E-raamat: Discovery Science: 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings

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 Random Forests Without Revealing
the Trees.- Unlearning Spurious Correlations in Chest X-ray
Classification.- Explaining the Chronological Attribution of Greek Papyri
Images.- Leveraging the Spatiotemporal Analysis of Meisho-e
Landscapes.- Predictive Inference Model of the Physical Environment that
emulates Predictive Coding.- Transferring a Learned Qualitative Cart-Pole
Control Model to Uneven Terrains.- Which Way to Go - Finding Frequent
Trajectories Through Clustering.- Boosting-based Construction of BDDs for
Linear Threshold Functions and  Its Application to Verification of Neural
Networks.- Interpretable Data Partitioning through Tree-based Clustering
Methods.- Jaccard-constrained dense subgraph discovery.- RIMBO - an ontology
for model revision databases.- Unsupervised Graph Neural Networks for Source
Code Similarity Detection.- A Universal Approach for Post-Correcting Time
Series.- Forecasts: Reducing Long-term ErrorsIn Multistep
Scenarios.- Explainable Deep Learning-based Solar Flare Prediction with post
hoc Attention for Operational Forecasting.- Pseudo Session-Based
Recommendation with Hierarchical Embedding and Session Attributes.- Chance
and the predictive limit in  basketball (both college and
professional).- Exploring Label Correlations for Quantification of ICD
Codes.- LGEM+: a first-order logic framework for automated improvement of
metabolic network models through abduction.- Predicting age from human lung
tissue through multi-modal data integration.- Error Analysis on Industry
Data:Using Weak Segment Detection for Local Model Agnostic Prediction
Intervals.- HEART: Heterogeneous Log Anomaly Detection using Robust
Transformers.- Multi-Kernel Time Series Outlier Detection.- Toward
Streamlining the Evaluation of Novelty Detection in Data Streams.