Papers matching “classification framework” 95
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NeuroFAIR curator: an AI-assisted framework for metadata enrichment, quality screening, curation prioritization, and FAIR readiness of brain tumor MRI data2026 Frontiers in Neuroinformatics article Computer Science Research Data Management Practices Open access
Faizan Ullah, Zaheer Abbas, Mohmmad Abrar, Farhan Amin, N. Jon Shah
0citations -
GEval: A Modular and Extensible Evaluation Framework for Graph Embedding Techniques2020 Lecture notes in computer science conference-paper Computer Science Advanced Graph Neural Networks Open access
Maria Angela Pellegrino, Abdulrahman Altabba, Martina Garofalo, Petar Ristoski, Michael Cochez
19citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 CERN Document Server (European Organization for Nuclear Research) article Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Xaver Fink, Borja Fernández Adiego, Daniele Mirarchi, Eloise Matheson, Álvaro García González, Gianmarco Ricci, +1 more
0citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) conference-paper Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
5citations -
COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Laurens Hogeweg, Rajesh Gangireddy, Django Brunink, Vincent J. Kalkman, L. J. Cornelissen, Jacob W. Kamminga
2citations