Discovery Science

Bilinear Predictionusing Low Rank Models.- Finding Hidden Structure in Data with TensorDecompositions.- Turning Prediction Tools Into Decision Tools.- Overcomingobstacles to the adoption of machine learning by domain Experts.- Resolutiontransfer in cancer classification based on amplification patterns.- VeryShort-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning.- Discoveryof Parameters for Animation of Midge Swarms.- No Sentiment is an Island:Author's activity and sentiments transactions in sentiment classification.- ActiveLearning for Classifying Template Matches in Historical Maps.- An evaluation ofscore descriptors combined with non-linear models of expressive dynamics inmusic.- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of EnvironmentalData Analysis.- Generalized Shortest Path Kernel on Graphs.- Ensembles ofextremely randomized trees for multi-target regression.- Clustering-BasedOptimised Probabilistic Active Learning (COPAL).- Predictive Analysis onTracking Emails for Targeted Marketing.- Semi-supervised Learning for StreamRecommender Systems.- Detecting Transmembrane Proteins Using Decision Trees.- Changepoint detection for information diffusion tree.- Multi-label Classification viaMulti-target Regression on Data Streams.- Periodical Skeletonization forPartially Periodic Pattern Mining.- Predicting Drugs Adverse Side-Effects usinga recommender-system.- Dr. Inventor Framework: extracting structuredinformation from scientific publications.- Predicting Protein Function andProtein-Ligand Interaction with the 3D Neighborhood Kernel.- HierarchicalMultidimensional Classification of web documents with MultiWebClass.- Evaluatingthe Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.- On theFeasibility of Discovering Meta-Patterns from a Data Ensemble.- An Algorithmfor Influence Maximization in a Two-Terminal Series.- Parallel Graph and ItsApplication to a Real Network.- Benchmarking Stream Clustering for ChurnDetection in