Back to the roots of data-driven dynamical system identification

A Recursive Algorithm to Compute a Numerical Basis of the Null Space of the Block Macaulay Matrix

Autori: Vermeersch, Christof; De Moor, Bart
Pubblicato in: Proc. of the 29th ERNSI Workshop in System Identification (ERNSI21);, Numero 2021, 2021
Editore: ERNSI

Multivariate Polynomials (with MacaulayLab) for Beginners

Autori: Vermeersch, Christof; De Moor, Bart
Pubblicato in: Open Flanders AI Research Day, 2023/10/16 - 2023/10/16, 2023
Editore: KU Leuven

Globally optimal least-squares misfit identification of multidimensional autonomous systems

Autori: Vanpoucke, Lukas; De Moor, Bart
Pubblicato in: 30th ERNSI Workshop in System Identification (ERNSI 2022), 2022
Editore: KU Leuven

Multiparameter eigenvalue problems

Autori: De Moor, Bart
Pubblicato in: XXI Householder Symposium on Numerical Linear Algebra, Numero 2022-06;, 2022
Editore: Householder Symposium on Numerical Linear Algebra

Globally optimal SISO H2-norm model reduction

Autori: Lagauw S., De Moor B.
Pubblicato in: Poster Presentation: Selma Closing Event, 2022/06/14 - 2022/06/14, 2023
Editore: KU Leuven

Using the (Block) Macaulay Matrix in the Chebyshev Polynomial Basis

Autori: Vermeersch, Christof; De Moor, B
Pubblicato in: ERNSI 2023, 2023/09/24 - 2023/09/27,, 2023
Editore: KU Leuven

About the Fundamental Subspaces of the Macaulay Matrix

Autori: Christof Vermeersch, Bart De Moor
Pubblicato in: 6th Conference on Applied Algebraic Geometry (AG23),, 2023
Editore: KU Leuven

Least squares optimal realisation of SISO LTI systems is an eigenvalue problem

Autori: Lagauw, Sibren; De Moor, Bart
Pubblicato in: 30th ERNSI Workshop in System Identification (ERNSI22),, Numero 2022, 2022
Editore: https://kuleuven.limo.libis.be/discovery/fulldisplay?docid=lirias4020036&context=SearchWebhook&vid=32KUL_KUL:Lirias&lang=en&search_scope=lirias_profile&adaptor=SearchWebhook&tab=LIRIAS&query=any,contains,LIRIAS4020036&offset=0

Misfit identification of autonomous multidimensional systems

Autori: Vanpoucke, L ; De Moor, Bart
Pubblicato in: 41st Benelux Meeting on Systems and Control, 2022
Editore: Meeting on Systems and Control

Least-squares globally optimal misfit modelling for SISO systems

Autori: Lagauw, Sibren ; De Moor, Bart
Pubblicato in: 41st Benelux Meeting on Systems and Control, 2022
Editore: Benelux meeting on Systems and Control

Globally optimal misfit identification of multidimensional difference equations

Autori: Vanpoucke, Lukas; De Moor, Bart
Pubblicato in: 31st ERNSI Workshop in System Identification (ERNSI 23), Date: 2023/09/24 - 2023/09/27, 2023
Editore: KU leuven

Connection Between DTLS as an MEVP and as a Riemannian SVD

Autori: Viroux, Sem; De Moor, Bart
Pubblicato in: 42nd Benelux Meeting on Systems and Control, 2023
Editore: KU Leuven

Exploring the Critical Values of Multivariate Polynomial Optimization Problems in System Identification Applications

Autori: van Rooij, Hans; De Cock, Katrien; De Moor, Bart
Pubblicato in: 31st ERNSI Workshop in System Identification (ERNSI 23), 2023/09/24 - 2023/09/27, 2023
Editore: KU Leuven

Connection Between DTLS as an MEVP and as a Riemannian SVD

Autori: Viroux, Sem; De Moor, Bart
Pubblicato in: 42nd Benelux Meeting on Systems and Control (BENELUX23), 2023
Editore: KU Leuven

Exploiting Shift-Invariant Subspaces

Autori: Vermeersch, C. ; De Cock, K. ; De Moor, B.
Pubblicato in: Poster presentation at the SeLMA Closing Event, Numero 2022, 2022
Editore: KU Leuven

Globally optimal least-squares misfit identification of multidimensional autonomous systems

Autori: Vanpoucke, Lukas; De Moor, Bart
Pubblicato in: Poster Presentation: Selma Closing Event, 2022/06/14 - 2022/06/14, 2022
Editore: KU Leuven

About (Rectangular) Multiparameter Eigenvalue Problems

Autori: Christof Vermeersch, Bart De Moor
Pubblicato in: 42nd Benelux Meeting on Systems and Control (BENELUX23), 2023
Editore: KU Leuven

Subspace Methods for the Block Macaulay Matrix Framework

Autori: De, Sarthak; Vermeersch, C; De Moor, Bart
Pubblicato in: 42nd Benelux Meeting on Systems and Control (BENELUX23), 2023
Editore: KU Leuven

System Identification Problems as Multiparameter Eigenvalue Problems

Autori: Christof Vermeersch, Bart De Moor
Pubblicato in: 30th ERNSI Workshop in System Identification (ERNSI 2022), 2022
Editore: KU Leuven

A scalable ensemble approach to forecast the electricity consumption of households

Autori: Lola Botman; Jonas Soenen; Konstantinos Theodorakos; Aras Yurtman; Jessa Bekker; Koen Vanthournout; Hendrik Blockeel; Bart De Moor; Jesus Lago
Pubblicato in: IEEE Transactions on Smart Grid, Numero 2023; Vol. 14; No. 1, 2022, ISSN 1949-3053
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsg.2022.3191399

System Architecture of a European Platform for Health Policy Decision Making: MIDAS

Autori: Shi, X ; Nikolic, G ; Fischaber, S ; Black, M ; Rankin, D ; Epelde, G ; Beristain, A ; Alvarez, R ; Arrue, M ; Pita Costa, J ; Grobelnik, M ; Stopar, L ; Pajula, J ; Umer, A ; Poliwoda, P ; Wallace, J ; Carlin, P ; Pääkkönen, J ; De Moor, B
Pubblicato in: Frontiers In Public Health, Numero 2022; Vol. 10, 2022, ISSN 2296-2565
Editore: Frontiers Media
DOI: 10.3389/fpubh.2022.838438

Two Complementary Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems

Autori: Vermeersch, Christof; De Moor, Bart
Pubblicato in: Linear Algebra And Its Applications, Numero 2022; Vol. 654, 2022, Pagina/e 177 - 209, ISSN 0024-3795
Editore: Elsevier BV
DOI: 10.1016/j.laa.2022.08.014

Two Double Recursive Block Macaulay Matrix Algorithms to Solve Multiparameter Eigenvalue Problems

Autori: Christof Vermeersch; Bart De Moor
Pubblicato in: IEEE Control Systems Letters, 2022, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2022.3182632

Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting

Autori: Theodorakos, K. ; Agudelo Manozca, O. ; Schreurs, J. ; Suykens, J. ; De Moor, B.
Pubblicato in: IEEE Transactions On Evolutionary Computation, Numero 2022; Vol. 42; iss. 8, 2022, ISSN 1089-778X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tevc.2022.3189500

Correspondence-Aware Manifold Learning for Microscopic and Spatial Omics Imaging: A Novel Data Fusion Method Bringing Mass Spectrometry Imaging to a Cellular Resolution.

Autori: Smets, Tina ; De Keyser, Tom ; Tousseyn, Thomas ; Waelkens, Etienne ; De Moor, B
Pubblicato in: Analytical Chemistry, Numero 2021; Vol. 93; iss. 7, 2021, Pagina/e 3452 - 3460, ISSN 0003-2700
Editore: American Chemical Society
DOI: 10.1021/acs.analchem.0c04759

An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge

Autori: Shi, Xi ; Prins, Charlotte ; Van Pottelbergh, Gijs ; Mamouris, Pavlos ; Vaes, Bert ; De Moor, Bart
Pubblicato in: Bmc Medical Informatics And Decision Making, Numero 2021; Vol. 21; iss. 1, 2021, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/s12911-021-01630-7

Cepstral Identification of Autoregressive Systems

Autori: Lauwers, Oliver ; Vermeersch, Christof ; De Moor, Bart
Pubblicato in: Automatica, Numero 2022; Vol. 139, 2022, ISSN 0005-1098
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.automatica.2022.110214

Multi-view kernel PCA for time series forecasting

Autori: Arun Pandey, Hannes De Meulemeester, Bart De Moor, Johan A.K. Suykens
Pubblicato in: Neurocomputing, Numero 554, 2025, Pagina/e 126639, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2023.126639

Explainable representative-days clustering on low-voltage grid meters and feeders, with noise-aware multi-objective Bayesian optimization, applied to grid-congestion events

Autori: Konstantinos Theodorakos, Oscar Mauricio Agudelo, Thijs Becker, Koen Vanthournout, Reinhilde D’hulst, Bart De Moor
Pubblicato in: Sustainable Energy, Grids and Networks, Numero 41, 2025, Pagina/e 101622, ISSN 2352-4677
Editore: Elsevier Limited
DOI: 10.1016/j.segan.2025.101622

Explainable unsupervised anomaly detection for healthcare insurance data

Autori: Hannes De Meulemeester, Frank De Smet, Johan van Dorst, Elise Derroitte, Bart De Moor
Pubblicato in: BMC Medical Informatics and Decision Making, Numero 25, 2025, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1186/s12911-024-02823-6

Globally Optimal SISO H<sub>2</sub>-Norm Model Reduction Using Walsh’s Theorem

Autori: Sibren Lagauw; Oscar Mauricio Agudelo; Bart De Moor
Pubblicato in: IEEE Control Systems Letters, Numero 2023; Vol. 7;, 2023, Pagina/e 1670 - 1675, ISSN 2475-1456
Editore: IEEE
DOI: 10.1109/lcsys.2023.3276299

Building plug load mode detection, forecasting and scheduling

Autori: Lola Botman, Jesus Lago, Xiaohan Fu, Keaton Chia, Jesse Wolf, Jan Kleissl, Bart De Moor
Pubblicato in: Applied Energy, Numero 364, 2024, Pagina/e 123098, ISSN 0306-2619
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.apenergy.2024.123098

Recursive Algorithms to Update a Numerical Basis Matrix of the Null Space of the Block Row, (Banded) Block Toeplitz, and Block Macaulay Matrix

Autori: Christof Vermeersch; Bart De Moor
Pubblicato in: SIAM Journal on Scientific Computing, Numero 2023; Vol. 45; iss. 2, 2023, Pagina/e A596 - A620, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m1495858

Spatiochemical characterization of the pancreas using mass spectrometry imaging and topological data analysis

Autori: Derwae, H. ; Nijs, M. ; Geysels, A. ; Waelkens, E. ; De Moor, B.
Pubblicato in: Analytical Chemistry, Numero 2023; Vol. 95; iss. 28, 2023, ISSN 0003-2700
Editore: American Chemical Society
DOI: 10.1021/acs.analchem.2c05606

Gradient boosted trees with individual explanations : an alternative to logistic regression for viability prediction in the first trimester of pregnancy.

Autori: T. Vaulet; Maya Al-Memar; H. Fourie; Shabnam Bobdiwala; Srdjan Saso; Maria Pipi; Catriona Stalder; Phillip R. Bennett; Dirk Timmerman; Tom Bourne; Bart De Moor
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 2022; Vol. 213, 2022, ISSN 0169-2607
Editore: Elsevier BV
DOI: 10.1016/j.cmpb.2021.106520

Data-driven derivation and validation of novel phenotypes for acute kidney transplant rejection using semi-supervised clustering

Autori: Vaulet, Thibaut ; Divard, G ; Thaunat, O ; Lerut, E ; Senev, A ; Aubert, O ; Van Loon, E ; Callemeyn, J ; Van Craenenbroeck, A ; De Vusser, K ; Sprangers, B ; Rabeyrin, M ; Dubois, V ; Kuypers, D ; De Vos, M ; Loupy, A ; De Moor, B ; Naesens, M
Pubblicato in: Journal Of The American Society Of Nephrology;, Numero 2021; Vol. 32; iss. 3;, 2021, ISSN 1046-6673
Editore: Lippincott Williams & Wilkins Ltd.
DOI: 10.1681/asn.2020101418

Target Informed Client Recruitment for Efficient Federated Learning in Healthcare

Autori: Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Pubblicato in: Bmc Medical Informatics And Decision Making, 2024, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.21203/rs.3.rs-3825499/v1

Least Squares Projection Onto the Behavior for SISO LTI Models

Autori: S. Lagauw, B. De Moor
Pubblicato in: IFAC-PapersOnLine, Numero 58, 2024, Pagina/e 336-341, ISSN 2405-8963
Editore: Elsevier BV
DOI: 10.1016/j.ifacol.2024.08.551

Decomposition-Residuals Neural Networks: Hybrid system identification applied to electricity demand forecasting

Autori: Theodorakos, K ; Agudelo Manozca, Oscar ; Espinoza, Marcelo ; De Moor, Bart
Pubblicato in: IEEE Open Access Journal of Power and Energy, Numero 2022; Vol. 9, 2022, Pagina/e 241 - 253, ISSN 2687-7910
Editore: IEEE
DOI: 10.1109/oajpe.2022.3145520

Hierarchical Biclustering of Mouse Pancreas Mass Spectrometry Imaging Data Using Recursive Rank-2 Non-negative Matrix Factorization

Autori: Melanie Nijs, Etienne Waelkens, Bart De Moor
Pubblicato in: Journal of the American Society for Mass Spectrometry, Numero 35, 2024, Pagina/e 2934-2941, ISSN 1044-0305
Editore: Elsevier BV
DOI: 10.1021/jasms.4c00268

Constructing Multidimensional Difference Equations From a State-Space Representation Using the Generalized Cayley–Hamilton Theorem

Autori: Lukas Vanpoucke, Bart De Moor
Pubblicato in: IEEE Control Systems Letters, Numero 8, 2024, Pagina/e 2259-2264, ISSN 2475-1456
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/lcsys.2024.3411835

Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems

Autori: Usevich, K; Dreesen, P ; Ishteva, M
Pubblicato in: IFAC-PapersOnLine, Numero 2021; Vol. 54; iss. 7, 2021, Pagina/e 709 - 714, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2021.08.403

A Column Space Based Approach to Solve Systems of Multivariate Polynomial Equations

Autori: Vermeersch, Christof ; De Moor, B
Pubblicato in: IFAC-PapersOnLine, Special Numero: 24th International Symposium on Mathematical Theory of Networks and Systems MTNS 2020: Cambridge, United Kingdom,, Numero 2021; Vol. 54, no. 9, 2021
Editore: IFAC Secretariat
DOI: 10.1016/j.ifacol.2021.06.144

Data-driven simulation for NARX systems

Autori: Mishra, V; Fazzi, A; Markovsky, I; Dreesen, P
Pubblicato in: Proceedings of 29th European Signal Processing Conference (EUSIPCO), Numero 2021, 2021, Pagina/e 1055 - 1059, ISBN 978-9-0827-9706-0
Editore: EURASIP
DOI: 10.23919/eusipco54536.2021.9616226

Globally Optimal H2-norm Model Order Reduction: A Numerical Linear Algebra Approach

Autori: Agudelo Manozca, Oscar Mauricio ; Vermeersch, Christof ; De Moor, Bart
Pubblicato in: IFAC-PapersOnLine, Special Numero: 24th International Symposium on Mathematical Theory of Networks and Systems MTNS 2020: Cambridge, United Kingdom,, Numero 2021; Vol. 54, no. 9, 2021, Pagina/e pp. 564 - 571
Editore: IFAC Secretariat
DOI: 10.1016/j.ifacol.2021.06.117

Parameter estimation of parallel Wiener-Hammerstein Systems by Decoupling their Volterra Representations

Autori: Dreesen, Philippe; Ishteva, M
Pubblicato in: IFAC-PapersOnLine, Numero 2021; Vol. 54; iss. 7,, 2021, ISSN 2405-8963
Editore: Elsevier Ltd
DOI: 10.1016/j.ifacol.2021.08.402

Multivariate Polynomial Optimization in Complex Variables Is a (Rectangular) Multiparameter Eigenvalue Problem

Autori: Christof Vermeersch, Sibren Lagauw, Bart De Moor
Pubblicato in: Proc. Of the 62nd Conference on Decision and Control (CDC), 2023
Editore: Conference on Decision and Control

Exploiting the Macaulay matrix structure for the globally optimal identification of autonomous systems

Autori: Vanpoucke, L; Lagauw, S; De Moor, Bart
Pubblicato in: Proceedings of ESANN; 2024, 2024
Editore: ESANN

Globally optimal misfit identification of multidimensional difference equations

Autori: Vanpoucke, Lukas; De Moor, Bart
Pubblicato in: 31st ERNSI Workshop in System Identification (ERNSI 23), 2023
Editore: KU Leuven

Multimodal Deep Learning for Early Length of Stay Prediction using Patient Similarity Embeddings

Autori: Vandenberghe, A. ; Wamba Momo, L. ; Scheltjens, V. ; De Moor, B.
Pubblicato in: Proc. of BNAIC/BeNeLearn, Numero 2022;, 2022
Editore: KU Leuven

Duality in Multi-View Restricted Kernel Machines

Autori: Achten, S. ; Pandey, A. ; De Meulemeester, H. ; De Moor, B. ; Suykens, J.
Pubblicato in: Proceedings of ICML, Numero 2023, 2023
Editore: ICML

Exploring the Critical Values of Multivariate Polynomial Optimization Problems in System Identification Applications

Autori: van Rooij, Hans; De Cock, Katrien; De Moor, Bart
Pubblicato in: 31st ERNSI Workshop in System Identification (ERNSI 23), 2023
Editore: KU Leuven

Multiparameter Eigenvalue Problems and Shift-invariance

Autori: De Cock, Katrien ; De Moor, Bart
Pubblicato in: IFAC-PapersOnLine, Special Numero: 24th International Symposium on Mathematical Theory of Networks and Systems MTNS 2020: Cambridge, United Kingdom,, Numero 2021; Vol. 54, no. 9, 2021, ISSN 2405-8963
Editore: Elsevier
DOI: 10.1016/j.ifacol.2021.06.071

Data-driven chronic allograft phenotypes : A novel and validated complement for histologic assessment of kidney transplant biopsies'

Autori: Theodorakos, Konstantinos; Agudelo Manozca, Oscar Maurico; Schreurs, J; Suykens, Johan; De Moor, Bart
Pubblicato in: Proceedings of BNAIC/BeNeLearn 2022, Numero 2022, 2022
Editore: BeNeLearn

A Framework for a Data Quality Module in Decision Support Systems: An Application with Smart Grid Time Series

Autori: Giulia Rinaldi, Fernando Crema Garcia, Oscar Agudelo, Thijs Becker, Koen Vanthournout, Willem Mestdagh, Bart De Moor
Pubblicato in: Proceedings of the 25th International Conference on Enterprise Information Systems, 2023, Pagina/e 443-452
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0011749700003467

Client Recruitment for Federated Learning in ICU Length of Stay Prediction

Autori: Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor
Pubblicato in: 2023 IEEE 19th International Conference on e-Science (e-Science), 2023, Pagina/e 1-9
Editore: IEEE
DOI: 10.1109/e-science58273.2023.10254908

System Identification Problems as Multiparameter Eigenvalue Problems

Autori: Vermeersch, C; De Moor, Bart
Pubblicato in: 30th ERNSI Workshop in System Identification (ERNSI 2022), Numero 2022, 2022
Editore: KU Leuven

Globally optimal SISO H2-norm model reduction

Autori: Lagauw, Sibren; De Moor, Bart
Pubblicato in: 42nd Benelux Meeting on Systems and Control, 2023/03/21 - 2023/03/23,, 2023
Editore: KU Leuven

Two-dimensional descriptor systems

Autori: Vergauwen, Bob ; De Moor, Bart
Pubblicato in: IFAC-PapersOnLine, Special Numero: 24th International Symposium on Mathematical Theory of Networks and Systems MTNS 2020: Cambridge, United Kingdom,, Numero 2021; Vol. 54, no. 9, 2021
Editore: IFAC Secretariat
DOI: 10.1016/j.ifacol.2021.06.070

Recurrent Restricted Kernel Machines for Time-series Forecasting

Autori: Pandey, A; De Meulemeester, H; De Plaen, H; De Moor, B; Suykens, Johan
Pubblicato in: Proceedings of ESANN 2022, Numero 2022;, 2022
Editore: ESANN

The (Block) Macaulay Matrix: Solving Systems of Multivariate Polynomial Equations and Multiparameter Eigenvalue Problems

Autori: Christof Vermeersch
Pubblicato in: 2023
Editore: KU Leuven

The Bures Metric for Generative Adversarial Networks

Autori: De Meulemeester, Hannes; Schreurs, Joachim; Fanuel, Michaël; De Moor, Bart; Suykens, Johan A. K.
Pubblicato in: Lecture Notes in Computer Science - Machine Learning and Knowledge Discovery in Databases. Research Track, Numero 9, 2021
Editore: Springer Verlag
DOI: 10.48550/arxiv.2006.09096

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks

Autori: Schreurs, Joachim ; De Meulemeester, H ; Fanuel, M ; De Moor, B ; Suykens, J
Pubblicato in: Lecture Notes in Computer Science, Numero 2022; Vol. 13164, 2021, ISBN 978-3-030-95469-7
Editore: Springer
DOI: 10.1007/978-3-030-95470-3_35

Solving Systems of Polynomial Equations - A Tensor Approach

Autori: Ishteva, M; Dreesen, P
Pubblicato in: Lecture Notes in Computer Science, Numero 2022; Vol. 13127, 2021, Pagina/e 333 - 341, ISBN 978-3-030-97548-7
Editore: Springer
DOI: 10.1007/978-3-030-97549-4_38

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