| 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 | 146 | 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 | 49 | 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 | 16 | 2020 |
| 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 | 14 | 2019 |
| Greedy equivalence search in the presence of latent confounders T Claassen, IG Bucur Uncertainty in Artificial Intelligence, 443-452, 2022 | 11 | 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 |
| 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 | 5 | 2022 |
| 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 |
| 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 |
| 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 |
| 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 | 1 | 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 | 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 |
| 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 | | 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 | | 2023 |
| A Tale of Snakes and Horses: Amplifying Correlation Power Analysis on Quadratic Maps A Guinet, G Land, IG Bucur, T Güneysu | | 2023 |
| Package ‘autoRasch’ F Wijayanto, IG Bucur, P Groot, T Heskes, K Mul, BGM van Engelen, ... | | 2022 |
| Can we detect radiological disease activity in multiple sclerosis using digital biomarkers? PCG Molenaar, P Oirschot, IG Bucur, K Lam, B Moraal, TM Heskes, ... | | 2022 |
| Smartphone monitoring of cognition and walking function in multiple sclerosis KH Lam, P Oirschot, IG Bucur, F Graaf, B Uitdehaag, T Heskes, ... | | 2021 |
Tom HeskesProfessor of Computer Science and Artificial Intelligence, Radboud University NijmegenGeverifieerd e-mailadres voor science.ru.nl
