Morten Mørup

According to our database1, Morten Mørup authored at least 94 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Continuous-time Graph Representation with Sequential Survival Process.
CoRR, 2023

Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays.
CoRR, 2023

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks.
CoRR, 2023

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model.
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.
NeuroImage, 2022

HM-LDM: A Hybrid-Membership Latent Distance Model.
CoRR, 2022

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations.
CoRR, 2022

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations.
Proceedings of the Learning on Graphs Conference, 2022

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

2021
The Bayesian Cut.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Using connectomics for predictive assessment of brain parcellations.
NeuroImage, 2021

Early Glycemic Control Assessment Based on Consensus CGM Metrics<sup>*</sup>.
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.
NeuroImage, 2020

The probabilistic tensor decomposition toolbox.
Mach. Learn. Sci. Technol., 2020

Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids.
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.
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.
Appl. Netw. Sci., 2019

Probabilistic Tensor Train Decomposition.
Proceedings of the 27th European Signal Processing Conference, 2019

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data.
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.
NeuroImage, 2018

Probabilistic PARAFAC2.
CoRR, 2018

Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures.
BMC Bioinform., 2018

Testing group differences in state transition structure of dynamic functional connectivity models.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Variational Bayesian Partially observed non-Negative Tensor Factorization.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Probabilistic Sparse Non-negative Matrix Factorization.
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.
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.
PLoS Comput. Biol., 2017

Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data.
Neural Comput., 2017

Modeling dynamic functional connectivity using a wishart mixture model.
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.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Scalable group level probabilistic sparse factor analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A deep learning approach to adherence detection for type 2 diabetics.
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.
Neural Comput., 2016

Archetypal Analysis for Modeling Multisubject fMRI Data.
IEEE J. Sel. Top. Signal Process., 2016

Variational group-PCA for intrinsic dimensionality determination in fMRI data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Independent vector analysis for capturing common components in fMRI group analysis.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Completely random measures for modelling block-structured sparse networks.
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.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

The influence of hyper-parameters in the infinite relational model.
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.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

2015
Unsupervised segmentation of task activated regions in fMRI.
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.
NeuroImage, 2014

Errata to "Bayesian Community Detection" (<i>Neural Computation</i>, Sept. 2012 , Vol. 24, No. 9: 2434-2456).
Neural Comput., 2014

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links.
Artif. Intell. Law, 2014

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution.
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.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Nonparametric statistical structuring of knowledge systems using binary feature matches.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Discovering hierarchical structure in normal relational data.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
Nonparametric Bayesian Modeling of Complex Networks: An Introduction.
IEEE Signal Process. Mag., 2013

Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways.
BMC Bioinform., 2013

Analysis of Conceptualization Patterns across Groups of People.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization.
Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

Comparing Structural Brain Connectivity by the Infinite Relational Model.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior.
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.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Modeling Temporal Evolution and Multiscale Structure in Networks.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Bayesian Community Detection.
Neural Comput., 2012

A Bayesian Analysis of the Radioactive Releases of Fukushima.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Archetypal analysis for machine learning and data mining.
Neurocomputing, 2012

Link prediction in weighted networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Modelling dense relational data.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Identifying modular relations in complex brain networks.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Detecting hierarchical structure in networks.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
Applications of tensor (multiway array) factorizations and decompositions in data mining.
WIREs Data Mining Knowl. Discov., 2011

Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach.
J. Signal Process. Syst., 2011

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Infinite multiple membership relational modeling for complex networks.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Transformation invariant sparse coding.
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.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Modeling latency and shape changes in trial based neuroimaging data.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Frequency constrained ShiftCP modeling of neuroimaging data.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session MP7a: Processing of physiological signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Semi-Supervised Kernel PCA
CoRR, 2010

Scalable Tensor Factorizations for Incomplete Data
CoRR, 2010

Scalable Tensor Factorizations with Missing Data.
Proceedings of the SIAM International Conference on Data Mining, 2010

Infinite Relational Modeling of Functional Connectivity in Resting State fMRI.
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.
Proceedings of the 18th European Signal Processing Conference, 2010

Latent semantics as cognitive components.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010

2009
Multiplicative updates For Non-Negative Kernel SVM
CoRR, 2009

Efficient Multiplicative Updates for Support Vector Machines.
Proceedings of the SIAM International Conference on Data Mining, 2009

Sofomore: Combined EEG Source and Forward Model Reconstruction.
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.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Decomposition methods for unsupervised learning.
PhD thesis, 2008

Shift-invariant multilinear decomposition of neuroimaging data.
NeuroImage, 2008

Algorithms for Sparse Nonnegative Tucker Decompositions.
Neural Comput., 2008

Advances in Nonnegative Matrix and Tensor Factorization.
Comput. Intell. Neurosci., 2008

Approximate L0 constrained non-negative matrix and tensor factorization.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

Model Order Estimation for Independent Component Analysis of Epoched EEG Signals.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Shifted Independent Component Analysis.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

2006
Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG.
NeuroImage, 2006

Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006


  Loading...