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ORCIDDavid Radke
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2020 – today
- 2025
[i6]David Radke, Kyle Tilbury:
Simulating Tracking Data to Advance Sports Analytics Research. CoRR abs/2503.19809 (2025)- 2023
- [c9]Alexi Orchard, David Radke:
An Analysis of Engineering Students' Responses to an AI Ethics Scenario. AAAI 2023: 15834-15842 - [c8]David Radke, Alexi Orchard:
Presenting Multiagent Challenges in Team Sports Analytics. AAMAS 2023: 1781-1785 - [c7]David Radke, Kate Larson, Tim Brecht:
The Importance of Credo in Multiagent Learning. AAMAS 2023: 2243-2252 - [c6]David Radke, Kate Larson, Tim Brecht, Kyle Tilbury:
Towards a Better Understanding of Learning with Multiagent Teams. IJCAI 2023: 271-279 - [c5]David Radke, Jaxin Lu, Jackson Woloschuk, Tin Le, Daniel Radke, Charlie Liu, Tim Brecht:
Analyzing Passing Metrics in Ice Hockey using Puck and Player Tracking Data. LINHAC 2023: 25-39 - [i5]David Radke, Alexi Orchard:
Presenting Multiagent Challenges in Team Sports Analytics. CoRR abs/2303.13660 (2023) - [i4]David Radke, Kyle Tilbury:
Learning to Learn Group Alignment: A Self-Tuning Credo Framework with Multiagent Teams. CoRR abs/2304.07337 (2023) - [i3]David Radke, Kate Larson, Tim Brecht, Kyle Tilbury:
Towards a Better Understanding of Learning with Multiagent Teams. CoRR abs/2306.16205 (2023) - 2022
- [c4]David Radke, Kate Larson, Tim Brecht:
Exploring the Benefits of Teams in Multiagent Learning. IJCAI 2022: 454-460 - [c3]David Radke, Tim Brecht, Daniel Radke:
Identifying Completed Pass Types and Improving Passing Lane Models. LINHAC 2022: 71-86 - [i2]David Radke, Kate Larson
, Tim Brecht:
The Importance of Credo in Multiagent Learning. CoRR abs/2204.07471 (2022) - [i1]David Radke, Kate Larson, Tim Brecht:
Exploring the Benefits of Teams in Multiagent Learning. CoRR abs/2205.02328 (2022) - 2020
- [j1]David Radke, Daniel Radke, John Radke:
Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning. Remote. Sens. 12(22): 3797 (2020) - [c2]David Radke, Omid Abari, Tim Brecht, Kate Larson:
Can Future Wireless Networks Detect Fires? BuildSys 2020: 286-289
2010 – 2019
- 2019
- [c1]David Radke, Anna Hessler, Dan Ellsworth:
FireCast: Leveraging Deep Learning to Predict Wildfire Spread. IJCAI 2019: 4575-4581
Coauthor Index
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