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Deep learning

On the influence of low-level visual features in film classification

Federico Álvarez, Faustino Sánchez, [ ... ], Guillermo Cisneros

An attention based deep learning model of clinical events in the intensive care unit

Deepak A. Kaji, John R. Zech, [ ... ], Eric K. Oermann

Effort-aware and just-in-time defect prediction with neural network

Lei Qiao, Yan Wang

Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography

Yu Gu, Xiaoqi Lu, [ ... ], Tao Zhou

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile

Ian J. C. MacCormick, Bryan M. Williams, [ ... ], Gabriela Czanner

Deep learning image recognition enables efficient genome editing in zebrafish by automated injections

Maria Lorena Cordero-Maldonado, Simon Perathoner, [ ... ], Jan de Sonneville

Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales

Margaret Kosmala, Koen Hufkens, Andrew D. Richardson

Modelling the thermal behaviour of a building facade using deep learning

Fidel Aznar, Victor Echarri, Carlos Rizo, Ramón Rizo

Automatic interpretation of otoliths using deep learning

Endre Moen, Nils Olav Handegard, [ ... ], Ketil Malde

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello

A deep learning approach to automatic detection of early glaucoma from visual fields

Şerife Seda Kucur, Gábor Holló, Raphael Sznitman

A deep learning model for the detection of both advanced and early glaucoma using fundus photography

Jin Mo Ahn, Sangsoo Kim, [ ... ], Ungsoo Samuel Kim

Optimal intensive care outcome prediction over time using machine learning

Christopher Meiring, Abhishek Dixit, [ ... ], Ari Ercole

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