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Kenneth Kreutz-Delgado - Publications

Affiliations: 
Electrical Engineering (Intelsys, Robotics and Cont) University of California, San Diego, La Jolla, CA 
Area:
Electronics and Electrical Engineering
Website:
https://jacobsschool.ucsd.edu/people/profile/kenneth-kreutz-delgado
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34 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Pion-Tonachini L, Kreutz-Delgado K, Makeig S. The ICLabel dataset of electroencephalographic (EEG) independent component (IC) features. Data in Brief. 25: 104101. PMID 31294058 DOI: 10.1016/J.Dib.2019.104101  0.31
2019 Pion-Tonachini L, Kreutz-Delgado K, Makeig S. ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. Neuroimage. PMID 31103785 DOI: 10.1016/J.Neuroimage.2019.05.026  0.351
2018 Martinez-Cancino R, Heng J, Delorme A, Kreutz-Delgado K, Sotero RC, Makeig S. Measuring transient phase-amplitude coupling using local mutual information. Neuroimage. PMID 30342235 DOI: 10.1016/J.Neuroimage.2018.10.034  0.348
2018 Chen CF, Kreutz-Delgado K, Sereno MI, Huang RS. Unraveling the spatiotemporal brain dynamics during a simulated reach-to-eat task. Neuroimage. PMID 30315910 DOI: 10.1016/J.Neuroimage.2018.10.028  0.317
2018 Ojeda A, Kreutz-Delgado K, Mullen T. Fast and robust Block-Sparse Bayesian learning for EEG source imaging. Neuroimage. PMID 29596978 DOI: 10.1016/J.Neuroimage.2018.03.048  0.37
2017 Pion-Tonachini L, Makeig S, Kreutz-Delgado K. Crowd labeling latent Dirichlet allocation. Knowledge and Information Systems. 53: 749-765. PMID 30416242 DOI: 10.1007/S10115-017-1053-1  0.304
2017 Chen CF, Kreutz-Delgado K, Sereno MI, Huang RS. Validation of periodic fMRI signals in response to wearable tactile stimulation. Neuroimage. PMID 28193488 DOI: 10.1016/J.Neuroimage.2017.02.024  0.321
2016 Pedroni BU, Das S, Arthur JV, Merolla PA, Jackson BL, Modha DS, Kreutz-Delgado K, Cauwenberghs G. Mapping Generative Models onto a Network of Digital Spiking Neurons. Ieee Transactions On Biomedical Circuits and Systems. PMID 27214915 DOI: 10.1109/Tbcas.2016.2539352  0.315
2014 Balkan O, Bigdely-Shamlo N, Kreutz-Delgado K, Makeig S. Basis selection for maximally independent EEG sources. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6639-42. PMID 25571518 DOI: 10.1109/EMBC.2014.6945150  0.703
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Kothe C, Makeig S. EyeCatch: data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 5845-8. PMID 24111068 DOI: 10.1109/EMBC.2013.6610881  0.69
2013 Burns MD, Bigdely-Shamlo N, Smith NJ, Kreutz-Delgado K, Makeig S. Comparison of averaging and regression techniques for estimating Event Related Potentials. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2013: 1680-3. PMID 24110028 DOI: 10.1109/EMBC.2013.6609841  0.697
2013 Bigdely-Shamlo N, Mullen T, Kreutz-Delgado K, Makeig S. Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inference. Neuroimage. 72: 287-303. PMID 23370059 DOI: 10.1016/J.Neuroimage.2013.01.040  0.717
2013 Palmer JA, Kreutz-Delgado K, Makeig S. The linear process mixture model Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. DOI: 10.1109/MLSP.2013.6661925  0.47
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Kothe C, Makeig S. Towards an EEG search engine 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 25-28. DOI: 10.1109/GlobalSIP.2013.6736802  0.645
2013 Bigdely-Shamlo N, Kreutz-Delgado K, Robbins K, Miyakoshi M, Westerfield M, Bel-Bahar T, Kothe C, Hsi J, Makeig S. Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 1-4. DOI: 10.1109/GlobalSIP.2013.6736796  0.671
2012 Makeig S, Kothe C, Mullen T, Bigdely-Shamlo N, Zhang Z, Kreutz-Delgado K. Evolving signal processing for brain-computer interfaces Proceedings of the Ieee. 100: 1567-1584. DOI: 10.1109/JPROC.2012.2185009  0.65
2010 Palmer JA, Kreutz-Delgado K, Makeig S. Strong sub- and super-Gaussianity Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6365: 303-310. DOI: 10.1007/978-3-642-15995-4_38  0.422
2009 Levasseur C, Mayer UF, Kreutz-Delgado K. Classifying non-gaussian and mixed data sets in their natural parameter space Machine Learning For Signal Processing Xix - Proceedings of the 2009 Ieee Signal Processing Society Workshop, Mlsp 2009. DOI: 10.1109/MLSP.2009.5306227  0.668
2009 Palmer JA, Makeig S, Kreutz-Delgado K. A complex cross-spectral distribution model using normal variance mean mixtures Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3569-3572. DOI: 10.1109/ICASSP.2009.4960397  0.466
2009 Palmer JA, Kreutz-Delgado K, Makeig S. Probabilistic formulation of independent vector analysis using complex gaussian scale mixtures Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5441: 90-97. DOI: 10.1007/978-3-642-00599-2_12  0.457
2008 Kreutz-Delgado K, Isukapalli Y. Use of the Newton method for blind adaptive equalization based on the constant modulus algorithm Ieee Transactions On Signal Processing. 56: 3983-3995. DOI: 10.1109/Tsp.2008.925247  0.317
2008 Levasseur C, Burdge B, Kreutz-Delgado K, Mayer UF. A unifying viewpoint of some clustering techniques using Bregman divergences and extensions to mixed data sets Proceedings of 11th International Conference On Computer and Information Technology, Iccit 2008. 56-63. DOI: 10.1109/ICCITECHN.2008.4803110  0.655
2008 Palmer JA, Makeig S, Kreutz-Delgado K, Rao BD. Newton method for the ica mixture model Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1805-1808. DOI: 10.1109/ICASSP.2008.4517982  0.466
2007 Palmer JA, Kreutz-Delgado K, Rao BD, Makeig S. Modeling and estimation of dependent subspaces with non-radially symmetric and skewed densities Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4666: 97-104.  0.457
2006 Palmer JA, Kreutz-Delgado K, Makeig S. Super-Gaussian mixture source model for ICA Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3889: 854-861. DOI: 10.1007/11679363_106  0.487
2005 Cotter SF, Rao BD, Engan K, Kreutz-Delgado K. Sparse solutions to linear inverse problems with multiple measurement vectors Ieee Transactions On Signal Processing. 53: 2477-2488. DOI: 10.1109/Tsp.2005.849172  0.314
2005 Levasseur C, Kreutz-Delgado K, Mayer U, Gancarz G. Data-pattern discovery methods for detection in nongaussian high-dimensional data sets Conference Record - Asilomar Conference On Signals, Systems and Computers. 2005: 545-549.  0.668
2005 Palmer JA, Wipf DP, Kreutz-Delgado K, Rao BD. Variational em algorithms for non-Gaussian latent variable models Advances in Neural Information Processing Systems. 1059-1066.  0.512
2003 Kreutz-Delgado K, Murray JF, Rao BD, Engan K, Lee TW, Sejnowski TJ. Dictionary learning algorithms for sparse representation. Neural Computation. 15: 349-96. PMID 12590811 DOI: 10.1162/089976603762552951  0.363
2003 Rao BD, Engan K, Cotter SF, Palmer J, Kreutz-Delgado K. Subset selection in noise based on diversity measure minimization Ieee Transactions On Signal Processing. 51: 760-770. DOI: 10.1109/Tsp.2002.808076  0.559
2002 Cotter SF, Kreutz-Delgado K, Rao BD. Efficient backward elimination algorithm for sparse signal representation using overcomplete dictionaries Ieee Signal Processing Letters. 9: 145-147. DOI: 10.1109/Lsp.2002.1009004  0.343
2002 Palmer JA, Kreutz-Delgado K. A globally convergent algorithm for MAP estimation in the linear model with non-gaussian priors Conference Record of the Asilomar Conference On Signals, Systems and Computers. 2: 1772-1776.  0.521
2001 Cotter SF, Kreutz-Delgado K, Rao BD. Backward sequential elimination for sparse vector subset selection Signal Processing. 81: 1849-1864. DOI: 10.1016/S0165-1684(01)00064-0  0.338
1999 Rao BD, Kreutz-Delgado K. An affine scaling methodology for best basis selection Ieee Transactions On Signal Processing. 47: 187-200. DOI: 10.1109/78.738251  0.319
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