An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA - Gwenevere Frank; Seyed Yahya Shirazi; Jason A. Palmer; Gert Cauwenberghs; Scott Makeig; Arnaud Delorme (23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023, Dayton, OH, USA, December 4-6, 2023, 2023)

Modeling brain dynamic state changes with adaptive mixture independent component analysis - Sheng-Hsiou Hsu; Luca Pion-Tonachini; Jason A. Palmer; Makoto Miyakoshi; Scott Makeig; Tzyy-Ping Jung (NeuroImage, 2018)

The linear process mixture model - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013, Southampton, United Kingdom, September 22-25, 2013, 2013)

Contrast Functions for Independent Subspace Analysis - Jason A. Palmer; Scott Makeig (Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings, 2012)

Electrocortical source imaging of intracranial EEG data in epilepsy - Zeynep Akalin Acar; Jason A. Palmer; Gregory A. Worrell; Scott Makeig (33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, Boston, MA, USA, August 30 - Sept. 3, 2011, 2011)

Strong Sub- and Super-Gaussianity - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings, 2010)

A complex cross-spectral distribution model using Normal Variance Mean Mixtures - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 2009)

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (Independent Component Analysis and Signal Separation, 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009. Proceedings, 2009)

Newton method for the ICA mixture model - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado; Bhaskar D. Rao (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, 2008)

Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities - Jason A. Palmer; Kenneth Kreutz-Delgado; Bhaskar D. Rao; Scott Makeig (Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, 2007)

Performance Evaluation of Latent Variable Models with Sparse Priors - David P. Wipf; Jason A. Palmer; Bhaskar D. Rao; Kenneth Kreutz-Delgado (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007, 2007)

Super-Gaussian Mixture Source Model for ICA - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings, 2006)

Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization - David P. Wipf; Rey Ramírez; Jason A. Palmer; Scott Makeig; Bhaskar D. Rao (Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006, 2006)

Variational EM Algorithms for Non-Gaussian Latent Variable Models - Jason A. Palmer; David P. Wipf; Kenneth Kreutz-Delgado; Bhaskar D. Rao (Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005)

Subset selection in noise based on diversity measure minimization - Bhaskar D. Rao; Kjersti Engan; Shane F. Cotter; Jason A. Palmer; Kenneth Kreutz-Delgado (IEEE Trans. Signal Process., 2003)

Perspectives on Sparse Bayesian Learning - David P. Wipf; Jason A. Palmer; Bhaskar D. Rao (Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003)