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Frontiers in Big Data|December 12, 2022
Adaptive granularity in tensors: A quest for interpretable structureRavdeep S Pasricha, Ekta Gujral, Evangelos E PapalexakisFrontiers in Big Data|April 24, 2023
AI-based radiodiagnosis using chest X-rays: A reviewYasmeena Akhter, Richa Singh, Mayank VatsaFrontiers in Big Data|May 5, 2023
Comparative study of minutiae selection methods for digital fingerprintsBenoit Vibert, Jean-Marie Le Bars, Christophe Charrier, et al.Frontiers in Big Data|April 10, 2023
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severityMarko Tumbas, Sofija Markovic, Igor Salom, et al.Frontiers in Big Data|April 7, 2023
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervalsJohn Andrew Raine, Samuel Klein, Debajyoti Sengupta, et al.Frontiers in Big Data|November 7, 2022
Lethal autonomous weapons systems, revulsion, and respectRichard DeanFrontiers in Big Data|September 16, 2022
SemNet: Learning semantic attributes for human activity recognition with deep belief networksShanmuga Venkatachalam, Harideep Nair, Ming Zeng, et al.Frontiers in Big Data|September 29, 2022
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growthHelena Coggan, Helena Andres Terre, Pietro LiòFrontiers in Big Data|November 29, 2023
Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networksMohammed Mansour, Turker Berk Donmez, Mustafa Kutlu, et al.Pageof 74