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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 -
Transfer Learning for Semi-Supervised Automatic Modulation Classification in ZF-MIMO Systems2020 IEEE Journal on Emerging and Selected Topics in Circuits and Systems article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Hikmet Sari, Fumiyuki Adachi
115citations -
Anomaly Detection in Intensive Care Unit Data: A Comparative Analysis2026 International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Simon Fonck, Lavinia Goldermann, Sebastian Johannes Fritsch, Lena Olivier, André Stollenwerk
0citations -
Learning multimodal explainable AI models from medical images and tabular data: proof of concept2025 SPIE Medical Imaging: Image Processing conference-paper Computer Science Explainable Artificial Intelligence (XAI)
Mafalda Malafaia, Thalea Schlender, Peter A. N. Bosman, Tanja Alderliesten
0citations -
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys Itzell Carrero, Tobias Seibel, Marko van Treeck, +10 more
22citations -
A Lightweight Decentralized-Learning-Based Automatic Modulation Classification Method for Resource-Constrained Edge Devices2022 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification
Biao Dong, Yuchao Liu, Guan Gui, Xue Gang Fu, Heng Dong, Bamidele Adebisi, +2 more
52citations -
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access
Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Ankit Vishnubhotla, Richard A. Warren, +13 more
18citations -
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation2024 The Journal of Machine Learning for Biomedical Imaging article Computer Science Medical Image Segmentation Techniques Open access
Prerak Mody, Nicolas F. Chaves-de-Plaza, Chinmay Rao, Eleftheria Astrenidou, Mischa de Ridder, Nienke Hoekstra, +2 more
2citations -
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
0citations -
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access
Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
0citations