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2020 – today
- 2024
[c22]Robert J. Ravier, Denis Garagic, Travis Galoppo, Rex Jameson, Bradley J. Rhodes, Peter Zulch:
Constrain, Correspond, Correct: Distributed Game-Theoretic Data Association for Assignment Games on Multimodal Sensing Grids. FUSION 2024: 1-8- 2023
- [c21]Robert J. Ravier, Denis Garagic, Travis Galoppo, Jacob Peskoe, Bradley J. Rhodes, Peter Zulch:
Reinforcement Learning-based Autonomous Sensor Control via Simultaneous Learning of Policies and State-Action Spaces. FUSION 2023: 1-8 - 2020
- [c20]Ronald D. Hagan, Stephen K. Grady, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston:
Towards Controllability Analysis of Dynamic Networks Using Minimum Dominating Set. FUSION 2020: 1-5
2010 – 2019
- 2019
- [c19]Ronald D. Hagan, Brett D. Hagan
, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston:
Compound Analytics using Combinatorics for Feature Selection: A Case Study in Biomarker Detection. IPDPS Workshops 2019: 262-267 - 2018
- [c18]Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes:
Classification and Anomaly Detection in Traffic Patterns of New York City Taxis: A Case Study in Compound Analytics. IPDPS Workshops 2018: 1169-1174 - 2017
- [c17]Ronald D. Hagan, Charles A. Phillips, Michael A. Langston, Bradley J. Rhodes:
Multiscale graph theoretical tools reveal subtle patterns in big geospatial data. IEEE BigData 2017: 3422-3425 - [c16]Ronald D. Hagan, Charles A. Phillips, Bradley J. Rhodes, Michael A. Langston:
Compound Analytics: Templates for Integrating Graph Algorithms and Machine Learning. IPDPS Workshops 2017: 1550-1556 - 2014
- [j10]Riad I. Hammoud, Cem S. Sahin, Erik Blasch, Bradley J. Rhodes, Tao Wang:
Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance. Sensors 14(10): 19843-19860 (2014) - [c15]Riad I. Hammoud, Cem S. Sahin, Erik Philip Blasch, Bradley J. Rhodes:
Multi-source Multi-modal Activity Recognition in Aerial Video Surveillance. CVPR Workshops 2014: 237-244 - 2011
- [c14]Denis Garagic, Bradley J. Rhodes, Marc A. Abramiuk:
Interactive spatial evolutionary computation based predictive modeling of rare plant species occurrences. NaBIC 2011: 472-475 - 2010
- [c13]Bradley J. Rhodes, Sergey Chemishkian, Edward L. Schwartz, Stephen Savitzky, Haixia Yu:
Automatic Discovery and Execution of Personal Applications from Shared IO Devices. CCNC 2010: 1-2
2000 – 2009
- 2009
- [j9]Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour, Denis Garagic, Lauren H. Stolzar, James R. Dankert, Allen M. Waxman, Michael Seibert:
Automated activity pattern learning and monitoring provide decision support to supervisors of busy environments. Intell. Decis. Technol. 3(1): 59-74 (2009) - [c12]Denis Garagic, Majid Zandipour, Frank Stolle, Matthew Antone, Bradley J. Rhodes:
Hybrid neuro-bayesian spatial contextual reasoning for scene content understanding. FUSION 2009: 984-989 - [c11]Denis Garagic, Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour:
Adaptive Mixture-Based Neural Network Approach for Higher-Level Fusion and Automated Behavior Monitoring. ICC 2009: 1-6 - 2008
- [c10]Majid Zandipour, Bradley J. Rhodes, Neil A. Bomberger:
Probabilistic prediction of vessel motion at multiple spatial scales for maritime situation awareness. FUSION 2008: 1-6 - [c9]Majid Zandipour, Bradley J. Rhodes, Neil A. Bomberger:
COALESCE: A probabilistic ontology-based scene understanding approach. FUSION 2008: 1-6 - 2007
- [j8]Neil A. Bomberger, Allen M. Waxman, Bradley J. Rhodes, Nathan A. Sheldon:
A new approach to higher-level information fusion using associative learning in semantic networks of spiking neurons. Inf. Fusion 8(3): 227-251 (2007) - [j7]Bradley J. Rhodes:
Taxonomic knowledge structure discovery from imagery-based data using the neural associative incremental learning (NAIL) algorithm. Inf. Fusion 8(3): 295-315 (2007) - [c8]Bradley J. Rhodes:
Biologically-inspired approaches to higher-level information fusion. FUSION 2007: 1-3 - [c7]Bradley J. Rhodes, Neil A. Bomberger, Majid Zandipour:
Probabilistic associative learning of vessel motion patterns at multiple spatial scales for maritime situation awareness. FUSION 2007: 1-8 - 2006
- [c6]Neil A. Bomberger, Bradley J. Rhodes, Michael Seibert, Allen M. Waxman:
Associative Learning of Vessel Motion Patterns for Maritime Situation Awareness. FUSION 2006: 1-8 - 2003
- [j6]Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes:
Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. Neural Networks 16(5-6): 521-528 (2003) - [j5]Bradley J. Rhodes:
Using Physical Context for Just-in-Time Information Retrieval. IEEE Trans. Computers 52(8): 1011-1014 (2003) - 2002
- [j4]Bradley J. Rhodes, Daniel Bullock:
A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model. Appl. Intell. 17(1): 35-48 (2002) - 2000
- [j3]Bradley J. Rhodes, Pattie Maes:
Just-in-time information retrieval agents. IBM Syst. J. 39(3&4): 685-704 (2000) - [c5]Bradley J. Rhodes:
Margin notes: building a contextually aware associative memory. IUI 2000: 219-224
1990 – 1999
- 1999
- [c4]Bradley J. Rhodes, Nelson Minar, Joshua Weaver:
Wearable Computing Meets Ubiquitous Computing: Reaping the Best of Both Worlds. ISWC 1999: 141-149 - 1997
- [j2]Thad Starner, Steve Mann, Bradley J. Rhodes, Jeffrey Levine, Jennifer Healey, Dana Kirsch, Rosalind W. Picard, Alex Pentland:
Augmented Reality Through Wearable Computing. Presence Teleoperators Virtual Environ. 6(4): 386-398 (1997) - [j1]Bradley J. Rhodes:
The Wearable Remembrance Agent: A System for Augmented Memory. Pers. Ubiquitous Comput. 1(3): 218-224 (1997) - [c3]Bradley J. Rhodes:
PHISH Nets: Planning Heuristically In Situated Hybrid Networks. Agents 1997: 480-481 - [c2]Bradley J. Rhodes:
The Wearable Remembrance Agent: A System for Augmented Memory. ISWC 1997: 123-128 - 1996
- [c1]Bradley J. Rhodes, Thad Starner:
Remembrance Agent: A Continuously Running Automated Information Retrieval System. PAAM 1996: 487-496
Coauthor Index
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last updated on 2024-10-25 21:12 CEST by the dblp team
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