group Entropies and Mirror Duality: A Class of Flexible Mirror Descent Updates for Machine Learning
[2026] Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Compression of Deep Neural Networks
[2026] MS-TSEFNet: Multi-Scale Spatiotemporal Efficient Feature Fusion Network
DOI: https://doi.org/10.3390/s26020437
[2026] Enhancing Target Recognition Performance in SSVEP-Based Brain–Computer Interfaces via Deep Neural Networks With Pyramid Squeeze Attention
DOI: https://doi.org/10.1109/tip.2026.3684399
[2026] A Global-Local Data Clustering Framework With Adaptive Feature and Sample Weighting and Balanced Constraint
DOI: https://doi.org/10.1109/tetci.2026.3683109
[2026] A2VAD: Attribute-augmented prompt learning for weakly supervised video anomaly detection
DOI: https://doi.org/10.1016/j.patcog.2026.113987
[2025] A novel paradigm based on radar-like scanning for directional recognition in event-related potentials based brain-computer interfaces
DOI: https://doi.org/10.1016/j.jneumeth.2025.110546

続きを表示（残り 91 件）

[2025] Leveraging low-frequency components for enhanced high-frequency steady-state visual evoked potential based brain computer interface in fast calibration scenario
DOI: https://doi.org/10.1007/s11571-025-10303-4
[2025] Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification
DOI: https://doi.org/10.1109/jbhi.2025.3595826
[2025] Correction to: A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes
DOI: https://doi.org/10.1007/s10915-025-02916-y
[2025] Dual branch neural network with dynamic learning mechanism for P300-based brain-computer interfaces
DOI: https://doi.org/10.1016/j.neunet.2025.107876
[2025] Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
DOI: https://doi.org/10.1109/mis.2025.3588759
[2025] EEG-based speech imagery decoding by dynamic hypergraph learning within projected and selected feature subspaces
DOI: https://doi.org/10.1088/1741-2552/adeec8
[2025] A transformer-based network with second-order pooling for motor imagery EEG classification
DOI: https://doi.org/10.1088/1741-2552/adeae8
[2025] MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection
DOI: https://doi.org/10.1109/ijcnn64981.2025.11229255
[2025] Effective feature-sample co-clustering by adaptive feature-sample co-weighting
DOI: https://doi.org/10.1016/j.ins.2025.122427
[2025] Enhancing robustness of spatial filters in motor imagery based brain-computer interface via temporal learning
DOI: https://doi.org/10.1016/j.jneumeth.2025.110441
[2025] An Interpretable Regression Method for Upper Limb Motion Trajectories Detection With EEG Signals
DOI: https://doi.org/10.1109/tbme.2025.3557255
[2025] Leveraging Peripheral Visual Stimuli for Enhanced SSVEP-Based BCIs in Fast Calibration Scenario
DOI: https://doi.org/10.1109/jsen.2025.3554985
[2025] The Spatio-Temporal Equalization Sliding-Window Distribution Distance Maximization Based on Unsupervised Learning for Online Event-Related Potential-Based Brain–Computer Interfaces
DOI: https://doi.org/10.3390/machines13040282
[2025] Tensor-Train networks for learning predictive modeling of multidimensional data
DOI: https://doi.org/10.1016/j.neucom.2025.130037
[2025] Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis
DOI: https://doi.org/10.1145/3722558
[2025] So Far Yet So Near: Time Series Data Augmentation with Exploring non-Semantic Boundaries based on Reinforcement Learning
DOI: https://doi.org/10.1109/icassp49660.2025.10889129
[2025] Essentia: Boosting Artifact Removal from EEG through Semantic Guidance Utilizing Diffusion Model
DOI: https://doi.org/10.1109/icassp49660.2025.10887905
[2025] Nonnegative Tensor Decomposition via Collaborative Neurodynamic Optimization
DOI: https://doi.org/10.1137/23m1627304
[2025] Multi-Scale Pyramid Squeeze Attention Similarity Optimization Classification Neural Network for ERP Detection
DOI: https://doi.org/10.1016/j.neunet.2025.107124
[2025] CoAdapt: Collaborative Adaptation Between Latent EEG Feature Representation and Annotation for Emotion Decoding
DOI: https://doi.org/10.1109/tim.2025.3590828
[2025] VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization
DOI: https://doi.org/10.1109/tmm.2025.3590900
[2025] Comparison of Staging and Treatment of Rectal Cancer between Patients Younger and Older than 70 years - An International Multicenter Study
DOI: https://doi.org/10.21614/chirurgia.3108
[2025] Adaptive Feature-Weighted Local-Global Clustering
DOI: https://doi.org/10.1109/lsp.2025.3582536
[2025] Dual-Brain EEG Decoding for Target Detection via Joint Learning in Shared and Private Spaces
DOI: https://doi.org/10.1109/lsp.2025.3601978
[2025] Mirror Descent and Exponentiated Gradient Algorithms Using Trace-Form Entropies
DOI: https://doi.org/10.3390/e27121243
[2025] Multi-Domain Dynamic Weighting Network for Motor Imagery Decoding
DOI: https://doi.org/10.1142/s012906572650005x
[2025] CSCLN-DDTE: Cross subject contrastive learning network with domain diversity and templates enhancement for SSVEP-BCI frequency recognition
DOI: https://doi.org/10.1016/j.knosys.2025.114929
[2025] P <sup>2</sup> CSL: cross-subject EEG classification by subspace class prototype-based progressive confident target sample labeling
DOI: https://doi.org/10.1088/1741-2552/ae204c
[2025] A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data
DOI: https://doi.org/10.1109/tnnls.2025.3617508
[2025] Adaptive knowledge selection in dialogue systems: Accommodating diverse knowledge types, requirements, and generation models
DOI: https://doi.org/10.1016/j.neunet.2025.108133
[2025] MSAttNet: Multi-scale attention convolutional neural network for motor imagery classification
DOI: https://doi.org/10.1016/j.jneumeth.2025.110578
[2025] Reinforcement Learning Decoding Method of Multi-User EEG Shared Information Based on Mutual Information Mechanism
DOI: https://doi.org/10.1109/jbhi.2025.3565019
[2024] Leveraging Spatiotemporal Estimation for Online Adaptive Steady-State Visual Evoked Potential Recognition
DOI: https://doi.org/10.1109/tcds.2024.3392745
[2024] A Survey of Neurodynamic Optimization
DOI: https://doi.org/10.1109/tetci.2024.3369667
[2024] Resisting Noise in Pseudo Labels: Audible Video Event Parsing With Evidential Learning
DOI: https://doi.org/10.1109/tnnls.2024.3505674
[2024] Quantization Aware Factorization for Deep Neural Network Compression
DOI: https://doi.org/10.1613/jair.1.16167
[2024] DBANet: a dual-branch convolutional neural network with attention enhancement for motor imagery classification
DOI: https://doi.org/10.1080/27706710.2024.2438050
[2024] SecNet: A second order neural network for MI-EEG
DOI: https://doi.org/10.1016/j.ipm.2024.104012
[2024] Decoding continuous motion trajectories of upper limb from EEG signals based on feature selection and nonlinear methods
DOI: https://doi.org/10.1088/1741-2552/ad9cc1
[2024] Granger Connectivity Analysis as a Block-Term Tensor Regression for eSport Players
DOI: https://doi.org/10.1109/icassp48485.2024.10447124
[2024] A Growing Bubble Speller Paradigm for Brain–Computer Interface Based on Event-Related Potentials
DOI: https://doi.org/10.1109/tbme.2024.3492506
[2024] Squeeze and Excitation-Based Multiscale CNN for Classification of Steady-State Visual Evoked Potentials
DOI: https://doi.org/10.1109/jiot.2024.3488745
[2024] Cross-Stimulus Transfer Learning Framework Using Common Period Repetition Components for Fast Calibration of SSVEP-Based BCIs
DOI: https://doi.org/10.1109/jiot.2024.3488957
[2024] An EEG-based Decoding Method for Motor Imagery Intentions in Mixed-Subject Settings with Adversarial Disentanglement
DOI: https://doi.org/10.1109/cw64301.2024.00040
[2024] AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies
DOI: https://doi.org/10.1016/j.eswa.2024.125597
[2024] 1151P Biochemical and radiological efficacy of systmic lanreotide therapy of patients with advanced, unresectable, non-metastatic paraganglioma/pheochromocytoma (PPGL) sporadic and hereditary
DOI: https://doi.org/10.1016/j.annonc.2024.08.1210
[2024] Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces
DOI: https://doi.org/10.1109/jbhi.2024.3472097
[2024] Inter-participant transfer learning with attention based domain adversarial training for P300 detection
DOI: https://doi.org/10.1016/j.neunet.2024.106655
[2024] Polish diagnostic and therapeutic recommendations for adrenocortical carcinoma
DOI: https://doi.org/10.5603/ep.101677
[2024] Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition
DOI: https://doi.org/10.1109/tbme.2024.3406603
[2024] A cross-dataset adaptive domain selection transfer learning framework for motor imagery-based brain-computer interfaces
DOI: https://doi.org/10.1088/1741-2552/ad593b
[2024] An auto-segmented multi-time window dual-scale neural network for brain-computer interfaces based on event-related potentials
DOI: https://doi.org/10.1088/1741-2552/ad558a
[2024] A novel dual-step transfer framework based on domain selection and feature alignment for motor imagery decoding
DOI: https://doi.org/10.1007/s11571-023-10053-1
[2024] MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces
DOI: https://doi.org/10.1109/tcyb.2024.3390805
[2024] Adaptive cross tubal tensor approximation
DOI: https://doi.org/10.1016/j.laa.2024.04.015
[2024] Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection
DOI: https://doi.org/10.1007/s10444-024-10117-8
[2024] Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval
DOI: https://doi.org/10.1145/3639469
[2024] A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks
DOI: https://doi.org/10.1109/tim.2024.3476551
[2024] A Time-Local Weighted Transformation Recognition Framework for Steady State Visual Evoked Potentials Based Brain–Computer Interfaces
DOI: https://doi.org/10.1109/tnsre.2024.3386763
[2024] 1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization
DOI: https://doi.org/10.1109/tsp.2024.3427136
[2024] Corrections to “Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)”
DOI: https://doi.org/10.1109/access.2024.3396970
[2024] Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection
DOI: https://doi.org/10.1109/access.2024.3520389
[2023] A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes
DOI: https://doi.org/10.1007/s10915-023-02411-2
[2023] Variance characteristic preserving common spatial pattern for motor imagery BCI
DOI: https://doi.org/10.3389/fnhum.2023.1243750
[2023] Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems
DOI: https://doi.org/10.1016/j.jneumeth.2023.109969
[2023] Biomarkers of professional cybersportsmen: Event related potentials and cognitive tests study
DOI: https://doi.org/10.1371/journal.pone.0289293
[2023] Fast Adaptive Cross Tubal Tensor Approximation
DOI: https://doi.org/10.1109/ssp53291.2023.10208018
[2023] Image reconstruction using superpixel clustering and tensor completion
DOI: https://doi.org/10.1016/j.sigpro.2023.109158
[2023] Fast cross tensor approximation for image and video completion
DOI: https://doi.org/10.1016/j.sigpro.2023.109121
[2023] A rare co-occurence of Turner syndrome and acromegaly complicated by the presence of a solid pseudopapillary neoplasm of pancreas-a case report
DOI: https://doi.org/10.1530/endoabs.90.p467
[2023] Risk of malignancy in adrenal tumors in patients with a history of cancer
DOI: https://doi.org/10.3389/fonc.2023.1018475
[2023] Exploration of electroencephalogram response to MPH treatment in ADHD patients
DOI: https://doi.org/10.1016/j.pscychresns.2023.111631
[2023] Analysis of Patients with NET G1/G2 Neuroendocrine Tumors of the Small Intestine in the Course of Carcinoid Heart Disease—A Retrospective Study
DOI: https://doi.org/10.3390/jcm12030790
[2023] Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module
DOI: https://doi.org/10.1109/tnsre.2023.3294815
[2023] Latent Space Coding Capsule Network for Mental Workload Classification
DOI: https://doi.org/10.1109/tnsre.2023.3307481
[2023] Chief Editor’s foreword to the inaugural issue of Artificial Intelligence in Health
DOI: https://doi.org/10.36922/aih.2463
[2022] Motor Imagery EEG Classification Based on Riemannian Sparse Optimization and Dempster-Shafer Fusion of Multi-Time-Frequency Patterns
DOI: https://doi.org/10.1109/tnsre.2022.3217573
[2022] PARS: Proxy-Based Automatic Rank Selection for Neural Network Compression via Low-Rank Weight Approximation
DOI: https://doi.org/10.3390/math10203801
[2022] Neurodynamics-based Iteratively Reweighted Convex Optimization for Sparse Signal Reconstruction
DOI: https://doi.org/10.1109/icist55546.2022.9926780
[2022] Novel channel selection model based on graph convolutional network for motor imagery
DOI: https://doi.org/10.1007/s11571-022-09892-1
[2022] Riemannian distance based channel selection and feature extraction combining discriminative time-frequency bands and Riemannian tangent space for MI-BCIs
DOI: https://doi.org/10.1088/1741-2552/ac9338
[2022] Sparse signal reconstruction via collaborative neurodynamic optimization
DOI: https://doi.org/10.1016/j.neunet.2022.07.018
[2022] Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals
DOI: https://doi.org/10.1109/taffc.2022.3189222
[2022] A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller
DOI: https://doi.org/10.3389/fnhum.2022.875851
[2022] Data augmentation for Convolutional LSTM based brain computer interface system
DOI: https://doi.org/10.1016/j.asoc.2022.108811
[2022] Bispectrum-based hybrid neural network for motor imagery classification
DOI: https://doi.org/10.1016/j.jneumeth.2022.109593
[2022] SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding
DOI: https://doi.org/10.1109/tnsre.2022.3156076
[2022] OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition
DOI: https://doi.org/10.1109/tnsre.2022.3175464
[2022] S<sup>3</sup>LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition
DOI: https://doi.org/10.1109/tim.2022.3165741
[2022] TTOpt: A Maximum Volume Quantized Tensor Train-Based Optimization and Its Application to Reinforcement Learning
DOI: https://doi.org/10.52202/068431-1889
[2022] Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition
DOI: https://doi.org/10.1109/tii.2022.3217120

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AI 要約（直近 5 年の研究成果）

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研究成果（101 件）

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