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1

DES WEB SERVICES POUR ENRICHIR DES MÉTADONNÉES : DES ALGORITHMES DE DEEP LEARNING APPLIQUÉS À L’INFORMATION SCIENTIFIQUE ET TECHNIQUE
Gaillard, Léo ; Anki, Lucas ; Bonvallot, Valérie ; et al.
Journée Deep Learning pour la science 2025, Jun 2025, Paris, France. 2025

Paris, France AI deep learning web services pytorch IA …
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2

Statistics and Machine Learning in Python
Duchesnay, Edouard ; Lofstedt, Tommy ; Younes, Feki ; et al.
Engineering school. France. 2025

Scikit-learn Machine Learning Python Statistics Statsmodels Pytorch …
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3

Building Bridges between Regression, Clustering, and Classification
Stewart, Lawrence ; Bach, Francis ; Berthet, Quentin ; et al.

Regression as classifica... Square loss Cross entropy Decoder Encoder DNN …
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4

Deep sight: Transformer-based prediction of diabetic retinopathy using PyTorch
Karuppusamy, Jothimani ; Selvam, Thangamani ; Nagesvaran, Nandhini ; et al.
International Journal of Diabetes in Developing Countries: Incorporating Diabetes Bulletin. :1-17

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5

HyperNOs: automated and parallel library for neural operators research
Ghiotto, Massimiliano
Bollettino dell'Unione Matematica Italiana. :1-35

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7

Comparative analysis of machine learning methodologies and technologies
Mukhitdinova Kh. Munavvarkhon
Цифровые модели и решения, Vol 4, Iss 1, Pp 78-85 (2025)

tensorflow reinforcement learning machine learning ml interpretability Economics as a science pytorch …
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8

Classification of Cells Infected by Malaria with Vision Transformers Models
Eduardo David Campopiano ; Iago Fonseca Marinho Pereira ; Thomas William ; et al.
Revista de Informática Teórica e Aplicada; Vol. 32 No. 1 (2025); 128-135
Revista de Informática Teórica e Aplicada; v. 32 n. 1 (2025); 128-135

Malaria Classification vit-pytorch Vision Transformer Cellular Tissue Microsco...
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9

Lung Tumor Segmentation in Medical Imaging Using U-NET
Jayapradha Jayaram ; Su-Cheng Haw ; Naveen Palanichamy ; et al.
Journal of Informatics and Web Engineering, Vol 4, Iss 1, Pp 140-151 (2025)

Electronic computers. Co... segmentation pytorch-lightning u-net QA75.5-76.95 Information technology …
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10

Unveiling Derivatives in Deep and Convolutional Neural Networks: A Guide to Understanding and Optimization
Rasheed, Areeg Fahad ; Zarkoosh, M. ; Al-Nahrain University ; et al.

Deep learning Convolutio... Deep learning Convolutional neural net... PyTorch TensorFlow [INFO]Computer Science [... …
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11

Spatially Invariant Convolutional Spiking Neural Network For Resource-Constrained IoT Devices
Yadav, Chetali ; Reniwal, Bhupendra Singh
Circuits, Systems, and Signal Processing. 44(5):3005-3026

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12

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
Zhao, Xunyi ; Le Hellard, Théotime ; Eyraud-Dubois, Lionel ; et al.
ICML 2023 - 40 th International Conference on Machine Learning, Jul 2023, Honolulu (HI), United States

Honolulu (HI), United St... Rematerialization PyTorch Neural networks [INFO.INFO-AI]Computer S... Artificial Intelligence...
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13

AI Lab: Docker Image for Machine Learning & Data Science
Varona, Humberto L. ; Universidade Federal de Pernambuco [Recife] (UFPE) ; Center for Risk Analysis and Environmental Modeling - CEERMA. Federal University of Pernambuco, Recife, PE, Brazil.

PyTorch Keras Computer vision Regression models Classification models AI. models …
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14

EN — Augmented Python & GlyphNet Eurêka — Towards a Universal Human↔AI Language
Tabary, Frédéric ; Zoran aSiM

Programmation Glyphnet Observatoire de pratique... Governance & auditabilit... Conformité AI Act / ISO/... Langage hybride humain↔I... …
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15

Analysis of Model Parallelism for AI Applications on a 64-core RV64 Server CPU
Malenza, Giulio ; Garcia, Adriano Marques ; Birke, Robert ; et al.
International Journal of Parallel Programming. 53(4)

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16

MRI-NUFFT: Doing non-Cartesian MRI has never been easier
Comby, Pierre-Antoine ; Daval-Frérot, Guillaume ; Pan, Caini ; et al.
Journal of Open Source Software. 10(108):7743-7743

PyTorch Python MRI NUFFT [INFO.INFO-CE]Computer S... Computational Engineerin... …
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17

EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines
Di Wu ; Yong Hong ; Jie Wang ; et al.
IEEE Access, Vol 13, Pp 9089-9101 (2025)

EFFICIENTNET-b0 feature extraction Pipeline defect predicti... non-destructive testing Electrical engineering.... regression analysis …
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18

Enhancing Water Bodies Detection in the Highland and Coastal Zones Through Multisensor Spectral Data Fusion and Deep Learning
Xiaofei Han ; Nazih Y. Rebouh ; Yasmeen Ahmed ; et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 15629-15642 (2025)

PyTorch U-net Ocean engineering remote sensing Coastal and inland water... QC801-809 Geophysics. Cosmic physi... …
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19

Single-View Depth Estimation: Advancing 3D Scene Interpretation With One Lens
Kavitha Dhanushkodi ; Akila Bala ; Neelam Chaplot
IEEE Access, Vol 13, Pp 20562-20573 (2025)

KITTI dataset deep learning PyTorch Electrical engineering.... NYU depth dataset V2 MiDaS …
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20

CNN-ENABLED DETECTION SYSTEM FOR AGRICULTURAL ANOMALY ANTICIPATION
Sandeep Kumar ; Vikrant Shokeen ; Amit Sharma ; et al.
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1947-1956 (2024)

ada pytorch yolo object detection TA1-2040 Engineering (General). C... …
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