Adam Zagorecki

Publication Activity (10 Years)

Years Active: 2004-2016
Publications (10 Years): 1

Top Topics

Multivariate Time Series

Bayesian Networks

Conditional Probability Tables

Top Venues

AAAI Fall Symposia

Int. J. Approx. Reason.

Publications

Adam Zagorecki, Anna Lupinska-Dubicka, Mark Voortman, Marek J. Druzdzel
Modeling women's menstrual cycles using PICI gates in Bayesian network. Int. J. Approx. Reason. 70 (2016)
Adam Zagorecki
Prediction of Methane Outbreaks in Coal Mines from Multivariate Time Series Using Random Forest. RSFDGrC (2015)
Adam Zagorecki
A versatile approach to classification of multivariate time series data. FedCSIS (2015)
Adam Zagorecki, Marcin Kozniewski, Marek J. Druzdzel
An Approximation of Surprise Index as a Measure of Confidence. AAAI Fall Symposia (2015)
Adam Zagorecki
Feature Selection for Naive Bayesian Network Ensemble using Evolutionary Algorithms. FedCSIS (2014)
Adam Zagorecki, Piotr Orzechowski, Katarzyna Holownia
A System for Automated General Medical Diagnosis using Bayesian Networks. MedInfo (2013)
Adam Zagorecki, Piotr Orzechowski, Katarzyna Holownia
Online Diagnostic System Based on Bayesian Networks. AIME (2013)
Adam Zagorecki, Marek J. Druzdzel
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? IEEE Trans. Syst. Man Cybern. Syst. 43 (1) (2013)
Adam Zagorecki, Kilkon Ko, Louise Comfort
Interorganizational Information Exchange and Efficiency: Organizational Performance in Emergency Environments. J. Artif. Soc. Soc. Simul. 13 (3) (2010)
Adam Zagorecki, Marek J. Druzdzel
Probabilistic Independence of Causal Influences. Probabilistic Graphical Models (2006)
Adam Zagorecki, Marek J. Druzdzel
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice? ECAI (2006)
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning. FLAIRS Conference (2006)
Adam Zagorecki, Marek J. Druzdzel
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. FLAIRS Conference (2004)