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Machine learning

Quantitative Sensory Testing Predicts Pregabalin Efficacy in Painful Chronic Pancreatitis

Søren S. Olesen, Carina Graversen, [ ... ], Asbjørn M. Drewes

Cell-Type-Specific Predictive Network Yields Novel Insights into Mouse Embryonic Stem Cell Self-Renewal and Cell Fate

Karen G. Dowell, Allen K. Simons, [ ... ], Matthew A. Hibbs

Distributional Learning of Appearance

Lewis D. Griffin, M. Husni Wahab, Andrew J. Newell

An Ensemble Method for Predicting Subnuclear Localizations from Primary Protein Structures

Guo Sheng Han, Zu Guo Yu, [ ... ], Yu-Chu Tian

Collaborative Filtering for Brain-Computer Interaction Using Transfer Learning and Active Class Selection

Dongrui Wu, Brent J. Lance, Thomas D. Parsons

Morphology-Based Prediction of Osteogenic Differentiation Potential of Human Mesenchymal Stem Cells

Fumiko Matsuoka, Ichiro Takeuchi, [ ... ], Ryuji Kato

Estimating the Intended Sound Direction of the User: Toward an Auditory Brain-Computer Interface Using Out-of-Head Sound Localization

Isao Nambu, Masashi Ebisawa, [ ... ], Yasuhiro Wada

Automated Authorship Attribution Using Advanced Signal Classification Techniques

Maryam Ebrahimpour, Tālis J. Putniņš, [ ... ], Derek Abbott

Predicting the Binding Patterns of Hub Proteins: A Study Using Yeast Protein Interaction Networks

Carson M. Andorf, Vasant Honavar, Taner Z. Sen

The Use of Machine Learning Methodologies to Analyse Antibiotic and Biocide Susceptibility in Staphylococcus aureus

Joana Rosado Coelho, João André Carriço, [ ... ], Ana Teresa Freitas

Visualization of SNPs with t-SNE

Alexander Platzer

Using Consensus Bayesian Network to Model the Reactive Oxygen Species Regulatory Pathway

Liangdong Hu, Limin Wang

On the Relevance of Sophisticated Structural Annotations for Disulfide Connectivity Pattern Prediction

Julien Becker, Francis Maes, Louis Wehenkel

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