2022 BayesiaLab Conference — 10th Anniversary

Innovations in Knowledge Elicitation

Using Bayesian Networks for Climate Change Risk Assessment Against Scenario Analysis

Bayesian Networks and Network Science Applied to Water Resources: Streamflow Analysis and Forecast I

Bayesian Networks and Their Applications in Modelling Resilience and Regime Shifts

A Causal Framework for Analyzing Cumulative Environmental Impacts

A Probabilistic Community Analysis for Coral Reef Ecosystems in Puerto Rico

Decision-Support for Rheumatoid Arthritis Using Bayesian Networks: Diagnosis, Management, and Person

A Meta-Model for Predicting the Quality of Knowledge Elicitation Sessions

Optimizing Maintenance and Avoiding Major Breakdowns of Construction Machines

Enhancing Systems Health Monitoring by Embedding Failure Mode and Effect Analysis

Bayesian Networks and Precision Oncology: Application to Prostate Cancer

Exploratory and Confirmatory Bayesian Networks

Establishing Causality Using Bayesian Networks

Integrating Market Research with Applied Analytics to Boost Technology Service Trust

Improving the Customer Experience with Predictive Analytics

Comparison of the Different Methods Used to Calculate Feature Importance

Driver Analysis in Brand Trackers — Bayesian Network vs Shapley Value Regression

Driver Analysis Using Topics Derived From Unstructured Textual Data

From Explanation to Interpretations

Cybersecurity Risk Assessment with Bayesian Networks

Nuclear Data Evaluation with Bayesian Networks

Persuasive Contrastive Explanations for Bayesian Networks

Mapping Changes in Science Fiction Worldbuilding in Response to Scientific Discovery

Dynamic Bayesian Networks for Prediction of Chemical Radioisotope Levels in Nuclear Reactors

Modeling the Risk of Material Misstatement of Current Expected Credit Losses

Cross-Examination with Bayesian Networks

Monotonicity in Bayesian Networks for Computerized Adaptive Testing

Applying Bayesian Networks to Help Physicians Diagnose Respiratory Diseases

Potential Emerging Hazards in Vehicle Safety

Manifold Learning Analysis and Bayesian Latent-Observational Feature Prediction

Exploratory and Confirmatory Bayesian Networks