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Full Text	Issue Date	Title	Author(s)
	2013	Efficiently learning the preferences of people	Birlutiu, A.; Groot, P.; Heskes, T.
	2013	Bayesian inference of structural brain networks	Hinne, M.; Heskes, T.M.; Beckmann, C.F.; Gerven, M.A.J. van
	2012	A Bayesian Approach to Constraint Based Causal Inference	Claassen, T.; Heskes, T.
	2012	Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing	Wouters, H.J.P.; Gerven, M.A.J. van; Treder, M.S.; Heskes, T.; Bahramisharif, A.
	2012	Online Co-regularized Algorithms	Ruijter, T.; Tsivtsivadze, E.; Heskes, T.
	2012	Large Scale Co-Regularized Ranking	Tsivtsivadze, E.; Hofmann, K.; Heskes, T.
	2012	Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics	Kühlwein, D.; Laarhoven, T.M. van; Tsivtsivadze, E.; Urban, J.; Heskes, T.
	2012	Molecular Machines in the Synapse: Overlapping Protein Sets Control Distinct Steps in Neurosecretion	Cornelisse, L.; Tsivtsivadze, E.; Meijer, M.; Dijkstra, T.M.H.; Heskes, T.; Verhage, M.
	2012	A Linear Gaussian Framework for Decoding of Perceived Images	Gerven, M.A.J. van; Heskes, T.M.
	2012	The Dynamic Beamformer	Bahramisharif, A.; Gerven, M.A.J. van; Schoffelen, J.M.; Ghahramani, Z.; Heskes, T.
	2012	The Dynamic Beamformer	Bahramisharif, A.; Gerven, M.A.J. van; Schoffelen, J.M.; Ghahramani, Z.; Heskes, T.M.
	2012	On the decoding of intracranial data using sparse orthonormalized partial least squares	Gerven, M.A.J. van; Chao, Z.C.; Heskes, T.M.
	2012	Covert attention as a paradigm for subject-independent brain-computer interfacing	Wouters, H.J.P.; Gerven, M.A.J. van; Heskes, T.M.; Treder, M.S.; Bahramisharif, A.
	2011	Properties of bethe free energies and message passing in gaussian models	Cseke, B.; Heskes, T.
	2011	Proof supplement to: A logical characterization of constraint-based causal discovery	Claassen, T.; Heskes, T.
	2011	Dynamic decoding of ongoing perception	Gerven, M.A.J. van; Kok, P.; Lange, F.P. de; Heskes, T.M.
	2011	Semantic Graph Kernels for Automated Reasoning	Tsivtsivadze, E.; Urban, J.; Geuvers, H.; Heskes, T.
	2011	On causal discovery with cyclic additive noise model	Mooij, J.M.; Janzing, D.; Heskes, T.; Schölkopf, B.
	2011	Expectation propagation and generalised EP methods for inference in switching linear dynamical systems	Zoeter, Onno; Heskes, T.
	2011	Multi-Output Ranking for Automated Reasoning	Kühlwein, D.A.; Urban, J.; Tsivtsivadze, E.; Geuvers, H.; Heskes, T.
	2011	Co-Regularized Least-Squares for Label Ranking	Tsivtsivadze, E.; Pahikkala, T.; Boberg, J.; Salakoski, T.; Heskes, T.
	2011	Learning of causal relations	Quinn, J.; Mooij, J.M.; Heskes, T.; Biehl, M.
	2011	Learning from multiple annotators with Gaussian processes	Groot, P.; Birlutiu, A.; Heskes, T.
	2011	Learning2Reason	Kühlwein, D.A.; Urban, J.; Tsivtsivadze, E.; Geuvers, H.; Heskes, T.
	2011	A structure independent algorithm for causal discovery	Claassen, T.; Heskes, T.
	2011	A logical characterization of constraint-based causal discovery	Claassen, T.; Heskes, T.
	2011	A Markov Random Field Approach to Neural Encoding and Decoding	Gerven, M.A.J. van; Maris, E.; Heskes, T.M.
	2011	Dynamic decoding of ongoing perception	Gerven, M.A.J. van; Kok, P.H.J.; Lange, F.P. de; Heskes, T.M.
	2011	Lateralized responses during covert attention are modulated by target eccentricity	Bahramisharif, A.; Heskes, T.M.; Jensen, O.; Gerven, M.A.J. van
	2010	Arrowhead completeness from minimal conditional independencies	Claassen, T.; Heskes, T.
	2010	Approximate marginals in latent Gaussian models	Cseke, B.; Heskes, T.
	2010	Pattern Recognition in Bioinformatics : 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010. Proceedings	Dijkstra, T.M.H.; Tsivtsivadze, E.; Marchiori, E.; Heskes, T.
	2010	Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes	Groot, P.; Heskes, T.; Dijkstra, T.M.H.; Kates, J.M.
	2010	Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior	Gerven, M.A.J. van; Cseke, B.; Lange, F.P. de; Heskes, T.M.
	2010	Improving posterior marginal approximations in latent Gaussian models	Cseke, B.; Heskes, T.
	2010	Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior	Gerven, M.A.J. van; Cseke, B.; Lange, F.P. de; Heskes, T.
	2010	Efficient Remote Homology Detection	Janssen, A.; Tsivtsivadze, E.; Boberg, J.; Dijkstra, T.M.H.; Heskes, T.
	2010	Sparse Preference Learning	Tsivtsivadze, E.; Heskes, T.
	2010	Co-Regularized Least-Squares for Label Ranking	Tsivtsivadze, E.; Pahikkala, T.; Boberg, J.; Salakoski, T.; Heskes, T.M.
	2010	Learning causal network structure from multiple (in)dependence models	Claassen, T.; Heskes, T.
	2010	Covert attention allows for continuous control of brain-computer interfaces	Bahramisharif, A.; Gerven, M. van; Heskes, T.; Jensen, O.
	2010	Sparse orthonormalized partial least squares	Gerven, M. van; Heskes, T.
	2010	Multi-task preference learning with an application to hearing aid personalization	Birlutiu, Adriana; Groot, P.; Heskes, T.
	2010	Causal discovery in multiple models from different experiments	Claassen, T.; Heskes, T.
	2010	Bayesian Monte Carlo for the global optimization of expensive functions	Groot, P.; Birlutiu, Adriana; Heskes, T.
	2010	Regularized Output Kernel Regression for protein-protein interaction prediction: application to link transfer and transduction	Alche, F. d'; Birlutiu, A.; Brouard, C.; Heskes, T.; Szafranski, M.
	2010	Neural Decoding with Hierarchical Generative Models	Gerven, M.A.J. van; Lange, F.P. de; Heskes, T.M.
	2010	Covert attention allows for continuous control of brain-computer interfaces	Bahramisharif, A.; Gerven, M.A.J. van; Heskes, T.M.; Jensen, O.
	2009	Computers met Hersenen	Heskes, T.M.
	2009	Identification of Presynaptic Gene Clusters in Synaptic Signaling using Functional Data from Genetic Perturbation Studies in Hippocampal Autapses	Cornelisse, N.L.; Tsivtsivadze, E.; Meijer, Marieke; Dijkstra, T.M.H.; Heskes, T.M.; Verhage, M.; Segev, I.

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