Pau Bofill

According to our database, Pau Bofill authored at least 12 papers between 1989 and 2012.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2012

The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges.

Emmanuel Vincent, Shoko Araki, Fabian J. Theis, Guido Nolte, Pau Bofill, Hiroshi Sawada, Alexey Ozerov, Vikrham Gowreesunker, Dominik Lutter, Ngoc Q. K. Duong

Signal Process., 2012

2009

The 2008 Signal Separation Evaluation Campaign: A Community-Based Approach to Large-Scale Evaluation.

Emmanuel Vincent, Shoko Araki, Pau Bofill

Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008

Identifying Single Source Data for Mixing Matrix Estimation in Instantaneous Blind Source Separation.

Pau Bofill

Proceedings of the Artificial Neural Networks, 2008

2007

First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results.

Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoji Makino, Justinian P. Rosca

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Underdetermined Convoluted Source Reconstruction Using LP and SOCP, and a Neural Approximator of the Optimizer.

Pau Bofill, Enric Monte

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Towards underdetermined source reconstruction from a clap-and-play binaural live recording.

Pau Bofill, Enric Monte

Proceedings of the 14th European Signal Processing Conference, 2006

2003

Comparison of simulated annealing and mean field annealing as applied to the generation of block designs.

Pau Bofill, Roger Guimerà, Carme Torras

Neural Networks, 2003

Underdetermined blind separation of delayed sound sources in the frequency domain.

Pau Bofill

Neurocomputing, 2003

2001

Underdetermined blind source separation using sparse representations.

Pau Bofill, Michael Zibulevsky

Signal Process., 2001

Neural Cost Functions and Search Strategies for the Generation of Block Designs: An Experimental Evaluation.

Pau Bofill, Carme Torras

Int. J. Neural Syst., 2001

1993

Higher-Order Networks for the Optimization of Block Designs.

Pau Bofill, Carme Torras

Proceedings of the New Trends in Neural Computation, 1993

1989

Learning by Back-Propagation: Computing in a Systolic Way.

José del R. Millán, Pau Bofill

Proceedings of the PARLE '89: Parallel Architectures and Languages Europe, 1989