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Machine learning

A cross-dataset harmonized intrusion detection framework with statistically validated multi-model learning

Shailendra Mishra, Naif S. Alshammari, Hashim Hussain, Ruba Ahmed Alfahidah

Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning

Zhi Zhang, Yusha Xiao, [ ... ], Jiwu Liao

Normalizing flow based neural processes for Alzheimer’s disease progression prediction

Emad Al-anbari, Hossein Karshenas, Bijan Shoushtarian

DSCANet: Integrating dual encoder and spatial cross-attention for polyp segmentation

Jun Su, Tiantian Shi, Bogdan Adamyk

An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework

Ali Alqazzaz

Non-lethal imaging and modeling approaches for estimating dry mass in aquatic larvae

Daniela Granados Frias, Najva Akbari, Lauren A. O’Connell, Bryan H. Juarez

Hybrid feature-selection and diversity-guided stacking framework for interpretable ensemble learning: Application to COVID-19 mortality prediction

Farideh Mohtasham, Seyed Saeed Hashemi Nazari, [ ... ], Mohammad Reza Zali

SCGAN-generated skin-tone-balanced extension of the HAM10000 dataset for fairer dermatological AI

Safrina Kabir

Classification of mushrooms based on AWPF-ResNet18

Xinhai Zhao, Hanchen Lin, Yongmin Guo, Ning Sun

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging

Tingshan Liu, Jayanta Dey, [ ... ], Joshua T. Vogelstein

LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation

Fei Mi, Yuan Xu, Shuanghong Mi

Mukara: A deep learning alternative to the four-step travel demand model with a case study on interurban highway traffic prediction in the UK

Yue Li, Shujuan Chen, Ying Jin

upsML: A high-accuracy machine learning classifier for predicting Plasmodium falciparum var gene upstream groups

Elcid Aaron Pangilinan, Mathieu Quenu, Antoine Claessens, Thomas D. Otto

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