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Machine learning

Transcriptomic associations and biomarkers in ANCA‑associated Glomerulonephritis and IgG4‑related Disease: A bioinformatics and machine learning study

Xu Li, Yufeng Qiao

Automatic bridge crack detections: A lightweight segmentation model for UAV inspection

Xuwei Dong, Zhibing Yu, Jiashuo Yuan, Jinpeng Dai

Proteomic machine-learning signatures associated with carotid plaque: A population-based hypothesis-generating study

Anna Szpakowicz, Wojciech Lesiński, [ ... ], Karol A. Kamiński

Comparative evaluation of convolutional and transformer-based object detection models for brain tumor localization in MRI

Farhan Naeem, Amara Haroon, [ ... ], Shahi Dost

Online labor trafficking and machine learning: A scoping review and research agenda

Rebaka Pradhan, Onn Shehory

How Generative Artificial Intelligence (GAI) reshapes students’ creativity in higher education: A chain path modeling Study from “Exploration–Exploitation” to “Co-Creation–Reflection”

Jie Xu, Yixuan Zeng

IoT-enabled smart home activity classification using BiLSTM and attention mechanisms

Sasmita Kumari Pradhan, Suryakanth V. Gangashetty

Optimisation of metabolic dysfunction-associated steatotic liver disease (MASLD) screening algorithm for resource-poor settings using machine learning

Chamila Mettananda, Kaveesha Sivasumithran, [ ... ], Anuradha Dassanayake

Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach

Qiang Yin

An integrated explainable AI framework with counterfactual optimization for decision support

Nusrat Jahan, Jannatul Maua, Uland Rozario, Hashibul Ahsan Shoaib

A spatiotemporal deep learning framework for detecting unusual human activity in surveillance videos

Manoj Kumar, Mantosh Biswas, [ ... ], Ahamed Shafeeq B. M.

Parkinson’s disease assessment with selfie video via feature engineering and explainable AI

Sitthatka Jaratsaeng, Anchalee Techasen, Narongrit Kasemsap, Thanapong Intharah

RA-PLA: Retrieval-augmented graph convolutional networks for protein-ligand binding affinity prediction

Karim Abbasi, Hossein Banadkuki, Reza Sepahvand, Shima Rashidi

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