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Decision trees

Bandgap prediction of two-dimensional materials using machine learning

Yu Zhang, Wenjing Xu, [ ... ], Meng Li

Comparing subjective and objective evaluations of player performance in Australian Rules football

Sam McIntosh, Stephanie Kovalchik, Sam Robertson

On the prevalence of uninformative parameters in statistical models applying model selection in applied ecology

Shawn J. Leroux

Prediction of Thermostability from Amino Acid Attributes by Combination of Clustering with Attribute Weighting: A New Vista in Engineering Enzymes

Mansour Ebrahimi, Amir Lakizadeh, [ ... ], Mahdi Ebrahimi

Benefits and Challenges of Scaling Up Expansion of Marine Protected Area Networks in the Verde Island Passage, Central Philippines

Vera Horigue, Robert L. Pressey, [ ... ], Serge Andréfouët

Clinical signs, profound acidemia, hypoglycemia, and hypernatremia are predictive of mortality in 1,400 critically ill neonatal calves with diarrhea

Florian M. Trefz, Ingrid Lorenz, Annette Lorch, Peter D. Constable

A New Approach for Assessing Sleep Duration and Postures from Ambulatory Accelerometry

Cornelia Wrzus, Andreas M. Brandmaier, [ ... ], Michaela Riediger

Computer-aided diagnosis of external and middle ear conditions: A machine learning approach

Michelle Viscaino, Juan C. Maass, [ ... ], Fernando Auat Cheein

MLViS: A Web Tool for Machine Learning-Based Virtual Screening in Early-Phase of Drug Discovery and Development

Selcuk Korkmaz, Gokmen Zararsiz, Dincer Goksuluk

An Introspective Comparison of Random Forest-Based Classifiers for the Analysis of Cluster-Correlated Data by Way of RF++

Yuliya V. Karpievitch, Elizabeth G. Hill, [ ... ], Jonas S. Almeida

The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival

Johan Nilsson, Mattias Ohlsson, [ ... ], Bodil Andersson

Production of Secondary Metabolites in Extreme Environments: Food- and Airborne Wallemia spp. Produce Toxic Metabolites at Hypersaline Conditions

Sašo Jančič, Jens C. Frisvad, [ ... ], Nina Gunde-Cimerman

Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach

Kimberly L. H. Carpenter, Pablo Sprechmann, [ ... ], Helen L. Egger

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