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42

CalcGraph: taming the high costs of deep learning using models
Joe Lorentz ; Thomas Hartmann ; Assaad Moawad ; et al.
Software and Systems Modeling. 22:1151-1174

Computer science [C05] [... Computational graph mode... 0202 electrical engineer... 02 engineering and techn... Differentiable programmi... Edge AI …
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43

Improving cervical maturation degree classification accuracy using a multi-stage deep learning approach.
Motie, Parisa ; Ashkan, Ali ; Mohammad-Rahimi, Hossein ; et al.
Imaging Science in Dentistry; Sep2025, Vol. 55 Issue 3, p290-301, 12p

DEEP learning CLASSIFICATION CERVICAL vertebrae MACHINE learning AUTOMATION software ORTHOPEDICS …
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44

基于改进 YOLO11 的瓷砖表面检测轻量级算法. (Chinese)
张 虎 ; 李慧颖 ; 胡开华
Journal of Ceramics / Taoci Xuebao; Oct2025, Vol. 46 Issue 5, p1035-1044, 10p

CHINA CERAMIC tiles SURFACE defects PROCESS optimization ALGORITHMS IMAGE processing …
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45

Understanding Bugs in Multi-Language Deep Learning Frameworks
Li, Zengyang ; Wang, Sicheng ; Wang, Wenshuo ; et al.

Computer Science - Softw... Computer Science - Machi...
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46

Free lunch for testing: fuzzing deep-learning libraries from open source.
Wei, Anjiang ; Deng, Yinlin ; Yang, Chenyuan ; et al.
ICSE: International Conference on Software Engineering; 2022, p995-1007, 13p

DEEP learning LIBRARIES PYTHON programming langu... OPEN source software FUZZY automata
Konferenz
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47

EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters.
Chen, Yanming ; Luo, Tong ; Fang, Weiwei ; et al.
ACM Transactions on Internet Technology; May2024, Vol. 24 Issue 2, p1-24, 24p

DEEP learning SMART cities IMAGE recognition (Compu... DYNAMIC programming AUTONOMOUS vehicles
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48

Flex Attention: A Programming Model for Generating Optimized Attention Kernels
Dong, Juechu ; Feng, Boyuan ; Guessous, Driss ; et al.

Computer Science - Machi... Computer Science - Perfo... Computer Science - Progr...
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49

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads
Qidong Zhao ; Hao Wu ; Yueming Hao ; et al.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3. :48-63

Performance (cs.PF) FOS: Computer and inform... Computer Science - Perfo... Artificial Intelligence... Computer Science - Artif...
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50

Deep Learning and Scientific Computing with R torch.
Chowdhry, Amit K
Journal of the Royal Statistical Society: Series A (Statistics in Society). Jan2025, Vol. 188 Issue 1, p339-339. 1p.

PROGRAMMING languages SCIENCE education SOFTWARE maintenance SCHOOL discipline SCIENTIFIC computing DEEP learning
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51

py-irt: A Scalable Item Response Theory Library for Python.
Lalor, John Patrick ; Rodriguez, Pedro
INFORMS Journal on Computing. Jan/Feb2023, Vol. 35 Issue 1, p5-13. 9p.

BIG data ITEM response theory PYTHON programming langu... SOFTWARE development too...
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52

PyGAD: an intuitive genetic algorithm Python library.
Gad, Ahmed Fawzy
Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 20, p58029-58042, 14p

PYTHON programming langu... DEEP learning LIFE cycles (Biology) EVOLUTIONARY algorithms
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53

Orion: A Fully Homomorphic Encryption Framework for Deep Learning
Ebel, Austin ; Garimella, Karthik ; Reagen, Brandon

Computer Science - Crypt...
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54

Deep neural network predictions for excitation functions of 165Ho(α,xn) reactions
Türeci, R.Gökhan ; Sarpün, Ismail Hakki ; Aydin, Abdullah ; et al.
In Applied Radiation and Isotopes November 2025 225

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55

A walk in the black-box: 3D visualization of large neural networks in virtual reality
Christoph Linse ; Hammam Alshazly ; Thomas Martinetz
Neural Comput Appl

Artificial neural networ... Visual Explanations Artificial intelligence Explainable Artificial I... Computer Vision Generalization …
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56

CrossProbe: LLM-Empowered Cross-Project Bug Detection for Deep Learning Frameworks
Hao Guan ; Guangdong Bai ; Yepang Liu
Proceedings of the ACM on Software Engineering. 2:2430-2452

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57

Data Mining–Based Model for Computer-Aided Diagnosis of Autism and Gelotophobia: Mixed Methods Deep Learning Approach
Mohamed Eldawansy ; Hazem El Bakry ; Samaa M Shohieb
JMIR Formative Research, Vol 9, p e72115 (2025)

Medicine
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58

PyTorch Hyperparameter Tuning - A Tutorial for spotPython
Bartz-Beielstein, Thomas

Computer Science - Machi... Computer Science - Artif... Mathematics - Numerical... 68T07 A.1 B.8.0 …
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59

Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications
Shanmugavelu, Sanjif ; Taillefumier, Mathieu ; Culver, Christopher ; et al.

Computer Science - Distr... Computer Science - Machi...
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60

Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
Li, Hao ; Rajbahadur, Gopi Krishnan ; Bezemer, Cor-Paul

Computer Science - Softw... Computer Science - Artif...
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