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Multiparameter Eigenvalue Problems and Shift-invariance

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Updated at: 01-08-2024

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Two-dimensional descriptor systems

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Project acronym Back to the Roots

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

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Updated at: 01-08-2024

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Project acronym Back to the Roots

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

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Updated at: 01-08-2024

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

Project: Back to the Roots

Updated at: 01-08-2024

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Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks

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Updated at: 01-08-2024

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Project acronym Back to the Roots

Cepstral Identification of Autoregressive Systems

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Updated at: 01-08-2024

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Project acronym Back to the Roots

A scalable ensemble approach to forecast the electricity consumption of households

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Updated at: 01-08-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Duality in Multi-View Restricted Kernel Machines

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Updated at: 27-04-2024

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Project acronym Back to the Roots

Gradient boosted trees with individual explanations : an alternative to logistic regression for viability prediction in ...

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Data-driven chronic allograft phenotypes : A novel and validated complement for histologic assessment of kidney transpla...

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Exploiting Shift-Invariant Subspaces

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Connection Between DTLS as an MEVP and as a Riemannian SVD

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Recurrent Restricted Kernel Machines for Time-series Forecasting

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Updated at: 27-04-2024

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Project acronym Back to the Roots

System Identification Problems as Multiparameter Eigenvalue Problems

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Globally optimal SISO H2-norm model reduction

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

System Identification Problems as Multiparameter Eigenvalue Problems

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Solving Systems of Polynomial Equations - A Tensor Approach

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

Globally optimal least-squares misfit identification of multidimensional autonomous systems

Project: Back to the Roots

Updated at: 27-04-2024

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Subspace Methods for the Block Macaulay Matrix Framework

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Updated at: 27-04-2024

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About (Rectangular) Multiparameter Eigenvalue Problems

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Updated at: 27-04-2024

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Periodic Reporting for period 2 - Back to the Roots (Back to the roots of data-driven dynamical system identification)

Project: Back to the Roots

Updated at: 27-04-2024

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Project acronym Back to the Roots

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Multiparameter Eigenvalue Problems and Shift-invariance

Two-dimensional descriptor systems

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

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

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

Leverage Score Sampling for Complete Mode Coverage in Generative Adversarial Networks

Cepstral Identification of Autoregressive Systems

A scalable ensemble approach to forecast the electricity consumption of households

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

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

Duality in Multi-View Restricted Kernel Machines

Gradient boosted trees with individual explanations : an alternative to logistic regression for viability prediction in ...

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

Data-driven chronic allograft phenotypes : A novel and validated complement for histologic assessment of kidney transpla...

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

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

Exploiting Shift-Invariant Subspaces

Connection Between DTLS as an MEVP and as a Riemannian SVD

Recurrent Restricted Kernel Machines for Time-series Forecasting

System Identification Problems as Multiparameter Eigenvalue Problems

Globally optimal SISO H2-norm model reduction

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

System Identification Problems as Multiparameter Eigenvalue Problems

Solving Systems of Polynomial Equations - A Tensor Approach

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

An ensemble-based feature selection framework to select risk factors of childhood obesity for policy decision making

Globally optimal least-squares misfit identification of multidimensional autonomous systems

Subspace Methods for the Block Macaulay Matrix Framework

About (Rectangular) Multiparameter Eigenvalue Problems

Periodic Reporting for period 2 - Back to the Roots (Back to the roots of data-driven dynamical system identification)