Improving Prediction Confidence in Learning-Enabled Autonomous Systems. - Dimitrios Boursinos; Xenofon D. Koutsoukos (DDDAS, 2020)

Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems. - Dimitrios Boursinos; Xenofon D. Koutsoukos (SP (Workshops), 2020)

Assurance Monitoring of Cyber-Physical Systems with Machine Learning Components. - Dimitrios Boursinos; Xenofon D. Koutsoukos (CoRR, 2020)

Reliable Probability Intervals For Classification Using Inductive Venn Predictors Based on Distance Learning. - Dimitrios Boursinos; Xenofon D. Koutsoukos (COINS, 2021)

Assurance monitoring of learning-enabled cyber-physical systems using inductive conformal prediction based on distance learning. - Dimitrios Boursinos; Xenofon D. Koutsoukos (Artif. Intell. Eng. Des. Anal. Manuf., 2021)

Fault-Adaptive Autonomy in Systems with Learning-Enabled Components. - Dániel Stojcsics; Dimitrios Boursinos; Nagabhushan Mahadevan; Xenofon D. Koutsoukos; Gabor Karsai (Sensors, 2021)

Selective Classification of Sequential Data Using Inductive Conformal Prediction. - Dimitrios Boursinos; Xenofon D. Koutsoukos (ICAA, 2022)

Efficient probability intervals for classification using inductive venn predictors. - Dimitrios Boursinos; Xenofon D. Koutsoukos (Pattern Recognit., 2023)