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Credit Card Fraud Detection Using Asexual Reproduction Optimization

• Authors : Taha Mansouri; Nila Bahrambeik; Anahita Farhang Ghahfarokhi

Subjects: FOS: Computer and information sciences; Computer Science - Artificial Intelligence; Computer science

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MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors

• Authors : Chengzhi Wu; Kanran Zhou; Jan-Philipp Kaiser ...

Subjects: FOS: Computer and information sciences; Computer Science - Robotics; machine learning

• Source: Procedia CIRP, 106, 138–143

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Stabilization of a multi-frequency open cavity flow with gradient-enriched machine learning control

• Authors : Guy Y. Cornejo Maceda; Eliott Varon; François Lusseyran ...

Subjects: [SPI]Engineering Sciences [physics]; machine learning; shear layers

• Source: Journal of Fluid MechanicsJournal of Fluid Mechanics, 2023, 955, pp.A20. ⟨10.1017/jfm.2022.1050⟩

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Universal Early Warning Signals of Phase Transitions in Climate Systems

• Authors : Daniel Dylewsky; Timothy M. Lenton; Marten Scheffer

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Aquatic Ecology and Water Quality Management

• Source: Journal of the Royal Society, Interface 20 (2023) 201Journal of the Royal Society, Interface, 20(201)

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Data-driven reduced order modelling for patient-specific hemodynamics of coronary artery bypass grafts with physical and geometrical parameters

• Authors : Pierfrancesco Siena; Michele Girfoglio; Francesco Ballarin ...

Subjects: Numerical Analysis; Applied Mathematics; General Engineering

• Source: Journal of Scientific ComputingJournal of Scientific Computing, 2022

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Privacy and Trust Redefined in Federated Machine Learning

• Authors : William J Buchanan; Will Abramson; Adam James Hall

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Information privacy

• Source: Machine Learning and Knowledge Extraction, Vol 3, Iss 17, Pp 333-356 (2021)Machine Learning and Knowledge ExtractionVolume

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On the Importance of 3D Surface Information for Remote Sensing Classification Tasks

• Authors : Adam Dawood; Ryan Sander; Jan Petrich

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Science (General)

• Source: Data Science Journal, Vol 20, Iss 1 (2021)Data Science Journal; Vol 20 (2021); 20

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Mixed State Entanglement Classification using Artificial Neural Networks

• Authors : Cillian Harney; Stefano Pirandola; Mauro Paternostro

Subjects: Paper; FOS: Computer and information sciences; Computer Science - Machine Learning

• Source: New Journal of PhysicsHarney, C, Paternostro, M & Pirandola, S 2021, ' Mixed state entanglement classification using artificial neural networks ', New Journal of Physics, vol. 23, no. 6, 063033

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Utilising Flow Aggregation to Classify Benign Imitating Attacks

• Authors : Hanan Hindy; Miroslav Bures; Robert Atkinson

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer Science - Cryptography and Security

• Source: Sensors (Basel, Switzerland)Sensors, Vol 21, Iss 1761, p 1761 (2021)SensorsVolume 21Issue 5

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Interpreting Deep Learning Models with Marginal Attribution by Conditioning on Quantiles

• Authors : Andreas Tsanakas; Michael Merz; Ronald Richman

Subjects: QA75; FOS: Computer and information sciences; Computer Science - Machine Learning

• Source: Data Mining and Knowledge Discovery, 36 (4)

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