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Machine learning

Random forest model can predict the prognosis of hospital-acquired Klebsiella pneumoniae infection as well as traditional logistic regression model

Shuaihua Fan, Jinlan Lin, [ ... ], Jun Guo

microbeSEG: A deep learning software tool with OMERO data management for efficient and accurate cell segmentation

Tim Scherr, Johannes Seiffarth, [ ... ], Ralf Mikut

Non-intrusive deep learning-based computational speech metrics with high-accuracy across a wide range of acoustic scenes

Peter Udo Diehl, Leifur Thorbergsson, [ ... ], Paul Meyer-Rachner

Preoperative echocardiography predictive analytics for postinduction hypotension prediction

Manabu Yoshimura, Hiroko Shiramoto, Mami Koga, Yasuhiro Morimoto

Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries

Nandor Hajdu, Kathleen Schmidt, [ ... ], Barnabas Szaszi

MTNet: A combined diagnosis algorithm of vessel segmentation and diabetic retinopathy for retinal images

Ruochen Liu, Song Gao, [ ... ], Jiaming Liu

Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data

Jaewon Chung, Beakcheol Jang

When less is more powerful: Shapley value attributed ablation with augmented learning for practical time series sensor data classification

Arijit Ukil, Leandro Marin, Antonio J. Jara

Android malware detection method based on highly distinguishable static features and DenseNet

Jiyun Yang, Zhibo Zhang, Heng Zhang, JiaWen Fan

Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers

Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Gretar Tryggvason

Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status

Qiang Zhai, Chun Ye, [ ... ], Jing Hua

SCGG: A deep structure-conditioned graph generative model

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

Meredith Cox, J. C. Panagides, [ ... ], Dania Daye

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