Marco Signoretto

Publication Activity (10 Years)

Years Active: 2008-2014
Publications (10 Years): 0

Top Venues

CoRR

ESANN

IEEE Trans. Speech Audio Process.

Mach. Learn.

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Andreas Argyriou, Marco Signoretto, Johan A. K. Suykens
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization. CoRR (2014)
Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens
Learning with tensors: a framework based on convex optimization and spectral regularization. Mach. Learn. 94 (3) (2014)
Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens
High level high performance computing for multitask learning of time-varying models. CIBD (2014)
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties. CoRR (2013)
Marco Signoretto, Johan A. K. Suykens
DynOpt: Incorporating dynamics into mean-variance portfolio optimization. CIFEr (2013)
Jose Manuel Gil-Cacho, Marco Signoretto, Toon van Waterschoot, Marc Moonen, Søren Holdt Jensen
Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm. IEEE Trans. Speech Audio Process. 21 (9) (2013)
Borbála Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos
Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. PRNI (2013)
Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
Joint Regression and Linear Combination of Time Series for Optimal Prediction. ESANN (2012)
Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
Classification of Multichannel Signals With Cumulant-Based Kernels. IEEE Trans. Signal Process. 60 (5) (2012)
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
A kernel-based framework to tensorial data analysis. Neural Networks 24 (8) (2011)
Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel
Automatic Seizure Detection Incorporating Structural Information. ICANN (1) (2011)
Marco Signoretto, Raf Van de Plas, Bart De Moor, Johan A. K. Suykens
Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data. IEEE Signal Process. Lett. 18 (7) (2011)
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. ICANN (2) (2010)
Fabian Ojeda, Marco Signoretto, Raf Van de Plas, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens
Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging. PRIB (2010)
Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens
Improved non-parametric sparse recovery with data matched penalties. CIP (2010)
Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. ICANN (1) (2008)

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Publication Activity (10 Years)

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Marco Signoretto