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Machine learning

A Novel Artificial Bee Colony Based Clustering Algorithm for Categorical Data

Jinchao Ji, Wei Pang, [ ... ], Zhiqiang Ma

Type and Timing of Childhood Maltreatment and Severity of Shutdown Dissociation in Patients with Schizophrenia Spectrum Disorder

Inga Schalinski, Martin H. Teicher

A Robust Ordering Strategy for Retailers Facing a Free Shipping Option

Qing-chun Meng, Xiao-le Wan, Xiao-xia Rong

QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting

Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D. W. Piper

Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability

Reinhold Scherer, Josef Faller, [ ... ], Gernot R. Müller-Putz

Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

Ajay Basavanhally, Satish Viswanath, Anant Madabhushi

Numerous but Rare: An Exploration of Magic Squares

Akimasa Kitajima, Macoto Kikuchi

Argumentation Based Joint Learning: A Novel Ensemble Learning Approach

Junyi Xu, Li Yao, Le Li

Effect of Noise in Intelligent Cellular Decision Making

Russell Bates, Oleg Blyuss, Ahmed Alsaedi, Alexey Zaikin

Morbidity Rate Prediction of Dengue Hemorrhagic Fever (DHF) Using the Support Vector Machine and the Aedes aegypti Infection Rate in Similar Climates and Geographical Areas

Kraisak Kesorn, Phatsavee Ongruk, [ ... ], Padet Siriyasatien

Computational Ranking of Yerba Mate Small Molecules Based on Their Predicted Contribution to Antibacterial Activity against Methicillin-Resistant Staphylococcus aureus

Caroline S. Rempe, Kellie P. Burris, [ ... ], C. Neal Stewart Jr.

Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest

Zhu-Hong You, Keith C. C. Chan, Pengwei Hu

Multi-Input Distributed Classifiers for Synthetic Genetic Circuits

Oleg Kanakov, Roman Kotelnikov, [ ... ], Mikhail Ivanchenko

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