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 | 191 | 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 | 91 | 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 | 21 | 2020 |
Greedy equivalence search in the presence of latent confounders T Claassen, IG Bucur Uncertainty in Artificial Intelligence, 443-452, 2022 | 18 | 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 | 17 | 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 | 10 | 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 | 6 | 2019 |
Segment Compression Steganographic Algorithm D Stanescu, IG Bucur, M Stratulat 2010 International Joint Conference on Computational Cybernetics and …, 2010 | 5 | 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 | 3 | 2023 |
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 | 3 | 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 | 3 | 2023 |
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 | 2 | 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 | 2 | 2020 |
Robust causal estimation in the large-sample limit without strict faithfulness IG Bucur, T Claassen, T Heskes Artificial Intelligence and Statistics, 1523-1531, 2017 | 2 | 2017 |
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 | 1 | 2018 |
Enhanced Segment Compression Steganographic Algorithm IG Bucur, D Stanescu, M Stratulat Advances in Electrical and Computer Engineering 13 (3), 101-106, 2013 | 1 | 2013 |
Effect of Early Levodopa Treatment on Mortality in People with Parkinson's Disease AH Talebi, SKL Darweesh, BR Bloem, IG Bucur, T Heskes Movement Disorders Clinical Practice 11 (10), 1249-1256, 2024 | | 2024 |
Long-term sequelae of SARS-CoV-2 two years following infection: exploring the interplay of biological, psychological, and social factors A Verveen, FA Nugroho, IG Bucur, E Wynberg, HDG van Willigen, ... Psychological Medicine, 1-11, 2024 | | 2024 |
A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps A Guinet, G Land, IG Bucur, T Güneysu IACR Transactions on Cryptographic Hardware and Embedded Systems 2024 (1), 27-50, 2024 | | 2024 |
Package ‘autoRasch’ F Wijayanto, IG Bucur, P Groot, T Heskes, K Mul, BGM van Engelen, ... | | 2022 |