Daniel Radke

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Spatial And Temporal Resolution

Top Venues

Publications

Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen
Discovering Command and Control Channels Using Reinforcement Learning. CoRR (2024)
Cheng Wang, Christopher Redino, Abdul Rahman, Ryan Clark, Daniel Radke, Tyler Cody, Dhruv Nandakumar, Edward Bowen
Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning. CoRR (2024)
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)
Riddam Rishu, Akshay Kakkar, Cheng Wang, Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody, Ryan Clark, Daniel Radke, Edward Bowen
Enhancing Exfiltration Path Analysis Using Reinforcement Learning. CoRR (2023)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR (2022)
David Radke, Tim Brecht, Daniel Radke
Identifying Completed Pass Types and Improving Passing Lane Models. LINHAC (2022)
Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA (2022)
David Radke, Daniel Radke, John Radke
Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning. Remote. Sens. 12 (22) (2020)