Marco Signoretto

18 papers B 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2015 — ch.
Kernel Methods.
Handbook of Computational Intelligence
Marco Signoretto, Johan A. K. Suykens
2014 — conf
High level high performance computing for multitask learning of time-varying models.
CIBD
Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens
2014 J jnl
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization.
CoRR
Andreas Argyriou, Marco Signoretto, Johan A. K. Suykens
2014 J jnl
Learning with tensors: a framework based on convex optimization and spectral regularization.
Mach. Learn.
Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens
2013 — conf
Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification.
PRNI
Borbála Hunyadi, Marco Signoretto, Stefan Debener, Sabine Van Huffel, Maarten De Vos
2013 — conf
DynOpt: Incorporating dynamics into mean-variance portfolio optimization.
CIFEr
Marco Signoretto, Johan A. K. Suykens
2013 J jnl
Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties.
CoRR
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2013 J jnl
Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm.
IEEE Trans. Speech Audio Process.
Jose Manuel Gil-Cacho, Marco Signoretto, Toon van Waterschoot, Marc Moonen, Søren Holdt Jensen
2012 J jnl
Classification of Multichannel Signals With Cumulant-Based Kernels.
IEEE Trans. Signal Process.
Marco Signoretto, Emanuele Olivetti, Lieven De Lathauwer, Johan A. K. Suykens
2012 B conf
Joint Regression and Linear Combination of Time Series for Optimal Prediction.
ESANN
Dries Geebelen, Kim Batselier, Philippe Dreesen, Marco Signoretto, Johan A. K. Suykens, Bart De Moor, Joos Vandewalle
2011 J jnl
A kernel-based framework to tensorial data analysis.
Neural Networks
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2011 — conf
Automatic Seizure Detection Incorporating Structural Information.
ICANN (1)
Borbála Hunyadi, Maarten De Vos, Marco Signoretto, Johan A. K. Suykens, Wim Van Paesschen, Sabine Van Huffel
2011 — —
Kernels and Tensors for Structured Data Modelling (Kernels en tensoren voor het modelleren van gestructureerde data).
Marco Signoretto
2011 J jnl
Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data.
IEEE Signal Process. Lett.
Marco Signoretto, Raf Van de Plas, Bart De Moor, Johan A. K. Suykens
2010 — conf
Improved non-parametric sparse recovery with data matched penalties.
CIP
Marco Signoretto, Kristiaan Pelckmans, Lieven De Lathauwer, Johan A. K. Suykens
2010 — conf
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors.
ICANN (2)
Marco Signoretto, Lieven De Lathauwer, Johan A. K. Suykens
2010 — conf
Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging.
PRIB
Fabian Ojeda, Marco Signoretto, Raf Van de Plas, Etienne Waelkens, Bart De Moor, Johan A. K. Suykens
2008 — conf
Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation.
ICANN (1)
Marco Signoretto, Kristiaan Pelckmans, Johan A. K. Suykens