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Machine learning algorithms

Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity

Sofia Leite, Bruno Mota, [ ... ], Pedro Pereira Rodrigues

HPOSS: A hierarchical portfolio optimization stacking strategy to reduce the generalization error of ensembles of models

Luan Carlos de Sena Monteiro Ozelim, Dimas Betioli Ribeiro, [ ... ], Paulo Ivo Braga de Queiroz

SentiUrdu-1M: A large-scale tweet dataset for Urdu text sentiment analysis using weakly supervised learning

Abdul Ghafoor, Ali Shariq Imran, [ ... ], Rakhi Batra

A distributed SDN-based intrusion detection system for IoT using optimized forests

Ke Luo

FPLV: Enhancing recommender systems with fuzzy preference, vector similarity, and user community for rating prediction

Zhan Su, Haochuan Yang, Jun Ai

Multi-threshold image segmentation of 2D OTSU inland ships based on improved genetic algorithm

Zhongbo Peng, Lumeng Wang, [ ... ], Chunyu Zhang

Applicability of machine learning technique in the screening of patients with mild traumatic brain injury

Miriam Leiko Terabe, Miyoko Massago, [ ... ], Luciano de Andrade

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

Md. Merajul Islam, Md. Jahangir Alam, [ ... ], Dulal Chandra Roy

Prehospital prediction of hospital admission for emergent acuity patients transported by paramedics: A population-based cohort study using machine learning

Ryan P. Strum, Fabrice I. Mowbray, Manaf Zargoush, Aaron P. Jones

Machine learning models can predict subsequent publication of North American Spine Society (NASS) annual general meeting abstracts

Aazad Abbas, Olumide Olotu, [ ... ], Jay Toor

clusterBMA: Bayesian model averaging for clustering

Owen Forbes, Edgar Santos-Fernandez, [ ... ], Kerrie Mengersen

Enhancing anomaly detection in distributed power systems using autoencoder-based federated learning

Kimleang Kea, Youngsun Han, Tae-Kyung Kim

How to understand high global food price? Using SHAP to interpret machine learning algorithm

Xiao Han, Tong Yuan, [ ... ], Bing Gong

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