Remembrance Agent: A Continuously Running Automated Information Retrieval System. - Bradley J. Rhodes; Thad Starner (PAAM, 1996)

PHISH Nets: Planning Heuristically In Situated Hybrid Networks. - Bradley J. Rhodes (Agents, 1997)

Augmented Reality Through Wearable Computing. - Thad Starner; Steve Mann 001; Bradley J. Rhodes; Jeffrey Levine; Jennifer Healey; Dana Kirsch; Rosalind W. Picard; Alex Pentland (Presence Teleoperators Virtual Environ., 1997)

The Wearable Remembrance Agent: A System for Augmented Memory. - Bradley J. Rhodes (Pers. Ubiquitous Comput., 1997)

Wearable Computing Meets Ubiquitous Computing: Reaping the Best of Both Worlds. - Bradley J. Rhodes; Nelson Minar; Joshua Weaver (ISWC, 1999)

Margin notes: building a contextually aware associative memory. - Bradley J. Rhodes (IUI, 2000)

Just-in-time information retrieval agents. - Bradley J. Rhodes; Pattie Maes (IBM Syst. J., 2000)

A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model. - Bradley J. Rhodes; Daniel Bullock (Appl. Intell., 2002)

A model of cerebellar adaptation of grip forces during lifting. - Antonio Ulloa; Daniel Bullock; Bradley J. Rhodes (IJCNN, 2003)

Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. - Antonio Ulloa; Daniel Bullock; Bradley J. Rhodes (Neural Networks, 2003)

Using Physical Context for Just-in-Time Information Retrieval. - Bradley J. Rhodes (IEEE Trans. Computers, 2003)

Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness. - Neil A. Bomberger; Bradley J. Rhodes; Michael Seibert; Allen M. Waxman (FUSION, 2006)

Biologically-inspired approaches to higher-level information fusion. - Bradley J. Rhodes (FUSION, 2007)

Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness. - Bradley J. Rhodes; Neil A. Bomberger; Majid Zandipour (FUSION, 2007)

A new approach to higher-level information fusion using associative learning in semantic networks of spiking neurons. - Neil A. Bomberger; Allen M. Waxman; Bradley J. Rhodes; Nathan A. Sheldon (Inf. Fusion, 2007)

Taxonomic knowledge structure discovery from imagery-based data using the neural associative incremental learning (NAIL) algorithm. - Bradley J. Rhodes (Inf. Fusion, 2007)

Probabilistic prediction of vessel motion at multiple spatial scales for maritime situation awareness. - Majid Zandipour; Bradley J. Rhodes; Neil A. Bomberger (FUSION, 2008)

COALESCE: A probabilistic ontology-based scene understanding approach. - Majid Zandipour; Bradley J. Rhodes; Neil A. Bomberger (FUSION, 2008)

Hybrid neuro-bayesian spatial contextual reasoning for scene content understanding. - Denis Garagic; Majid Zandipour; Frank Stolle; Matthew Antone; Bradley J. Rhodes (FUSION, 2009)

Adaptive Mixture-Based Neural Network Approach for Higher-Level Fusion and Automated Behavior Monitoring. - Denis Garagic; Bradley J. Rhodes; Neil A. Bomberger; Majid Zandipour (ICC, 2009)

Automated activity pattern learning and monitoring provide decision support to supervisors of busy environments. - Bradley J. Rhodes; Neil A. Bomberger; Majid Zandipour; Denis Garagic; Lauren H. Stolzar; James R. Dankert; Allen M. Waxman; Michael Seibert (Intell. Decis. Technol., 2009)

Automatic Discovery and Execution of Personal Applications from Shared IO Devices. - Bradley J. Rhodes; Sergey Chemishkian; Edward L. Schwartz; Stephen Savitzky; Haixia Yu (CCNC, 2010)

Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences. - Denis Garagic; Bradley J. Rhodes; Marc A. Abramiuk (NaBIC, 2011)

Multi-source Multi-modal Activity Recognition in Aerial Video Surveillance. - Riad I. Hammoud; Cem S. Sahin; Erik Philip Blasch; Bradley J. Rhodes (CVPR Workshops, 2014)

Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance. - Riad I. Hammoud; Cem S. Sahin; Erik Blasch; Bradley J. Rhodes; Tao Wang 076 (Sensors, 2014)

Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. - Ronald D. Hagan; Charles A. Phillips; Michael A. Langston; Bradley J. Rhodes (IEEE BigData, 2017)

Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning. - Ronald D. Hagan; Charles A. Phillips; Bradley J. Rhodes; Michael A. Langston (IPDPS Workshops, 2017)

Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics. - Ronald D. Hagan; Charles A. Phillips; Michael A. Langston; Bradley J. Rhodes (IPDPS Workshops, 2018)

Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection. - Ronald D. Hagan; Brett D. Hagan; Charles A. Phillips; Bradley J. Rhodes; Michael A. Langston (IPDPS Workshops, 2019)

Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set. - Ronald D. Hagan; Stephen K. Grady; Charles A. Phillips; Bradley J. Rhodes; Michael A. Langston (FUSION, 2020)

Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces. - Robert J. Ravier; Denis Garagic; Travis Galoppo; Jacob Peskoe; Bradley J. Rhodes; Peter Zulch (FUSION, 2023)

Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids. - Robert J. Ravier; Denis Garagic; Travis Galoppo; Rex Jameson; Bradley J. Rhodes; Peter Zulch (FUSION, 2024)