Distributed Data Storage in Support for Context-Aware Applications. - Elena Burceanu; Ciprian Dobre; Valentin Cristea; Alexandru Costan; Gabriel Antoniu (ISPDC, 2013)

Continuous User Authentication Using Machine Learning on Touch Dynamics. - Stefania Budulan; Elena Burceanu; Traian Rebedea; Costin Chiru (ICONIP (1), 2015)

Learning a Robust Society of Tracking Parts. - Elena Burceanu; Marius Leordeanu (CoRR, 2017)

Learning a Robust Society of Tracking Parts Using Co-occurrence Constraints. - Elena Burceanu; Marius Leordeanu (ECCV Workshops (1), 2018)

A Spectral Approach to Unsupervised Object Segmentation in Video. - Elena Burceanu; Marius Leordeanu (CoRR, 2019)

A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time. - Elena Burceanu; Marius Leordeanu (IJCAI, 2020)

SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking. - Elena Burceanu (Preregister@NeurIPS, 2020)

Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift. - Emanuela Haller; Elena Burceanu; Marius Leordeanu (BMVC, 2021)

DATE: Detecting Anomalies in Text via Self-Supervision of Transformers. - Andrei Manolache; Florin Brad; Elena Burceanu (NAACL-HLT, 2021)

Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph. - Emanuela Haller; Elena Burceanu; Marius Leordeanu (CoRR, 2021)

Transferring BERT-like Transformers' Knowledge for Authorship Verification. - Andrei Manolache; Florin Brad; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (CoRR, 2021)

Rethinking the Authorship Verification Experimental Setups. - Florin Brad; Andrei Manolache; Elena Burceanu; Antonio Barbalau; Radu Tudor Ionescu; Marius Popescu (EMNLP, 2022)

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection. - Marius Dragoi; Elena Burceanu; Emanuela Haller; Andrei Manolache; Florin Brad (NeurIPS, 2022)

Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! - Stefan Smeu; Elena Burceanu; Andrei Liviu Nicolicioiu; Emanuela Haller (CoRR, 2022)

Stylist: Style-Driven Feature Ranking for Robust Novelty Detection. - Stefan Smeu; Elena Burceanu; Emanuela Haller; Andrei Liviu Nicolicioiu (CoRR, 2023)

ConceptDrift: Uncovering Biases through the Lens of Foundational Models. - Cristian Daniel Paduraru; Antonio Barbalau; Radu Filipescu; Andrei Liviu Nicolicioiu; Elena Burceanu (CoRR, 2024)

Robust Novelty Detection Through Style-Conscious Feature Ranking. - Stefan Smeu; Elena Burceanu; Emanuela Haller; Andrei Liviu Nicolicioiu (WACV, 2025)

Learning a fast 3D spectral approach to object segmentation and tracking over space and time. - Elena Burceanu; Marius Leordeanu (Artif. Intell., 2025)

Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation. - Daniel Airinei; Elena Burceanu; Marius Leordeanu (CoRR, 2025)