Dragos D. Margineantu

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Formal Analysis

Top Venues

Publications

Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong
Guest Editorial: Special issue on robust machine learning. Mach. Learn. 112 (8) (2023)
Denis Osipychev, Dragos D. Margineantu, Girish Chowdhary
Reinforcement Learning-Based Air Traffic Deconfliction. CoRR (2023)
Panagiotis Kouvaros, Francesco Leofante, Blake Edwards, Calvin Chung, Dragos D. Margineantu, Alessio Lomuscio
Verification of Semantic Key Point Detection for Aircraft Pose Estimation. KR (2023)
Panagiotis Kouvaros, Trent Kyono, Francesco Leofante, Alessio Lomuscio, Dragos D. Margineantu, Denis Osipychev, Yang Zheng
Formal Analysis of Neural Network-Based Systems in the Aircraft Domain. FM (2021)
Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. CoRR (2020)
Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. CAV (1) (2020)
Mohamed Elshrif, Stefano Giovanni Rizzo, Franz D. Betz, Dragos D. Margineantu, Mohammed J. Zaki, Saniav Chawla
Embeddings for the Identification of Aircraft Faults (MERIT). ICPHM (2018)
Tomás Singliar, Dragos D. Margineantu
Scalable Inverse Reinforcement Learning via Instructed Feature Construction. NeSy@AAAI (2012)
Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
Machine learning algorithms for event detection. Mach. Learn. 79 (3) (2010)
Dragos D. Margineantu
Active Cost-Sensitive Learning. IJCAI (2005)
Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane
Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explor. 7 (2) (2005)
Dragos D. Margineantu
Class Probability Estimation and Cost-Sensitive Classification Decisions. ECML (2002)
Dragos D. Margineantu, Thomas G. Dietterich
Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. ICML (2000)
Dragos D. Margineantu
Applying Supervised Learning to Real-World Problems. AAAI/IAAI (1999)
Dragos D. Margineantu, Thomas G. Dietterich
Pruning Adaptive Boosting. ICML (1997)