Marcel van Gerven

According to our database, Marcel van Gerven authored at least 117 papers between 2004 and 2024.

Collaborative distances:

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

2024

Universal Differential Equations as a Common Modeling Language for Neuroscience.

Ahmed ElGazzar, Marcel van Gerven

CoRR, 2024

2023

Advancements in spiking neural network communication and synchronization techniques for event-driven neuromorphic systems.

Mahyar Shahsavari, David B. Thomas, Marcel van Gerven, Andrew D. Brown, Wayne Luk

Array, December, 2023

Gradient-adjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks.

Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven

Trans. Mach. Learn. Res., 2023

Constrained Parameter Inference as a Principle for Learning.

Nasir Ahmad, Ellen Schrader, Marcel van Gerven

Trans. Mach. Learn. Res., 2023

Effective Learning with Node Perturbation in Deep Neural Networks.

Sander Dalm, Marcel van Gerven, Nasir Ahmad

CoRR, 2023

A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis.

Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis.

Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera

IEEE Trans. Affect. Comput., 2022

Modeling, Recognizing, and Explaining Apparent Personality From Videos.

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier

IEEE Trans. Affect. Comput., 2022

Predictive coding is a consequence of energy efficiency in recurrent neural networks.

Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann

Patterns, 2022

Explainable Deep Learning: A Field Guide for the Uninitiated.

Gabrielle Ras, Ning Xie, Marcel van Gerven, Derek Doran

J. Artif. Intell. Res., 2022

Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning.

Burcu Küçükoglu, Bodo Rueckauer, Nasir Ahmad, Jaap de Ruyter van Steveninck, Umut Güçlü, Marcel van Gerven

Int. J. Neural Syst., 2022

Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization.

Burcu Küçükoglu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven

CoRR, 2022

Learning Policies for Continuous Control via Transition Models.

Justus F. Hübotter, Serge Thill, Marcel van Gerven, Pablo Lanillos

Proceedings of the Active Inference - Third International Workshop, 2022

Experiencing Prosthetic Vision with Event-Based Sensors.

Bodo Rueckauer, Marcel van Gerven

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Towards Naturalistic Speech Decoding from Intracranial Brain Data.

Julia Berezutskaya, Luca Ambrogioni, Nick F. Ramsey, Marcel A. J. van Gerven

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

End-to-end neural system identification with neural information flow.

Katja Seeliger, Luca Ambrogioni, Yagmur Güçlütürk, L. M. van den Bulk, Umut Güçlü, Marcel A. J. van Gerven

PLoS Comput. Biol., 2021

Detecting neural state transitions underlying event segmentation.

Linda Geerligs, Marcel van Gerven, Umut Güçlü

NeuroImage, 2021

Brain-inspired Learning Drives Advances in Neuromorphic Computing.

Nasir Ahmad, Bodo Rueckauer, Marcel van Gerven

ERCIM News, 2021

Neuroscience-inspired perception-action in robotics: applying active inference for state estimation, control and self-perception.

Pablo Lanillos, Marcel van Gerven

CoRR, 2021

Scaling up learning with GAIT-prop.

Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven

CoRR, 2021

Automatic variational inference with cascading flows.

Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven

Proceedings of the 38th International Conference on Machine Learning, 2021

Automatic structured variational inference.

Luca Ambrogioni, Kate Lin, Emily Fertig, Sharad Vikram, Max Hinne, Dave Moore, Marcel van Gerven

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Classifying sex and strain from mouse ultrasonic vocalizations using deep learning.

Alexander Ivanenko, Paul V. Watkins, Marcel A. J. van Gerven, K. Hammerschmidt, Bernhard Englitz

PLoS Comput. Biol., 2020

Brain-optimized extraction of complex sound features that drive continuous auditory perception.

Julia Berezutskaya, Zachary Freudenburg, Umut Güçlü, Marcel A. J. van Gerven, Nick F. Ramsey

PLoS Comput. Biol., 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

Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations.

Gabriëlle Ras, Luca Ambrogioni, Pim Haselager, Marcel A. J. van Gerven, Umut Güçlü

CoRR, 2020

Virtual staining for mitosis detection in Breast Histopathology.

Caner Mercan, Germonda Reijnen-Mooij, David Tellez Martin, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

CoRR, 2020

Spike-Timing-Dependent Inference of Synaptic Weights.

Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven

CoRR, 2020

Automatic structured variational inference.

Luca Ambrogioni, Max Hinne, Marcel van Gerven

CoRR, 2020

The Indian Chefs Process.

Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette

CoRR, 2020

The Indian Chefs Process.

Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

GAIT-prop: A biologically plausible learning rule derived from backpropagation of error.

Nasir Ahmad, Marcel A. J. van Gerven, Luca Ambrogioni

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Deep Active Inference Model of the Rubber-Hand Illusion.

Thomas Rood, Marcel van Gerven, Pablo Lanillos

Proceedings of the Active Inference - First International Workshop, 2020

Virtual Staining for Mitosis Detection in Breast Histopathology.

Caner Mercan, G. C. A. M. Mooij, David Tellez, Johannes Lotz, Nick Weiss, Marcel van Gerven, Francesco Ciompi

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

End-to-End Pixel-Based Deep Active Inference for Body Perception and Action.

Cansu Sancaktar, Marcel A. J. van Gerven, Pablo Lanillos

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019

Current Advances in Neural Decoding.

Marcel A. J. van Gerven, Katja Seeliger, Umut Güçlü, Yagmur Güçlütürk

Proceedings of the Explainable AI: Interpreting, 2019

Eye movements explain decodability during perception and cued attention in MEG.

Silvan C. Quax, Nadine Dijkstra, Mariel J. van Staveren, Sander E. Bosch, Marcel A. J. van Gerven

NeuroImage, 2019

Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks.

Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven

CoRR, 2019

Causal inference using Bayesian non-parametric quasi-experimental design.

Max Hinne, Marcel A. J. van Gerven, Luca Ambrogioni

CoRR, 2019

Modulation of early visual processing alleviates capacity limits in solving multiple tasks.

Sushrut Thorat, Giacomo Aldegheri, Marcel A. J. van Gerven, Marius V. Peelen

CoRR, 2019

k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport.

Luca Ambrogioni, Umut Güçlü, Marcel van Gerven

CoRR, 2019

The functional role of cue-driven feature-based feedback in object recognition.

Sushrut Thorat, Marcel van Gerven, Marius V. Peelen

CoRR, 2019

Temporal Factorization of 3D Convolutional Kernels.

Gabrielle Ras, Luca Ambrogioni, Umut Güçlü, Marcel van Gerven

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Forward Amortized Inference for Likelihood-Free Variational Marginalization.

Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel van Gerven

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity.

Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel van Gerven, Eric Maris

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Simulating neuroprosthetic vision for emotion recognition.

Caroline J. M. Bollen, Umut Güçlü, Richard J. A. van Wezel, Marcel A. J. van Gerven, Yagmur Güçlütürk

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019

2018

Multimodal First Impression Analysis with Deep Residual Networks.

Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier

IEEE Trans. Affect. Comput., 2018

Generative adversarial networks for reconstructing natural images from brain activity.

Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, Marcel A. J. van Gerven

NeuroImage, 2018

Convolutional neural network-based encoding and decoding of visual object recognition in space and time.

Katja Seeliger, M. Fritsche, Umut Güçlü, Sanne Schoenmakers, Jan-Mathijs Schoffelen, Sander E. Bosch, Marcel van Gerven

NeuroImage, 2018

New advances in encoding and decoding of brain signals.

Chris I. Baker, Marcel van Gerven

NeuroImage, 2018

Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.

Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Marcel van Gerven

CoRR, 2018

First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis.

Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera

CoRR, 2018

Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges.

Gabrielle Ras, Marcel van Gerven, Pim Haselager

CoRR, 2018

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability.

Marjolein Troost, Katja Seeliger, Marcel van Gerven

CoRR, 2018

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos.

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier

CoRR, 2018

Wasserstein Variational Inference.

Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Dynamic decomposition of spatiotemporal neural signals.

Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris

PLoS Comput. Biol., 2017

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects.

Umut Güçlü, Marcel A. J. van Gerven

NeuroImage, 2017

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks.

Umut Güçlü, Marcel A. J. van Gerven

Frontiers Comput. Neurosci., 2017

Editorial: Artificial Neural Networks as Models of Neural Information Processing.

Marcel van Gerven, Sander M. Bohté

Frontiers Comput. Neurosci., 2017

Computational Foundations of Natural Intelligence.

Marcel van Gerven

Frontiers Comput. Neurosci., 2017

Deep adversarial neural decoding.

Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel van Gerven

CoRR, 2017

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks.

Umut Güçlü, Yagmur Güçlütürk, Meysam Madadi, Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Rob van Lier, Marcel A. J. van Gerven

CoRR, 2017

Reconstructing perceived faces from brain activations with deep adversarial neural decoding.

Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel A. J. van Gerven

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GP CaKe: Effective brain connectivity with causal kernels.

Luca Ambrogioni, Max Hinne, Marcel van Gerven, Eric Maris

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Design of an explainable machine learning challenge for video interviews.

Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Júlio C. S. Jacques Júnior, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Visualizing Apparent Personality Analysis with Deep Residual Networks.

Yagmur Güçlütürk, Umut Güçlü, Marc Pérez, Hugo Jair Escalante, Xavier Baró, Carlos Andújar, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Decoding of task-relevant and task-irrelevant intracranial EEG representations.

Marieke E. van de Nieuwenhuijzen, Nikolai Axmacher, Jürgen Fell, Carina Renate Oehrn, Ole Jensen, Marcel van Gerven

NeuroImage, 2016

Preference for Audiovisual Speech Congruency in Superior Temporal Cortex.

Claudia S. Lüttke, Matthias Ekman, Marcel A. J. van Gerven, Floris P. de Lange

J. Cogn. Neurosci., 2016

Brains on Beats.

Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven, Marcel A. J. van Gerven

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

Brains on Beats.

Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven, Marcel A. J. van Gerven

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

Predicting and visualizing psychological attributions with a deep neural network.

Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Convolutional Sketch Inversion.

Yagmur Güçlütürk, Umut Güçlü, Rob van Lier, Marcel A. J. van Gerven

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition.

Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Disentangled Representations for Volumetric Reconstruction.

Edward Grant, Pushmeet Kohli, Marcel van Gerven

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.

Max Hinne, Ronald J. Janssen, Tom Heskes, Marcel A. J. van Gerven

PLoS Comput. Biol., 2015

Measuring directionality between neuronal oscillations of different frequencies.

Haiteng Jiang, Ali Bahramisharif, Marcel A. J. van Gerven, Ole Jensen

NeuroImage, 2015

Probabilistic model-based functional parcellation reveals a robust, fine-grained subdivision of the striatum.

Ronald J. Janssen, P. Jylänki, Roy P. C. Kessels, Marcel A. J. van Gerven

NeuroImage, 2015

Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings.

Irina Simanova, Marcel A. J. van Gerven, Robert Oostenveld, Peter Hagoort

J. Cogn. Neurosci., 2015

Modality-specific Alpha Modulations Facilitate Long-term Memory Encoding in the Presence of Distracters.

Haiteng Jiang, Marcel A. J. van Gerven, Ole Jensen

J. Cogn. Neurosci., 2015

Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences.

Miguel Angel Lopez-Gordo, Daniel Sánchez Morillo, Marcel A. J. van Gerven

Int. J. Neural Syst., 2015

Predicting psychological attributions from face photographs with a deep neural network.

Edward Grant, Stephan Sahm, Mariam Zabihi, Marcel van Gerven

CoRR, 2015

Hidden Markov Models for Reading Words from the Human Brain.

Sanne Schoenmakers, Tom Heskes, Marcel van Gerven

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images.

Umut Güçlü, Marcel A. J. van Gerven

PLoS Comput. Biol., 2014

Structurally-informed Bayesian functional connectivity analysis.

Max Hinne, Luca Ambrogioni, Ronald J. Janssen, Tom Heskes, Marcel A. J. van Gerven

NeuroImage, 2014

Gaussian mixture models and semantic gating improve reconstructions from human brain activity.

Sanne Schoenmakers, Umut Güçlü, Marcel van Gerven, Tom Heskes

Frontiers Comput. Neurosci., 2014

Quantifying uncertainty in brain network measures using Bayesian connectomics.

Ronald J. Janssen, Max Hinne, Tom Heskes, Marcel A. J. van Gerven

Frontiers Comput. Neurosci., 2014

Gaussian mixture models improve fMRI-based image reconstruction.

Sanne Schoenmakers, Marcel van Gerven, Tom Heskes

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

2013

Linear reconstruction of perceived images from human brain activity.

Sanne Schoenmakers, Markus Barth, Tom Heskes, Marcel van Gerven

NeuroImage, 2013

MEG-based decoding of the spatiotemporal dynamics of visual category perception.

Marieke E. van de Nieuwenhuijzen, A. R. Backus, Ali Bahramisharif, Christian F. Doeller, Ole Jensen, Marcel A. J. van Gerven

NeuroImage, 2013

Bayesian inference of structural brain networks.

Max Hinne, Tom Heskes, Christian F. Beckmann, Marcel A. J. van Gerven

NeuroImage, 2013

Decoding the memorization of individual stimuli with direct human brain recordings.

Marcel A. J. van Gerven, Eric Maris, Michael R. Sperling, Ashwini Sharan, Brian Litt, Christopher Anderson, Gordon Baltuch, Joshua Jacobs

NeuroImage, 2013

Bayesian Sparse Partial Least Squares.

Diego Vidaurre, Marcel A. J. van Gerven, Concha Bielza, Pedro Larrañaga, Tom Heskes

Neural Comput., 2013

2012

A Linear Gaussian Framework for Decoding of Perceived Images.

Marcel A. J. van Gerven, Tom Heskes

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012

2011

On the use of interaction error potentials for adaptive brain computer interfaces.

Alberto Llera, Marcel A. J. van Gerven, Vicenç Gómez, Ole Jensen, Hilbert J. Kappen

Neural Networks, 2011

Dynamic decoding of ongoing perception.

Marcel van Gerven, Peter Kok, Floris P. de Lange, Tom Heskes

NeuroImage, 2011

Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing.

Hans J. P. Wouters, Marcel A. J. van Gerven, Matthias Sebastian Treder, Tom Heskes, Ali Bahramisharif

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

The Dynamic Beamformer.

Ali Bahramisharif, Marcel A. J. van Gerven, Jan-Mathijs Schoffelen, Zoubin Ghahramani, Tom Heskes

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

A Markov Random Field Approach to Neural Encoding and Decoding.

Marcel van Gerven, Eric Maris, Tom Heskes

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Design Issues for Pen-Centric Interactive Maps.

Louis Vuurpijl, Don Willems, Ralph Niels, Marcel van Gerven

Proceedings of the Interactive Collaborative Information Systems, 2010

Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.

Marcel A. J. van Gerven, Botond Cseke, Floris P. de Lange, Tom Heskes

NeuroImage, 2010

Neural Decoding with Hierarchical Generative Models.

Marcel van Gerven, Floris P. de Lange, Tom Heskes

Neural Comput., 2010

2009

Iconic and multi-stroke gesture recognition.

Don Willems, Ralph Niels, Marcel van Gerven, Louis Vuurpijl

Pattern Recognit., 2009

Selecting features for BCI control based on a covert spatial attention paradigm.

Marcel van Gerven, Ali Bahramisharif, Tom Heskes, Ole Jensen

Neural Networks, 2009

Interpreting single trial data using groupwise regularisation.

Marcel van Gerven, Christian Hesse, Ole Jensen, Tom Heskes

NeuroImage, 2009

Bayesian Source Localization with the Multivariate Laplace Prior.

Marcel van Gerven, Botond Cseke, Robert Oostenveld, Tom Heskes

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Exploring the impact of alternative feature representations on BCI classification.

Ali Bahramisharif, Marcel van Gerven, Tom Heskes

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Dynamic Bayesian networks as prognostic models for clinical patient management.

Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas

J. Biomed. Informatics, 2008

A generic qualitative characterization of independence of causal influence.

Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide

Int. J. Approx. Reason., 2008

2007

Predicting carcinoid heart disease with the noisy-threshold classifier.

Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas

Artif. Intell. Medicine, 2007

Selecting treatment strategies with dynamic limited-memory influence diagrams.

Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas

Artif. Intell. Medicine, 2007

2006

Selecting Strategies for Infinite-Horizon Dynamic LIMIDS.

Marcel van Gerven, Francisco Javier Díez

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005

A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials.

Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Guidelines for Probabilistic Model Qualification.

Marcel van Gerven

Proceedings of the BNAIC 2005, 2005

2004

Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains.

Marcel van Gerven, Peter J. F. Lucas

Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Employing Maximum Mutual Information for Bayesian Classification.

Marcel van Gerven, Peter J. F. Lucas

Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004