Bradley J. Rhodes

33 papers A 1B 1C 9Misc 2Journal 10Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids. FUSION Robert J. Ravier, Denis Garagic, Travis Galoppo, Rex Jameson, Bradley J. Rhodes, Peter Zulch
2023	C	`conf`	Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces. FUSION Robert J. Ravier, Denis Garagic, Travis Galoppo, Jacob Peskoe, Bradley J. Rhodes, Peter Zulch
2020	C	`conf`	Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set. FUSION Ronald D. Hagan, Stephen K. Grady, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
2019	—	`conf`	Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection. IPDPS Workshops Ronald D. Hagan, Brett D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
2018	—	`conf`	Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics. IPDPS Workshops Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes
2017	—	`conf`	Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning. IPDPS Workshops Ronald D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston
2017	—	`conf`	Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. IEEE BigData Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes
2014	J	`jnl`	Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance. Sensors Riad I. Hammoud, Cem S. Sahin, Erik Blasch, Bradley J. Rhodes, Tao Wang
2014	—	`conf`	Multi-source Multi-modal Activity Recognition in Aerial Video Surveillance. CVPR Workshops Riad I. Hammoud, Cem S. Sahin, Erik Philip Blasch, Bradley J. Rhodes
2011	—	`conf`	Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences. NaBIC Denis Garagic, Bradley J. Rhodes, Marc A. Abramiuk
2010	—	`conf`	Automatic Discovery and Execution of Personal Applications from Shared IO Devices. CCNC Bradley J. Rhodes, Sergey Chemishkian, Edward L. Schwartz, Stephen Savitzky, Haixia Yu
2009	—	`conf`	Adaptive Mixture-Based Neural Network Approach for Higher-Level Fusion and Automated Behavior Monitoring. ICC Denis Garagic, Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour
2009	J	`jnl`	Automated activity pattern learning and monitoring provide decision support to supervisors of busy environments. Intell. Decis. Technol. Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour, Denis Garagic, Lauren H. Stolzar, James R. Dankert, Allen M. Waxman, Michael Seibert
2009	C	`conf`	Hybrid neuro-bayesian spatial contextual reasoning for scene content understanding. FUSION Denis Garagic, Majid Zandipour, Frank Stolle, Matthew Antone, Bradley J. Rhodes
2008	C	`conf`	COALESCE: A probabilistic ontology-based scene understanding approach. FUSION Majid Zandipour, Bradley J. Rhodes, Neil A. Bomberger
2008	C	`conf`	Probabilistic prediction of vessel motion at multiple spatial scales for maritime situation awareness. FUSION Majid Zandipour, Bradley J. Rhodes, Neil A. Bomberger
2007	J	`jnl`	A new approach to higher-level information fusion using associative learning in semantic networks of spiking neurons. Inf. Fusion Neil A. Bomberger, Allen M. Waxman, Bradley J. Rhodes, Nathan A. Sheldon
2007	C	`conf`	Biologically-inspired approaches to higher-level information fusion. FUSION Bradley J. Rhodes
2007	C	`conf`	Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness. FUSION Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour
2007	J	`jnl`	Taxonomic knowledge structure discovery from imagery-based data using the neural associative incremental learning (NAIL) algorithm. Inf. Fusion Bradley J. Rhodes
2006	C	`conf`	Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness. FUSION Neil A. Bomberger, Bradley J. Rhodes, Michael Seibert, Allen M. Waxman
2003	B	`conf`	A model of cerebellar adaptation of grip forces during lifting. IJCNN Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes
2003	J	`jnl`	Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. Neural Networks Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes
2003	J	`jnl`	Using Physical Context for Just-in-Time Information Retrieval. IEEE Trans. Computers Bradley J. Rhodes
2002	J	`jnl`	A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model. Appl. Intell. Bradley J. Rhodes, Daniel Bullock
2000	J	`jnl`	Just-in-time information retrieval agents. IBM Syst. J. Bradley J. Rhodes, Pattie Maes
2000	A	`conf`	Margin notes: building a contextually aware associative memory. IUI Bradley J. Rhodes
1999	Misc	`conf`	Wearable Computing Meets Ubiquitous Computing: Reaping the Best of Both Worlds. ISWC Bradley J. Rhodes, Nelson Minar, Joshua Weaver
1997	J	`jnl`	Augmented Reality Through Wearable Computing. Presence Teleoperators Virtual Environ. Thad Starner, Steve Mann, Bradley J. Rhodes, Jeffrey Levine, Jennifer Healey, Dana Kirsch, Rosalind W. Picard, Alex Pentland
1997	—	`conf`	PHISH Nets: Planning Heuristically In Situated Hybrid Networks. Agents Bradley J. Rhodes
1997	Misc	`conf`	The Wearable Remembrance Agent: A System for Augmented Memory. ISWC Bradley J. Rhodes
1997	J	`jnl`	The Wearable Remembrance Agent: A System for Augmented Memory. Pers. Ubiquitous Comput. Bradley J. Rhodes
1996	—	`conf`	Remembrance Agent: A Continuously Running Automated Information Retrieval System. PAAM Bradley J. Rhodes, Thad Starner