Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits. - Brian Ricks; Ole J. Mengshoel (Int. J. Approx. Reason., 2014)

Isolation of Multiple Anonymous Attackers in Mobile Networks. - Brian Ricks; Patrick Tague (NSS, 2015)

A Framework for Achieving Realism in Agent-Based Pedestrian Crowd Simulations. - Alexander Fuchsberger; Nargess Tahmasbi; Brian Ricks (AMCIS, 2017)

Large-Scale Realistic Network Data Generation on a Budget. - Brian Ricks; Patrick Tague; Bhavani Thuraisingham (IRI, 2018)

The Hidden Crisis : Developing Smart Big Data pipelines to address Grand Challenges of Bridge Infrastructure health in the United States. - Robin A. Gandhi; Deepak Khazanchi; Daniel G. Linzell; Brian Ricks; Chungwook Sim (ISCRAM, 2018)

Lifting the Smokescreen: Detecting Underlying Anomalies During a DDoS Attack. - Brian Ricks; Bhavani Thuraisingham; Patrick Tague (ISI, 2018)

Mimicking Human Behavior in Shared-Resource Computer Networks. - Brian Ricks; Bhavani Thuraisingham; Patrick Tague (IRI, 2019)

A Semi-Automated Technique for Transcribing Accurate Crowd Motions. - Alexander Fuchsberger; Brian Ricks; Zhicheng Chen (Int. J. Image Graph., 2020)

Generation of crowd arrival and destination locations/times in complex transit facilities. - Brian Ricks; Andrew Dobson; Athanasios Krontiris; Kostas E. Bekris; Mubbasir Kapadia; Fred S. Roberts (Vis. Comput., 2020)

DDoS-as-a-Smokescreen: Leveraging Netflow Concurrency and Segmentation for Faster Detection. - Brian Ricks; Patrick Tague; Bhavani Thuraisingham (TPS-ISA, 2021)

Improving virtual pipes model of hydraulic and thermal erosion with vegetation considerations. - Brian Hawkins; Brian Ricks (Vis. Comput., 2023)

Enhancing User Behavior Modeling via Machine Learning with Combined Text and Image Data. - Chad Crowe; Brian Ricks; Margeret Hall (HICSS, 2024)

Utilizing Threat Partitioning for More Practical Network Anomaly Detection. - Brian Ricks; Patrick Tague; Bhavani Thuraisingham; Sriraam Natarajan (SACMAT, 2024)