Papers matching “supervised classification” 190
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Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
An exploration of contrastive self-supervised learning for reconstructed atom probe tomography data2026 Machine Learning Science and Technology article Engineering Advanced Materials Characterization Techniques Open access
Janis A. Sälker, Marcus Hans, Jochen M. Schneider, Raheleh Hadian
0citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pretraining and Customized Fine-Tuning2025 Transportation Research Record Journal of the Transportation Research Board article Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Guo Song, Bart van Arem, Haneen Farah
2citations -
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access
Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah
0citations -
Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) conference-paper Computer Science Quantum Computing Algorithms and Architecture
Gabriele Cavallaro, Dennis Willsch, Madita Willsch, Kristel F. L. Michielsen, Morris Riedel
57citations -
Systematic analysis of jellyfish galaxy candidates in Fornax, Antlia, and Hydra from the S-PLUS survey: a self-supervised visual identification aid2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Yash Gondhalekar, Ana L. Chies-Santos, Rafael S. de Souza, C. Queiroz, A. R. Lopes, Fabrício Ferrari, +17 more
7citations -
Automated Cryo‐EM and Supervised Machine Learning Enable Reproducible Characterization of Extracellular Vesicles and Co‐Isolating Particles2026 Journal of Extracellular Vesicles article Biochemistry, Genetics and Molecular Biology Extracellular vesicles in disease Open access
Agustin Enciso‐Martinez, Frank G. A. Faas, A van der Meulen - de de Jong, Ton G. J. M. van Leeuwen, Rienk Nieuwland, Edwin van der Pol, +2 more
3citations -
Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds2025 The Astrophysical Journal article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi, Jacco Th. van Loon, Iain McDonald, Joana M. Oliveira, +4 more
3citations -
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