Advances in Intelligent Data Analysis XV

DSCo-NG: A Practical Language Modeling Approach for Time Series Classification.- Ranking Accuracy for Logistic-GEE models.- The Morality Machine: Tracking Moral Values in Tweets.- A Hybrid Approach for Probabilistic Relational Models Structure Learning.- On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks.- Obtaining Shape Descriptors from a Concave Hull-Based Clustering Algorithm.- Visual Perception of Discriminative Landmarks in Classified Time Series.- Spotting the Diffusion of New Psychoactive Substances over the Internet.- Feature Selection Issues in Long-Term Travel Time Prediction.- A Mean-Field Variational Bayesian Approach to Detecting Overlapping Communities with Inner Roles Using Poisson Link Generation.- Online Semi-supervised Learning for Multi-target Regression in Data streams Using AMRules.- A Toolkit for Analysis of Deep Learning Experiments.- The Optimistic Method for Model Estimation.- Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML.- Learning from the News: Predicting Entity Popularity on Twitter.- Multi-scale Kernel PCA and Its Application to Curvelet-based Feature Extraction for Mammographic Mass Characterization.- Weakly-supervised Symptom Recognition for Rare Diseases in Biomedical Text.- Estimating Sequence Similarity from Read Sets for Clustering Sequencing Data.- Widened Learning of Bayesian Network Classifiers.- Vote Buying Detection via Independent Component Analysis.- Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining.- A Framework for Interpolating Scattered Data Using Space-filling Curves.- Privacy-Awareness of Distributed Data Clustering Algorithms Revisited.- Bi-stochastic Matrix Approximation Framework for Data Co-clustering.- Sequential Cost-Sensitive Feature Acquisition.- Explainable and Efficient Link Prediction in Real-World Network Data.- DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs.- Similarity Based Hierarchical Clustering