Visualization of neural networks using saliency maps. - Niels J. S. Mørch; Ulrik Kjems; Lars Kai Hansen; Claus Svarer; Ian Law; Benny Lautrup; Stephen C. Strother; Kelly Rehm (ICNN, 1995)

Revisiting Boltzmann learning: parameter estimation in Markov random fields. - Lars Kai Hansen; Lars Nonboe Andersen; Ulrik Kjems; Jan Larsen (ICASSP, 1996)

Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. - Ulrik Kjems; Stephen C. Strother; Jon R. Anderson; Ian Law; Lars Kai Hansen (IEEE Trans. Medical Imaging, 1999)

Modeling text with generalizable Gaussian mixtures. - Lars Kai Hansen; Sigurdur Sigurdsson; Thomas Kolenda; Finn Årup Nielsen; Ulrik Kjems; Jan Larsen (ICASSP, 2000)

Generalizable Singular Value Decomposition for Ill-posed Datasets. - Ulrik Kjems; Lars Kai Hansen; Stephen C. Strother (NIPS, 2000)

The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves. - Ulrik Kjems; Lars Kai Hansen; Jon R. Anderson; Sally Frutiger; Suraj Muley; John J. Sidtis; David A. Rottenberg; Stephen C. Strother (NeuroImage, 2002)

The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework. - Stephen C. Strother; Jon R. Anderson; Lars Kai Hansen; Ulrik Kjems; Rafal Kustra; John J. Sidtis; Sally Frutiger; Suraj Muley; Stephen LaConte; David A. Rottenberg (NeuroImage, 2002)

Semi-blind source separation using head-related transfer functions [speech signal separation]. - Michael Syskind Pedersen; Ulrik Kjems; Karsten Boye Rasmussen; Lars Kai Hansen (ICASSP (5), 2004)

On the difference between updating the mixing matrix and updating the separation matrix. - Michael Syskind Pedersen; Ulrik Kjems; Jan Larsen (ICASSP (5), 2005)

Separating Underdetermined Convolutive Speech Mixtures. - Michael Pedersen; DeLiang Wang; Jan Larsen; Ulrik Kjems (ICA, 2006)

Pitch Based Sound Classification. - Andreas Brinch Nielsen; Lars Kai Hansen; Ulrik Kjems (ICASSP (3), 2006)

Two-Microphone Separation of Speech Mixtures. - Michael Syskind Pedersen; DeLiang Wang; Jan Larsen; Ulrik Kjems (IEEE Trans. Neural Networks, 2008)

Fast noise PSD estimation with low complexity. - Richard C. Hendriks; Richard Heusdens; Jesper Jensen 001; Ulrik Kjems (ICASSP, 2009)

An evaluation of objective quality measures for speech intelligibility prediction. - Cees H. Taal; Richard C. Hendriks; Richard Heusdens; Jesper Jensen 001; Ulrik Kjems (INTERSPEECH, 2009)

Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms. - Richard C. Hendriks; Richard Heusdens; Jesper Jensen 001; Ulrik Kjems (EURASIP J. Adv. Signal Process., 2009)

On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement. - Richard C. Hendriks; Richard Heusdens; Ulrik Kjems; Jesper Jensen 001 (IEEE Signal Process. Lett., 2009)

Speech intelligibility of ideal binary masked mixtures. - Ulrik Kjems; Michael Syskind Pedersen; Jesper Bünsow Boldt; Thomas Lunner; DeLiang Wang (EUSIPCO, 2010)

Error-correction of binary masks using hidden Markov models. - Jesper Bünsow Boldt; Michael Syskind Pedersen; Ulrik Kjems; Mads Græsbøll Christensen; Søren Holdt Jensen (ICASSP, 2010)

Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement. - Ulrik Kjems; Jesper Jensen 001 (EUSIPCO, 2012)