Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation. - Marco Signoretto; Kristiaan Pelckmans; Johan A. K. Suykens (ICANN (1), 2008)

Improved non-parametric sparse recovery with data matched penalties. - Marco Signoretto; Kristiaan Pelckmans; Lieven De Lathauwer; Johan A. K. Suykens (CIP, 2010)

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (ICANN (2), 2010)

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging. - Fabian Ojeda; Marco Signoretto; Raf Van de Plas; Etienne Waelkens; Bart De Moor; Johan A. K. Suykens (PRIB, 2010)

Automatic Seizure Detection Incorporating Structural Information. - Borbála Hunyadi; Maarten De Vos; Marco Signoretto; Johan A. K. Suykens; Wim Van Paesschen; Sabine Van Huffel (ICANN (1), 2011)

A kernel-based framework to tensorial data analysis. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (Neural Networks, 2011)

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data. - Marco Signoretto; Raf Van de Plas; Bart De Moor; Johan A. K. Suykens (IEEE Signal Process. Lett., 2011)

Kernels and Tensors for Structured Data Modelling (Kernels en tensoren voor het modelleren van gestructureerde data). - Marco Signoretto (2011)

Joint Regression and Linear Combination of Time Series for Optimal Prediction. - Dries Geebelen; Kim Batselier; Philippe Dreesen; Marco Signoretto; Johan A. K. Suykens; Bart De Moor; Joos Vandewalle (ESANN, 2012)

Classification of Multichannel Signals With Cumulant-Based Kernels. - Marco Signoretto; Emanuele Olivetti; Lieven De Lathauwer; Johan A. K. Suykens (IEEE Trans. Signal Process., 2012)

DynOpt: Incorporating dynamics into mean-variance portfolio optimization. - Marco Signoretto; Johan A. K. Suykens (CIFEr, 2013)

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification. - Borbála Hunyadi; Marco Signoretto; Stefan Debener; Sabine Van Huffel; Maarten De Vos (PRNI, 2013)

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties. - Marco Signoretto; Lieven De Lathauwer; Johan A. K. Suykens (CoRR, 2013)

Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm. - Jose Manuel Gil-Cacho; Marco Signoretto; Toon van Waterschoot; Marc Moonen; Søren Holdt Jensen (IEEE Trans. Speech Audio Process., 2013)

High level high performance computing for multitask learning of time-varying models. - Marco Signoretto; Emanuele Frandi; Zahra Karevan; Johan A. K. Suykens (CIBD, 2014)

Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization. - Andreas Argyriou; Marco Signoretto; Johan A. K. Suykens (CoRR, 2014)

Learning with tensors: a framework based on convex optimization and spectral regularization. - Marco Signoretto; Dinh Quoc Tran; Lieven De Lathauwer; Johan A. K. Suykens (Mach. Learn., 2014)

Kernel Methods. - Marco Signoretto; Johan A. K. Suykens (Handbook of Computational Intelligence, 2015)