Countries citing papers authored by Marek J. Drużdżel
Since
Specialization
Citations
This map shows the geographic impact of Marek J. Drużdżel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marek J. Drużdżel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek J. Drużdżel more than expected).
Fields of papers citing papers by Marek J. Drużdżel
This network shows the impact of papers produced by Marek J. Drużdżel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marek J. Drużdżel. The network helps show where Marek J. Drużdżel may publish in the future.
Co-authorship network of co-authors of Marek J. Drużdżel
This figure shows the co-authorship network connecting the top 25 collaborators of Marek J. Drużdżel.
A scholar is included among the top collaborators of Marek J. Drużdżel based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Marek J. Drużdżel. Marek J. Drużdżel is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Drużdżel, Marek J., et al.. (2016). Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks. 252–263.5 indexed citations
3.
Zagorecki, Adam, et al.. (2015). An approximation of surprise index as a measure of confidence. D-Scholarship@Pitt (University of Pittsburgh). 39.3 indexed citations
4.
Dash, Denver, et al.. (2010). Learning Causal Models That Make Correct Manipulation Predictions.. neural information processing systems. 257–266.
5.
Drużdżel, Marek J., et al.. (2008). Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality.. The Florida AI Research Society. 690–695.4 indexed citations
6.
Yuan, Changhe & Marek J. Drużdżel. (2007). Importance Sampling for General Hybrid Bayesian Networks. International Conference on Artificial Intelligence and Statistics. 652–659.7 indexed citations
7.
Zagorecki, Adam, et al.. (2006). Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. The Florida AI Research Society. 860–865.9 indexed citations
8.
Sun, Xiaoxun, Marek J. Drużdżel, & Changhe Yuan. (2006). Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks.. International Joint Conference on Artificial Intelligence. 2385–2390.11 indexed citations
9.
Zagorecki, Adam & Marek J. Drużdżel. (2006). Probabilistic Independence of Causal Influences.. 325–332.1 indexed citations
10.
Yuan, Changhe & Marek J. Drużdżel. (2006). Hybrid Loopy Belief Propagation.. 317–324.8 indexed citations
11.
Yuan, Changhe & Marek J. Drużdżel. (2005). How Heavy Should the Tails Be. The Florida AI Research Society. 799–805.5 indexed citations
12.
Yuan, Changhe, Tsai-Ching Lu, & Marek J. Drużdżel. (2004). Annealed MAP. Uncertainty in Artificial Intelligence. 628–635.26 indexed citations
13.
Zagorecki, Adam & Marek J. Drużdżel. (2004). An Empirical Study of Probability Elicitation Under Noisy-OR Assumption.. The Florida AI Research Society. 880–886.37 indexed citations
14.
Wang, Haiqin, Denver Dash, & Marek J. Drużdżel. (2001). A Method for Evaluating Elicitation Schemes for Probabilities. The Florida AI Research Society. 607–612.1 indexed citations
15.
Drużdżel, Marek J.. (1999). GeNIe: A Development Environment for Graphical Decision-Analytic Models.. PubMed Central. 1206–1206.35 indexed citations
16.
Dash, Denver & Marek J. Drużdżel. (1999). A hybrid anytime algorithm for the construction of causal models from sparse data. Uncertainty in Artificial Intelligence. 142–149.60 indexed citations
17.
Drużdżel, Marek J.. (1999). ESP: A Mixed-Initiative Decision-Theoretic Decision Modeling System.2 indexed citations
18.
Drużdżel, Marek J., Agnieszka Oniśko, Daniel G. Schwartz, John Dowling, & Hanna Wasyluk. (1999). Knowledge Engineering for Very Large Decision-analytic Medical Models. PubMed Central. 1049–1049.10 indexed citations
19.
Lin, Yan & Marek J. Drużdżel. (1998). Relevance-Based Sequential Evidence Processing in Bayesian Networks. The Florida AI Research Society. 446–450.4 indexed citations
20.
Drużdżel, Marek J. & Clark Glymour. (1994). Application of the TETRAD II program to the study of student retention in U.S. colleges. Knowledge Discovery and Data Mining. 419–430.17 indexed citations
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