Brian Ricks - RankMe

13 papers B 1C 2Misc 2Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Enhancing User Behavior Modeling via Machine Learning with Combined Text and Image Data. HICSS Chad Crowe, Brian Ricks, Margeret Hall
2024	C	`conf`	Utilizing Threat Partitioning for More Practical Network Anomaly Detection. SACMAT Brian Ricks, Patrick Tague, Bhavani Thuraisingham, Sriraam Natarajan
2023	J	`jnl`	Improving virtual pipes model of hydraulic and thermal erosion with vegetation considerations. Vis. Comput. Brian Hawkins, Brian Ricks
2021	—	`conf`	DDoS-as-a-Smokescreen: Leveraging Netflow Concurrency and Segmentation for Faster Detection. TPS-ISA Brian Ricks, Patrick Tague, Bhavani Thuraisingham
2020	J	`jnl`	A Semi-Automated Technique for Transcribing Accurate Crowd Motions. Int. J. Image Graph. Alexander Fuchsberger, Brian Ricks, Zhicheng Chen
2020	J	`jnl`	Generation of crowd arrival and destination locations/times in complex transit facilities. Vis. Comput. Brian Ricks, Andrew Dobson, Athanasios Krontiris, Kostas E. Bekris, Mubbasir Kapadia, Fred S. Roberts
2019	Misc	`conf`	Mimicking Human Behavior in Shared-Resource Computer Networks. IRI Brian Ricks, Bhavani Thuraisingham, Patrick Tague
2018	Misc	`conf`	Large-Scale Realistic Network Data Generation on a Budget. IRI Brian Ricks, Patrick Tague, Bhavani Thuraisingham
2018	C	`conf`	Lifting the Smokescreen: Detecting Underlying Anomalies During a DDoS Attack. ISI Brian Ricks, Bhavani Thuraisingham, Patrick Tague
2018	—	`conf`	The Hidden Crisis : Developing Smart Big Data pipelines to address Grand Challenges of Bridge Infrastructure health in the United States. ISCRAM Robin A. Gandhi, Deepak Khazanchi, Daniel G. Linzell, Brian Ricks, Chungwook Sim
2017	—	`conf`	A Framework for Achieving Realism in Agent-Based Pedestrian Crowd Simulations. AMCIS Alexander Fuchsberger, Nargess Tahmasbi, Brian Ricks
2015	B	`conf`	Isolation of Multiple Anonymous Attackers in Mobile Networks. NSS Brian Ricks, Patrick Tague
2014	J	`jnl`	Diagnosis for uncertain, dynamic and hybrid domains using Bayesian networks and arithmetic circuits. Int. J. Approx. Reason. Brian Ricks, Ole J. Mengshoel