| On-line student modeling for coached problem solving using Bayesian networks C Conati, AS Gertner, K VanLehn, MJ Druzdzel User Modeling: Proceedings of the Sixth International Conference UM97 Chia …, 1997 | 438 | 1997 |
| Building probabilistic networks:" Where do the numbers come from?" MJ Druzdzel, LC Van Der Gaag IEEE Transactions on knowledge and data engineering 12 (4), 481-486, 2000 | 411 | 2000 |
| The emerging science of very early detection of disease outbreaks MM Wagner, FC Tsui, JU Espino, VM Dato, DF Sitting, RA Caruana, ... Journal of public health management and practice 7 (6), 51-59, 2001 | 374 | 2001 |
| Learning Bayesian network parameters from small data sets: Application of Noisy-OR gates A Oniśko, MJ Druzdzel, H Wasyluk International Journal of Approximate Reasoning 27 (2), 165-182, 2001 | 371 | 2001 |
| SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision-theoretic models MJ Druzdzel Aaai/Iaai, 902-903, 1999 | 339 | 1999 |
| AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks J Cheng, MJ Druzdzel Journal of Artificial Intelligence Research 13, 155-188, 2000 | 328 | 2000 |
| Elicitation of probabilities for belief networks: Combining qualitative and quantitative information MJ Druzdzel, LC Van Der Gaag arXiv preprint arXiv:1302.4943, 2013 | 286 | 2013 |
| Efficient reasoning in qualitative probabilistic networks MJ Druzdzel, M Henrion Proceedings of the 11th National Conference on Artificial Intelligence …, 1993 | 205 | 1993 |
| Canonical probabilistic models for knowledge engineering FJ Dıez, MJ Druzdzel UNED, Madrid, Spain, Technical Report CISIAD-06-01, 2006 | 197 | 2006 |
| Qualitative propagation and scenario-based approaches to explanation of probabilistic reasoning M Henrion, MJ Druzdzel Uncertainty in Artificial Intelligence 6, 17-32, 1990 | 169 | 1990 |
| Causality in Bayesian belief networks MJ Druzdzel, HA Simon Uncertainty in Artificial Intelligence, 3-11, 1993 | 167 | 1993 |
| A hybrid anytime algorithm for the constructiion of causal models from sparse data D Dash, MJ Druzdzel arXiv preprint arXiv:1301.6689, 2013 | 151 | 2013 |
| Decision support systems. Encyclopedia of library and information science. A. Kent MJ Druzdzel, RR Flynn Marcel Dekker, Inc. Last Login 10 (03), 2010, 1999 | 131 | 1999 |
| An importance sampling algorithm based on evidence pre-propagation C Yuan, MJ Druzdzel arXiv preprint arXiv:1212.2507, 2012 | 130 | 2012 |
| Qualitiative verbal explanations in bayesian belief networks MJ Druzdzel AISB QUARTERLY, 43-54, 1996 | 120 | 1996 |
| Knowledge engineering for Bayesian networks: How common are noisy-MAX distributions in practice? A Zagorecki, MJ Druzdzel IEEE Transactions on Systems, Man, and Cybernetics: Systems 43 (1), 186-195, 2012 | 110* | 2012 |
| Verbal expressions of probability in informed consent litigation JF Merz, MJ Druzdzel, DJ Mazur Medical Decision Making 11 (4), 273-281, 1991 | 103 | 1991 |
| Bayesian networks for risk prediction using real-world data: a tool for precision medicine P Arora, D Boyne, JJ Slater, A Gupta, DR Brenner, MJ Druzdzel Value in Health 22 (4), 439-445, 2019 | 97 | 2019 |
| Importance sampling algorithms for Bayesian networks: Principles and performance C Yuan, MJ Druzdzel Mathematical and Computer Modelling 43 (9-10), 1189-1207, 2006 | 96 | 2006 |
| Probabilistic reasoning in decision support systems: from computation to common sense MJ Druzdzel Carnegie Mellon University, 1993 | 95 | 1993 |
Agnieszka OniskoAssociate Professor at Faculty of Computer Science, Bialystok University of Technology, Poland andVerified email at pb.edu.pl
