Treffer 1 - 20 von 78.080

1

Deep learning models are vulnerable, but adversarial examples are even more vulnerable
Li, Jun ; Xu, Yanwei ; Li, Keran ; et al.

Computer Vision and Patt... Artificial Intelligence
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3

Diagnosing Deep Learning Errors with Reinforcement Learning-Driven Adversarial Examples
Kaicheng Shao ; Yuteng Lu ; Ai Liu ; et al.
2025 25th International Conference on Software Quality, Reliability and Security (QRS). :154-163

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4

Hierarchical classification of scientific articles using deep learning (using the UDC hierarchy as an example)
Valentin Y. Mamedov ; Danil A. Kovalevsky ; Dmitry A. Morozov ; et al.
Моделирование и анализ информационных систем, Vol 32, Iss 1, Pp 80-94 (2025)

universal decimal classi... text classification hierarchical text classi... deep learning Information technology T58.5-58.64
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5

Tackling a textbook example of multistep enzyme catalysis with deep learning-driven design
Boje, Ingwersen ; Birte, Höcker
Molecular Cell. 85:1260-1262

Deep Learning Biocatalysis Humans Protein Engineering Catalysis Enzymes
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6

Research on the Application of Metacognitive Teaching Scaffolding Empowered by GenAI in Deep Learning——Taking the vocational school course 'Fundamentals and Skills of Electronic Technology' as an example
Pingzhang Gou ; Tianzhiwen Teng ; Limeng Wang
Proceedings of the 2025 6th International Conference on Education, Knowledge and Information Management. :430-434

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8

Application of Machine Learning and Deep Learning in Medical Image Segmentation - an Example of Liver CT Images
Pengyu Feng
2025 5th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). :104-108

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9

Deep learning of phase transitions with minimal examples
Abuali, Ahmed ; Clarke, David A. ; Hjorth-Jensen, Morten ; et al.
Phys. Rev. E 112 (2025) 3, 035315

Statistical Mechanics Nuclear Theory Data Analysis, Statistic...
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10

The predictability study of oceanic deep learning models: Taking Kuroshio intrusion into South China Sea as an example
Wang, Qiang ; Qian, Junkai ; Mu, Mu ; et al.
In Ocean Modelling December 2025 198

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11

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12

Interpreting regional characteristics of heritage houses based on 3D digital landscape and point cloud deep learning – Take Tibetan houses in the northeastern region of Aba prefecture as an example
Zu, Xiaoyi ; Gao, Chen ; Xie, Lingfeng ; et al.
In International Journal of Applied Earth Observation and Geoinformation August 2025 142

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13

Application research on deep learning algorithms supporting cross-border low-carbon IoT systems in manufacturing—taking Guangdong, China, as an example
Jianzhong Li ; Qiang Wan ; Juan Zhang ; et al.
International Journal of Low-Carbon Technologies. 20:315-322

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14

Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection
Xiaokun Luan ; Xiyue Zhang ; Jingyi Wang ; et al.
Luan, X, Zhang, X, Wang, J & Sun, M 2025, 'Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection', IEEE Transactions on Neural Networks and Learning Systems.

Software Engineering (cs... FOS: Computer and inform... Computer Science - Machi... Computer Science - Softw... Computer Science - Crypt... Cryptography and Securit...
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15

Student Emotion Recognition Research Based on Deep Learning Techniques: An Example of Primary and Secondary School Classrooms
Yimei Huang ; Taojie Xu ; Wei Deng ; et al.
Communications in Computer and Information Science ISBN: 9789819515240

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16

Handling data drift in deep learning-based quality monitoring: evaluating calibration methods using the example of friction stir welding
Bauer, Johannes C. ; Trattnig, Stephan ; Vieltorf, Fabian ; et al.
Journal of Intelligent Manufacturing. :1-16

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18

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19

Research on Deep Learning Network Sample Generation Method Based on Abnormal Examples
Xuan Xian ; Tiantian Du ; Zihan Deng
2025 7th International Conference on Software Engineering and Computer Science (CSECS). :1-5

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20

A Practical Study of Blended Learning from a Deep Learning Perspective: —Take the National First-Class Course 'Early Reading and Instruction' as an Example
Teng Wei ; Li Li
2025 14th International Conference on Educational and Information Technology (ICEIT). :291-296

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