Ioan Gabriel Bucur
Ioan Gabriel Bucur
Assistant Professor, Radboud University Nijmegen
Verified email at - Homepage
Cited by
Cited by
Causal shapley values: Exploiting causal knowledge to explain individual predictions of complex models
T Heskes, E Sijben, IG Bucur, T Claassen
Advances in neural information processing systems 33, 4778-4789, 2020
Understanding the assumptions underlying Mendelian randomization
C de Leeuw, J Savage, IG Bucur, T Heskes, D Posthuma
European Journal of Human Genetics 30 (6), 653-660, 2022
Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach
IG Bucur, T Claassen, T Heskes
Statistical Methods in Medical Research 29 (4), 1081-1111, 2020
Greedy equivalence search in the presence of latent confounders
T Claassen, IG Bucur
Uncertainty in Artificial Intelligence, 443-452, 2022
A novel Bayesian approach for latent variable modeling from mixed data with missing values
R Cui, IG Bucur, P Groot, T Heskes
Statistics and Computing 29, 977-993, 2019
Towards individualized monitoring of cognition in multiple sclerosis in the digital era: A one-year cohort study
KH Lam, IG Bucur, P Van Oirschot, F De Graaf, H Weda, E Strijbis, ...
Multiple Sclerosis and Related Disorders 60, 103692, 2022
Large-scale local causal inference of gene regulatory relationships
IG Bucur, T Claassen, T Heskes
International Journal of Approximate Reasoning 115, 50-68, 2019
Segment Compression Steganographic Algorithm
D Stanescu, IG Bucur, M Stratulat
2010 International Joint Conference on Computational Cybernetics and†…, 2010
Semi-automated Rasch analysis with differential item functioning
F Wijayanto, IG Bucur, K Mul, P Groot, BGM van Engelen, T Heskes
Behavior Research Methods 55 (6), 3129-3148, 2023
autoRasch: An R package to do semi-automated Rasch analysis
F Wijayanto, IG Bucur, P Groot, T Heskes
Applied Psychological Measurement 47 (1), 83-85, 2023
Robust causal estimation in the large-sample limit without strict faithfulness
IG Bucur, T Claassen, T Heskes
Artificial Intelligence and Statistics, 1523-1531, 2017
Personalized monitoring of ambulatory function with a smartphone 2-minute walk test in multiple sclerosis
KH Lam, IG Bucur, P Van Oirschot, F De Graaf, E Strijbis, B Uitdehaag, ...
Multiple Sclerosis Journal 29 (4-5), 606-614, 2023
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
IG Bucur, T Claassen, T Heskes
Conference on Uncertainty in Artificial Intelligence, 1049-1058, 2020
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks
IG Bucur, T Bussel, T Claassen, T Heskes
International Conference on Probabilistic Graphical Models, 37-48, 2018
Enhanced Segment Compression Steganographic Algorithm
IG Bucur, D Stanescu, M Stratulat
Advances in Electrical and Computer Engineering 13 (3), 101-106, 2013
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
MM Van Diepen, IG Bucur, T Heskes, T Claassen
Conference on Causal Learning and Reasoning, 707-725, 2023
A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps
A Guinet, G Land, IG Bucur, T GŁneysu
Package ‘autoRasch’
F Wijayanto, IG Bucur, P Groot, T Heskes, K Mul, BGM van Engelen, ...
Can we detect radiological disease activity in multiple sclerosis using digital biomarkers?
PCG Molenaar, P Oirschot, IG Bucur, K Lam, B Moraal, TM Heskes, ...
Smartphone monitoring of cognition and walking function in multiple sclerosis
KH Lam, P Oirschot, IG Bucur, F Graaf, B Uitdehaag, T Heskes, ...
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