No. 3: Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks
All Papers
Position Paper: Rational Behavior Model (RBM) and Human-Robot Ethical Constraints Using Mission Execution Ontology (MEO)
PDFPosition Paper: Towards a Repeated Bayesian Stackelberg Game Model for Robustness Against Adversarial Learning
PDFIntegration of Graphs and Representation Learning
PDFPhylogenetic-Inspired Probabilistic Model Abstraction in Detection of Malware Families
PDFUsing D3 to Visualize Lexical Link Analysis (LLA) and ADS-B Data
PDFAutonomous Outcomes: Shaping the Future Data Environment to Build Trust in Artificial Intelligence and Machine Learning Applications
PDFA Systems Approach to Battle Management Aids
PDFSimple Object Classification Using Binary Data
PDFAnalysis of Automatic Dependent Surveillance-Broadcast Data
PDFA Framework Using Machine Vision and Deep Reinforcement Learning for Self-Learning Moving Objects in a Virtual Environment
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