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Machine learning algorithms

Integrative machine learning and multi-omics framework identifies shared biomarkers for rheumatoid arthritis and ulcerative colitis

Meili Liu, Jun Ge, [ ... ], Yi Liu

A robust machine learning approach for DC bias prediction in DCO-OFDM based Li-Fi systems

Marwah Salman, David Siddle, Yuan Gao

Testing a bat fatality detection system at wind turbines

Sara P. Weaver, Jon D. Ritter, [ ... ], Brogan P. Morton

Machine learning based fault classification for improved induction motor performance

Zawar Ahmed Khan, Muhammad Amir Raza, [ ... ], Mohammed Aman

A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain

Antonio Lacalamita, Ester Pantaleo, [ ... ], Roberto Bellotti

Multiview state-of-health estimation for lithium-ion batteries using time–frequency image fusion and attention-based deep learning

Peijian Jin, Shuo Yang, [ ... ], Shimei Sun

Resampling methods for class imbalance in clinical prediction models: A scoping review protocol

Osama Abdelhay, Adam Shatnawi, Hassan Najadat, Taghreed Altamimi

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data

Md. A. Salam, Md. Merajul Islam, Md. Rezaul Karim

Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach

Novel Chandra Das, Probir Kumar Ghosh, [ ... ], Mohammad Ziaul Islam Chowdhury

Credit risk prediction model for listed companies based on improved reinforcement learning and Bayesian optimization hyperband

Cai Yuanqing, Zhenming Gao, [ ... ], Paweł Pławiak

Leveraging spatial data infrastructure for machine learning based building energy performance prediction

Suleyman Sisman, Abdullah Kara, Arif Cagdas Aydinoglu

Porosity prediction from well logging data via a hybrid MABC-LSSVM model

Wei Su, Jie Gao, Wensheng Wu, Haoyu Zhang

MONTUR project: Dataset for understanding and forecasting tourist flows

Marco Alderighi, Tiziana Ciano, Massimiliano Ferrara, Domenico Santoro

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