Dragos D. Margineantu

According to our database, Dragos D. Margineantu authored at least 14 papers between 1997 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Reinforcement Learning-Based Air Traffic Deconfliction.

Denis Osipychev, Dragos D. Margineantu, Girish Chowdhary

CoRR, 2023

Verification of Semantic Key Point Detection for Aircraft Pose Estimation.

Panagiotis Kouvaros, Francesco Leofante, Blake Edwards, Calvin Chung, Dragos D. Margineantu, Alessio Lomuscio

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

2021

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

Proceedings of the Formal Methods - 24th International Symposium, 2021

2020

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

Proceedings of the Computer Aided Verification - 32nd International Conference, 2020

2018

Embeddings for the Identification of Aircraft Faults (MERIT).

Mohamed Elshrif, Stefano Giovanni Rizzo, Franz D. Betz, Dragos D. Margineantu, Mohammed J. Zaki, Saniav Chawla

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2012

Scalable Inverse Reinforcement Learning via Instructed Feature Construction.

Tomás Singliar, Dragos D. Margineantu

Proceedings of the Neural-Symbolic Learning and Reasoning (NeSy 2012), 2012

2010

Machine learning algorithms for event detection.

Dragos D. Margineantu, Weng-Keen Wong, Denver Dash

Mach. Learn., 2010

2005

Data mining methods for anomaly detection KDD-2005 workshop report.

Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane

SIGKDD Explor., 2005

Active Cost-Sensitive Learning.

Dragos D. Margineantu

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2002

Class Probability Estimation and Cost-Sensitive Classification Decisions.

Dragos D. Margineantu

Proceedings of the Machine Learning: ECML 2002, 2002

2000

Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers.

Dragos D. Margineantu, Thomas G. Dietterich

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999

Applying Supervised Learning to Real-World Problems.

Dragos D. Margineantu

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1997

Pruning Adaptive Boosting.

Dragos D. Margineantu, Thomas G. Dietterich

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997