Papers matching “classification framework” 28
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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 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 -
Partially-Blind Single-Qubit Classification over a Prototype Hybrid Quantum Network2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Matteo Pasini, Tzula B. Propp, Janice van Dam, Garazi Muguruza, Alexandre Wanick, Hugues de Riedmatten, +1 more
0citations -
TopoEmbedX: A General Framework for Representation Learning on Topological Domains2026 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access
Florian Frantzen, Ibrahem ALJabea, Inês Bonacho dos Anjos Henriques-Cadby, Theodore Papamarkou, Mustafa Hajij, Michael T. Schaub
0citations -
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr
3citations -
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Haoran Xu, Yanlin Liu, Zizhao Tong, Jiaze Li, Kexue Fu, Yuyang Zhang, +5 more
0citations -
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations