Elena Burceanu

Computer Science · Physical Sciences

3h-index43citations31works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Video Surveillance and Tracking Methods(10), Anomaly Detection Techniques and Applications(7), Visual Attention and Saliency Detection(5), Data-Driven Disease Surveillance(5), Advanced Image and Video Retrieval Techniques(4)

Publications31 total

Closing the gap on tabular data with Fourier and Implicit Categorical Features
arXiv (Cornell University)·2026Open Access
Closing the gap on tabular data with Fourier and Implicit Categorical Features
arXiv (Cornell University)·2026Open Access
Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
2025
Rethinking Sparse Autoencoders: Select-and-Project for Fairness and Control from Encoder Features Alone
arXiv (Cornell University)·2025Open Access
Not All Splits Are Equal: Rethinking Attribute Generalization Across Unrelated Categories
arXiv (Cornell University)·2025Open Access
Robust Novelty Detection Through Style-Conscious Feature Ranking
2025Open Access
Learning a fast 3D spectral approach to object segmentation and tracking over space and time
Artificial Intelligence·2025Open Access
Bridging Explainability and Embeddings: BEE Aware of Spuriousness
arXiv (Cornell University)·2024Open Access
Robust Novelty Detection through Style-Conscious Feature Ranking
arXiv (Cornell University)·2023Open Access
Environment-biased Feature Ranking for Novelty Detection Robustness
arXiv (Cornell University)·2023Open Access
Learning a Fast 3D Spectral Approach to Object Segmentation and Tracking over Space and Time
arXiv (Cornell University)·2022Open Access
AnoShift: A distribution shift benchmark for unsupervised anomaly detection
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!
arXiv (Cornell University)·2022· 1 citedOpen Access
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
arXiv (Cornell University)·2022· 15 citedOpen Access
Rethinking the Authorship Verification Experimental Setups
2022· 2 citedOpen Access
Rethinking the Authorship Verification Experimental Setups
arXiv (Cornell University)·2021· 4 citedOpen Access
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
arXiv (Cornell University)·2021· 2 citedOpen Access
Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph.
arXiv (Cornell University)·2021Open Access
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
2021
DATE: Detecting Anomalies in Text via Self-Supervision of Transformers
2021· 2 citedOpen Access
page 1 of 2Next →

Frequent Co-authors

Marius Leordeanu(12), Emanuela Haller(9), Andrei Manolache(5), Florin Brad(5), Antonio Bărbălau(5), Andrei Liviu Nicolicioiu(5), Stefan Smeu(4), Marius Drăgoi(2), Radu Tudor Ionescu(2), Marius Popescu(2), Ciprian Dobre(2), Valentin Cristea(2), Cristian Daniel Păduraru(2), Marius Dragoi(2), Florin Gogianu(2), Ştefania Budulan(1), Traian Rebedea(1), Costin-Gabriel Chiru(1), Daniel Airinei(1), Radu Filipescu(1)