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Machine learning

The predictive skill of convolutional neural networks models for disease forecasting

Kookjin Lee, Jaideep Ray, Cosmin Safta

Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques

Colin Griesbach, Andreas Groll, Elisabeth Bergherr

Exploration of physiological sensors, features, and machine learning models for pain intensity estimation

Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi

Fine-grained classification based on multi-scale pyramid convolution networks

Gaihua Wang, Lei Cheng, [ ... ], Tianlun Zhang

Text classification to streamline online wildlife trade analyses

Oliver C. Stringham, Stephanie Moncayo, [ ... ], Phillip Cassey

Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis

Zhanyou Xu, Andreomar Kurek, Steven B. Cannon, William D. Beavis

Multiple imputation with compatibility for high-dimensional data

Faisal Maqbool Zahid, Shahla Faisal, Christian Heumann

Mapping urban greenspace use from mobile phone GPS data

Meghann Mears, Paul Brindley, [ ... ], Ravi Maheswaran

A simple and robust method for automating analysis of naïve and regenerating peripheral nerves

Alison L. Wong, Nicholas Hricz, [ ... ], Sami Tuffaha

Classification of masked image data

Kamila Lis, Mateusz Koryciński, Konrad A. Ciecierski

A machine learning based exploration of COVID-19 mortality risk

Mahdi Mahdavi, Hadi Choubdar, [ ... ], Ehsan Kamrani

Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database—HF_Lung_V1

Fu-Shun Hsu, Shang-Ran Huang, [ ... ], Feipei Lai

Heart rate variability analysis for the assessment of immersive emotional arousal using virtual reality: Comparing real and virtual scenarios

Javier Marín-Morales, Juan Luis Higuera-Trujillo, [ ... ], Gaetano Valenza

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