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26th DS 2023: Porto, Portugal
- Albert Bifet
, Ana Carolina Lorena
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings. Lecture Notes in Computer Science 14276, Springer 2023, ISBN 978-3-031-45274-1
Machine Learning Methods and Applications
- Adriane Beatriz de Souza Serapião
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. 3-17 - Rafael Teixeira
Exploring the Intricacies of Neural Network Optimization. 18-32 - Fernando Freitas
Exploring the Reduction of Configuration Spaces of Workflows. 33-47 - Aljaz Osojnik
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. 48-63 - Yann Claes
Knowledge-Guided Additive Modeling for Supervised Regression. 64-78
Natural Language Processing and Social Media Analysis
- Takayasu Fushimi
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. 81-95 - Margherita Gambini
From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter. 96-110 - Giuseppina Andresini
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. 111-125 - Riccardo Cantini
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT. 126-140 - Hélder Dias, Artur Guimarães, Bruno Martins, Mathieu Roche:
Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers. 141-155
Interpretability and Explainability in AI
- Fabrizio Angiulli
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. 159-173 - Massimiliano Altieri
Explainable Spatio-Temporal Graph Modeling. 174-188 - Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier:
Probabilistic Scoring Lists for Interpretable Machine Learning. 189-203 - Pavlin G. Policar
Refining Temporal Visualizations Using the Directional Coherence Loss. 204-215 - Luca Corbucci
Semantic Enrichment of Explanations of AI Models for Healthcare. 216-229 - Mattia Poggioli, Francesco Spinnato
Text to Time Series Representations: Towards Interpretable Predictive Models. 230-245
Data Analysis and Optimization
- Mario Mallea
Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. 249-264 - Christoph Sandrock
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. 265-276 - Yuxuan Wang, Ross D. King
Extrapolation is Not the Same as Interpolation. 277-292 - Jaka Kokosar
Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining. 293-307 - Maik Büttner, Christian Beyer
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. 308-322
Fairness, Privacy and Security in AI
- Francesca Naretto
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. 325-340 - Joe Germino
Fairness-Aware Mixture of Experts with Interpretability Budgets. 341-355 - Federico Mazzoni
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. 356-371 - Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus:
Privacy-Preserving Learning of Random Forests Without Revealing the Trees. 372-386 - Misgina Tsighe Hagos
Unlearning Spurious Correlations in Chest X-Ray Classification. 387-397
Control and Spatio-Temporal Modeling
- John Pavlopoulos
Explaining the Chronological Attribution of Greek Papyri Images. 401-415 - Konstantina Liagkou, John Pavlopoulos
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. 416-430 - Eri Kuroda
Predictive Inference Model of the Physical Environment that Emulates Predictive Coding. 431-445 - Domen Soberl
Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. 446-459 - Thiago Andrade
Which Way to Go - Finding Frequent Trajectories Through Clustering. 460-473
Graph Theory and Network Analysis
- Yiping Tang
Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks. 477-491 - Riccardo Guidotti
Interpretable Data Partitioning Through Tree-Based Clustering Methods. 492-507 - Chamalee Wickrama Arachchi
Jaccard-Constrained Dense Subgraph Discovery. 508-522 - Filip Kronström
RIMBO - An Ontology for Model Revision Databases. 523-534 - Julien Cassagne
Unsupervised Graph Neural Networks for Source Code Similarity Detection. 535-549
Time Series and Forecasting
- Dennis Slepov
A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios. 553-566 - Chetraj Pandey
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. 567-581 - Yuta Sumiya
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes. 582-596
Healthcare and Biological Data Analysis
- Albrecht Zimmermann
Chance and the Predictive Limit in Basketball (Both College and Professional). 599-613 - Isabel Coutinho
Exploring Label Correlations for Quantification of ICD Codes. 614-627 - Alexander H. Gower
LGEM+: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction. 628-643 - Athos Moraes
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. 644-658
Anomaly, Outlier and Novelty Detection
- Rafael Mamede
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. 661-672 - Paul Kiyambu Mvula
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. 673-687 - Florian Kalinke
Multi-kernel Times Series Outlier Detection. 688-702 - Jean-Gabriel Gaudreault
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. 703-717
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