| Year |
Citation |
Score |
| 2021 |
Sun Z, Li B, Duan F, Jia H, Wang S, Liu Y, Cichocki A, Caiafa CF, Sole-Casals J. WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks Ieee Access. 9: 3165-3173. DOI: 10.1109/ACCESS.2020.3044732 |
0.37 |
|
| 2020 |
Jin J, Liu C, Daly I, Miao Y, Li S, Wang X, Cichocki A. Bispectrum-based Channel Selection for Motor Imagery based Brain-Computer Interfacing. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 32870796 DOI: 10.1109/Tnsre.2020.3020975 |
0.359 |
|
| 2020 |
Jin J, Xiao R, Daly I, Miao Y, Wang X, Cichocki A. Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory. Ieee Transactions On Neural Networks and Learning Systems. PMID 32833646 DOI: 10.1109/Tnnls.2020.3015505 |
0.35 |
|
| 2020 |
Duan F, Huang Z, Sun Z, Zhang Y, Zhao Q, Cichocki A, Yang Z, Sole-Casals J. Topological Network Analysis of Early Alzheimer's Disease Based on Resting-State EEG. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 32763856 DOI: 10.1109/Tnsre.2020.3014951 |
0.457 |
|
| 2020 |
Akter MS, Islam MR, Iimura Y, Sugano H, Fukumori K, Wang D, Tanaka T, Cichocki A. Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG. Scientific Reports. 10: 7044. PMID 32341371 DOI: 10.1038/S41598-020-62967-Z |
0.341 |
|
| 2020 |
Zuo C, Jin J, Yin E, Saab R, Miao Y, Wang X, Hu D, Cichocki A. Novel hybrid brain-computer interface system based on motor imagery and P300. Cognitive Neurodynamics. 14: 253-265. PMID 32226566 DOI: 10.1007/S11571-019-09560-X |
0.303 |
|
| 2020 |
Phan AH, Cichocki A, Uschmajew A, Tichavsky P, Luta G, Mandic DP. Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. Ieee Transactions On Neural Networks and Learning Systems. PMID 32031950 DOI: 10.1109/Tnnls.2019.2956926 |
0.402 |
|
| 2020 |
Appriou A, Cichocki A, Lotte F. Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals Ieee Systems, Man, and Cybernetics Magazine. 6: 29-38. DOI: 10.1109/Msmc.2020.2968638 |
0.354 |
|
| 2020 |
Sedighin F, Cichocki A, Yokota T, Shi Q. Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction Ieee Signal Processing Letters. 27: 810-814. DOI: 10.1109/Lsp.2020.2990313 |
0.352 |
|
| 2020 |
Liu Q, Jiao Y, Miao Y, Zuo C, Wang X, Cichocki A, Jin J. Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA Neurocomputing. 378: 36-44. DOI: 10.1016/J.Neucom.2019.10.049 |
0.384 |
|
| 2020 |
Phan AH, Yamagishi M, Mandic DP, Cichocki A. Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition Neural Computing and Applications. 32: 7097-7120. DOI: 10.1007/S00521-019-04191-Z |
0.338 |
|
| 2019 |
Jin J, Li S, Daly I, Miao Y, Liu C, Wang X, Cichocki A. The Study of Generic Model Set for Reducing Calibration Time in P300-based Brain-Computer Interface. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 31794401 DOI: 10.1109/Tnsre.2019.2956488 |
0.308 |
|
| 2019 |
Babiloni C, Barry RJ, Başar E, Blinowska KJ, Cichocki A, Drinkenburg WHIM, Klimesch W, Knight RT, Lopes da Silva F, Nunez P, Oostenveld R, Jeong J, Pascual-Marqui R, Valdes-Sosa P, Hallett M. International Federation of Clinical Neurophysiology (IFCN) - EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1: Applications in clinical research studies. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. PMID 31501011 DOI: 10.1016/J.Clinph.2019.06.234 |
0.323 |
|
| 2019 |
Phan AH, Cichocki A, Oseledets I, Calvi GG, Ahmadi-Asl S, Mandic DP. Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. Ieee Transactions On Neural Networks and Learning Systems. PMID 31449033 DOI: 10.1109/Tnnls.2019.2929063 |
0.334 |
|
| 2019 |
Jin J, Miao Y, Daly I, Zuo C, Hu D, Cichocki A. Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks : the Official Journal of the International Neural Network Society. 118: 262-270. PMID 31326660 DOI: 10.1016/J.Neunet.2019.07.008 |
0.348 |
|
| 2019 |
Feng JK, Jin J, Daly I, Zhou J, Niu Y, Wang X, Cichocki A. An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Computational Intelligence and Neuroscience. 2019: 8068357. PMID 31214255 DOI: 10.1155/2019/8068357 |
0.331 |
|
| 2019 |
Zhu L, Cui G, Cao J, Cichocki A, Zhang J, Zhou C. A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features. Sensors (Basel, Switzerland). 19. PMID 30889817 DOI: 10.3390/S19061342 |
0.32 |
|
| 2019 |
Wu Q, Zhang Y, Liu J, Sun J, Cichocki A, Gao F. Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. International Journal of Neural Systems. 1950002. PMID 30880525 DOI: 10.1142/S0129065719500023 |
0.381 |
|
| 2019 |
Kong W, Kong X, Fan Q, Zhao Q, Cichocki A. Task-free brainprint recognition based on low-rank and sparse decomposition model International Journal of Data Mining and Bioinformatics. 22: 280-300. DOI: 10.1504/Ijdmb.2019.10022334 |
0.348 |
|
| 2019 |
Ponomarev E, Oseledets IV, Cichocki A. Using Reinforcement Learning in the Algorithmic Trading Problem Journal of Communications Technology and Electronics. 64: 1450-1457. DOI: 10.1134/S1064226919120131 |
0.355 |
|
| 2019 |
Phan A, Tichavsky P, Cichocki A. Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound Ieee Transactions On Signal Processing. 67: 1175-1190. DOI: 10.1109/Tsp.2018.2887192 |
0.368 |
|
| 2019 |
Tichavsky P, Phan A, Cichocki A. Sensitivity in Tensor Decomposition Ieee Signal Processing Letters. 26: 1653-1657. DOI: 10.1109/Lsp.2019.2943060 |
0.368 |
|
| 2019 |
Zhang Z, Duan F, Sole-Casals J, Dinares-Ferran J, Cichocki A, Yang Z, Sun Z. A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals Ieee Access. 7: 15945-15954. DOI: 10.1109/Access.2019.2895133 |
0.506 |
|
| 2018 |
Martín-Clemente R, Olias J, Thiyam DB, Cichocki A, Cruces S. Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison. Entropy (Basel, Switzerland). 20. PMID 33265109 DOI: 10.3390/E20010007 |
0.31 |
|
| 2018 |
Zhang Y, Nam CS, Zhou G, Jin J, Wang X, Cichocki A. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. Ieee Transactions On Cybernetics. PMID 29994667 DOI: 10.1109/Tcyb.2018.2841847 |
0.382 |
|
| 2018 |
Jiao Y, Zhang Y, Chen X, Yin E, Jin J, Wang XY, Cichocki A. Sparse Group Representation Model for Motor Imagery EEG Classification. Ieee Journal of Biomedical and Health Informatics. PMID 29994055 DOI: 10.1109/Jbhi.2018.2832538 |
0.345 |
|
| 2018 |
Feng J, Yin E, Jin J, Saab R, Daly I, Wang X, Hu D, Cichocki A. Towards correlation-based time window selection method for motor imagery BCIs. Neural Networks : the Official Journal of the International Neural Network Society. 102: 87-95. PMID 29558654 DOI: 10.1016/J.Neunet.2018.02.011 |
0.399 |
|
| 2018 |
Lotte F, Bougrain L, Cichocki A, Clerc M, Congedo M, Rakotomamonjy A, Yger F. A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update. Journal of Neural Engineering. PMID 29488902 DOI: 10.1088/1741-2552/Aab2F2 |
0.397 |
|
| 2018 |
Cheng J, Jin J, Daly I, Zhang Y, Wang B, Wang X, Cichocki A. Effect of a combination of flip and zooming stimuli on the performance of a visual brain-computer interface for spelling. Biomedizinische Technik. Biomedical Engineering. PMID 29432199 DOI: 10.1515/Bmt-2017-0082 |
0.314 |
|
| 2018 |
Cao W, Wang K, Han G, Yao J, Cichocki A. A Robust PCA Approach With Noise Structure Learning and Spatial–Spectral Low-Rank Modeling for Hyperspectral Image Restoration Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11: 3863-3879. DOI: 10.1109/Jstars.2018.2866815 |
0.307 |
|
| 2018 |
Yu J, Zhou G, Cichocki A, Xie S. Learning the Hierarchical Parts of Objects by Deep Non-Smooth Nonnegative Matrix Factorization Ieee Access. 6: 58096-58105. DOI: 10.1109/Access.2018.2873385 |
0.339 |
|
| 2018 |
Xu X, Wu Q, Wang S, Liu J, Sun J, Cichocki A. Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network Ieee Access. 6: 29297-29305. DOI: 10.1109/Access.2018.2815770 |
0.369 |
|
| 2018 |
Batselier K, Ko C, Phan A, Cichocki A, Wong N. Multilinear state space system identification with matrix product operators Ifac-Papersonline. 51: 640-645. DOI: 10.1016/J.Ifacol.2018.09.219 |
0.302 |
|
| 2018 |
Zhang Y, Wang Y, Zhou G, Jin J, Wang B, Wang X, Cichocki A. Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces Expert Systems With Applications. 96: 302-310. DOI: 10.1016/J.Eswa.2017.12.015 |
0.382 |
|
| 2018 |
Lin J, Chen W, Shen C, Chiu M, Kao Y, Lai F, Zhao Q, Cichocki A. Visualization and Sonification of Long-Term Epilepsy Electroencephalogram Monitoring Journal of Medical and Biological Engineering. 38: 943-952. DOI: 10.1007/S40846-017-0358-6 |
0.312 |
|
| 2018 |
Lee N, Cichocki A. Fundamental tensor operations for large-scale data analysis using tensor network formats Multidimensional Systems and Signal Processing. 29: 921-960. DOI: 10.1007/S11045-017-0481-0 |
0.31 |
|
| 2017 |
Deshpande G, Rangaprakash D, Oeding L, Cichocki A, Hu XP. A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition. Frontiers in Neuroscience. 11: 246. PMID 28638316 DOI: 10.3389/Fnins.2017.00246 |
0.343 |
|
| 2017 |
Itai A, Funase A, Cichocki A, Yasukawa H. Reference Signal Based Tensor Product Expansion for EOG-Related Artifact Separation in EEG Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 2230-2237. DOI: 10.1587/Transfun.E100.A.2230 |
0.301 |
|
| 2017 |
Yokota T, Lee N, Cichocki A. Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria Ieee Transactions On Signal Processing. 65: 1196-1206. DOI: 10.1109/Tsp.2016.2620965 |
0.353 |
|
| 2017 |
Tichavský P, Phan AH, Cichocki A. Non-orthogonal tensor diagonalization Signal Processing. 138: 313-320. DOI: 10.1016/J.Sigpro.2017.04.001 |
0.355 |
|
| 2017 |
Che M, Cichocki A, Wei Y. Neural networks for computing best rank-one approximations of tensors and its applications Neurocomputing. 267: 114-133. DOI: 10.1016/J.Neucom.2017.04.058 |
0.314 |
|
| 2017 |
Zhang Y, Zhou G, Jin J, Zhang Y, Wang X, Cichocki A. Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition Neurocomputing. 225: 103-110. DOI: 10.1016/J.Neucom.2016.11.008 |
0.337 |
|
| 2017 |
Tichavsk P, Phan A, Cichocki A. Numerical CP decomposition of some difficult tensors Journal of Computational and Applied Mathematics. 317: 362-370. DOI: 10.1016/J.Cam.2016.12.007 |
0.338 |
|
| 2016 |
Cao W, Wang Y, Sun J, Deyu M, Yang C, Cichocki A, Xu Z. Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 27305675 DOI: 10.1109/Tip.2016.2579262 |
0.313 |
|
| 2016 |
Xie K, He Z, Cichocki A, Fang X. Rate of Convergence of the FOCUSS Algorithm. Ieee Transactions On Neural Networks and Learning Systems. PMID 26955054 DOI: 10.1109/Tnnls.2016.2532358 |
0.305 |
|
| 2016 |
Wang H, Zhang Y, Waytowich N, Krusienski D, Zhou G, Jin J, Wang X, Cichocki A. Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-based BCI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. PMID 26812728 DOI: 10.1109/Tnsre.2016.2519350 |
0.384 |
|
| 2016 |
Mouri M, Takumi I, Yasukawa H, Cichocki A. Usefulness of Quasi-L1 Norm-Based Nonnegative Matrix Factorization Algorithm to Estimate Background Signal using Environmental Electromagnetic Field Measurements at ELF Band The Transactions of the Institute of Electrical Engineers of Japan.A. 136: 241-251. DOI: 10.1541/Ieejfms.136.241 |
0.318 |
|
| 2016 |
Lee N, Cichocki A. Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions Siam Journal On Matrix Analysis and Applications. 37: 598-623. DOI: 10.1137/15M1028479 |
0.343 |
|
| 2016 |
Yokota T, Zhao Q, Cichocki A. Smooth PARAFAC Decomposition for Tensor Completion Ieee Transactions On Signal Processing. 64: 5423-5436. DOI: 10.1109/Tsp.2016.2586759 |
0.378 |
|
| 2016 |
Li J, Wang Y, Zhang L, Cichocki A, Jung T. Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks Ieee Transactions On Cognitive and Developmental Systems. 8: 298-308. DOI: 10.1109/Tcds.2016.2555952 |
0.347 |
|
| 2016 |
Tichavsky P, Phan A, Cichocki A. Partitioned Alternating Least Squares Technique for Canonical Polyadic Tensor Decomposition Ieee Signal Processing Letters. 23: 993-997. DOI: 10.1109/Lsp.2016.2577383 |
0.344 |
|
| 2016 |
Zhang Y, Zhou G, Zhao Q, Cichocki A, Wang X. Fast nonnegative tensor factorization based on accelerated proximal gradient and low-rank approximation Neurocomputing. 198: 148-154. DOI: 10.1016/J.Neucom.2015.08.122 |
0.371 |
|
| 2015 |
Zhou G, Cichocki A, Zhang Y, Mandic DP. Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. Ieee Transactions On Neural Networks and Learning Systems. PMID 26529787 DOI: 10.1109/Tnnls.2015.2487364 |
0.346 |
|
| 2015 |
Li J, Li C, Cichocki A. Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface. Ieee Journal of Biomedical and Health Informatics. PMID 26485727 DOI: 10.1109/Jbhi.2015.2491645 |
0.37 |
|
| 2015 |
Zhang Y, Zhou G, Jin J, Zhao Q, Wang X, Cichocki A. Sparse Bayesian Classification of EEG for Brain-Computer Interface. Ieee Transactions On Neural Networks and Learning Systems. PMID 26415189 DOI: 10.1109/Tnnls.2015.2476656 |
0.402 |
|
| 2015 |
Zhou G, Cichocki A, Zhao Q, Xie S. Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 24: 4990-5003. PMID 26390455 DOI: 10.1109/Tip.2015.2478396 |
0.38 |
|
| 2015 |
Zhao Q, Zhang L, Cichocki A. Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1751-63. PMID 26353124 DOI: 10.1109/Tpami.2015.2392756 |
0.361 |
|
| 2015 |
Zhao Q, Zhou G, Zhang L, Cichocki A, Amari SI. Bayesian Robust Tensor Factorization for Incomplete Multiway Data. Ieee Transactions On Neural Networks and Learning Systems. PMID 26068876 DOI: 10.1109/Tnnls.2015.2423694 |
0.357 |
|
| 2015 |
Jin J, Sellers EW, Zhou S, Zhang Y, Wang X, Cichocki A. A P300 brain-computer interface based on a modification of the mismatch negativity paradigm. International Journal of Neural Systems. 25: 1550011. PMID 25804352 DOI: 10.1142/S0129065715500112 |
0.345 |
|
| 2015 |
Xie K, He Z, Cichocki A. Convergence analysis of the FOCUSS algorithm. Ieee Transactions On Neural Networks and Learning Systems. 26: 601-13. PMID 25720013 DOI: 10.1109/Tnnls.2014.2323985 |
0.353 |
|
| 2015 |
Zhang Y, Zhou G, Jin J, Wang X, Cichocki A. SSVEP recognition using common feature analysis in brain-computer interface. Journal of Neuroscience Methods. 244: 8-15. PMID 24727656 DOI: 10.1016/J.Jneumeth.2014.03.012 |
0.347 |
|
| 2015 |
Lee N, Cichocki A. Estimating a Few Extreme Singular Values and Vectors for Large-Scale Matrices in Tensor Train Format Siam Journal On Matrix Analysis and Applications. 36: 994-1014. DOI: 10.1137/140983410 |
0.333 |
|
| 2015 |
Phan A, Tichavsky P, Cichocki A. Tensor Deflation for CANDECOMP/PARAFAC— Part II: Initialization and Error Analysis Ieee Transactions On Signal Processing. 63: 5939-5950. DOI: 10.1109/Tsp.2015.2458789 |
0.322 |
|
| 2015 |
Caiafa CF, Cichocki A. Stable, Robust, and Super Fast Reconstruction of Tensors Using Multi-Way Projections Ieee Transactions On Signal Processing. 63: 780-793. DOI: 10.1109/Tsp.2014.2385040 |
0.343 |
|
| 2015 |
Sarmiento A, Duran-Diaz I, Cichocki A, Cruces S. A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures Ieee Transactions On Audio, Speech and Language Processing. 23: 1713-1726. DOI: 10.1109/Taslp.2015.2447281 |
0.343 |
|
| 2015 |
Cichocki A, Mandic D, Lathauwer LD, Zhou G, Zhao Q, Caiafa C, Phan HA. Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis Ieee Signal Processing Magazine. 32: 145-163. DOI: 10.1109/Msp.2013.2297439 |
0.336 |
|
| 2015 |
Li B, Zhou G, Cichocki A. Two Efficient Algorithms for Approximately Orthogonal Nonnegative Matrix Factorization Ieee Signal Processing Letters. 22: 843-846. DOI: 10.1109/Lsp.2014.2371895 |
0.373 |
|
| 2015 |
Yokota T, Zdunek R, Cichocki A, Yamashita Y. Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis Signal Processing. 113: 234-249. DOI: 10.1016/J.Sigpro.2015.02.003 |
0.407 |
|
| 2015 |
Li J, Struzik Z, Zhang L, Cichocki A. Feature learning from incomplete EEG with denoising autoencoder Neurocomputing. 165: 23-31. DOI: 10.1016/J.Neucom.2014.08.092 |
0.368 |
|
| 2014 |
Cong F, Zhou G, Astikainen P, Zhao Q, Wu Q, Nandi AK, Hietanen JK, Ristaniemi T, Cichocki A. Low-rank approximation based non-negative multi-way array decomposition on event-related potentials. International Journal of Neural Systems. 24: 1440005. PMID 25164246 DOI: 10.1142/S012906571440005X |
0.343 |
|
| 2014 |
Zhang Y, Zhou G, Jin J, Wang X, Cichocki A. Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis. International Journal of Neural Systems. 24: 1450013. PMID 24694168 DOI: 10.1142/S0129065714500130 |
0.382 |
|
| 2014 |
Tomita Y, Vialatte FB, Dreyfus G, Mitsukura Y, Bakardjian H, Cichocki A. Bimodal BCI using simultaneously NIRS and EEG. Ieee Transactions On Bio-Medical Engineering. 61: 1274-84. PMID 24658251 DOI: 10.1109/Tbme.2014.2300492 |
0.355 |
|
| 2014 |
Zhang Y, Zhou G, Jin J, Zhao Q, Wang X, Cichocki A. Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface. International Journal of Neural Systems. 24: 1450003. PMID 24344691 DOI: 10.1142/S0129065714500038 |
0.373 |
|
| 2014 |
Valenzi S, Islam T, Jurica P, Cichocki A. Individual Classification of Emotions Using EEG Journal of Biomedical Science and Engineering. 2014: 604-620. DOI: 10.4236/Jbise.2014.78061 |
0.337 |
|
| 2014 |
Zhou G, Cichocki A, Zhao Q, Xie S. Nonnegative Matrix and Tensor Factorizations : An algorithmic perspective Ieee Signal Processing Magazine. 31: 54-65. DOI: 10.1109/Msp.2014.2298891 |
0.331 |
|
| 2014 |
Wu Q, Zhang L, Cichocki A. Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition Neurocomputing. 129: 17-24. DOI: 10.1016/J.Neucom.2013.04.049 |
0.375 |
|
| 2014 |
Cichocki A. Unsupervised Learning Algorithms and Latent Variable Models: PCA/SVD, CCA/PLS, ICA, NMF, etc. Academic Press Library in Signal Processing. 1: 1151-1238. DOI: 10.1016/B978-0-12-396502-8.00021-8 |
0.354 |
|
| 2014 |
Zhao Q, Zhang L, Cichocki A. Multilinear and nonlinear generalizations of partial least squares: an overview of recent advances Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. 4: 104-115. DOI: 10.1002/Widm.1120 |
0.339 |
|
| 2013 |
Zhou G, Cichocki A, Xie S. Accelerated canonical polyadic decomposition using mode reduction. Ieee Transactions On Neural Networks and Learning Systems. 24: 2051-62. PMID 24805222 DOI: 10.1109/Tnnls.2013.2271507 |
0.31 |
|
| 2013 |
Dauwels J, Srinivasan K, Reddy MR, Cichocki A. Near-lossless multichannel EEG compression based on matrix and tensor decompositions. Ieee Journal of Biomedical and Health Informatics. 17: 708-14. PMID 24592471 DOI: 10.1109/Titb.2012.2230012 |
0.382 |
|
| 2013 |
Zhang Y, Zhou G, Jin J, Wang M, Wang X, Cichocki A. L1-regularized Multiway canonical correlation analysis for SSVEP-based BCI. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 21: 887-96. PMID 24122565 DOI: 10.1109/Tnsre.2013.2279680 |
0.326 |
|
| 2013 |
Zhao Q, Caiafa CF, Mandic DP, Chao ZC, Nagasaka Y, Fujii N, Zhang L, Cichocki A. Higher order partial least squares (HOPLS): a generalized multilinear regression method. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1660-73. PMID 23681994 DOI: 10.1109/Tpami.2012.254 |
0.313 |
|
| 2013 |
Cong F, Phan AH, Astikainen P, Zhao Q, Wu Q, Hietanen JK, Ristaniemi T, Cichocki A. Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG. International Journal of Neural Systems. 23: 1350006. PMID 23578056 DOI: 10.1142/S0129065713500068 |
0.323 |
|
| 2013 |
Zhang Y, Zhou G, Zhao Q, Jin J, Wang X, Cichocki A. Spatial-temporal discriminant analysis for ERP-based brain-computer interface. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 21: 233-43. PMID 23476005 DOI: 10.1109/Tnsre.2013.2243471 |
0.361 |
|
| 2013 |
Cong F, He Z, Hämäläinen J, Leppänen PH, Lyytinen H, Cichocki A, Ristaniemi T. Validating rationale of group-level component analysis based on estimating number of sources in EEG through model order selection. Journal of Neuroscience Methods. 212: 165-72. PMID 23063904 DOI: 10.1016/J.Jneumeth.2012.09.029 |
0.307 |
|
| 2013 |
Caiafa CF, Cichocki A. Computing sparse representations of multidimensional signals using Kronecker bases. Neural Computation. 25: 186-220. PMID 23020110 DOI: 10.1162/Neco_A_00385 |
0.38 |
|
| 2013 |
Phan AH, Tichavský P, Cichocki A. Low Complexity Damped Gauss--Newton Algorithms for CANDECOMP/PARAFAC Siam Journal On Matrix Analysis and Applications. 34: 126-147. DOI: 10.1137/100808034 |
0.333 |
|
| 2013 |
Phan A, Tichavsky P, Cichocki A. Fast Alternating LS Algorithms for High Order CANDECOMP/PARAFAC Tensor Factorizations Ieee Transactions On Signal Processing. 61: 4834-4846. DOI: 10.1109/Tsp.2013.2269903 |
0.356 |
|
| 2013 |
Phan A, Tichavsky P, Cichocki A. CANDECOMP/PARAFAC Decomposition of High-Order Tensors Through Tensor Reshaping Ieee Transactions On Signal Processing. 61: 4847-4860. DOI: 10.1109/Tsp.2013.2269046 |
0.346 |
|
| 2013 |
Zhao Q, Zhou G, Adali T, Zhang L, Cichocki A. Kernelization of Tensor-Based Models for Multiway Data Analysis: Processing of Multidimensional Structured Data Ieee Signal Processing Magazine. 30: 137-148. DOI: 10.1109/Msp.2013.2255334 |
0.361 |
|
| 2013 |
Sanei S, Ferdowsi S, Nazarpour K, Cichocki A. Advances in electroencephalography signal processing Ieee Signal Processing Magazine. 30: 170-176. DOI: 10.1109/Msp.2012.2219675 |
0.302 |
|
| 2013 |
Koldovsky Z, Tichavsky P, Phan AH, Cichocki A. A Two-Stage MMSE Beamformer for Underdetermined Signal Separation Ieee Signal Processing Letters. 20: 1227-1230. DOI: 10.1109/Lsp.2013.2285932 |
0.345 |
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| 2013 |
Caiafa CF, Cichocki A. Multidimensional compressed sensing and their applications Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery. 3: 355-380. DOI: 10.1002/Widm.1108 |
0.368 |
|
| 2012 |
Latchoumane CF, Vialatte FB, Solé-Casals J, Maurice M, Wimalaratna SR, Hudson N, Jeong J, Cichocki A. Multiway array decomposition analysis of EEGs in Alzheimer's disease. Journal of Neuroscience Methods. 207: 41-50. PMID 22480988 DOI: 10.1016/J.Jneumeth.2012.03.005 |
0.337 |
|
| 2012 |
Zhang Y, Zhao Q, Jin J, Wang X, Cichocki A. A novel BCI based on ERP components sensitive to configural processing of human faces. Journal of Neural Engineering. 9: 026018. PMID 22414683 DOI: 10.1088/1741-2560/9/2/026018 |
0.303 |
|
| 2012 |
Dauwels J, Weber T, Vialatte F, Musha T, Cichocki A. Quantifying statistical interdependence, part III: N > 2 point processes. Neural Computation. 24: 408-54. PMID 22091663 DOI: 10.1162/Neco_A_00235 |
0.319 |
|
| 2012 |
Nam Y, Zhao Q, Cichocki A, Choi S. Tongue-rudder: a glossokinetic-potential-based tongue-machine interface. Ieee Transactions On Bio-Medical Engineering. 59: 290-9. PMID 22049361 DOI: 10.1109/Tbme.2011.2174058 |
0.313 |
|
| 2012 |
Zhou G, Cichocki A. Fast and unique Tucker decompositions via multiway blind source separation Bulletin of the Polish Academy of Sciences-Technical Sciences. 60: 389-405. DOI: 10.2478/V10175-012-0051-4 |
0.376 |
|
| 2012 |
Zhou G, Cichocki A, Xie S. Fast Nonnegative Matrix/Tensor Factorization Based on Low-Rank Approximation Ieee Transactions On Signal Processing. 60: 2928-2940. DOI: 10.1109/Tsp.2012.2190410 |
0.397 |
|
| 2012 |
Zhou G, Cichocki A. Canonical Polyadic Decomposition Based on a Single Mode Blind Source Separation Ieee Signal Processing Letters. 19: 523-526. DOI: 10.1109/Lsp.2012.2205237 |
0.363 |
|
| 2012 |
Phan AH, Cichocki A. Seeking an appropriate alternative least squares algorithm for nonnegative tensor factorizations: A novel recursive solution for nonnegative quadratic programming and NTF Neural Computing and Applications. 21: 623-637. DOI: 10.1007/S00521-011-0652-0 |
0.365 |
|
| 2011 |
Javidi S, Mandic DP, Took CC, Cichocki A. Kurtosis-based blind source extraction of complex non-circular signals with application in EEG artifact removal in real-time. Frontiers in Neuroscience. 5: 105. PMID 22319461 DOI: 10.3389/Fnins.2011.00105 |
0.385 |
|
| 2011 |
He Z, Xie S, Zdunek R, Zhou G, Cichocki A. Symmetric nonnegative matrix factorization: algorithms and applications to probabilistic clustering. Ieee Transactions On Neural Networks. 22: 2117-31. PMID 22042156 DOI: 10.1109/Tnn.2011.2172457 |
0.353 |
|
| 2011 |
Vialatte FB, Dauwels J, Maurice M, Musha T, Cichocki A. Improving the specificity of EEG for diagnosing Alzheimer's disease. International Journal of Alzheimer's Disease. 2011: 259069. PMID 21660242 DOI: 10.4061/2011/259069 |
0.325 |
|
| 2011 |
Cichocki A, Cruces S, Amari Si. Generalized alpha-beta divergences and their application to robust nonnegative matrix factorization Entropy. 13: 134-170. DOI: 10.3390/E13010134 |
0.309 |
|
| 2011 |
Cruces S, Cichocki A. Comment on Blind source separation based on endpoint estimation with applications to the MLSP 2006 data competition Neurocomputing. 74: 863-865. DOI: 10.1016/J.Neucom.2010.09.012 |
0.318 |
|
| 2011 |
Phan AH, Cichocki A. Extended HALS algorithm for nonnegative Tucker decomposition and its applications for multiway analysis and classification Neurocomputing. 74: 1956-1969. DOI: 10.1016/J.Neucom.2010.06.031 |
0.402 |
|
| 2011 |
Phan AH, Cichocki A. PARAFAC algorithms for large-scale problems Neurocomputing. 74: 1970-1984. DOI: 10.1016/J.Neucom.2010.06.030 |
0.353 |
|
| 2011 |
Rutkowski TM, Tanaka T, Cichocki A, Erickson D, Cao J, Mandic DP. Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms Computers in Human Behavior. 27: 1512-1518. DOI: 10.1016/J.Chb.2010.10.016 |
0.304 |
|
| 2010 |
Zhao Q, Rutkowski TM, Zhang L, Cichocki A. Generalized optimal spatial filtering using a kernel approach with application to EEG classification. Cognitive Neurodynamics. 4: 355-8. PMID 22132044 DOI: 10.1007/S11571-010-9125-X |
0.331 |
|
| 2010 |
Washizawa Y, Yamashita Y, Tanaka T, Cichocki A. Blind extraction of global signal from multi-channel noisy observations. Ieee Transactions On Neural Networks. 21: 1472-81. PMID 20667810 DOI: 10.1109/Tnn.2010.2052828 |
0.372 |
|
| 2010 |
Dauwels J, Vialatte F, Cichocki A. Diagnosis of Alzheimer's disease from EEG signals: where are we standing? Current Alzheimer Research. 7: 487-505. PMID 20455865 DOI: 10.2174/156720510792231720 |
0.322 |
|
| 2010 |
Dauwels J, Vialatte F, Musha T, Cichocki A. A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG. Neuroimage. 49: 668-93. PMID 19573607 DOI: 10.1016/J.Neuroimage.2009.06.056 |
0.301 |
|
| 2010 |
Babiloni F, Cichocki A, Gao S. Brain-computer interfaces: towards practical implementations and potential applications. Computational Intelligence and Neuroscience. 62637. PMID 18301717 DOI: 10.1155/2007/62637 |
0.356 |
|
| 2010 |
Phan AH, Cichocki A. Tensor decompositions for feature extraction and classification of high dimensional datasets Nonlinear Theory and Its Applications, Ieice. 1: 37-68. DOI: 10.1587/Nolta.1.37 |
0.375 |
|
| 2010 |
Rutkowski TM, Mandic DP, Cichocki A, Przybyszewski AW. Emd Approach To Multichannel Eeg Data — The Amplitude And Phase Components Clustering Analysis Journal of Circuits, Systems, and Computers. 19: 215-229. DOI: 10.1142/S0218126610006037 |
0.355 |
|
| 2010 |
Javidi S, Mandic DP, Cichocki A. Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics Ieee Transactions On Circuits and Systems I-Regular Papers. 57: 1404-1416. DOI: 10.1109/Tcsi.2010.2043985 |
0.388 |
|
| 2009 |
Astolfi L, Cichocki A, Babiloni F. NeuroMath: advanced methods for the estimation of human brain activity and connectivity. Computational Intelligence and Neuroscience. 275638. PMID 19859564 DOI: 10.1155/2009/275638 |
0.349 |
|
| 2009 |
Caiafa CF, Cichocki A. Estimation of sparse nonnegative sources from noisy overcomplete mixtures using MAP. Neural Computation. 21: 3487-518. PMID 19764872 DOI: 10.1162/Neco.2009.08-08-846 |
0.397 |
|
| 2009 |
Dauwels J, Vialatte F, Weber T, Cichocki A. Quantifying statistical interdependence by message passing on graphs-part I: one-dimensional point processes. Neural Computation. 21: 2152-202. PMID 19670479 DOI: 10.1162/Neco.2009.04-08-746 |
0.344 |
|
| 2009 |
Cichocki A, Phan AH. Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations Ieice Transactions On Fundamentals of Electronics, Communications and Computer Sciences. 92: 708-721. DOI: 10.1587/Transfun.E92.A.708 |
0.406 |
|
| 2009 |
Wang W, Cichocki A, Chambers JA. A Multiplicative Algorithm for Convolutive Non-Negative Matrix Factorization Based on Squared Euclidean Distance Ieee Transactions On Signal Processing. 57: 2858-2864. DOI: 10.1109/Tsp.2009.2016881 |
0.367 |
|
| 2009 |
He Z, Cichocki A, Zdunek R, Xie S. Improved FOCUSS Method With Conjugate Gradient Iterations Ieee Transactions On Signal Processing. 57: 399-404. DOI: 10.1109/Tsp.2008.2007605 |
0.322 |
|
| 2009 |
He Z, Cichocki A, Xie S. Efficient method for Tucker3 model selection Electronics Letters. 45: 805-806. DOI: 10.1049/El.2009.0635 |
0.302 |
|
| 2009 |
He Z, Cichocki A, Li Y, Xie S, Sanei S. K-hyperline clustering learning for sparse component analysis Signal Processing. 89: 1011-1022. DOI: 10.1016/J.Sigpro.2008.12.005 |
0.303 |
|
| 2009 |
Lee H, Cichocki A, Choi S. Kernel nonnegative matrix factorization for spectral EEG feature extraction Neurocomputing. 72: 3182-3190. DOI: 10.1016/J.Neucom.2009.03.005 |
0.361 |
|
| 2009 |
Swiderski B, Osowski S, Cichocki A, Rysz A. Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus Neurocomputing. 72: 1575-1583. DOI: 10.1016/J.Neucom.2008.09.004 |
0.309 |
|
| 2009 |
Kopriva I, Jerić I, Cichocki A. Blind decomposition of infrared spectra using flexible component analysis Chemometrics and Intelligent Laboratory Systems. 97: 170-178. DOI: 10.1016/J.Chemolab.2009.04.002 |
0.342 |
|
| 2009 |
Kopriva I, Cichocki A. Blind decomposition of low-dimensional multi-spectral image by sparse component analysis Journal of Chemometrics. 23: 590-597. DOI: 10.1002/Cem.1257 |
0.342 |
|
| 2009 |
Cichocki A, Zdunek R, Phan AH, Amari SI. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis and Blind Source Separation Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis and Blind Source Separation. 1-477. DOI: 10.1002/9780470747278 |
0.309 |
|
| 2008 |
Adali T, Wang ZJ, McKeown MJ, Ciuciu P, Hansen LK, Cichocki A, Calhoun VD. Introduction to the Issue on fMRI Analysis for Human Brain Mapping. Ieee Journal of Selected Topics in Signal Processing. 2: 813. PMID 20119499 DOI: 10.1109/Jstsp.2008.2009263 |
0.306 |
|
| 2008 |
Li Y, Cichocki A, Amari S, Xie S, Guan C. Equivalence probability and sparsity of two sparse solutions in sparse representation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 19: 2009-21. PMID 19054726 DOI: 10.1109/Tnn.2008.2003980 |
0.326 |
|
| 2008 |
Chen Z, Cao J, Cao Y, Zhang Y, Gu F, Zhu G, Hong Z, Wang B, Cichocki A. An empirical EEG analysis in brain death diagnosis for adults. Cognitive Neurodynamics. 2: 257-71. PMID 19003489 DOI: 10.1007/S11571-008-9047-Z |
0.329 |
|
| 2008 |
Vialatte FB, Solé-Casals J, Cichocki A. EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts. Physiological Measurement. 29: 1435-52. PMID 19001689 DOI: 10.1088/0967-3334/29/12/007 |
0.349 |
|
| 2008 |
Zdunek R, Cichocki A. Fast nonnegative matrix factorization algorithms using projected gradient approaches for large-scale problems. Computational Intelligence and Neuroscience. 2008: 939567. PMID 18628948 DOI: 10.1155/2008/939567 |
0.353 |
|
| 2008 |
Cichocki A, Mørup M, Smaragdis P, Wang W, Zdunek R. Advances in nonnegative matrix and tensor factorization. Computational Intelligence and Neuroscience. 852187. PMID 18615193 DOI: 10.1155/2008/852187 |
0.445 |
|
| 2008 |
Xu JW, Bakardjian H, Cichocki A, Principe JC. A new nonlinear similarity measure for multichannel signals. Neural Networks : the Official Journal of the International Neural Network Society. 21: 222-31. PMID 18272331 DOI: 10.1016/J.Neunet.2007.12.039 |
0.334 |
|
| 2008 |
Liu W, Mandic DP, Cichocki A. Analysis and online realization of the CCA approach for blind source separation. Ieee Transactions On Neural Networks. 18: 1505-10. PMID 18220197 DOI: 10.1109/Tnn.2007.894017 |
0.391 |
|
| 2008 |
Vialatte FB, Cichocki A. Split-test Bonferroni correction for QEEG statistical maps. Biological Cybernetics. 98: 295-303. PMID 18214522 DOI: 10.1007/S00422-008-0210-8 |
0.321 |
|
| 2008 |
He Z, Xie S, Zhang L, Cichocki A. A note on Lewicki-Sejnowski gradient for learning overcomplete representations. Neural Computation. 20: 636-43. PMID 18047437 DOI: 10.1162/Neco.2007.07-06-296 |
0.32 |
|
| 2008 |
Zdunek R, Cichocki A. Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals Ieee Transactions On Signal Processing. 56: 4752-4761. DOI: 10.1109/Tsp.2008.928160 |
0.386 |
|
| 2008 |
Cichocki A, Zdunek R, Amari S-. Nonnegative Matrix and Tensor Factorization [Lecture Notes] Ieee Signal Processing Magazine. 25: 142-145. DOI: 10.1109/Msp.2008.4408452 |
0.36 |
|
| 2008 |
Cichocki A, Lee H, Kim Y, Choi S. Non-negative matrix factorization with α-divergence Pattern Recognition Letters. 29: 1433-1440. DOI: 10.1016/J.Patrec.2008.02.016 |
0.366 |
|
| 2008 |
Washizawa Y, Cichocki A. Sparse blind identification and separation by using adaptive K-orthodrome clustering Neurocomputing. 71: 2321-2329. DOI: 10.1016/J.Neucom.2007.08.034 |
0.377 |
|
| 2007 |
Martinez P, Bakardjian H, Cichocki A. Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm. Computational Intelligence and Neuroscience. 94561. PMID 18354725 DOI: 10.1155/2007/94561 |
0.319 |
|
| 2007 |
Cichocki A, Sanei S. EEG/MEG signal processing. Computational Intelligence and Neuroscience. 97026. PMID 18301719 DOI: 10.1155/2007/97026 |
0.411 |
|
| 2007 |
Cichocki A, Zdunek R. Multilayer nonnegative matrix factorization using projected gradient approaches. International Journal of Neural Systems. 17: 431-446. PMID 18186593 DOI: 10.1142/S0129065707001275 |
0.375 |
|
| 2007 |
Lee H, Kim YD, Cichocki A, Choi S. Nonnegative tensor factorization for continuous EEG classification. International Journal of Neural Systems. 17: 305-17. PMID 17696294 DOI: 10.1142/S0129065707001159 |
0.365 |
|
| 2007 |
De Vico Fallani F, Astolfi L, Cincotti F, Mattia D, Tocci A, Marciani MG, Colosimo A, Salinari S, Gao S, Cichocki A, Babiloni F. Extracting information from cortical connectivity patterns estimated from high resolution EEG recordings: a theoretical graph approach. Brain Topography. 19: 125-36. PMID 17587170 DOI: 10.1007/S10548-007-0019-0 |
0.339 |
|
| 2007 |
Woon WL, Cichocki A. Novel features for brain-computer interfaces Computational Intelligence and Neuroscience. 2007. DOI: 10.1155/2007/82827 |
0.326 |
|
| 2007 |
Cichocki A, Ehlers F. Editorial: advances in blind source separation Eurasip Journal On Advances in Signal Processing. 2007: 87-87. DOI: 10.1155/2007/57314 |
0.328 |
|
| 2007 |
Theis FJ, Georgiev P, Cichocki A. Robust sparse component analysis based on a generalized Hough transform Eurasip Journal On Advances in Signal Processing. 2007: 86-86. DOI: 10.1155/2007/52105 |
0.329 |
|
| 2007 |
Park J, Kim S, Kim C, Cichocki A, Kim K. Multiscale Entropy Analysis Of Eeg From Patients Under Different Pathological Conditions Fractals. 15: 399-404. DOI: 10.1142/S0218348X07003691 |
0.304 |
|
| 2007 |
Feng D, Zheng WX, Cichocki A. Matrix-Group Algorithm via Improved Whitening Process for Extracting Statistically Independent Sources From Array Signals Ieee Transactions On Signal Processing. 55: 962-977. DOI: 10.1109/Tsp.2006.887126 |
0.421 |
|
| 2007 |
He Z, Xie S, Ding S, Cichocki A. Convolutive Blind Source Separation in the Frequency Domain Based on Sparse Representation Ieee Transactions On Audio, Speech, and Language Processing. 15: 1551-1563. DOI: 10.1109/Tasl.2007.898457 |
0.352 |
|
| 2007 |
Osowski S, Swiderski B, Cichocki A, Rysz A. Epileptic seizure characterization by Lyapunov exponent of EEG signal Compel-the International Journal For Computation and Mathematics in Electrical and Electronic Engineering. 26: 1276-1287. DOI: 10.1108/03321640710823019 |
0.342 |
|
| 2007 |
Liu W, Mandic DP, Cichocki A. Blind source extraction based on a linear predictor Iet Signal Processing. 1: 29-34. DOI: 10.1049/Iet-Spr:20060263 |
0.385 |
|
| 2007 |
Zdunek R, Cichocki A. Nonnegative matrix factorization with constrained second-order optimization Signal Processing. 87: 1904-1916. DOI: 10.1016/J.Sigpro.2007.01.024 |
0.364 |
|
| 2007 |
Seghouane A, Cichocki A. Fast communication: Bayesian estimation of the number of principal components Signal Processing. 87: 562-568. DOI: 10.1016/J.Sigpro.2006.09.001 |
0.329 |
|
| 2007 |
Georgiev P, Pardalos P, Cichocki A. Algorithms with high order convergence speed for blind source extraction Computational Optimization and Applications. 38: 123-131. DOI: 10.1007/S10589-007-9031-2 |
0.358 |
|
| 2006 |
Nakamura W, Anami K, Mori T, Saitoh O, Cichocki A, Amari S. Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. Ieee Transactions On Bio-Medical Engineering. 53: 1294-308. PMID 16830934 DOI: 10.1109/Tbme.2006.875718 |
0.339 |
|
| 2006 |
Li Y, Cichocki A, Amari S. Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 17: 419-31. PMID 16566469 DOI: 10.1109/Tnn.2005.863424 |
0.37 |
|
| 2006 |
Jafari MG, Wang W, Chambers JA, Hoya T, Cichocki A. Sequential blind source separation based exclusively on second-order statistics developed for a class of periodic signals Ieee Transactions On Signal Processing. 54: 1028-1040. DOI: 10.1109/Tsp.2005.863005 |
0.408 |
|
| 2006 |
Li Y, Amari S, Cichocki A, Ho DWC, Xie S. Underdetermined blind source separation based on sparse representation Ieee Transactions On Signal Processing. 54: 423-437. DOI: 10.1109/Tsp.2005.861743 |
0.381 |
|
| 2006 |
Li Y, Amari S-, Cichocki A, Guan C. Probability estimation for recoverability analysis of blind source separation based on sparse representation Ieee Transactions On Information Theory. 52: 3139-3152. DOI: 10.1109/Tit.2006.876348 |
0.318 |
|
| 2006 |
Liu W, Mandic D, Cichocki A. Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures Ieee Transactions On Circuits and Systems Ii: Express Briefs. 53: 931-935. DOI: 10.1109/Tcsii.2006.881815 |
0.377 |
|
| 2006 |
Ding S, Huang J, Wei D, Cichocki A. A near real-time approach for convolutive blind source separation Ieee Transactions On Circuits and Systems. 53: 114-128. DOI: 10.1109/Tcsi.2005.854295 |
0.407 |
|
| 2006 |
Cichocki A, Zdunek R. Multilayer nonnegative matrix factorisation Electronics Letters. 42: 947-948. DOI: 10.1049/El:20060983 |
0.368 |
|
| 2006 |
Choi S, Ahn J, Cichocki A. Constrained Projection Approximation Algorithms for Principal Component Analysis Neural Processing Letters. 24: 53-65. DOI: 10.1007/S11063-006-9011-Z |
0.346 |
|
| 2005 |
Cichocki A, Shishkin SL, Musha T, Leonowicz Z, Asada T, Kurachi T. EEG filtering based on blind source separation (BSS) for early detection of Alzheimer's disease Clinical Neurophysiology. 116: 729-737. PMID 15721088 DOI: 10.1016/J.Clinph.2004.09.017 |
0.341 |
|
| 2005 |
Hoya T, Tanaka T, Cichocki A, Murakami T, Hori G, Chambers JA. Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement Ieee Transactions On Speech and Audio Processing. 13: 309-320. DOI: 10.1109/Tsa.2005.845792 |
0.323 |
|
| 2005 |
Ding S, Cichocki A, Huang J, Wei D. Blind source separation of acoustic signals in realistic environments based on ICA in the time‐frequency domain International Journal of Pervasive Computing and Communications. 1: 89-100. DOI: 10.1108/17427370580000115 |
0.383 |
|
| 2005 |
Li Y, Cichocki A. Non-negative matrix factorization and its application in blind sparse source separation with less sensors than sources Compel-the International Journal For Computation and Mathematics in Electrical and Electronic Engineering. 24: 695-706. DOI: 10.1108/03321640510571174 |
0.351 |
|
| 2005 |
Cichocki A, Stansell SR, Leonowicz Z, Buck J. Independent variable selection: Application of independent component analysis to forecasting a stock index Journal of Asset Management. 6: 248-258. DOI: 10.1057/Palgrave.Jam.2240179 |
0.316 |
|
| 2004 |
Cruces-Alvarez SA, Cichocki A, Amari S. From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 859-73. PMID 15461079 DOI: 10.1109/Tnn.2004.828764 |
0.394 |
|
| 2004 |
Zhang L, Cichocki A, Amari S. Self-adaptive blind source separation based on activation functions adaptation. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 233-44. PMID 15384517 DOI: 10.1109/Tnn.2004.824420 |
0.383 |
|
| 2004 |
Li Y, Cichocki A, Amari S. Analysis of sparse representation and blind source separation. Neural Computation. 16: 1193-234. PMID 15130247 DOI: 10.1162/089976604773717586 |
0.33 |
|
| 2004 |
Li Y, Wang J, Cichocki A. Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels Ieee Transactions On Circuits and Systems. 51: 1814-1822. DOI: 10.1109/Tcsi.2004.832723 |
0.305 |
|
| 2004 |
Hoya T, Cichocki A, Tanaka T, Murakami T. Stereophonic noise reduction by a combined non-recursive multi-stage sliding subspace projection and adaptive signal enhancement Ifac Proceedings Volumes. 37: 421-426. DOI: 10.1016/S1474-6670(17)31505-7 |
0.327 |
|
| 2004 |
Li Y, Cichocki A, Zhang L. Blind source estimation of FIR channels for binary sources: a grouping decision approach Signal Processing. 84: 2245-2263. DOI: 10.1016/J.Sigpro.2004.07.020 |
0.343 |
|
| 2003 |
Cao J, Murata N, Amari S, Cichocki A, Takeda T. A robust approach to independent component analysis of signals with high-level noise measurements. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 14: 631-45. PMID 18238044 DOI: 10.1109/Tnn.2002.806648 |
0.36 |
|
| 2003 |
Barros AK, Cichocki A, Ohnishi N. Wavelet-like receptive fields emerges by non-linear minimization of neuron error. International Journal of Neural Systems. 13: 87-91. PMID 12923921 DOI: 10.1142/S0129065703001479 |
0.331 |
|
| 2003 |
Gharieb RR, Cichocki A. Second-order statistics based blind source separation using a bank of subband filters Digital Signal Processing. 13: 252-274. DOI: 10.1016/S1051-2004(02)00034-9 |
0.376 |
|
| 2002 |
Choi S, Cichocki A, Amari S. Equivariant nonstationary source separation. Neural Networks : the Official Journal of the International Neural Network Society. 15: 121-30. PMID 11958485 DOI: 10.1016/S0893-6080(01)00137-X |
0.36 |
|
| 2002 |
Vorobyov S, Cichocki A. Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis. Biological Cybernetics. 86: 293-303. PMID 11956810 DOI: 10.1007/S00422-001-0298-6 |
0.331 |
|
| 2002 |
Cruces-Alvarez SA, Cichocki A, Amari S-. On a new blind signal extraction algorithm: different criteria and stability analysis Ieee Signal Processing Letters. 9: 233-236. DOI: 10.1109/Lsp.2002.803025 |
0.39 |
|
| 2002 |
Cruces S, Castedo L, Cichocki A. Robust blind source separation algorithms using cumulants Neurocomputing. 49: 87-118. DOI: 10.1016/S0925-2312(02)00525-8 |
0.395 |
|
| 2002 |
Cao J, Murata N, Amari S, Cichocki A, Takeda T. Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization Neurocomputing. 49: 255-277. DOI: 10.1016/S0925-2312(02)00519-2 |
0.329 |
|
| 2001 |
Barros AK, Cichocki A. Extraction of Specific Signals with Temporal Structure Neural Computation. 13: 1995-2003. PMID 11516354 DOI: 10.1162/089976601750399272 |
0.382 |
|
| 2001 |
Gharieb RR, Cichocki A. Noise reduction in brain evoked potentials based on third-order correlations Ieee Transactions On Biomedical Engineering. 48: 501-512. PMID 11341524 DOI: 10.1109/10.918589 |
0.324 |
|
| 2001 |
Vorobyov SA, Cichocki A, Bodyanskiy YV. Adaptive Noise Cancellation For Multi-Sensory Signals Fluctuation and Noise Letters. 1. DOI: 10.1142/S0219477501000032 |
0.377 |
|
| 2001 |
Choi S, Cichocki A. Algebraic differential decorrelation for nonstationary source separation Electronics Letters. 37: 1414-1415. DOI: 10.1049/El:20010932 |
0.325 |
|
| 2001 |
Choi S, Cichocki A. Blind equalisation using approximate maximum likelihood source separation Electronics Letters. 37: 61-62. DOI: 10.1049/El:20010024 |
0.328 |
|
| 2001 |
Zhang L, Amari S, Cichocki A. Semiparametric model and superefficiency in blind deconvolution Signal Processing. 81: 2535-2553. DOI: 10.1016/S0165-1684(01)00146-3 |
0.31 |
|
| 2001 |
Vorobyov SA, Cichocki A. Hyper Radial Basis Function Neural Networks for Interference Cancellation with Nonlinear Processing of Reference Signal Digital Signal Processing. 11: 204-221. DOI: 10.1006/Dspr.2001.0398 |
0.324 |
|
| 2000 |
Cruces-Alvarez S, Cichocki A, Castedo-Ribas L. An iterative inversion approach to blind source separation Ieee Transactions On Neural Networks. 11: 1423-1437. PMID 18249866 DOI: 10.1109/72.883471 |
0.36 |
|
| 2000 |
Amari S, Chen TP, Cichocki A. Nonholonomic orthogonal learning algorithms for blind source separation. Neural Computation. 12: 1463-84. PMID 10935723 DOI: 10.1162/089976600300015466 |
0.405 |
|
| 2000 |
Lobos T, Kostyla P, Waclawek Z, Cichocki A. Adaptive neural networks for robust estimation of signal parameters Compel-the International Journal For Computation and Mathematics in Electrical and Electronic Engineering. 19: 903-912. DOI: 10.1108/03321640010334668 |
0.382 |
|
| 2000 |
Belouchrani A, Cichocki A. Robust whitening procedure in blind source separation context Electronics Letters. 36: 2050-2051. DOI: 10.1049/El:20001436 |
0.371 |
|
| 2000 |
Choi S, Cichocki A. Blind separation of nonstationary sources in noisy mixtures Electronics Letters. 36: 848-849. DOI: 10.1049/El:20000623 |
0.356 |
|
| 2000 |
Cichocki A, Thawonmas R. On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed, but Temporally Correlated Sources Using Second Order Statistics Neural Processing Letters. 12: 91-98. DOI: 10.1023/A:1009616029367 |
0.391 |
|
| 1999 |
Choi S, Cichocki A. An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment Journal of Communications and Networks. 1: 19-25. DOI: 10.1109/Jcn.1999.6596694 |
0.372 |
|
| 1999 |
Zhang L, Cichocki A, Amari S. Natural gradient algorithm for blind separation of overdetermined mixture with additive noise Ieee Signal Processing Letters. 6: 293-295. DOI: 10.1109/97.796292 |
0.345 |
|
| 1999 |
Douglas SC, Cichocki A, Amari SI. Self-whitening algorithms for adaptive equalization and deconvolution Ieee Transactions On Signal Processing. 47: 1161-1165. DOI: 10.1109/78.752617 |
0.325 |
|
| 1999 |
Choi S, Cichocki A. Hybrid learning approach to blind deconvolution of linear MIMO systems Electronics Letters. 35: 1429-1430. DOI: 10.1049/El:19990985 |
0.339 |
|
| 1999 |
Cichocki A, Karhunen J, Kasprzak W, Vigário R. Neural networks for blind separation with unknown number of sources Neurocomputing. 24: 55-93. DOI: 10.1016/S0925-2312(98)00091-5 |
0.358 |
|
| 1999 |
Osowski S, Cichocki A. Learning in dynamic neural networks using signal flow graphs International Journal of Circuit Theory and Applications. 27: 209-228. DOI: 10.1002/(Sici)1097-007X(199903/04)27:2<209::Aid-Cta54>3.0.Co;2-7 |
0.3 |
|
| 1998 |
Girolami M, Cichocki A, Amari S. A common neural-network model for unsupervised exploratory data analysis and independent component analysis. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 9: 1495-501. PMID 18255826 DOI: 10.1109/72.728398 |
0.391 |
|
| 1998 |
Douglas SC, Cichocki A, Amari S. Bias removal technique for blind source separation with noisy measurements Electronics Letters. 34: 1379-1380. DOI: 10.1049/El:19980994 |
0.322 |
|
| 1998 |
Choi S, Liu R, Cichocki A. A Spurious Equilibria-free Learning Algorithm for the BlindSeparation of Non-zoer Skewness Signals Neural Processing Letters. 7: 61-68. DOI: 10.1023/A:1009688827236 |
0.372 |
|
| 1998 |
Cichocki A, Douglas SC, Amari S. Robust techniques for independent component analysis (ICA) with noisy data Neurocomputing. 22: 113-129. DOI: 10.1016/S0925-2312(98)00052-6 |
0.362 |
|
| 1998 |
Yang HH, Amari S, Cichocki A. Information–theoretic approach to blind separation of sources in non-linear mixture Signal Processing. 64: 291-300. DOI: 10.1016/S0165-1684(97)00196-5 |
0.319 |
|
| 1997 |
Luo F, Unbehauen R, Cichocki A. A Minor Component Analysis Algorithm. Neural Networks. 10: 291-297. PMID 12662527 DOI: 10.1016/S0893-6080(96)00063-9 |
0.388 |
|
| 1997 |
Cichocki A, Chen T, Amari S. Stability Analysis of Learning Algorithms for Blind Source Separation. Neural Networks : the Official Journal of the International Neural Network Society. 10: 1345-1351. PMID 12662478 DOI: 10.1016/S0893-6080(97)00039-7 |
0.352 |
|
| 1997 |
Karhunen J, Cichocki A, Kasprzak W, Pajunen P. On neural blind separation with noise suppression and redundancy reduction. International Journal of Neural Systems. 8: 219-237. PMID 9327277 DOI: 10.1142/S0129065797000239 |
0.351 |
|
| 1997 |
Douglas SC, Cichocki A. Neural networks for blind decorrelation of signals Ieee Transactions On Signal Processing. 45: 2829-2842. DOI: 10.1109/78.650109 |
0.337 |
|
| 1997 |
Cichocki A, Thawonmas R, Amari S. Sequential blind signal extraction in order specified by stochastic properties Electronics Letters. 33: 64. DOI: 10.1049/El:19970060 |
0.391 |
|
| 1997 |
Cichocki A, Kostyła P, Łobos T, Wacławek Z. Adaptive Neural Networks for Robust Estimation of Signal Parameters Ifac Proceedings Volumes. 30: 485-490. DOI: 10.1016/S1474-6670(17)43411-2 |
0.39 |
|
| 1997 |
Amari S, Douglas SC, Cichocki A, Yang HH. Novel On-Line Adaptive Learning Algorithms for Blind Deconvolution Using the Natural Gradient Approach Ifac Proceedings Volumes. 30: 1007-1012. DOI: 10.1016/S1474-6670(17)42972-7 |
0.373 |
|
| 1997 |
Kasprzak W, Cichocki A, Amari S. Blind source separation with convolutive noise cancellation Neural Computing & Applications. 6: 127-141. DOI: 10.1007/Bf01413824 |
0.331 |
|
| 1997 |
Cichocki A, Bogner RE, Moszczynski L, Pope KJ. Modified Herault–Jutten Algorithms for Blind Separation of Sources Digital Signal Processing. 7: 80-93. DOI: 10.1006/Dspr.1997.0281 |
0.357 |
|
| 1996 |
Cichocki A, Unbehauen R. Robust neural networks with on-line learning for blind identification and blind separation of sources Ieee Transactions On Circuits and Systems I-Regular Papers. 43: 894-906. DOI: 10.1109/81.542280 |
0.391 |
|
| 1996 |
Douglas SC, Cichocki A, Amari S. Fast-convergence filtered regressor algorithms for blind equalisation Electronics Letters. 32: 2114-2115. DOI: 10.1049/El:19961414 |
0.346 |
|
| 1996 |
Cichocki A, Unbehauen R, Weinzierl K, Holzel R. A new neural network for solving linear programming problems European Journal of Operational Research. 93: 244-256. DOI: 10.1016/0377-2217(96)00044-6 |
0.302 |
|
| 1995 |
Cichocki A, Unbehauen R, Lendl M, Weinzierl K. Neural networks for linear inverse problems with incomplete data especially in applications to signal and image reconstruction Neurocomputing. 8: 7-41. DOI: 10.1016/0925-2312(94)E0063-W |
0.356 |
|
| 1994 |
Cichocki A, Unbehauen R. Simplified neural networks for solving linear least squares and total least squares problems in real time Ieee Transactions On Neural Networks. 5: 910-923. PMID 18267865 DOI: 10.1109/72.329687 |
0.383 |
|
| 1994 |
Cichocki A, Unbehauen R, Rummert E. Robust learning algorithm for blind separation of signals Electronics Letters. 30: 1386-1387. DOI: 10.1049/El:19940956 |
0.381 |
|
| 1993 |
Cichocki A, Lobos T. Artificial neural networks for real-time estimation of basic waveforms of voltages and currents Ieee Transactions On Power Systems. 9: 612-618. DOI: 10.1109/59.317683 |
0.379 |
|
| 1993 |
Cichocki A, Lobos T. Neural networks for real-time estimation of the basic waveforms of voltages and currents encountered in power systems International Journal of Electronics. 74: 307-318. DOI: 10.1080/00207219308925836 |
0.374 |
|
| 1993 |
Cichocki A, Unbehauen R. Robust estimation of principal components by using neural network learning algorithms Electronics Letters. 29: 1869-1870. DOI: 10.1049/El:19931244 |
0.365 |
|
| 1992 |
Cichocki A, Moszczynski L. New learning algorithm for blind separation of sources Electronics Letters. 28: 1986-1987. DOI: 10.1049/El:19921273 |
0.372 |
|
| 1992 |
Cichocki A. Neural network for singular value decomposition Electronics Letters. 28: 784-786. DOI: 10.1049/El:19920495 |
0.366 |
|
| 1992 |
Cichocki A, Unbehauen R. Neural networks for computing eigenvalues and eigenvectors Biological Cybernetics. 68: 155-164. DOI: 10.1007/Bf00201437 |
0.357 |
|
| 1991 |
Cichocki A, Unbehauen R. Winner-take-all neural network and its application to minimax optimisation problems Electronics Letters. 27: 2026-2028. DOI: 10.1049/El:19911255 |
0.313 |
|
| 1991 |
Cichocki A, Unbehauen R. Switched‐capacitor neural networks for differential optimization International Journal of Circuit Theory and Applications. 19: 161-187. DOI: 10.1002/Cta.4490190205 |
0.32 |
|
| 1986 |
Cichocki A, Unbehauen R. Simple technique for analysis of SC networks using general-purpose circuit simulation programs Electronics Letters. 22: 956-958. DOI: 10.1049/El:19860652 |
0.303 |
|
| 1979 |
Cichocki A, Osowski S. Synthesis of n‐port networks by a matrix‐continuant International Journal of Circuit Theory and Applications. 7: 77-86. DOI: 10.1002/Cta.4490070109 |
0.301 |
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