A tensor-based method for large-scale blind source separation using segmentation M Bousse, O Debals, L De Lathauwer IEEE Transactions on Signal Processing 65 (2), 346-358, 2016 | 127 | 2016 |
Linear systems with a canonical polyadic decomposition constrained solution: Algorithms and applications M Boussé, N Vervliet, I Domanov, O Debals, L De Lathauwer Numerical Linear Algebra with Applications 25 (6), e2190, 2018 | 42 | 2018 |
Tensor-based large-scale blind system identification using segmentation M Boussé, O Debals, L De Lathauwer IEEE Transactions on Signal Processing 65 (21), 5770-5784, 2017 | 32 | 2017 |
Irregular heartbeat classification using Kronecker product equations M Boussé, G Goovaerts, N Vervliet, O Debals, S Van Huffel, ... 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 26 | 2017 |
The power of tensor-based approaches in cardiac applications S Padhy, G Goovaerts, M Boussé, L De Lathauwer, S Van Huffel Biomedical Signal Processing: Advances in Theory, Algorithms and …, 2020 | 16 | 2020 |
Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights M Boussé, L De Lathauwer 2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017 | 13 | 2017 |
Single-channel EEG classification by multi-channel tensor subspace learning and regression S Van Eyndhoven, M Boussé, B Hunyadi, L De Lathauwer, S Van Huffel 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 12 | 2018 |
Face recognition as a Kronecker product equation M Boussé, N Vervliet, O Debals, L De Lathauwer 2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017 | 11 | 2017 |
A novel deterministic method for large-scale blind source separation M Boussé, O Debals, L De Lathauwer 2015 23rd European Signal Processing Conference (EUSIPCO), 1890-1894, 2015 | 8 | 2015 |
Tensor-based ECG signal processing applied to atrial fibrillation detection S Geirnaert, G Goovaerts, S Padhy, M Boussé, L De Lathauwer, ... 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 799-805, 2018 | 7 | 2018 |
Large-scale autoregressive system identification using kronecker product equations M Boussé, L De Lathauwer 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 5 | 2018 |
CPD updating using low-rank weights M Vandecappelle, M Bouss, N Vervliet, L De Lathauwer 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 5 | 2018 |
Algebraic and optimization based algorithms for multivariate regression using symmetric tensor decomposition S Hendrikx, M Boussé, N Vervliet, L De Lathauwer 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 4 | 2019 |
NLS algorithm for Kronecker-structured linear systems with a CPD constrained solution M Boussé, N Sidiropoulos, L De Lathauwer 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 4 | 2019 |
A tensor-based method for large-scale blind system identification using segmentation M Boussé, O Debals, L De Lathauwer 2016 24th European Signal Processing Conference (EUSIPCO), 2015-2019, 2016 | 4 | 2016 |
Dealing with curse and blessing of dimensionality through tensor decompositions L De Lathauwer, N Vervliet, M Boussé, O Debals | 3 | 2017 |
Analysis of changes in ECG morphology prior to in-hospital cardiac arrest using weighted tensor decompositions G Goovaerts, M Boussé, D Do, L De Lathauwer, S Van Huffel, X Hu Submitted for publication, 2019 | 2 | 2019 |
Thesis abstract: Tensor-based pattern recognition, data analysis and learning S Hendrikx, N Vervliet, M Boussé, L De Lathauwer Proc. of BNAIC/BeneLearn 2020, 416-417, 2020 | 1 | 2020 |
Explicit and Implicit Tensor Decomposition-Based Algorithms and Applications M Boussé PhD thesis, KU Leuven, 2019 | 1 | 2019 |
Recent Numerical and Conceptual Advances for Tensor Decompositions—A Preview of Tensorlab 4.0 N Vervliet, M Vandecappelle, M Boussé, R Zink, L De Lathauwer 2019 IEEE Data Science Workshop (DSW), 310-314, 2019 | 1 | 2019 |