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Machine learning

Verification of historical sketches via one-class learning on compact feature representations

Hassan Ugail, Jan Ritch-Frel, Irina Matuzava, David G. Stork

Dynamics of botnet propagation model in complex networks considering hybrid method for botnet detection

Mahdieh Maazalahi, Soodeh Hosseini

Bidirectional fusion heterogeneous graph networks for semi-supervised Bitcoin transaction anomaly detection in dynamic transaction graphs

Bo Xiao, Wei Yin

GS-YOLO: A lightweight high-accuracy model for small target detection in drone aerial images

Xiaoyuan Jin, Xiyuan Zhu, [ ... ], Yuzhen Zhao

Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI

Klara Mogensen, Valerio Guarrasi, [ ... ], Sara Qvarlander

Exploration of comorbidity mechanisms between chronic pain and depression: Machine learning prediction models and SHAP interpretability analysis based on the CHARLS cohort

Tao-Ming Dai, Jie Yuan, Yue-Yang Ma, Jun-Jun Liu

Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size

Min Shen, Yongbo Cao, [ ... ], Yongfa Lv

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models

Fawaz Khaled Alarfaj

Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty

Pengfei Qu, Lei Song, Sihan Wang

Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models

Eric M. Mortensen, Nkiruka Atuegwu, Shane J. Sacco

A U-Net model for epidermal segmentation in optical coherence tomography images of actinic keratosis

Theofanis Angelis, Peter A. Philipsen, [ ... ], Gavrielle R. Untracht

Multistate animal-contact-related nontyphoidal Salmonella enterica outbreaks in the United States, 2009–2022: Network and machine learning analyses of exposure sources, settings, and serovars

Hammad Ur Rehman Bajwa, Suman Bhowmick, Csaba Varga

Deep learning-based arterial waveform analysis for predicting postoperative cerebrovascular events in pediatric patients with Moyamoya disease

Jung-Bin Park, Youmin Shin, [ ... ], Young-Gon Kim

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