Condition Monitoring, Root Cause Analysis and Decision Support on Urgency of Actions. - Galia Weidl; Anders L. Madsen; Erik Dahlquist (HIS, 2002)

Applications of object-oriented Bayesian networks for condition monitoring, root cause analysis and decision support on operation of complex continuous processes. - Galia Weidl; Anders L. Madsen; Stefan Israelson (Comput. Chem. Eng., 2005)

Computer Assisted Classification of Brain Tumors. - Norbert Röhrl; José R. Iglesias-Rozas; Galia Weidl (GfKl, 2007)

Object-oriented Bayesian networks for detection of lane change maneuvers. - Dietmar Kasper; Galia Weidl; Thao Dang 002; Gabi Breuel; Andreas Tamke; Wolfgang Rosenstiel (Intelligent Vehicles Symposium, 2011)

Object-Oriented Bayesian Networks for Detection of Lane Change Maneuvers. - Dietmar Kasper; Galia Weidl; Thao Dang 002; Gabi Breuel; Andreas Tamke; Andreas Wedel; Wolfgang Rosenstiel (IEEE Intell. Transp. Syst. Mag., 2012)

Collision risk prediction and warning at road intersections using an object oriented Bayesian network. - Galia Weidl; Gabi Breuel; Virat Singhal (AutomotiveUI, 2013)

Optimizing Bayesian networks for recognition of driving maneuvers to meet the automotive requirements. - Galia Weidl; Anders L. Madsen; Dietmar Kasper; Gabi Breuel (ISIC, 2014)

Advisory warnings based on cooperative perception. - Florian Seeliger; Galia Weidl; Dominik Petrich; Frederik Naujoks; Gabi Breuel; Alexandra Neukum; Klaus Dietmayer (Intelligent Vehicles Symposium, 2014)

Early Recognition of Maneuvers in Highway Traffic. - Galia Weidl; Anders L. Madsen; Viacheslav Tereshchenko; Dietmar Kasper; Gabi Breuel (ECSQARU, 2015)

Early and Accurate Recognition of Highway Traffic Maneuvers Considering Real World Application: A Novel Framework Using Bayesian Networks. - Galia Weidl; Anders L. Madsen; Stevens Wang; Dietmar Kasper; Martin Karlsen (IEEE Intell. Transp. Syst. Mag., 2018)

Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style. - Yeimy Paola Valencia Usme; Marc Normann; Iryna Sapsai; Joerg Abke; Anders L. Madsen; Galia Weidl (ECSEE, 2023)

Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments. - Jamal Raiyn; Galia Weidl (ISC2, 2023)

Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network. - Jamal Raiyn; Galia Weidl (VEHITS, 2023)

Exploring Argument Mining and Bayesian Networks for Assessing Topics for City Project Proposals. - Galia Weidl; Stefan Berres; Anders L. Madsen; Johannes Daxenberger; Annegret Aulbach (PGM, 2024)

Improve Bounding Box in Carla Simulator. - Mohamad Mofeed Chaar; Jamal Raiyn; Galia Weidl (VEHITS, 2024)

Bayesian Network for Analysis and Prediction of Traffic Congestion Using the Accident Data. - Kranthi Kumar Talluri; Galia Weidl (VEHITS, 2024)

Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation. - Mohamad Mofeed Chaar; Jamal Raiyn; Galia Weidl (VEHITS, 2025)

Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks. - Kranthi Kumar Talluri; Anders L. Madsen; Galia Weidl (CoRR, 2025)

Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey. - Kranthi Kumar Talluri; Christopher Stang; Galia Weidl (CoRR, 2025)

Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks. - Kranthi Kumar Talluri; Galia Weidl; Vaishnavi Kasuluru (CoRR, 2025)