Jesper Løve Hinrich
Jesper Løve Hinrich
Postdoc, Department of Applied Mathematics and Computer Science, Technical University of Denmark
Bekræftet mail på dtu.dk - Startside
Citeret af
Citeret af
Archetypal analysis for modeling multisubject fMRI data
JL Hinrich, SE Bardenfleth, RE Røge, NW Churchill, KH Madsen, ...
IEEE journal of selected topics in signal processing 10 (7), 1160-1171, 2016
Probabilistic sparse non-negative matrix factorization
JL Hinrich, M Mørup
Latent Variable Analysis and Signal Separation: 14th International …, 2018
Social ties between team members affect patient satisfaction: a data-driven approach to handling complex network analyses
BR Andersen, JL Hinrich, MB Rasmussen, S Lehmann, C Ringsted, ...
Advances in Health Sciences Education 25, 581-606, 2020
Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task
LG Krohne, Y Wang, JL Hinrich, M Moerup, RCK Chan, KH Madsen
Human Brain Mapping 40 (17), 4965-4981, 2019
Probabilistic tensor train decomposition
JL Hinrich, M Mørup
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
Probabilistic parafac2
PJH Jørgensen, SFV Nielsen, JL Hinrich, MN Schmidt, KH Madsen, ...
arXiv preprint arXiv:1806.08195, 2018
Variational Bayesian partially observed non-negative tensor factorization
JL Hinrich, SFV Nielsen, KH Madsen, M Mørup
2018 IEEE 28th international workshop on machine learning for signal …, 2018
Combining electro-and magnetoencephalography data using directional archetypal analysis
AS Olsen, RMT Høegh, JL Hinrich, KH Madsen, M Mørup
Frontiers in Neuroscience 16, 2022
The probabilistic tensor decomposition toolbox
JL Hinrich, KH Madsen, M Mørup
Machine Learning: Science and Technology 1 (2), 025011, 2020
Analysis of chromatographic data using the probabilistic parafac2
PJH Jørgensen, SFV Nielsen, JL Hinrich, MN Schmidt, KH Madsen, ...
33rd Conf. on Neural Information Processing Systems, 2019
Scalable group level probabilistic sparse factor analysis
JL Hinrich, SFV Nielsen, NAB Riis, CT Eriksen, J Frøsig, MDF Kristensen, ...
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Variational group-PCA for intrinsic dimensionality determination in fMRI data
JL Hinrich, SFV Nielsen, KH Madsen, M Mørup
Pattern Recognition in Neuroimaging (PRNI), 2016 International Workshop on, 1-4, 2016
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data
V Beliveau, G Papoutsakis, JL Hinrich, M Mørup
Medical Computer Vision and Bayesian and Graphical Models for Biomedical …, 2017
PARAFAC2× N: Coupled decomposition of multi-modal data with drift in N modes
MDS Armstrong, JL Hinrich, AP de la Mata, JJ Harynuk
Analytica Chimica Acta, 340909, 2023
PARAFAC2N: Coupled Decomposition of Multi-modal Data with Drift in N Modes
MDS Armstrong, JL Hinrich, AP de la Mata, JJ Harynuk
arXiv preprint arXiv:2205.03501, 2022
Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study
BR Andersen, I Ammitzbøll, J Hinrich, S Lehmann, CV Ringsted, ...
BMJ open 12 (3), e049046, 2022
Probabilistic Tensor Modelling and Applications in the Life Sciences
JL Hinrich
Technical University of Denmark, 2020
Large-Scale Latent Variable Modelling of Neuroimaging Data
JL Hinrich, KH Madsen
Tutorial on PARADISe: PARAFAC2-based Deconvolution and Identification System for processing GC–MS data
B Quintanilla-Casas, R Bro, JL Hinrich, CL Davie-Martin
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–19