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Elena Burceanu
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2020 – today
- 2023
- [i11]Stefan Smeu, Elena Burceanu, Emanuela Haller, Andrei Liviu Nicolicioiu:
Stylist: Style-Driven Feature Ranking for Robust Novelty Detection. CoRR abs/2310.03738 (2023) - 2022
- [c9]Florin Brad, Andrei Manolache, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Rethinking the Authorship Verification Experimental Setups. EMNLP 2022: 5634-5643 - [c8]Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad:
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection. NeurIPS 2022 - [i10]Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad:
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection. CoRR abs/2206.15476 (2022) - [i9]Stefan Smeu, Elena Burceanu, Andrei Liviu Nicolicioiu, Emanuela Haller:
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! CoRR abs/2210.03103 (2022) - [i8]Elena Burceanu, Marius Leordeanu:
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time. CoRR abs/2212.08058 (2022) - 2021
- [c7]Emanuela Haller, Elena Burceanu, Marius Leordeanu:
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. BMVC 2021: 153 - [c6]Andrei Manolache, Florin Brad, Elena Burceanu:
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. NAACL-HLT 2021: 267-277 - [i7]Emanuela Haller, Elena Burceanu, Marius Leordeanu:
Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph. CoRR abs/2103.14417 (2021) - [i6]Andrei Manolache, Florin Brad, Elena Burceanu:
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. CoRR abs/2104.05591 (2021) - [i5]Andrei Manolache, Florin Brad, Elena Burceanu, Antonio Barbalau, Radu Tudor Ionescu, Marius Popescu:
Transferring BERT-like Transformers' Knowledge for Authorship Verification. CoRR abs/2112.05125 (2021) - 2020
- [c5]Elena Burceanu, Marius Leordeanu:
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. IJCAI 2020: 495-501 - [c4]Elena Burceanu:
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking. Preregister@NeurIPS 2020: 126-138 - [i4]Elena Burceanu:
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking. CoRR abs/2011.13843 (2020)
2010 – 2019
- 2019
- [i3]Elena Burceanu, Marius Leordeanu:
A Spectral Approach to Unsupervised Object Segmentation in Video. CoRR abs/1907.02731 (2019) - 2018
- [c3]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints. ECCV Workshops (1) 2018: 162-178 - [i2]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts using Co-occurrence Constraints. CoRR abs/1804.01771 (2018) - 2017
- [i1]Elena Burceanu, Marius Leordeanu:
Learning a Robust Society of Tracking Parts. CoRR abs/1705.09602 (2017) - 2015
- [c2]Stefania Budulan, Elena Burceanu, Traian Rebedea, Costin Chiru:
Continuous User Authentication Using Machine Learning on Touch Dynamics. ICONIP (1) 2015: 591-598 - 2013
- [c1]Elena Burceanu, Ciprian Dobre, Valentin Cristea, Alexandru Costan, Gabriel Antoniu:
Distributed Data Storage in Support for Context-Aware Applications. ISPDC 2013: 93-100
Coauthor Index
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