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Machine learning

Semi-Automatic Classification of Birdsong Elements Using a Linear Support Vector Machine

Ryosuke O. Tachibana, Naoya Oosugi, Kazuo Okanoya

Pre-Impact Fall Detection: Optimal Sensor Positioning Based on a Machine Learning Paradigm

Dario Martelli, Fiorenzo Artoni, [ ... ], Silvestro Micera

Area under Precision-Recall Curves for Weighted and Unweighted Data

Jens Keilwagen, Ivo Grosse, Jan Grau

Adaptive Distance Metric Learning for Diffusion Tensor Image Segmentation

Youyong Kong, Defeng Wang, [ ... ], Winnie C. W. Chu

Robots Show Us How to Teach Them: Feedback from Robots Shapes Tutoring Behavior during Action Learning

Anna-Lisa Vollmer, Manuel Mühlig, [ ... ], Britta Wrede

HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins

Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung

High Precision Prediction of Functional Sites in Protein Structures

Ljubomir Buturovic, Mike Wong, [ ... ], Dragutin Petkovic

Automated Breast Image Classification Using Features from Its Discrete Cosine Transform

Edward J. Kendall, Matthew T. Flynn

A Graph-Theoretic Approach for Identifying Non-Redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO

Monalisa Mandal, Anirban Mukhopadhyay

Learning to Rank Figures within a Biomedical Article

Feifan Liu, Hong Yu

Integrating Semantic Information into Multiple Kernels for Protein-Protein Interaction Extraction from Biomedical Literatures

Lishuang Li, Panpan Zhang, [ ... ], Degen Huang

Using Multi-Instance Hierarchical Clustering Learning System to Predict Yeast Gene Function

Bo Liao, Yun Li, Yan Jiang, Lijun Cai

A Formal Algorithm for Verifying the Validity of Clustering Results Based on Model Checking

Shaobin Huang, Yuan Cheng, [ ... ], Guofeng Liu

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