Advances in Intelligent Data Analysis XX

Multi-Modal Ensembles of Regressor Chains for Multi-Output Prediction.- A Two-Step Approach for Explainable Relation Extraction.- Towards Automation of Topic Taxonomy Construction.- A fault detection framework based on LSTM autoencoder: a case study for Volvo bus data.- Detection and Multi-Label Classification of Bats.- End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network.- Effcient Bayesian learning of sparse deep artificial neural networks.- Tensor Completion Post-Correction.- Hadi Fanaee-T S-LIME: Reconciling Locality and Fidelity in Linear Explanations.- Changes in Predictions of Classification Models for Data Streams.- Impact of dimensionality on nowcasting seasonal influenza with environmental factors.- On Usefulness of Outlier Elimination in Classification Tasks.- Suitability of Different Metric Choices for Concept Drift Detection.- Exploring the Geometry and Topology of Neural Network Loss Landscapes.- Selecting Outstanding Patterns Based on their Neighbourhood.- Using Explainable Boosting Machine to Compare Idiographic and Nomothetic Approaches for Ecological Momentary Assessment Data.- dunXai: DO-U-Net for Explainable (Multi-Label) Image Classification.- AGS: Attribution Guided Sharpening as a Defense Against Adversarial Attacks.- VAE-CE: Visual Contrastive Explanation using Disentangled VAEs.- Evaluation of Uplift Models with Non-Random Assignment Bias.- A Generic Trace Ordering Framework for Incremental Process Discovery.- Bank statements to network features: Extracting features out of time series using visibility graph.- Modular-Relatedness for Continual Learning.- Combining Multiple Data Sources to Predict IUCN Conservation Status of Reptiles.- LG4AV: Combining Language Models and Graph Neural Networks for Author Verification.-Effcient Subgroup Discovery Through Auto-Encoding.- Simulation of scientific experiments with generative models.- A Learning Vector Quantization Architecture for Transfer Learning