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ORCIDDragos D. Margineantu
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2020 – today
- 2023
[j3]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): 2787-2789 (2023)- [c10]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: 757-762 - [i2]Denis Osipychev, Dragos D. Margineantu, Girish Chowdhary:
Reinforcement Learning-Based Air Traffic Deconfliction. CoRR abs/2301.01861 (2023) - 2021
- [c9]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: 730-740 - 2020
- [c8]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: 122-134 - [i1]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 abs/2005.07173 (2020)
2010 – 2019
- 2018
- [c7]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: 1-8 - 2015
- [e1]Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams:
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015. ACM 2015, ISBN 978-1-4503-3664-2 [contents] - 2012
- [c6]Tomás Singliar, Dragos D. Margineantu:
Scalable Inverse Reinforcement Learning via Instructed Feature Construction. NeSy@AAAI 2012 - 2010
- [j2]Dragos D. Margineantu, Weng-Keen Wong, Denver Dash:
Machine learning algorithms for event detection. Mach. Learn. 79(3): 257-259 (2010)
2000 – 2009
- 2005
- [j1]Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane:
Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explor. 7(2): 132-136 (2005) - [c5]Dragos D. Margineantu:
Active Cost-Sensitive Learning. IJCAI 2005: 1622-1613 - 2002
- [c4]Dragos D. Margineantu:
Class Probability Estimation and Cost-Sensitive Classification Decisions. ECML 2002: 270-281 - 2000
- [c3]Dragos D. Margineantu, Thomas G. Dietterich:
Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. ICML 2000: 583-590
1990 – 1999
- 1999
- [c2]Dragos D. Margineantu:
Applying Supervised Learning to Real-World Problems. AAAI/IAAI 1999: 951 - 1997
- [c1]Dragos D. Margineantu, Thomas G. Dietterich:
Pruning Adaptive Boosting. ICML 1997: 211-218
Coauthor Index
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