Discovery Science

Ensembles of classifiers and quantifiers with data fusion for Quantification Learning.- Exploring the Intricacies of Neural Network Optimization.- Exploring the Reduction of Configuration Spaces of Workflows.- iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression.- Knowledge-Guided Additive Modeling For Supervised Regression.- Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments.- From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter.- GLORIA: A Graph Convolutional Network-based Approach for Review Spam Detection.- Unmasking COVID-19 False Information on Twitter: a Topic-based Approach with BERT.- Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers.- Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss.- Explainable Spatio-Temporal Graph Modeling.- ProbabilisticScoring Lists for Interpretable Machine Learning.- Refining Temporal Visualizations Using the Directional Coherence Loss.- Semantic enrichment of explanations of AI models for healthcare.- Text to Time Series Representations: Towards Interpretable Predictive Models.- Enhancing intra-modal similarity in a cross-modal triplet loss.- Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy.- Extrapolation is Not the Same as Interpolation.- Gene Interactions in Survival Data Analysis: A Data-driven Approach Using Restricted Mean Survival Time and Literature Mining.- Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features.- EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories.- Fairness-aware Mixture of Experts with Interpretability Budgets.- GenFair: A Genetic Fairness-Enhancing Data Generation Framework.- Privacy-Preserving Learning of