Dragos D. Margineantu

22 papers A* 6B 2Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Define latent spaces by example: optimisation over the outputs of generative models. CoRR Samuel Willis, Alexandru I. Stere, Dragos D. Margineantu, Henry T. Oldroyd, John A. Fozard, Carl Henrik Ek, Henry Moss, Erik Bodin
2025	A*	`conf`	Linear combinations of latents in generative models: subspaces and beyond. ICLR Erik Bodin, Alexandru I. Stere, Dragos D. Margineantu, Carl Henrik Ek, Henry Moss
2024	—	`conf`	Runway Ground Movement Monitoring with Normalizing Flows. ITSC Liam A. Kruse, Charles A. Erignac, Jose A. Medina, Dragos D. Margineantu, Chad A. McFarland
2024	—	`conf`	System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CDC Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin
2024	J	`jnl`	System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CoRR Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin
2023	J	`jnl`	Guest Editorial: Special issue on robust machine learning. Mach. Learn. Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong
2023	J	`jnl`	Reinforcement Learning-Based Air Traffic Deconfliction. CoRR Denis Osipychev, Dragos D. Margineantu, Girish Chowdhary
2023	A*	`conf`	Verification of Semantic Key Point Detection for Aircraft Pose Estimation. KR Panagiotis Kouvaros, Francesco Leofante, Blake Edwards, Calvin Chung, Dragos D. Margineantu, Alessio Lomuscio
2021	B	`conf`	Formal Analysis of Neural Network-Based Systems in the Aircraft Domain. FM Panagiotis Kouvaros, Trent Kyono, Francesco Leofante, Alessio Lomuscio, Dragos D. Margineantu, Denis Osipychev, Yang Zheng
2020	—	`conf`	Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. CAV (1) Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia
2020	J	`jnl`	Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI. CoRR Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu, Denis Osipychev, Sanjit A. Seshia
2018	—	`conf`	Embeddings for the Identification of Aircraft Faults (MERIT). ICPHM Mohamed Elshrif, Stefano Giovanni Rizzo, Franz D. Betz, Dragos D. Margineantu, Mohammed J. Zaki, Saniav Chawla
2015	A*	`ed.`	Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 KDD Longbing Cao, Chengqi Zhang, Thorsten Joachims, Geoffrey I. Webb, Dragos D. Margineantu, Graham Williams
2012	—	`conf`	Scalable Inverse Reinforcement Learning via Instructed Feature Construction. NeSy@AAAI Tomás Singliar, Dragos D. Margineantu
2010	J	`jnl`	Machine learning algorithms for event detection. Mach. Learn. Dragos D. Margineantu, Weng-Keen Wong, Denver Dash
2005	A*	`conf`	Active Cost-Sensitive Learning. IJCAI Dragos D. Margineantu
2005	J	`jnl`	Data mining methods for anomaly detection KDD-2005 workshop report. SIGKDD Explor. Dragos D. Margineantu, Stephen Bay, Philip Chan, Terran Lane
2005	B	`conf`	Testing decision systems with classification components. IJCNN Dragos D. Margineantu, Michael Drumheller, Roman D. Fresnedo
2002	—	`conf`	Class Probability Estimation and Cost-Sensitive Classification Decisions. ECML Dragos D. Margineantu
2000	A*	`conf`	Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. ICML Dragos D. Margineantu, Thomas G. Dietterich
1999	—	`conf`	Applying Supervised Learning to Real-World Problems. AAAI/IAAI Dragos D. Margineantu
1997	A*	`conf`	Pruning Adaptive Boosting. ICML Dragos D. Margineantu, Thomas G. Dietterich