Morten Mørup

According to our database, Morten Mørup authored at least 103 papers between 2006 and 2024.

Collaborative distances:

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

2024

Probabilistic PARAFAC2.

Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer H. Madsen, Morten Mørup

Entropy, August, 2024

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup

IEEE Trans. Knowl. Data Eng., April, 2024

Probabilistic Block Term Decomposition for the Modeling of Higher Order Arrays.

Jesper Løve Hinrich, Morten Mørup

Comput. Sci. Eng., 2024

SepMamba: State-space models for speaker separation using Mamba.

Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen

CoRR, 2024

Non-negative Tensor Mixture Learning for Discrete Density Estimation.

Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup

CoRR, 2024

Modeling Human Responses by Ordinal Archetypal Analysis.

Anna Emilie J. Wedenborg, Michael Alexander Harborg, Andreas Bigom, Oliver Elmgreen, Marcus Presutti, Andreas Råskov, Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Coupled Generator Decomposition for Fusion of Electro- and Magnetoencephalography Data.

Anders S. Olsen, Jesper Duemose Nielsen, Morten Mørup

Proceedings of the 32nd European Signal Processing Conference, 2024

Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models.

Javier García Ciudad, Morten Mørup, Birgitte Rahbek Kornum, Alexander Neergaard Zahid

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators.

Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Continuous-Time Graph Representation with Sequential Survival Process.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Adv. Complex Syst., May, 2023

Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays.

Jesper Løve Hinrich, Morten Mørup

CoRR, 2023

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion.

Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task.

Anders S. Olsen, Emil Ortvald, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup

Proceedings of the IEEE International Conference on Acoustics, 2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects.

Anders S. Olsen, Anders Lykkebo-Valløe, Brice Ozenne, Martin K. Madsen, Dea S. Stenbæk, Sophia Armand, Morten Mørup, Melanie Ganz, Gitte Moos Knudsen, Patrick M. Fisher

NeuroImage, 2022

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.

Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup

CoRR, 2022

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations.

Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup

Proceedings of the Learning on Graphs Conference, 2022

HM-LDM: A Hybrid-Membership Latent Distance Model.

Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup

Proceedings of the Complex Networks and Their Applications XI, 2022

Bayesian dropout.

Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 13th International Conference on Ambient Systems, 2022

2021

The Bayesian Cut.

Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Mørup

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Using connectomics for predictive assessment of brain parcellations.

Kristoffer Jon Albers, Karen Sandø Ambrosen, Matthew G. Liptrot, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup

NeuroImage, 2021

Early Glycemic Control Assessment Based on Consensus CGM Metrics^*.

Ali Mohebbi, Anna-Katharina Böhm, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Validation of structural brain connectivity networks: The impact of scanning parameters.

Karen Sandø Ambrosen, Simon F. Eskildsen, Max Hinne, Kristine Krug, Henrik Lundell, Mikkel N. Schmidt, Marcel A. J. van Gerven, Morten Mørup, Tim B. Dyrby

NeuroImage, 2020

The probabilistic tensor decomposition toolbox.

Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup

Mach. Learn. Sci. Technol., 2020

Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids.

Maciej Korzepa, Michael Kai Petersen, Jakob Eg Larsen, Morten Mørup

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data.

Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Temporally intermittent communities in brain fMRI correlation networks.

Ulf Aslak, Søren Føns Vind Nielsen, Morten Mørup, Sune Lehmann

Appl. Netw. Sci., 2019

Probabilistic Tensor Train Decomposition.

Jesper Løve Hinrich, Morten Mørup

Proceedings of the 27th European Signal Processing Conference, 2019

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data.

Ali Mohebbi, Jens Magelund Tarp, Morten Lind Jensen, Sadasivan Puthusserypady, Elise Hachmann-Nielsen, Henrik Bengtsson, Morten Mørup

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Predictive assessment of models for dynamic functional connectivity.

Søren Føns Vind Nielsen, Mikkel N. Schmidt, Kristoffer Henriksen, Morten Mørup

NeuroImage, 2018

Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures.

Laura Frølich, Tobias Søren Andersen, Morten Mørup

BMC Bioinform., 2018

Testing group differences in state transition structure of dynamic functional connectivity models.

Søren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Variational Bayesian Partially observed non-Negative Tensor Factorization.

Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.

Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Probabilistic Sparse Non-negative Matrix Factorization.

Jesper Løve Hinrich, Morten Mørup

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform.

Kristoffer Jon Albers, Mikkel N. Schmidt, Morten Mørup, Marisciel Litong-Palima, Rasmus Bonnevie, Fumiko Kano Glückstad

Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017

The missing link: Predicting connectomes from noisy and partially observed tract tracing data.

Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven

PLoS Comput. Biol., 2017

Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data.

Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup

Neural Comput., 2017

Modeling dynamic functional connectivity using a wishart mixture model.

Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures.

Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Scalable group level probabilistic sparse factor analysis.

Jesper Løve Hinrich, Søren Føns Vind Nielsen, Nicolai André Brogaard Riis, Casper T. Eriksen, Jacob Frosig, Marco D. F. Kristensen, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A deep learning approach to adherence detection for type 2 diabetics.

Ali Mohebbi, Tinna B. Aradottir, Alexander Rosenberg Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI.

Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup

Neural Comput., 2016

Archetypal Analysis for Modeling Multisubject fMRI Data.

Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Røge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup

IEEE J. Sel. Top. Signal Process., 2016

Variational group-PCA for intrinsic dimensionality determination in fMRI data.

Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Independent vector analysis for capturing common components in fMRI group analysis.

Astrid M. E. Engberg, Kasper Winther Andersen, Morten Mørup, Kristoffer Hougaard Madsen

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Completely random measures for modelling block-structured sparse networks.

Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups.

Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

The influence of hyper-parameters in the infinite relational model.

Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data.

Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

2015

Unsupervised segmentation of task activated regions in fMRI.

Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Non-parametric Bayesian graph models reveal community structure in resting state fMRI.

Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen

NeuroImage, 2014

Errata to "Bayesian Community Detection" (<i>Neural Computation</i>, Sept. 2012 , Vol. 24, No. 9: 2434-2456).

Morten Mørup, Mikkel N. Schmidt

Neural Comput., 2014

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Artif. Intell. Law, 2014

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution.

Karen Sandø Ambrosen, Kristoffer Jon Albers, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain.

Søren Føns Vind Nielsen, Morten Mørup

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Nonparametric statistical structuring of knowledge systems using binary feature matches.

Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Discovering hierarchical structure in normal relational data.

Mikkel N. Schmidt, Tue Herlau, Morten Mørup

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

Nonparametric Bayesian Modeling of Complex Networks: An Introduction.

Mikkel N. Schmidt, Morten Mørup

IEEE Signal Process. Mag., 2013

Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways.

Juliane Charlotte Thøgersen, Morten Mørup, Søren Damkiær, Søren Molin, Lars Jelsbak

BMC Bioinform., 2013

Analysis of Conceptualization Patterns across Groups of People.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization.

Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Comparing Structural Brain Connectivity by the Infinite Relational Model.

Karen Sandø Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior.

Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen

Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia, 2013

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough.

Kristoffer Jon Albers, Andreas Leon Aagaard Moth, Morten Mørup, Mikkel N. Schmidt

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Modeling Temporal Evolution and Multiscale Structure in Networks.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Bayesian Community Detection.

Morten Mørup, Mikkel N. Schmidt

Neural Comput., 2012

A Bayesian Analysis of the Radioactive Releases of Fukushima.

Ryota Tomioka, Morten Mørup

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Archetypal analysis for machine learning and data mining.

Morten Mørup, Lars Kai Hansen

Neurocomputing, 2012

Link prediction in weighted networks.

David Kofoed Wind, Morten Mørup

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Modelling dense relational data.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Identifying modular relations in complex brain networks.

Kasper Winther Andersen, Morten Mørup, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Lars Kai Hansen

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Detecting hierarchical structure in networks.

Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen

Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011

Applications of tensor (multiway array) factorizations and decompositions in data mining.

Morten Mørup

WIREs Data Mining Knowl. Discov., 2011

Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach.

Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen

J. Signal Process. Syst., 2011

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.

Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Lars Kai Hansen, Morten Mørup

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Infinite multiple membership relational modeling for complex networks.

Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Transformation invariant sparse coding.

Morten Mørup, Mikkel N. Schmidt

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Non-parametric co-clustering of large scale sparse bipartite networks on the GPU.

Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Modeling latency and shape changes in trial based neuroimaging data.

Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Frequency constrained ShiftCP modeling of neuroimaging data.

Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session MP7a: Processing of physiological signals.

Nuri Firat Ince, Morten Mørup

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Semi-Supervised Kernel PCA

Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen

CoRR, 2010

Scalable Tensor Factorizations for Incomplete Data

Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup

CoRR, 2010

Scalable Tensor Factorizations with Missing Data.

Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup

Proceedings of the SIAM International Conference on Data Mining, 2010

Infinite Relational Modeling of Functional Connectivity in Resting State fMRI.

Morten Mørup, Kristoffer Hougaard Madsen, Anne-Marie Dogonowski, Hartwig R. Siebner, Lars Kai Hansen

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Infinite non-negative matrix factorization.

Mikkel N. Schmidt, Morten Mørup

Proceedings of the 18th European Signal Processing Conference, 2010

Latent semantics as cognitive components.

Michael Kai Petersen, Morten Mørup, Lars Kai Hansen

Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009

Multiplicative updates For Non-Negative Kernel SVM

Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane

CoRR, 2009

Efficient Multiplicative Updates for Support Vector Machines.

Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane

Proceedings of the SIAM International Conference on Data Mining, 2009

Sofomore: Combined EEG Source and Forward Model Reconstruction.

Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Tuning pruning in sparse non-negative matrix factorization.

Morten Mørup, Lars Kai Hansen

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Decomposition methods for unsupervised learning.

Morten Mørup

PhD thesis, 2008

Shift-invariant multilinear decomposition of neuroimaging data.

Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen

NeuroImage, 2008

Algorithms for Sparse Nonnegative Tucker Decompositions.

Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred

Neural Comput., 2008

Advances in Nonnegative Matrix and Tensor Factorization.

Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek

Comput. Intell. Neurosci., 2008

Approximate L0 constrained non-negative matrix and tensor factorization.

Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Model Order Estimation for Independent Component Analysis of Epoched EEG Signals.

Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred

Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007

Shifted Independent Component Analysis.

Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006

Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG.

Morten Mørup, Lars Kai Hansen, Christoph S. Herrmann, Josef Parnas, Sidse Marie Arnfred

NeuroImage, 2006

Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation.

Mikkel N. Schmidt, Morten Mørup

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