Johan Kwisthout

68 papers A 2B 11C 5Journal 29Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancements in Real-Time Oncology Diagnosis: Harnessing AI and Image Fusion Techniques. CoRR Leila Bagheriye, Johan Kwisthout
2025	J	`jnl`	Fairness Evaluation of Risk Estimation Models for Lung Cancer Screening. CoRR Shaurya Gaur, Michel Vitale, Alessa Hering, Johan Kwisthout, Colin Jacobs, Lena Philipp, Fennie van der Graaf
2025	C	`conf`	Inverse Marginalisation for Safely Expanding Bayesian Networks. ECSQARU Johan Kwisthout, Silja Renooij
2025	J	`jnl`	Special issue on the Twelfth International Conference on Probabilistic Graphical Models (PGM 2024). Int. J. Approx. Reason. Silja Renooij, Johan Kwisthout, Janneke H. Bolt
2025	B	`conf`	The Role of Structural Input Features in Statistical Learning. CogSci Danaja Rutar, Erwin de Wolff, Johan Kwisthout
2024	J	`jnl`	Cancer Subtype Identification Through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. IEEE Access Mark Peelen, Leila Bagheriye, Johan Kwisthout
2024	—	`ed.`	International Conference on Probabilistic Graphical Models, De Lindenberg, Nijmegen, the Netherlands, 11-13 September 2024. PGM Johan Kwisthout, Silja Renooij
2024	J	`jnl`	Neural Population Decoding and Imbalanced Multi-Omic Datasets For Cancer Subtype Diagnosis. CoRR Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout
2024	—	`conf`	Neural Population Decoding and Imbalanced Multi-Omic Datasets for Cancer Subtype Diagnosis. BIOSTEC (1) Charles Theodore Kent, Leila Bagheriye, Johan Kwisthout
2024	—	`conf`	Preface. PGM Johan Kwisthout, Silja Renooij
2024	—	`conf`	Solving Minimum Spanning Tree Problem in Spiking Neural Networks: Improved Results. ICONS Simon Janssen, Stijn Groenen, Simon Reichert, Johan Kwisthout
2024	J	`jnl`	Speeding up approximate MAP by applying domain knowledge about relevant variables. CoRR Johan Kwisthout, Andrew Schroeder
2023	J	`jnl`	Bayesian Integration of Information Using Top-Down Modulated WTA Networks. CoRR Otto van der Himst, Leila Bagheriye, Johan Kwisthout
2023	J	`jnl`	Cancer Subtype Identification through Integrating Inter and Intra Dataset Relationships in Multi-Omics Data. CoRR Mark Peelen, Leila Bagheriye, Johan Kwisthout
2023	J	`jnl`	Motivating explanations in Bayesian networks using MAP-independence. Int. J. Approx. Reason. Johan Kwisthout
2022	J	`jnl`	Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics. CoRR Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink
2022	J	`jnl`	From representations in predictive processing to degrees of representational features. Minds Mach. Danaja Rutar, Wanja Wiese, Johan Kwisthout
2022	J	`jnl`	Motivating explanations in Bayesian networks using MAP-independence. CoRR Johan Kwisthout
2022	—	`conf`	Parameterized Completeness Results for Bayesian Inference. PGM Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout
2022	J	`jnl`	Parameterized Complexity Results for Bayesian Inference. CoRR Hans L. Bodlaender, Nils Donselaar, Johan Kwisthout
2022	—	`conf`	Speeding up approximate MAP by applying domain knowledge about relevant variables. PGM Johan Kwisthout
2021	B	`conf`	Certainly Strange: A Probabilistic Perspective on Ignorance. CogSci Erwin de Wolff, Iris van Rooij, Johan Kwisthout
2021	C	`conf`	Explainable AI Using MAP-Independence. ECSQARU Johan Kwisthout
2020	—	`conf`	A Spiking Neuron Implementation of Genetic Algorithms for Optimization. BNAIC/BENELEARN (Selected Papers) Siegfried Ludwig, Joeri Hartjes, Bram Pol, Gabriela Rivas, Johan Kwisthout
2020	—	`conf`	From Models of Cognition to Robot Control and Back Using Spiking Neural Networks. Living Machines Stefan Iacob, Johan Kwisthout, Serge Thill
2020	—	`conf`	On the computational power and complexity of Spiking Neural Networks. NICE Johan Kwisthout, Nils Donselaar
2020	J	`jnl`	On the computational power and complexity of Spiking Neural Networks. CoRR Johan Kwisthout, Nils Donselaar
2019	J	`jnl`	A spiking neural algorithm for the Network Flow problem. CoRR Abdullahi Ali, Johan Kwisthout
2019	—	`book`	Cognition and intractability: a guide to classical and parameterized complexity analysis. Iris van Rooij, Mark Blokpoel, Johan Kwisthout, Todd Wareham
2019	J	`jnl`	Processing of Prediction Errors in Mentalizing Areas. J. Cogn. Neurosci. Lieke Heil, Olympia Colizoli, Egbert Hartstra, Johan Kwisthout, Stan van Pelt, Iris van Rooij, Harold Bekkering
2018	J	`jnl`	Approximate inference in Bayesian networks: Parameterized complexity results. Int. J. Approx. Reason. Johan Kwisthout
2018	—	`conf`	Finding Dissimilar Explanations in Bayesian Networks: Complexity Results. BNCAI Johan Kwisthout
2018	J	`jnl`	Finding dissimilar explanations in Bayesian networks: Complexity results. CoRR Johan Kwisthout
2018	J	`jnl`	Rational analysis, intractability, and the prospects of 'as if'-explanations. Synth. Iris van Rooij, Cory D. Wright, Johan Kwisthout, Todd Wareham
2017	J	`jnl`	Community-based influence maximization in social networks under a competitive linear threshold model. Knowl. Based Syst. Arastoo Bozorgi, Saeed Samet, Johan Kwisthout, Todd Wareham
2017	B	`conf`	Perception is in the Details: A Predictive Coding Account of the Psychedelic Phenomenon. CogSci Sarit Pink-Hashkes, Iris van Rooij, Johan Kwisthout
2016	—	`conf`	Causal learning in the Crib: A predictive processing formalization and babybot simulation. ICDL-EPIROB Maria Otworowska, Lorijn Zaadnoordijk, Erwin de Wolff, Johan Kwisthout, Iris van Rooij
2016	—	`conf`	The Parameterized Complexity of Approximate Inference in Bayesian Networks. Probabilistic Graphical Models Johan Kwisthout
2016	—	`conf`	The mobile-paradigm as measure of infants' sense of agency? Insights from babybot simulations. ICDL-EPIROB Lorijn Zaadnoordijk, Maria Otworowska, Johan Kwisthout, Sabine Hunnius, Iris van Rooij
2015	J	`jnl`	Most frugal explanations in Bayesian networks. Artif. Intell. Johan Kwisthout
2015	—	`conf`	The developing sense of agency: Implications from cognitive phenomenology. ICDL-EPIROB Lorijn Zaadnoordijk, Sabine Hunnius, Marlene Meyer, Johan Kwisthout, Iris van Rooij
2015	J	`jnl`	Tree-Width and the Computational Complexity of MAP Approximations in Bayesian Networks. J. Artif. Intell. Res. Johan Kwisthout
2015	B	`conf`	What senses of agency can infants have? CogSci Lorijn Zaadnoordijk, Sabine Hunnius, Marlene Meyer, Johan Kwisthout, Iris van Rooij
2014	B	`conf`	Leaving Andy Clark's 'safe shores': Scaling predictive processing to higher cognition. CogSci Johan Kwisthout, Maria Otworowska, Harold Bekkering, Iris van Rooij
2014	—	`conf`	Minimizing Relative Entropy in Hierarchical Predictive Coding. Probabilistic Graphical Models Johan Kwisthout
2014	—	`conf`	Treewidth and the Computational Complexity of MAP Approximations. Probabilistic Graphical Models Johan Kwisthout
2013	J	`jnl`	Bridging the gap between theory and practice of approximate Bayesian inference. Cogn. Syst. Res. Johan Kwisthout, Iris van Rooij
2013	B	`conf`	Computational complexity analysis for cognitive scientists. CogSci Iris van Rooij, Johan Kwisthout, Mark Blokpoel, Todd Wareham
2013	B	`conf`	Constraints on Bayesian Explanation. CogSci Johan Kwisthout, Iris van Rooij, Matteo Colombo, Carlos Zednik, William A. Phillips
2013	C	`conf`	Most Inforbable Explanations: Finding Explanations in Bayesian Networks That Are Both Probable and Informative. ECSQARU Johan Kwisthout
2013	B	`conf`	Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome. CogSci Johan Kwisthout, Iris van Rooij
2013	C	`conf`	Structure Approximation of Most Probable Explanations in Bayesian Networks. ECSQARU Johan Kwisthout
2012	J	`jnl`	Relevancy in Problem Solving: A Computational Framework. J. Probl. Solving Johan Kwisthout
2012	J	`jnl`	The Computational Complexity of Sensitivity Analysis and Parameter Tuning CoRR Johan Kwisthout, Linda C. van der Gaag
2011	J	`jnl`	Bayesian Intractability Is Not an Ailment That Approximation Can Cure. Cogn. Sci. Johan Kwisthout, Todd Wareham, Iris van Rooij
2011	—	`conf`	Ignorance is bliss: A complexity perspective on adapting reactive architectures. ICDL-EPIROB Todd Wareham, Johan Kwisthout, Pim Haselager, Iris van Rooij
2011	J	`jnl`	Most probable explanations in Bayesian networks: Complexity and tractability. Int. J. Approx. Reason. Johan Kwisthout
2011	B	`conf`	The Complexity of Finding SOFSEM Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2011	B	`conf`	The computational costs of recipient design and intention recognition in communication. CogSci Mark Blokpoel, Johan Kwisthout, Todd Wareham, Pim Haselager, Ivan Toni, Iris van Rooij
2010	A	`conf`	The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag
2008	J	`jnl`	Complexity results for enhanced qualitative probabilistic networks. Int. J. Approx. Reason. Johan Kwisthout, Gerard Tel
2008	J	`jnl`	Joint attention and language evolution. Connect. Sci. Johan Kwisthout, Paul Vogt, Pim Haselager, Ton Dijkstra
2008	A	`conf`	The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI Johan Kwisthout, Linda C. van der Gaag
2007	C	`conf`	Local Monotonicity in Probabilistic Networks. ECSQARU Johan Kwisthout, Hans L. Bodlaender, Gerard Tel
2007	B	`conf`	The Computational Complexity of Monotonicity in Probabilistic Networks. FCT Johan Kwisthout
2006	—	`conf`	Complexity Results for Enhanced Qualitative Probabilistic Networks. Probabilistic Graphical Models Johan Kwisthout, Gerard Tel
2005	—	`conf`	Modelling Uncertainty in Agent Programming. BNAIC Johan Kwisthout, Mehdi Dastani
2005	—	`conf`	Modelling Uncertainty in Agent Programming. DALT Johan Kwisthout, Mehdi Dastani