Papers matching “deep learning classification” 423
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Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 Computing and Software for Big Science article Computer Science Adversarial Robustness in Machine Learning Open access
Lucie Flek, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, Philipp Soldin, +1 more
7citations -
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access
Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more
0citations -
An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression2021 IEEE Journal on Selected Areas in Communications article Computer Science Wireless Signal Modulation Classification
Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Otsuki Ohtsuki, Octavia A. Dobre, H. Vincent Poor
300citations -
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC2023 MIPRO ICT and Electronics Convention (MIPRO) conference-paper Computer Science Machine Learning and Data Classification
Morris Riedel, Chadi Barakat, Sebastian Johannes Fritsch, Andreas Lintermann, Andreas Schuppert, Sigurður Brynjólfsson, +2 more
1citations -
Convolutional Neural Networks and Their Activations: An Exploratory Case Study on Mounded Settlements2024 Journal of Computer Applications in Archaeology article Earth and Planetary Sciences Archaeological Research and Protection Open access
Șerban Vădineanu, Tuna Kalaycı, Daniël M. Pelt, Kees Joost Batenburg
3citations -
Generation and validation of a high-resolution fossil diatom record from Saliña Bartol, Bonaire, based on convolutional neural networks2026 Applied Computing and Geosciences article Agricultural and Biological Sciences Diatoms and Algae Research Open access
Romee van der Kuil, Kees Nooren, Madlene Nussbaum, Edwin Bennink, Francesca Sangiorgi, Timme H. Donders
0citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
5citations -
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease2025 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, Huiberdina L. Koek, Jurgen A.H.R. Claassen, +5 more
0citations -
Quantitative Whole Slide Assessment of Tumor-Infiltrating CD8-Positive Lymphocytes in ER-Positive Breast Cancer in Relation to Clinical Outcome2020 IEEE Journal of Biomedical and Health Informatics article Computer Science AI in cancer detection cited by 1 patent
Daniëlle Krijgsman, Marinus B. van Leeuwen, John van der Ven, Ruud Vlutters, David Halter, Peter J.K. Kuppen, +2 more
32citations -
When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multiband Imaging Data2023 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
I.T Andika, K. Jahnkę, Arjen van der Wel, Eduardo Bañados, Sarah E. I. Bosman, Frederick B. Davies, +5 more
8citations -
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
4citations -
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