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Machine learning

Navigating decision space: Causal structure improves performance in a branching choice task

Andreas Arslan, Jonathan F. Kominsky

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability

Lawrence Fulton, Pin Lyu

ESA-YOLO: An efficient scale-aware traffic sign detection algorithm based on YOLOv11 under adverse weather conditions

ChenHao Li, ShuXian Liu, ZiNuo Peng

Predicting IVF outcomes using a logistic regression–ABC hybrid model: A proof-of-concept study on supplement associations

Uğur Ejder, Pınar Uskaner Hepsağ

Predicting 30-day and 1-year mortality in heart failure with preserved ejection fraction (HFpEF)

Ikgyu Shin, Nilay Bhatt, [ ... ], Karthik Murugiah

A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data

Xiaoou Fei, Man Ye, Zhou Du, Haibin Miao

Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia

Mohammad Zolfaghari, Mohammad Saniee Abadeh, Hedieh Sajedi

Research on epilepsy detection and recognition based on the combination of time frequency transform and deep learning model

Canhui Wang, Yan Li, [ ... ], Zongfang Ren

Point cloud generation adversarial network based on self-attention and curvature

Fusheng Sun, Chaofan Shen, [ ... ], Fengguang Xiong

Integrating graph neural networks and LSTM for path optimization in smart port multi-modal systems

Jiangjiang He, Weixun Chen, Jiaren Sun, Lin Zhu

Early adherence to biofeedback training predicts long-term improvement in stroke patients: A machine learning approach

Nandini Sengupta, Rezaul Begg, [ ... ], Marimuthu Palaniswami

A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis

Christian Marius Lillelund, Sanjay Kalra, Russell Greiner, The Pooled Resource Open-Access ALS Clinical Trials Consortium (PRO-ACT)

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