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2020 – today
- 2024
[j4]Alexander Strang
, David Sewell, Alexander Kim, Kevin Alcedo, David Rosenbluth:
Principal trade-off analysis. Inf. Vis. 23(3): 258-271 (2024)- 2023
- [j3]Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Díaz, Jason C. Twedt, Kevin Alcedo, Thayne T. Walker, David Rosenbluth, Lee Ritholtz, Daniel Javorsek:
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. IEEE Trans. Artif. Intell. 4(6): 1371-1385 (2023) - [c7]Alberto Speranzon, Christian H. Debrunner, David Rosenbluth, Mauricio Castillo-Effen, Anthony R. Nowicki, Kevin Alcedo, Andrzej Banaszuk:
Challenge Problems in Developing a Neuro-Symbolic OODA Loop. NeSy 2023: 241-247 - 2022
- [i5]Philip Feldman, Aaron Dant, David Rosenbluth:
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models. CoRR abs/2202.02647 (2022) - [i4]Jaime S. Ide, Daria Micovic, Michael J. Guarino, Kevin Alcedo, David Rosenbluth, Adrian P. Pope:
Soft Actor-Critic with Inhibitory Networks for Faster Retraining. CoRR abs/2202.02918 (2022) - [i3]Alexander Strang, David Sewell, Alexander Kim, Kevin Alcedo, David Rosenbluth:
Principal Trade-off Analysis. CoRR abs/2206.07520 (2022) - 2021
- [j2]Philip Feldman, Aaron Dant, David Rosenbluth:
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models. IEEE Data Eng. Bull. 44(4): 59-75 (2021) - [i2]Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Díaz, David Rosenbluth, Lee Ritholtz, Jason C. Twedt, Thayne T. Walker, Kevin Alcedo, Daniel Javorsek:
Hierarchical Reinforcement Learning for Air-to-Air Combat. CoRR abs/2105.00990 (2021) - [i1]Hsuan-Tung Peng, Joshua Lederman, Lei Xu, Thomas Ferreira de Lima, Chaoran Huang, Bhavin J. Shastri, David Rosenbluth, Paul R. Prucnal:
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge. CoRR abs/2106.13865 (2021)
2010 – 2019
- 2017
- [c6]Elizabeth Taylor Whitaker, Ethan Brantley Trewhitt, David Rosenbluth:
Cognitive Adaptive Learning, Classification, and Response for Communications Threats (CALCR): A Case-Based Reasoning Approach. FLAIRS 2017: 503-507 - 2014
- [c5]Paul Kogut, Jonathan Darvill, David Rosenbluth, David Morgenthaler:
Top Down Bottom up Brain Models. BICA 2014: 69-74 - 2013
- [c4]Paul Tilghman, David Rosenbluth:
Inferring Wireless Communications Links and Network Topology from Externals Using Granger Causality. MILCOM 2013: 1284-1289 - 2011
- [c3]Paul Biancaniello, David Rosenbluth, Tom Szumowski, John Darvill, Nick Hinnerschitz, John Hummel, Stefan Mihalas:
Towards a Biologically-Inspired Model for Relational Mapping Using Spiking Neurons. BICA 2011: 38-43 - [c2]Sergey Malinchik, David Rosenbluth:
Paradoxical dynamics of population Opinion in response to influence of moderate leader. ALIFE 2011: 148-153 - 2010
- [j1]Mable P. Fok, David Rosenbluth, Konstantin Kravtsov, Paul R. Prucnal:
Lightwave Neuromorphic Signal Processing [In The Spotlight]. IEEE Signal Process. Mag. 27(6): 160-158 (2010)
2000 – 2009
- 2004
- [c1]Chung-Min Chen, Hira Agrawal, Munir Cochinwala, David Rosenbluth:
Stream Query Processing for Healthcare Bio-sensor Applications. ICDE 2004: 791-794
Coauthor Index
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