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Incorporating structural information from the multichannel EEG improves patient-specific seizure detection

Clinical neurophysiology, 2012-12, Vol.123 (12), p.2352-2361

2012

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Regularization, Optimization, Kernels, and Support Vector Machines

1st, 2015

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Improved microarray-based decision support with graph encoded interactome data

PloS one, 2010-04, Vol.5 (4), p.e10225-e10225

2010

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Learning with tensors: a framework based on convex optimization and spectral regularization

Machine learning, 2014-03, Vol.94 (3), p.303-351

2014

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A kernel-based framework to tensorial data analysis

Neural networks, 2011-10, Vol.24 (8), p.861-874

2011

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Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

IEEE signal processing letters, 2011-07, Vol.18 (7), p.403-406

2011

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Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm

IEEE transactions on audio, speech, and language processing, 2013-09, Vol.21 (9), p.1867-1878

2013

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Classification of Multichannel Signals With Cumulant-Based Kernels

IEEE transactions on signal processing, 2012-05, Vol.60 (5), p.2304-2314

2012

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A kernel-based framework to tensorial data analysis: Artificial Neural Networks: Selected papers from ICANN 2010

Neural networks, 2011, Vol.24 (8), p.861-874

2011

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The Why and How of Nonnegative Matrix Factorization

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.275-310

2015

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Automatic Seizure Detection Incorporating Structural Information

Artificial Neural Networks and Machine Learning – ICANN 2011, p.233-240

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Kernel-Based Learning from Infinite Dimensional 2-Way Tensors

Artificial Neural Networks – ICANN 2010, p.59-69

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Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation

Artificial Neural Networks - ICANN 2008, p.175-184

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Hybrid Conditional Gradient-Smoothing Algorithms with Applications to Sparse and Low Rank Regularization

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.71-100

2015

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High level high performance computing for multitask learning of time-varying models

2014 IEEE Symposium on Computational Intelligence in Big Data (CIBD), 2014, p.1-6

2014

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Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging

Pattern Recognition in Bioinformatics, p.325-334

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An Equivalence between the Lasso and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.19-44

2015

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DynOpt: Incorporating dynamics into mean-variance portfolio optimization

2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2013, p.48-54

2013

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Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification

2013 International Workshop on Pattern Recognition in Neuroimaging, 2013, p.98-101

2013

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Learning Constrained Task Similarities in Graph-Regularized Multi-Task Learning

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.121-148

2015

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Multi-Layer Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.475-494

2015

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Nonconvex Proximal Splitting with Computational Errors Suvrit Sra

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.101-120

2015

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Single-Source Domain Adaptation with Target and Conditional Shift Kun Zhang, Bernhard Schölkopf, Krikamol Muandet, Zhikun Wang

Regularization, Optimization, Kernels, and Support Vector Machines, 2015, p.445-474

2015

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Single-Source Domain Adaptation with Target and Conditional Shift

Regularization, Optimization, Kernels, and Support Vector Machines, 2014

2014

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Nonconvex Proximal Splitting with Computational Errors

Regularization, Optimization, Kernels, and Support Vector Machines, 2014

2014

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Incorporating structural information from the multichannel EEG improves patient-specific seizure detection

Regularization, Optimization, Kernels, and Support Vector Machines

Improved microarray-based decision support with graph encoded interactome data

Learning with tensors: a framework based on convex optimization and spectral regularization

A kernel-based framework to tensorial data analysis

Tensor Versus Matrix Completion: A Comparison With Application to Spectral Data

Nonlinear Acoustic Echo Cancellation Based on a Sliding-Window Leaky Kernel Affine Projection Algorithm

Classification of Multichannel Signals With Cumulant-Based Kernels

A kernel-based framework to tensorial data analysis: Artificial Neural Networks: Selected papers from ICANN 2010

The Why and How of Nonnegative Matrix Factorization

Automatic Seizure Detection Incorporating Structural Information

Kernel-Based Learning from Infinite Dimensional 2-Way Tensors

Quadratically Constrained Quadratic Programming for Subspace Selection in Kernel Regression Estimation

Hybrid Conditional Gradient-Smoothing Algorithms with Applications to Sparse and Low Rank Regularization

High level high performance computing for multitask learning of time-varying models

Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging

An Equivalence between the Lasso and Support Vector Machines

DynOpt: Incorporating dynamics into mean-variance portfolio optimization

Classification of Structured EEG Tensors Using Nuclear Norm Regularization: Improving P300 Classification

Learning Constrained Task Similarities in Graph-Regularized Multi-Task Learning

Multi-Layer Support Vector Machines

Nonconvex Proximal Splitting with Computational Errors Suvrit Sra

Single-Source Domain Adaptation with Target and Conditional Shift Kun Zhang, Bernhard Schölkopf, Krikamol Muandet, Zhikun Wang

Single-Source Domain Adaptation with Target and Conditional Shift

Nonconvex Proximal Splitting with Computational Errors

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