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Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks

• Authors : Rami Haffar; David Sanchez; Josep Domingo-Ferrer

Subjects: Face images; image data set; image classification

• Source: IEEE Access, Vol 13, Pp 63827-63840 (2025)

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A Multimodel-Based Deep Learning Framework for Short Text Multiclass Classification with the Imbalanced and Extremely Small Data Set.

• Authors : Tong J; China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China.; Wang Z

Subjects: Deep Learning*; Language ; Neural Networks, Computer

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Oct 06; Vol. 2022, pp. 7183207. Date of Electronic Publication: 2022 Oct 06 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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Automatic Acne Severity Grading with a Small and Imbalanced Data Set of Low-Resolution Images.

• Authors : Bernhard, Rémi¹ (AUTHOR) ; Bletterer, Arnaud¹ (AUTHOR); Le Caro, Maëlle¹ (AUTHOR)

• Source: Dermatology & Therapy. Nov2024, Vol. 14 Issue 11, p2953-2969. 17p.

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation.

• Authors : Sankaranarayanan S; Mayo Clinic, Rochester, MN, United States.; Balan J

Subjects: COVID-19* ; Clinical Laboratory Information Systems* ; Deep Learning*

• Source: Journal of medical Internet research [J Med Internet Res] 2021 Sep 28; Vol. 23 (9), pp. e30157. Date of Electronic Publication: 2021 Sep 28.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Going Deeper With Deep Learning: Automatically Tracing Internal Reflection Horizons in Ice Sheets—Methodology and Benchmark Data Set

• Authors : Hameed Moqadam; Daniel Steinhage; Adalbert Wilhelm

Subjects: radioglaciology; deep learning; deep internal reflection horizon (IRH)

• Source: Journal of Geophysical Research: Machine Learning and Computation, Vol 2, Iss 2, Pp n/a-n/a (2025)

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Deep learning and feature based medication classifications from EEG in a large clinical data set.

• Authors : Nahmias DO; Electrical and Computer Engineering, University of Maryland, College Park, MD, 20740, USA. .; Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, 20993, USA. .

Subjects: Deep Learning* ; Electroencephalography*; Anticonvulsants/Anticonvulsants/Anticonvulsants/*therapeutic use

• Source: Scientific reports [Sci Rep] 2020 Aug 26; Vol. 10 (1), pp. 14206. Date of Electronic Publication: 2020 Aug 26.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Fühler‐im‐Netz: A smart grid and power line communication data set

• Authors : Christoph Balada; Sheraz Ahmed; Andreas Dengel

Subjects: data set; deep learning; IoT

• Source: IET Smart Grid, Vol 6, Iss 3, Pp 246-258 (2023)

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Data set terminology of deep learning in medicine: a historical review and recommendation

• Authors : Shannon L. Walston; Hiroshi Seki; Hirotaka Takita

Subjects: FOS: Computer and information sciences; Deep Learning; Artificial Intelligence (cs.AI)

• Source: Japanese Journal of Radiology. 42:1100-1109

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Multi-Task Faces (Mtf) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks

• Authors : Haffar, Rami; Sánchez, David; Domingo-Ferrer, Josep ...

Subjects: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]; FOS: Computer and information sciences; Deep learning 2000 MSC: 65D19

• Source: SSRN Electronic Journal.

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Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set

• Authors : Francesco Marzola; Piergiorgio Lochner; Andrea Naldi

Subjects: Deep Learning; Intracranial Pressure; Humans

• Source: Ultrasound in Medicine & Biology. 49:2060-2071

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