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
Probabilistic Scoring 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 Errors In 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.