Lars Kai Hansen

264 papers A* 2A 4B 2C 2Misc 17Journal 119Unranked 114

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization. Trans. Mach. Learn. Res. Gustav Wagner Zakarias, Lars Kai Hansen, Zheng-Hua Tan
2026	J	`jnl`	Missing-Data-Induced Phase Transitions in Spectral PLS for Multimodal Learning. CoRR Anders Gjølbye, Ida Kargaard, Emma Kargaard, Lars Kai Hansen
2025	—	`conf`	Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks. NLDL Teresa Dorszewski, Lenka Tetková, Lorenz Linhardt, Lars Kai Hansen
2025	—	`conf`	Danoliteracy of Generative Large Language Models. NoDaLiDa/Baltic-HLT Søren Vejlgaard Holm, Lars Kai Hansen, Martin Carsten Nielsen
2025	—	`conf`	From Colors to Classes: Emergence of Concepts in Vision Transformers. xAI (1) Teresa Dorszewski, Lenka Tetková, Robert Jenssen, Lars Kai Hansen, Kristoffer Knutsen Wickstrøm
2025	J	`jnl`	From Colors to Classes: Emergence of Concepts in Vision Transformers. CoRR Teresa Dorszewski, Lenka Tetková, Robert Jenssen, Lars Kai Hansen, Kristoffer Knutsen Wickstrøm
2025	Misc	`conf`	How Redundant Is the Transformer Stack in Speech Representation Models? ICASSP Teresa Dorszewski, Albert Kjøller Jacobsen, Lenka Tetková, Lars Kai Hansen
2025	J	`jnl`	Large Vision Models Can Solve Mental Rotation Problems. CoRR Sebastian Ray Mason, Anders Gjølbye, Phillip Chavarria Højbjerg, Lenka Tetková, Lars Kai Hansen
2025	J	`jnl`	Minimizing False-Positive Attributions in Explanations of Non-Linear Models. CoRR Anders Gjølbye Madsen, Stefan Haufe, Lars Kai Hansen
2024	J	`jnl`	BiSSL: Bilevel Optimization for Self-Supervised Pre-Training and Fine-Tuning. CoRR Gustav Wagner Zakarias, Lars Kai Hansen, Zheng-Hua Tan
2024	J	`jnl`	Challenges in explaining deep learning models for data with biological variation. CoRR Lenka Tetková, Erik Schou Dreier, Robin Malm, Lars Kai Hansen
2024	J	`jnl`	Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks. CoRR Teresa Dorszewski, Lenka Tetková, Lorenz Linhardt, Lars Kai Hansen
2024	—	`conf`	Convexity Based Pruning of Speech Representation Models. MLSP Teresa Dorszewski, Lenka Tetková, Lars Kai Hansen
2024	J	`jnl`	Convexity-based Pruning of Speech Representation Models. CoRR Teresa Dorszewski, Lenka Tetková, Lars Kai Hansen
2024	J	`jnl`	Danoliteracy of Generative, Large Language Models. CoRR Søren Vejlgaard Holm, Lars Kai Hansen, Martin Carsten Nielsen
2024	J	`jnl`	How Redundant Is the Transformer Stack in Speech Representation Models? CoRR Teresa Dorszewski, Albert Kjøller Jacobsen, Lenka Tetková, Lars Kai Hansen
2024	—	`conf`	Hubness Reduction Improves Sentence-BERT Semantic Spaces. NLDL Beatrix Miranda Ginn Nielsen, Lars Kai Hansen
2024	—	`conf`	Knowledge Graphs for Empirical Concept Retrieval. xAI (1) Lenka Tetková, Teresa Karen Scheidt, Maria Mandrup Fogh, Ellen Marie Gaunby Jørgensen, Finn Årup Nielsen, Lars Kai Hansen
2024	J	`jnl`	Knowledge graphs for empirical concept retrieval. CoRR Lenka Tetková, Teresa Karen Scheidt, Maria Mandrup Fogh, Ellen Marie Gaunby Jørgensen, Finn Årup Nielsen, Lars Kai Hansen
2024	A*	`conf`	Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners. ICLR Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
2024	J	`jnl`	SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning. CoRR Anders Gjølbye Madsen, Lina Skerath, William Theodor Lehn-Schiøler, Nicolas Langer, Lars Kai Hansen
2024	—	`conf`	Speed: Scalable Preprocessing of EEG Data for Self-Supervised Learning. MLSP Anders Gjølbye Madsen, Lina Skerath, William Theodor Lehn-Schiøler, Nicolas Langer, Lars Kai Hansen
2024	J	`jnl`	Using sequences of life-events to predict human lives. Nat. Comput. Sci. Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
2023	J	`jnl`	Automatic proficiency scoring for early-stage writing. Comput. Educ. Artif. Intell. Michael Riis Andersen, Kristine Kabel, Jesper Bremholm, Jeppe Bundsgaard, Lars Kai Hansen
2023	—	`conf`	Concept-Based Explainability for an EEG Transformer Model. MLSP Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen
2023	J	`jnl`	Concept-based explainability for an EEG transformer model. CoRR Anders Gjølbye Madsen, William Theodor Lehn-Schiøler, Áshildur Jónsdóttir, Bergdís Arnardóttir, Lars Kai Hansen
2023	J	`jnl`	Hubness Reduction Improves Sentence-BERT Semantic Spaces. CoRR Beatrix M. G. Nielsen, Lars Kai Hansen
2023	J	`jnl`	Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. CoRR Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan
2023	J	`jnl`	On convex conceptual regions in deep network representations. CoRR Lenka Tetková, Thea Brüsch, Teresa Karen Scheidt, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen
2023	J	`jnl`	On the role of Model Uncertainties in Bayesian Optimization. CoRR Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen
2023	A	`conf`	On the role of model uncertainties in Bayesian optimisation. UAI Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen
2023	—	`conf`	Robustness of Visual Explanations to Common Data Augmentation Methods. CVPR Workshops Lenka Tetková, Lars Kai Hansen
2023	—	`conf`	Robustness of Visual Explanations to Common Data Augmentation Methods. XAI4CV Lenka Tetková, Lars Kai Hansen
2023	J	`jnl`	Robustness of Visual Explanations to Common Data Augmentation. CoRR Lenka Tetková, Lars Kai Hansen
2023	J	`jnl`	Using Sequences of Life-events to Predict Human Lives. CoRR Germans Savcisens, Tina Eliassi-Rad, Lars Kai Hansen, Laust Hvas Mortensen, Lau Lilleholt, Anna Rogers, Ingo Zettler, Sune Lehmann
2022	J	`jnl`	Modulation transfer functions for audiovisual speech. PLoS Comput. Biol. Nicolai Pedersen, Torsten Dau, Lars Kai Hansen, Jens Hjortkjær
2021	J	`jnl`	Generalization by design: Shortcuts to Generalization in Deep Learning. CoRR Petr Taborsky, Lars Kai Hansen
2021	—	`conf`	On the Limits to Multi-modal Popularity Prediction on Instagram: A New Robust, Efficient and Explainable Baseline. ICAART (2) Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
2021	J	`jnl`	Real-Time Decoding of Attentional States Using Closed-Loop EEG Neurofeedback. Neural Comput. Greta Tuckute, Sofie Therese Hansen, Troels Wesenberg Kjaer, Lars Kai Hansen
2021	—	`conf`	Spontaneous Symmetry Breaking in Data Visualization. ICANN (2) Cilie W. Feldager, Søren Hauberg, Lars Kai Hansen
2021	J	`jnl`	Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts. CoRR Raluca Alexandra Fetic, Mikkel Jordahn, Lucas Chaves Lima, Rasmus Arpe Fogh Egebæk, Martin Carsten Nielsen, Benjamin Biering, Lars Kai Hansen
2020	J	`jnl`	A simple defense against adversarial attacks on heatmap explanations. CoRR Laura Rieger, Lars Kai Hansen
2020	J	`jnl`	Client Adaptation improves Federated Learning with Simulated Non-IID Clients. CoRR Laura Rieger, Rasmus M. Th. Høegh, Lars Kai Hansen
2020	J	`jnl`	IROF: a low resource evaluation metric for explanation methods. CoRR Laura Rieger, Lars Kai Hansen
2020	J	`jnl`	On the Limits to Multi-Modal Popularity Prediction on Instagram - A New Robust, Efficient and Explainable Baseline. CoRR Christoffer Riis, Damian Konrad Kowalczyk, Lars Kai Hansen
2020	J	`jnl`	Probabilistic Decoupling of Labels in Classification. CoRR Jeppe Nørregaard, Lars Kai Hansen
2020	J	`jnl`	Robustness analytics to data heterogeneity in edge computing. Comput. Commun. Jia Qian, Lars Kai Hansen, Xenofon Fafoutis, Prayag Tiwari, Hari Mohan Pandey
2020	—	`conf`	The Complexity of Social Media Response: Statistical Evidence for One-dimensional Engagement Signal in Twitter. ICAART (2) Damian Konrad Kowalczyk, Lars Kai Hansen
2020	J	`jnl`	Towards Federated Learning: Robustness Analytics to Data Heterogeneity. CoRR Jia Qian, Xenofon Fafoutis, Lars Kai Hansen
2020	J	`jnl`	What can we learn from gradients? CoRR Jia Qian, Lars Kai Hansen
2019	J	`jnl`	Active Learning Solution on Distributed Edge Computing. CoRR Jia Qian, Sayantan Sengupta, Lars Kai Hansen
2019	J	`jnl`	Aggregating explainability methods for neural networks stabilizes explanations. CoRR Laura Rieger, Lars Kai Hansen
2019	—	`conf`	Combining embedding methods for a word intrusion task. KONVENS Finn Årup Nielsen, Lars Kai Hansen
2019	—	`conf`	Distributed Active Learning Strategies on Edge Computing. CSCloud/EdgeCom Jia Qian, Sarada Prasad Gochhayat, Lars Kai Hansen
2019	—	`book`	Explainable AI: Interpreting, Explaining and Visualizing Deep Learning Explainable AI Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert Müller
2019	—	`ch.`	Interpretability in Intelligent Systems - A New Concept? Explainable AI Lars Kai Hansen, Laura Rieger
2019	A*	`conf`	Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! ICML Niels Bruun Ipsen, Lars Kai Hansen
2019	J	`jnl`	Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size! CoRR Niels Bruun Ipsen, Lars Kai Hansen
2019	J	`jnl`	Probabilistic Decoupling of Labels in Classification. CoRR Jeppe Nørregaard, Lars Kai Hansen
2019	J	`jnl`	Single-Trial Decoding of Scalp EEG under Natural Conditions. Comput. Intell. Neurosci. Greta Tuckute, Sofie Therese Hansen, Nicolai Pedersen, Dea Steenstrup, Lars Kai Hansen
2019	J	`jnl`	The Complexity of Social Media Response: Statistical Evidence For One-Dimensional Engagement Signal in Twitter. CoRR Damian Konrad Kowalczyk, Lars Kai Hansen
2019	J	`jnl`	Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Comput. Intell. Neurosci. Sofie Therese Hansen, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen
2018	—	`conf`	A Differential Privacy Workflow for Inference of Parameters in the Rasch Model. MIDAS/PAP@PKDD/ECML Teresa Anna Steiner, David Enslev Nyrnberg, Lars Kai Hansen
2018	A	`conf`	Bayesian Structure Learning for Dynamic Brain Connectivity. AISTATS Michael Riis Andersen, Ole Winther, Lars Kai Hansen, Russell A. Poldrack, Oluwasanmi Koyejo
2018	Misc	`conf`	Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup
2018	—	`conf`	Inferring Visual Semantic Similarity with Deep Learning and Wikidata: Introducing DL4KGS@ESWC Finn Årup Nielsen, Lars Kai Hansen
2018	—	`conf`	Latent Space Oddity: on the Curvature of Deep Generative Models. ICLR (Poster) Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2018	Misc	`conf`	Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG. ICASSP Andreas Muff Munk, Kristoffer Vinther Olesen, Sirin Wilhelmsen Gangstad, Lars Kai Hansen
2018	J	`jnl`	Sequence Classification Using Third-Order Moments. Neural Comput. Rasmus Troelsgård, Lars Kai Hansen
2018	J	`jnl`	The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails. Proc. IEEE Tülay Adali, H. Joel Trussell, Lars Kai Hansen, Vince D. Calhoun
2017	J	`jnl`	Adaptive Smoothing in fMRI Data Processing Neural Networks. CoRR Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
2017	—	`conf`	Adaptive smoothing in fMRI data processing neural networks. PRNI Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
2017	J	`jnl`	Bayesian Inference for Spatio-temporal Spike-and-Slab Priors. J. Mach. Learn. Res. Michael Riis Andersen, Aki Vehtari, Ole Winther, Lars Kai Hansen
2017	J	`jnl`	Deep Convolutional Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring. CoRR Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
2017	—	`conf`	Deep convolutional neural networks for interpretable analysis of EEG sleep stage scoring. MLSP Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
2017	Misc	`conf`	EEG source imaging assists decoding in a face recognition task. ICASSP Rasmus S. Andersen, Anders U. Eliasen, Nicolai Pedersen, Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen
2017	—	`conf`	Maximum Likelihood Estimation of Riemannian Metrics from Euclidean Data. GSI Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2017	J	`jnl`	Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior. NeuroImage Sofie Therese Hansen, Lars Kai Hansen
2016	—	`conf`	A Locally Adaptive Normal Distribution. NIPS Georgios Arvanitidis, Lars Kai Hansen, Søren Hauberg
2016	J	`jnl`	Data-driven forward model inference for EEG brain imaging. NeuroImage Sofie Therese Hansen, Søren Hauberg, Lars Kai Hansen
2016	A	`conf`	Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. AISTATS Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
2016	J	`jnl`	Measuring engagement in a classroom: Synchronised neural recordings during a video presentation. CoRR Andreas Trier Poulsen, Simon Kamronn, Jacek Dmochowski, Lucas C. Parra, Lars Kai Hansen
2016	J	`jnl`	The Center for Integrated Molecular Brain Imaging (Cimbi) database. NeuroImage Gitte Moos Knudsen, Peter S. Jensen, David Erritzoe, William F. C. Baaré, Anders Ettrup, Patrick M. Fisher, Nic Gillings, Hanne D. Hansen, Lars Kai Hansen, Steen Gregers Hasselbalch, Susanne Henningsson, Matthias M. Herth, Klaus K. Holst, Pernille Iversen, Lars Vedel Kessing, Julian Macoveanu, Kathrine Skak Madsen, Erik L. Mortensen, Finn Årup Nielsen, Olaf B. Paulson, Hartwig R. Siebner, Dea S. Stenbæk, Claus Svarer, Terry L. Jernigan, Stephen C. Strother, Vibe G. Frokjaer
2016	J	`jnl`	Towards end-to-end optimisation of functional image analysis pipelines. CoRR Albert Vilamala, Kristoffer Hougaard Madsen, Lars Kai Hansen
2015	J	`jnl`	Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. CoRR Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
2015	Misc	`conf`	EEG source reconstruction performance as a function of skull conductance contrast. ICASSP Sofie Therese Hansen, Lars Kai Hansen
2015	—	`conf`	Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. PRNI Sofie Therese Hansen, Irene Winkler, Lars Kai Hansen, Klaus-Robert Müller, Sven Dähne
2015	J	`jnl`	Multimodal Data Fusion [Scanning the Issue]. Proc. IEEE Tülay Adali, Christian Jutten, Lars Kai Hansen
2015	J	`jnl`	Multiview Bayesian Correlated Component Analysis. Neural Comput. Simon Kamronn, Andreas Trier Poulsen, Lars Kai Hansen
2015	—	`conf`	Testing Multimodal Integration Hypotheses with Application to Schizophrenia Data. PRNI Martin C. Axelsen, Nikolaj Bak, Lars Kai Hansen
2014	J	`jnl`	A Topic Model Approach to Multi-Modal Similarity. CoRR Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen
2014	J	`jnl`	A regularized matrix factorization approach to induce structured sparse-low-rank solutions in the EEG inverse problem. EURASIP J. Adv. Signal Process. Jair Montoya-Martínez, Antonio Artés-Rodríguez, Massimiliano Pontil, Lars Kai Hansen
2014	—	`conf`	Bayesian Inference for Structured Spike and Slab Priors. NIPS Michael Riis Andersen, Ole Winther, Lars Kai Hansen
2014	—	`conf`	Bayesian correlated component analysis for inference of joint EEG activation. PRNI Andreas Trier Poulsen, Simon Kamronn, Lucas C. Parra, Lars Kai Hansen
2014	—	`conf`	Compact web browsing profiles for click-through rate prediction. MLSP Bjarne Ørum Fruergaard, Lars Kai Hansen
2014	J	`jnl`	Denoising by semi-supervised kernel PCA preimaging. Pattern Recognit. Lett. Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen
2014	—	`conf`	EEG source reconstruction using sparse basis function representations. PRNI Sofie Therese Hansen, Lars Kai Hansen
2014	—	`conf`	Fast sampling from a Hidden Markov Model posterior for large data. MLSP Rasmus Bonnevie, Lars Kai Hansen
2014	J	`jnl`	Frontal alpha oscillations distinguish leaders from followers: Multivariate decoding of mutually interacting brains. NeuroImage Ivana Konvalinka, Markus Bauer, Carsten Stahlhut, Lars Kai Hansen, Andreas Roepstorff, Chris D. Frith
2014	J	`jnl`	Non-parametric Bayesian graph models reveal community structure in resting state fMRI. NeuroImage Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen
2014	—	`conf`	Preface. CIP Lars Kai Hansen, Søren Holdt Jensen, Jan Larsen
2014	J	`jnl`	Privacy for Personal Neuroinformatics. CoRR Arkadiusz Stopczynski, Dazza Greenwood, Lars Kai Hansen, Alex Pentland
2013	—	`conf`	A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. ISBI Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan
2013	J	`jnl`	Dimensionality reduction for click-through rate prediction: Dense versus sparse representation. CoRR Bjarne Ørum Fruergaard, Toke Jansen Hansen, Lars Kai Hansen
2013	—	`conf`	Expansion of the Variational Garrote to a Multiple Measurement Vectors Model. SCAI Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen
2013	J	`jnl`	FindZebra: A search engine for rare diseases CoRR Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther
2013	J	`jnl`	FindZebra: A search engine for rare diseases. Int. J. Medical Informatics Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ingemar J. Cox, Lars Kai Hansen, Peter Ingwersen, Ole Winther
2013	J	`jnl`	Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. CoRR Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen
2013	J	`jnl`	Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods. IEEE Signal Process. Mag. Jerónimo Arenas-García, Kaare Brandt Petersen, Gustavo Camps-Valls, Lars Kai Hansen
2013	—	`conf`	Learning the solution sparsity of an ill-posed linear inverse problem with the Variational Garrote. MLSP Michael Riis Andersen, Sofie Therese Hansen, Lars Kai Hansen
2013	—	`conf`	Mobile real-time EEG imaging Bayesian inference with sparse, temporally smooth source priors. BCI Lars Kai Hansen, Sofie Therese Hansen, Carsten Stahlhut
2013	—	`conf`	Sparse Source EEG Imaging with the Variational Garrote. PRNI Sofie Therese Hansen, Carsten Stahlhut, Lars Kai Hansen
2013	—	`conf`	Spatio temporal media components for neurofeedback. ICME Workshops Camilla Birgitte Falk Jensen, Michael Kai Petersen, Jakob Eg Larsen, Arkadiusz Stopczynski, Carsten Stahlhut, Marieta Georgieva Ivanova, Tobias Andersen, Lars Kai Hansen
2013	J	`jnl`	The Smartphone Brain Scanner: A Mobile Real-time Neuroimaging System CoRR Arkadiusz Stopczynski, Carsten Stahlhut, Jakob Eg Larsen, Michael Kai Petersen, Lars Kai Hansen
2013	Misc	`conf`	Towards a universal representation for audio information retrieval and analysis. ICASSP Bjørn Sand Jensen, Rasmus Troelsgård, Jan Larsen, Lars Kai Hansen
2013	J	`jnl`	Variance inflation in high dimensional Support Vector Machines. Pattern Recognit. Lett. Trine Julie Abrahamsen, Lars Kai Hansen
2012	—	`conf`	A Hold-out method to correct PCA variance inflation. CIP Pablo Garcia-Moreno, Antonio Artés-Rodríguez, Lars Kai Hansen
2012	—	`ch.`	Adaptive Regularization in Neural Network Modeling. Neural Networks: Tricks of the Trade (2nd ed.) Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
2012	—	`conf`	An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. EMBC Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen
2012	J	`jnl`	Archetypal analysis for machine learning and data mining. Neurocomputing Morten Mørup, Lars Kai Hansen
2012	—	`conf`	Attention: A machine learning perspective. CIP Lars Kai Hansen
2012	—	`conf`	Cognitive semantic networks: Emotional verbs throw a tantrum but don't bite. CIP Michael Kai Petersen, Lars Kai Hansen
2012	—	`conf`	Detecting hierarchical structure in networks. CIP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2012	—	`conf`	Identifying modular relations in complex brain networks. MLSP Kasper Winther Andersen, Morten Mørup, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Lars Kai Hansen
2012	J	`jnl`	Model Selection for Gaussian Kernel PCA Denoising. IEEE Trans. Neural Networks Learn. Syst. Kasper Winther Jørgensen, Lars Kai Hansen
2012	J	`jnl`	Model sparsity and brain pattern interpretation of classification models in neuroimaging. Pattern Recognit. Peter Mondrup Rasmussen, Lars Kai Hansen, Kristoffer Hougaard Madsen, Nathan William Churchill, Stephen C. Strother
2012	—	`conf`	Modelling dense relational data. MLSP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2012	J	`jnl`	Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. NeuroImage Peter Mondrup Rasmussen, Trine Julie Abrahamsen, Kristoffer Hougaard Madsen, Lars Kai Hansen
2012	—	`conf`	Structured sparsity regularization approach to the EEG inverse problem. CIP Jair Montoya-Martínez, Antonio Artés-Rodríguez, Lars Kai Hansen, Massimiliano Pontil
2012	—	`conf`	Visualization of Nonlinear Classification Models in Neuroimaging - Signed Sensitivity Maps. BIOSIGNALS Peter Mondrup Rasmussen, Tanya Schmah, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Grigori Yourganov, Stephen C. Strother, Lars Kai Hansen
2011	J	`jnl`	A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis. J. Mach. Learn. Res. Trine Julie Abrahamsen, Lars Kai Hansen
2011	—	`conf`	A Smartphone Interface for a Wireless EEG Headset with Real-Time 3D Reconstruction. ACII (2) Arkadiusz Stopczynski, Jakob Eg Larsen, Carsten Stahlhut, Michael Kai Petersen, Lars Kai Hansen
2011	—	`conf`	A randomized heuristic for kernel parameter selection with large-scale multi-class data. MLSP Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen
2011	—	`conf`	Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI. MLINI Toke Jansen Hansen, Lars Kai Hansen, Kristoffer Hougaard Madsen
2011	B	`conf`	Emotional nodes among lines of lyrics. FG Michael Kai Petersen, Lars Kai Hansen
2011	—	`conf`	Frequency constrained ShiftCP modeling of neuroimaging data. ACSCC Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
2011	J	`jnl`	Good Friends, Bad News - Affect and Virality in Twitter CoRR Lars Kai Hansen, Adam Arvidsson, Finn Årup Nielsen, Elanor Colleoni, Michael Etter
2011	Misc	`conf`	How efficient is estimation with missing data? ICASSP Seliz G. Karadogan, Letizia Marchegiani, Lars Kai Hansen, Jan Larsen
2011	—	`conf`	Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling. MLINI Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Lars Kai Hansen, Morten Mørup
2011	J	`jnl`	Infinite Multiple Membership Relational Modeling for Complex Networks CoRR Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2011	—	`conf`	Infinite multiple membership relational modeling for complex networks. MLSP Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2011	—	`conf`	Large scale topic modeling made practical. MLSP Bjarne Ørum Wahlgreen, Lars Kai Hansen
2011	—	`conf`	Modeling latency and shape changes in trial based neuroimaging data. ACSCC Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
2011	—	`conf`	Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. MLSP Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen
2011	J	`jnl`	Regularized Pre-image Estimation for Kernel PCA De-noising - Input Space Regularization and Sparse Reconstruction. J. Signal Process. Syst. Trine Julie Abrahamsen, Lars Kai Hansen
2011	—	`conf`	Restoring the Generalizability of SVM Based Decoding in High Dimensional Neuroimage Data. MLINI Trine Julie Abrahamsen, Lars Kai Hansen
2011	J	`jnl`	Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach. J. Signal Process. Syst. Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
2011	—	`conf`	Smartphones Get Emotional: Mind Reading Images and Reconstructing the Neural Sources. ACII (2) Michael Kai Petersen, Carsten Stahlhut, Arkadiusz Stopczynski, Jakob Eg Larsen, Lars Kai Hansen
2011	J	`jnl`	Sparse non-linear denoising: Generalization performance and pattern reproducibility in functional MRI. Pattern Recognit. Lett. Trine Julie Abrahamsen, Lars Kai Hansen
2011	—	`conf`	The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry's Experiment after Sixty Years. ICMLA (1) Letizia Marchegiani, Seliz G. Karadogan, Tobias Andersen, Jan Larsen, Lars Kai Hansen
2011	—	`conf`	Top-down attentionwith features missing at random. MLSP Seliz G. Karadogan, Letizia Marchegiani, Jan Larsen, Lars Kai Hansen
2011	J	`jnl`	Visualization of nonlinear kernel models in neuroimaging by sensitivity maps. NeuroImage Peter Mondrup Rasmussen, Kristoffer Hougaard Madsen, Torben Ellegaard Lund, Lars Kai Hansen
2011	—	`conf`	What to measure next to improve decision making? On top-down task driven feature saliency. CCMB Lars Kai Hansen, Seliz G. Karadogan, Letizia Marchegiani
2010	A	`conf`	Improving Query Correctness Using Centralized Probably Approximately Correct (PAC) Search. ECIR Ingemar J. Cox, Jianhan Zhu, Ruoxun Fu, Lars Kai Hansen
2010	—	`conf`	Infinite Relational Modeling of Functional Connectivity in Resting State fMRI. NIPS Morten Mørup, Kristoffer Hougaard Madsen, Anne-Marie Dogonowski, Hartwig R. Siebner, Lars Kai Hansen
2010	—	`conf`	Latent semantics as cognitive components. CIP Michael Kai Petersen, Morten Mørup, Lars Kai Hansen
2010	J	`jnl`	Semi-Supervised Kernel PCA CoRR Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen
2010	—	`conf`	Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan
2009	—	`conf`	Bayesian Non-negative Matrix Factorization. ICA Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen
2009	—	`conf`	BredeQuery: Coordinate-Based Meta-analytic Search of Neuroscientific Literature from the SPM Environment. BIOSTEC (Selected Papers) Bartlomiej Wilkowski, Marcin Szewczyk, Peter Mondrup Rasmussen, Lars Kai Hansen, Finn Årup Nielsen
2009	—	`conf`	Coordinate-based Meta-analytic search for the SPM Neuroimaging Pipeline - The BredeQuery Plugin for SPM5. HEALTHINF Bartlomiej Wilkowski, Marcin Szewczyk, Peter Mondrup Rasmussen, Lars Kai Hansen, Finn Årup Nielsen
2009	Misc	`conf`	Probably Approximately Correct Search. ICTIR Ingemar J. Cox, Ruoxun Fu, Lars Kai Hansen
2009	—	`conf`	Sofomore: Combined EEG Source and Forward Model Reconstruction. ISBI Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
2009	—	`conf`	Tuning pruning in sparse non-negative matrix factorization. EUSIPCO Morten Mørup, Lars Kai Hansen
2009	—	`conf`	Unified ICA-SPM Analysis of fMRI Experiments - Implementation of an ICA Graphical user Interface for the SPM Pipeline. BIOSIGNALS Troels Bjerre, Jonas Henriksen, Carsten Haagen Nielsen, Peter Mondrup Rasmussen, Lars Kai Hansen, Kristoffer Hougaard Madsen
2008	J	`jnl`	Algorithms for Sparse Nonnegative Tucker Decompositions. Neural Comput. Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred
2008	C	`conf`	Approximate L0 constrained non-negative matrix and tensor factorization. ISCAS Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen
2008	J	`jnl`	Bayesian Model Comparison in Nonlinear BOLD fMRI Hemodynamics. Neural Comput. Daniel J. Jacobsen, Lars Kai Hansen, Kristoffer Hougaard Madsen
2008	J	`jnl`	Introduction to the Issue on fMRI Analysis for Human Brain Mapping. IEEE J. Sel. Top. Signal Process. Tülay Adali, Z. Jane Wang, Martin J. McKeown, Philippe Ciuciu, Lars Kai Hansen, Andrzej Cichocki, Vincent D. Calhoun
2008	—	`conf`	Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. BIOSIGNALS (2) Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred
2008	—	`conf`	MuZeeker: Adapting a Music Search Engine for Mobile Phones. WMMP Jakob Eg Larsen, Søren Halling, Magnús Sigurðsson, Lars Kai Hansen
2008	J	`jnl`	Segmentation of age-related white matter changes in a clinical multi-center study. NeuroImage Tim B. Dyrby, Egill Rostrup, William F. C. Baaré, Elisabeth C. W. van Straaten, Frederik Barkhof, Hugo Vrenken, Stefan Ropele, Reinhold Schmidt, Timo Erkinjuntti, Lars-Olof Wahlund, Leonardo Pantoni, Domenico Inzitari, Olaf B. Paulson, Lars Kai Hansen, Gunhild Waldemar
2008	—	`conf`	Semantic Contours in Tracks Based on Emotional Tags. CMMR Michael Kai Petersen, Lars Kai Hansen, Andrius Butkus
2008	J	`jnl`	Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen
2008	J	`jnl`	Structure learning by pruning in independent component analysis. Neurocomputing Andreas Brinch Nielsen, Lars Kai Hansen
2008	J	`jnl`	Theorems on Positive Data: On the Uniqueness of NMF. Comput. Intell. Neurosci. Hans Laurberg, Mads Græsbøll Christensen, Mark D. Plumbley, Lars Kai Hansen, Søren Holdt Jensen
2008	J	`jnl`	Use and Subtleties of Saddlepoint Approximation for Minimum Mean-Square Error Estimation. IEEE Trans. Inf. Theory Thomas Beierholm, Albert H. Nuttall, Lars Kai Hansen
2008	—	`conf`	Vocal Segment Classification in Popular Music. ISMIR Ling Feng, Andreas Brinch Nielsen, Lars Kai Hansen
2007	—	`conf`	Castsearch - Context Based Spoken Document Retrieval. ICASSP (4) Lasse Lohilahti Mølgaard, Kasper Winther Jørgensen, Lars Kai Hansen
2007	J	`jnl`	Effect of Spatial Alignment Transformations in PCA and ICA of Functional Neuroimages. IEEE Trans. Medical Imaging Ana S. Lukic, Miles N. Wernick, Yongyi Yang, Lars Kai Hansen, Konstantinos Arfanakis, Stephen C. Strother
2007	—	`conf`	Learning and clean-up in a large scale music database. EUSIPCO Lars Kai Hansen, Tue Lehn-Schiøler, Kaare Brandt Petersen, Jerónimo Arenas-García, Jan Larsen, Søren Holdt Jensen
2007	J	`jnl`	Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. Neural Comput. Mads Dyrholm, Scott Makeig, Lars Kai Hansen
2007	—	`conf`	NMF on Positron Emission Tomography. ICASSP (1) Bjarni Bödvarsson, Lars Kai Hansen, Claus Svarer, Gitte Moos Knudsen
2007	—	`conf`	On Affine Non-Negative Matrix Factorization. ICASSP (2) Hans Laurberg, Lars Kai Hansen
2007	—	`conf`	On the Relevance of Spectral Features for Instrument Classification. ICASSP (2) Andreas Brinch Nielsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jerónimo Arenas-García
2007	—	`conf`	Shifted Independent Component Analysis. ICA Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen
2007	J	`jnl`	Temporal Feature Integration for Music Genre Classification. IEEE Trans. Speech Audio Process. Anders Meng, Peter Ahrendt, Jan Larsen, Lars Kai Hansen
2006	—	`conf`	A Genre Classification Plug-in for Data Collection. ISMIR Tue Lehn-Schiøler, Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen
2006	—	`conf`	Adaptive regularization of noisy linear inverse problems. EUSIPCO Lars Kai Hansen, Kristoffer Hougaard Madsen, Tue Lehn-Schiøler
2006	—	`conf`	Blind Separation of More Sources than Sensors in Convolutive Mixtures. ICASSP (5) Rasmus Kongsgaard Olsson, Lars Kai Hansen
2006	—	`conf`	Cogito Componentiter Ergo Sum. ICA Lars Kai Hansen, Ling Feng
2006	C	`conf`	Detecting Weather Radar Clutter by Information Fusion With Satellite Images and Numerical Weather Prediction Model Output. IGARSS Thomas Bøvith, Allan Aasbjerg Nielsen, Lars Kai Hansen, Søren Overgaard, Rashpal S. Gill
2006	—	`conf`	Identification of non-linear models of neural activity in BOLD fMRI. ISBI Daniel J. Jacobsen, Kristoffer Hougaard Madsen, Lars Kai Hansen
2006	J	`jnl`	Linear State-Space Models for Blind Source Separation. J. Mach. Learn. Res. Rasmus Kongsgaard Olsson, Lars Kai Hansen
2006	—	`conf`	Model Structure Selection in Convolutive Mixtures. ICA Mads Dyrholm, Scott Makeig, Lars Kai Hansen
2006	—	`conf`	Optimal filtering of dynamics in short-time features for music organization. ISMIR Jerónimo Arenas-García, Jan Larsen, Lars Kai Hansen, Anders Meng
2006	J	`jnl`	Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. NeuroImage Morten Mørup, Lars Kai Hansen, Christoph S. Herrmann, Josef Parnas, Sidse Marie Arnfred
2006	—	`conf`	Phonemes as Short Time Cognitive Components. ICASSP (5) Ling Feng, Lars Kai Hansen
2006	—	`conf`	Pitch Based Sound Classification. ICASSP (3) Andreas Brinch Nielsen, Lars Kai Hansen, Ulrik Kjems
2006	J	`jnl`	Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm. Bioinform. Thomas Grotkjær, Ole Winther, Birgitte Regenberg, Jens Nielsen, Lars Kai Hansen
2006	—	`conf`	Sparse Kernel Orthonormalized PLS for feature extraction in large data sets. NIPS Jerónimo Arenas-García, Kaare Brandt Petersen, Lars Kai Hansen
2006	—	`conf`	Unsupervised speaker change detection for broadcast news segmentation. EUSIPCO Kasper Winther Jørgensen, Lasse Lohilahti Mølgaard, Lars Kai Hansen
2005	J	`jnl`	Mining the posterior cingulate: Segregation between memory and pain components. NeuroImage Finn Årup Nielsen, Daniela Balslev, Lars Kai Hansen
2005	—	`conf`	On Low-level Cognitive Components of Speech. CIMCA/IAWTIC Ling Feng, Lars Kai Hansen
2005	J	`jnl`	On the Slow Convergence of EM and VBEM in Low-Noise Linear Models. Neural Comput. Kaare Brandt Petersen, Ole Winther, Lars Kai Hansen
2004	—	`conf`	A Harmonic Excitation State-Space Approach to Blind Separation of Speech. NIPS Rasmus Kongsgaard Olsson, Lars Kai Hansen
2004	—	`conf`	CICAAR: Convolutive ICA with an Auto-regressive Inverse Model. ICA Mads Dyrholm, Lars Kai Hansen
2004	J	`jnl`	Detection of skin cancer by classification of Raman spectra. IEEE Trans. Biomed. Eng. Sigurdur Sigurdsson, Peter Alshede Philipsen, Lars Kai Hansen, Jan Larsen, Monika Gniadecka, Hans-Christian Wulf
2004	—	`conf`	Estimating the Number of Sources in a Noisy Convolutive Mixture Using BIC. ICA Rasmus Kongsgaard Olsson, Lars Kai Hansen
2004	J	`jnl`	Finding related functional neuroimaging volumes. Artif. Intell. Medicine Finn Årup Nielsen, Lars Kai Hansen
2004	—	`conf`	Mapping from Speech to Images Using Continuous State Space Models. MLMI Tue Lehn-Schiøler, Lars Kai Hansen, Jan Larsen
2004	J	`jnl`	Mining for associations between text and brain activation in a functional neuroimaging database. Neuroinformatics Finn Årup Nielsen, Lars Kai Hansen, Daniela Balslev
2004	—	`conf`	Probabilistic blind deconvolution of non-stationary sources. EUSIPCO Rasmus Kongsgaard Olsson, Lars Kai Hansen
2004	—	`conf`	Pruning The Vocabulary For Better Context Recognition. ICPR (2) Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen
2004	B	`conf`	Pruning the vocabulary for better context recognition. IJCNN Rasmus Elsborg Madsen, Sigurdur Sigurdsson, Lars Kai Hansen, Jan Larsen
2004	—	`conf`	Semi-blind source separation using head-related transfer functions [speech signal separation]. ICASSP (5) Michael Syskind Pedersen, Ulrik Kjems, Karsten Boye Rasmussen, Lars Kai Hansen
2003	—	`conf`	A prediction matrix approach to convolutive ICA. NNSP Lars Kai Hansen, Mads Dyrholm
2003	J	`jnl`	The Evaluation of Preprocessing Choices in Single-Subject BOLD fMRI Using NPAIRS Performance Metrics. NeuroImage Stephen LaConte, Jon R. Anderson, Suraj Muley, James Ashe, Sally Frutiger, Kelly Rehm, Lars Kai Hansen, Essa Yacoub, Xiaoping Hu, David A. Rottenberg, Stephen C. Strother
2002	—	`conf`	A spatially robust ICA algorithm for multiple fMRI data sets. ISBI Ana S. Lukic, Miles N. Wernick, Lars Kai Hansen, Jon R. Anderson, Stephen C. Strother
2002	—	`conf`	An ICA algorithm for analyzing multiple data sets. ICIP (2) Ana S. Lukic, Lars Kai Hansen, Miles N. Wernick, Stephen C. Strother
2002	J	`jnl`	Analysis of functional neuroimages using ICA with adaptive binary sources. Neurocomputing Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen
2002	—	`conf`	Clustering of Sun exposure measurements. NNSP Anna Szymkowiak-Have, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Elisabeth Thieden, Hans-Christian Wulf
2002	J	`jnl`	Exploring fMRI data for periodic signal components. Artif. Intell. Medicine Lars Kai Hansen, Finn Årup Nielsen, Jan Larsen
2002	J	`jnl`	Guest Editorial: Special Issue on Statistics of Shapes and Textures. J. Math. Imaging Vis. Mads Nielsen, Lars Kai Hansen, Peter Johansen, Jon Sporring
2002	—	`conf`	Independent component analysis for understanding multimedia content. NNSP Thomas Kolenda, Lars Kai Hansen, Jan Larsen, Ole Winther
2002	J	`jnl`	Mean-Field Approaches to Independent Component Analysis. Neural Comput. Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen
2002	Misc	`conf`	Outlier estimation and detection application to skin lesion classification. ICASSP Sigurdur Sigurdsson, Jan Larsen, Lars Kai Hansen, Peter Alshede Philipsen, Hans-Christian Wulf
2002	J	`jnl`	The Quantitative Evaluation of Functional Neuroimaging Experiments: Mutual Information Learning Curves. NeuroImage Ulrik Kjems, Lars Kai Hansen, Jon R. Anderson, Sally Frutiger, Suraj Muley, John J. Sidtis, David A. Rottenberg, Stephen C. Strother
2002	J	`jnl`	The Quantitative Evaluation of Functional Neuroimaging Experiments: The NPAIRS Data Analysis Framework. NeuroImage Stephen C. Strother, Jon R. Anderson, Lars Kai Hansen, Ulrik Kjems, Rafal Kustra, John J. Sidtis, Sally Frutiger, Suraj Muley, Stephen LaConte, David A. Rottenberg
2002	Misc	`conf`	Time series prediction based on the Relevance Vector Machine with adaptive kernels. ICASSP Joaquin Quiñonero Candela, Lars Kai Hansen
2001	Misc	`conf`	Blind detection of independent dynamic components. ICASSP Lars Kai Hansen, Jan Larsen, Thomas Kolenda
2001	Misc	`conf`	Dynamic components of linear stable mixtures from fractional low order moments. ICASSP Thomas Fabricius, Preben Kidmose, Lars Kai Hansen
2000	—	`conf`	Ensemble Learning and Linear Response Theory for ICA. NIPS Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen
2000	—	`conf`	Generalizable Singular Value Decomposition for Ill-posed Datasets. NIPS Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother
2000	Misc	`conf`	Modeling text with generalizable Gaussian mixtures. ICASSP Lars Kai Hansen, Sigurdur Sigurdsson, Thomas Kolenda, Finn Årup Nielsen, Ulrik Kjems, Jan Larsen
2000	J	`jnl`	Modelling the Haemodynamic Response in fMRI with Smooth FIR Filters. IEEE Trans. Medical Imaging Cyril Goutte, Finn Årup Nielsen, Lars Kai Hansen
1999	—	`conf`	Bayesian Averaging is Well-Temperated. NIPS Lars Kai Hansen
1999	—	`conf`	Bayesian Modelling of fMRI lime Series. NIPS Pedro A. d. F. R. Højen-Sørensen, Lars Kai Hansen, Carl Edward Rasmussen
1999	J	`jnl`	Enhancing the Multivariate Signal of [15O] water PET Studies with a New Non-Linear Neuroanatomical Registration Algorithm. IEEE Trans. Medical Imaging Ulrik Kjems, Stephen C. Strother, Jon R. Anderson, Ian Law, Lars Kai Hansen
1999	Misc	`conf`	Sonar discrimination of cylinders from different angles using neural networks. ICASSP Lars Nonboe Andersen, Whitlow W. L. Au, Jan Larsen, Lars Kai Hansen
1998	Misc	`conf`	Design of robust neural network classifiers. ICASSP Jan Larsen, Lars Nonboe Andersen, Mads Hintz-Madsen, Lars Kai Hansen
1998	J	`jnl`	Neural classifier construction using regularization, pruning and test error estimation. Neural Networks Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen
1998	J	`jnl`	Quantitative Analysis of Ultrasound B-mode images of Carotid Atherosclerotic Plaque: Correlation with Visual Classification and Histological Examination. IEEE Trans. Medical Imaging Jens E. Wilhjelm, M.-L. M. Grønholdt, B. Wiebe, S. K. Jespersen, Lars Kai Hansen, H. Sillesen
1997	Misc	`conf`	Early stop criterion from the bootstrap ensemble. ICASSP Lars Kai Hansen, Jan Larsen, Torben Fog
1997	J	`jnl`	Generalization: The Hidden Agenda of Learning. IEEE Signal Process. Mag. Jan Larsen, Lars Kai Hansen
1997	—	`conf`	Interactive Information Visualization in Neuroimaging. Workshop on New Paradigms in Information Visualization and Manipulation Finn Årup Nielsen, Lars Kai Hansen
1997	—	`conf`	Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover. IPMI Niels J. S. Mørch, Lars Kai Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, Robert L. Savoy, Olaf B. Paulson
1997	J	`jnl`	Regularization with a Pruning Prior. Neural Networks Cyril Goutte, Lars Kai Hansen
1997	J	`jnl`	Universal Distribution of Saliencies for Pruning in Layered Neural Networks. Int. J. Neural Syst. Jan Gorodkin, Lars Kai Hansen, Benny Lautrup, Sara A. Solla
1996	—	`ch.`	Adaptive Regularization in Neural Network Modeling. Neural Networks: Tricks of the Trade Jan Larsen, Claus Svarer, Lars Nonboe Andersen, Lars Kai Hansen
1996	J	`jnl`	Linear unlearning for cross-validation. Adv. Comput. Math. Lars Kai Hansen, Jan Larsen
1996	Misc	`conf`	Revisiting Boltzmann learning: parameter estimation in Markov random fields. ICASSP Lars Kai Hansen, Lars Nonboe Andersen, Ulrik Kjems, Jan Larsen
1996	—	`conf`	Unsupervised learning and generalization. ICNN Lars Kai Hansen, Jan Larsen
1995	—	`conf`	Pruning with generalization based weight saliencies: gamma-OBD, gamma-OBS. NIPS Morten With Pedersen, Lars Kai Hansen, Jan Larsen
1995	—	`conf`	Training and evaluation of neural networks for multi-variate time series processing. ICNN Torben Fog, Jan Larsen, Lars Kai Hansen
1995	—	`conf`	Visualization of neural networks using saliency maps. ICNN Niels J. S. Mørch, Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, Benny Lautrup, Stephen C. Strother, Kelly Rehm
1994	J	`jnl`	Book Review: "Time Series Prediction: Forecasting the Future and Understanding the Past", Eds. Andreas S. Weigend and Neil A. Gershenfeld. Int. J. Neural Syst. Lars Kai Hansen
1994	J	`jnl`	Pruning from Adaptive Regularization. Neural Comput. Lars Kai Hansen, Carl Edward Rasmussen
1994	—	`conf`	Recurrent Networks: Second Order Properties and Pruning. NIPS Morten With Pedersen, Lars Kai Hansen
1993	J	`jnl`	A Quantitative Study Of Pruning By Optimal Brain Damage. Int. J. Neural Syst. Jan Gorodkin, Lars Kai Hansen, Anders Krogh, Claus Svarer, Ole Winther
1993	—	`conf`	On design and evaluation of tapped-delay neural network architectures. ICNN Claus Svarer, Lars Kai Hansen, Jan Larsen
1993	J	`jnl`	On the Robustness of Maximum Entropy Relationships for Complexity Distributions of Nucleotide Sequences. Comput. Chem. Peter Salamon, John C. Wootton, Andrzej K. Konopka, Lars Kai Hansen
1993	J	`jnl`	Stochastic linear learning: Exact test and training error averages. Neural Networks Lars Kai Hansen
1990	J	`jnl`	Neural Network Ensembles. IEEE Trans. Pattern Anal. Mach. Intell. Lars Kai Hansen, Peter Salamon