Pruning Adaptive Boosting. - Dragos D. Margineantu; Thomas G. Dietterich (ICML, 1997)

Applying Supervised Learning to Real-World Problems. - Dragos D. Margineantu (AAAI/IAAI, 1999)

Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. - Dragos D. Margineantu; Thomas G. Dietterich (ICML, 2000)

Class Probability Estimation and Cost-Sensitive Classification Decisions. - Dragos D. Margineantu (ECML, 2002)

Active Cost-Sensitive Learning. - Dragos D. Margineantu (IJCAI, 2005)

Testing decision systems with classification components. - Dragos D. Margineantu; Michael Drumheller; Roman D. Fresnedo (IJCNN, 2005)

Data mining methods for anomaly detection KDD-2005 workshop report. - Dragos D. Margineantu; Stephen Bay; Philip Chan 001; Terran Lane (SIGKDD Explor., 2005)

Machine learning algorithms for event detection. - Dragos D. Margineantu; Weng-Keen Wong; Denver Dash (Mach. Learn., 2010)

Scalable Inverse Reinforcement Learning via Instructed Feature Construction. - Tomás Singliar; Dragos D. Margineantu (NeSy@AAAI, 2012)

Embeddings for the Identification of Aircraft Faults (MERIT). - Mohamed Elshrif; Stefano Giovanni Rizzo; Franz D. Betz; Dragos D. Margineantu; Mohammed J. Zaki; Saniav Chawla (ICPHM, 2018)

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. - Daniel J. Fremont; Johnathan Chiu; Dragos D. Margineantu; Denis Osipychev; Sanjit A. Seshia (CAV (1), 2020)

Formal Analysis of Neural Network-Based Systems in the Aircraft Domain. - Panagiotis Kouvaros; Trent Kyono; Francesco Leofante; Alessio Lomuscio; Dragos D. Margineantu; Denis Osipychev; Yang Zheng 001 (FM, 2021)

Verification of Semantic Key Point Detection for Aircraft Pose Estimation. - Panagiotis Kouvaros; Francesco Leofante; Blake Edwards; Calvin Chung; Dragos D. Margineantu; Alessio Lomuscio (KR, 2023)

Reinforcement Learning-Based Air Traffic Deconfliction. - Denis Osipychev; Dragos D. Margineantu; Girish Chowdhary 001 (CoRR, 2023)

Guest Editorial: Special issue on robust machine learning. - Ransalu Senanayake; Daniel J. Fremont; Mykel J. Kochenderfer; Alessio R. Lomuscio; Dragos D. Margineantu; Cheng Soon Ong (Mach. Learn., 2023)

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. - Sampada Deglurkar; Haotian Shen; Anish Muthali; Marco Pavone 001; Dragos D. Margineantu; Péter Karkus; Boris Ivanovic; Claire J. Tomlin (CDC, 2024)

Runway Ground Movement Monitoring with Normalizing Flows. - Liam A. Kruse; Charles A. Erignac; Jose A. Medina; Dragos D. Margineantu; Chad A. McFarland (ITSC, 2024)

Linear combinations of latents in generative models: subspaces and beyond. - Erik Bodin; Alexandru I. Stere; Dragos D. Margineantu; Carl Henrik Ek; Henry Moss (ICLR, 2025)