An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. - Adam Zagorecki; Marek J. Druzdzel (FLAIRS, 2004)

Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. - Adam Zagorecki; Mark Voortman; Marek J. Druzdzel (FLAIRS, 2006)

Probabilistic Independence of Causal Influences. - Adam Zagorecki; Marek J. Druzdzel (Probabilistic Graphical Models, 2006)

Interorganizational Information Exchange and Efficiency: Organizational Performance in Emergency Environments. - Adam Zagorecki; Kilkon Ko; Louise K. Comfort (J. Artif. Soc. Soc. Simul., 2010)

Online Diagnostic System Based on Bayesian Networks. - Adam Zagorecki; Piotr Orzechowski; Katarzyna Holownia (AIME, 2013)

A System for Automated General Medical Diagnosis using Bayesian Networks. - Adam Zagorecki; Piotr Orzechowski; Katarzyna Holownia (MedInfo, 2013)

Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? - Adam Zagorecki; Marek J. Druzdzel (IEEE Trans. Syst. Man Cybern. Syst., 2013)

Feature Selection for Naive Bayesian Network Ensemble using Evolutionary Algorithms. - Adam Zagorecki (FedCSIS, 2014)

An Approximation of Surprise Index as a Measure of Confidence. - Adam Zagorecki; Marcin Kozniewski; Marek J. Druzdzel (AAAI Fall Symposia, 2015)

A versatile approach to classification of multivariate time series data. - Adam Zagorecki (FedCSIS, 2015)

Prediction of Methane Outbreaks in Coal Mines from Multivariate Time Series Using Random Forest. - Adam Zagorecki (RSFDGrC, 2015)

Modeling women's menstrual cycles using PICI gates in Bayesian network. - Adam Zagorecki; Anna Lupinska-Dubicka; Mark Voortman; Marek J. Druzdzel (Int. J. Approx. Reason., 2016)