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ORCID26th DS 2023: Porto, Portugal
- Albert Bifet
, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu:
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, Zahra Donyavi, Gustavo Batista:
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. 3-17 - Rafael Teixeira, Mário Antunes, Rúben Sobral, João Martins, Diogo Gomes, Rui L. Aguiar:
Exploring the Intricacies of Neural Network Optimization. 18-32 - Fernando Freitas, Pavel Brazdil, Carlos Soares:
Exploring the Reduction of Configuration Spaces of Workflows. 33-47 - Aljaz Osojnik, Pance Panov, Saso Dzeroski:
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. 48-63 - Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts:
Knowledge-Guided Additive Modeling for Supervised Regression. 64-78
Natural Language Processing and Social Media Analysis
- Takayasu Fushimi, Kazuki Sakamoto:
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. 81-95 - Margherita Gambini, Caterina Senette, Tiziano Fagni, Maurizio Tesconi:
From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter. 96-110 - Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba:
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. 111-125 - Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia:
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, Fabio Fassetti, Simona Nisticò, Luigi Palopoli:
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. 159-173 - Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo:
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, Blaz Zupan:
Refining Temporal Visualizations Using the Directional Coherence Loss. 204-215 - Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi:
Semantic Enrichment of Explanations of AI Models for Healthcare. 216-229 - Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti:
Text to Time Series Representations: Towards Interpretable Predictive Models. 230-245
Data Analysis and Optimization
- Mario Mallea, Ricardo Ñanculef, Mauricio Araya:
Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. 249-264 - Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick:
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, Martin Spendl, Blaz Zupan:
Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining. 293-307 - Maik Büttner, Christian Beyer, Myra Spiliopoulou:
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, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda:
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. 325-340 - Joe Germino, Nuno Moniz, Nitesh V. Chawla:
Fairness-Aware Mixture of Experts with Interpretability Budgets. 341-355 - Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri:
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, Kathleen M. Curran, Brian Mac Namee:
Unlearning Spurious Correlations in Chest X-Ray Classification. 387-397
Control and Spatio-Temporal Modeling
- John Pavlopoulos, Maria Konstantinidou, Georgios Vardakas, Isabelle Marthot-Santaniello, Elpida Perdiki, Dimitris Koutsianos, Aristidis Likas, Holger Essler:
Explaining the Chronological Attribution of Greek Papyri Images. 401-415 - Konstantina Liagkou, John Pavlopoulos, Ewa Machotka:
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. 416-430 - Eri Kuroda, Ichiro Kobayashi:
Predictive Inference Model of the Physical Environment that Emulates Predictive Coding. 431-445 - Domen Soberl, Ivan Bratko:
Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. 446-459 - Thiago Andrade, João Gama:
Which Way to Go - Finding Frequent Trajectories Through Clustering. 460-473
Graph Theory and Network Analysis
- Yiping Tang, Kohei Hatano, Eiji Takimoto:
Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks. 477-491 - Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni:
Interpretable Data Partitioning Through Tree-Based Clustering Methods. 492-507 - Chamalee Wickrama Arachchi, Nikolaj Tatti:
Jaccard-Constrained Dense Subgraph Discovery. 508-522 - Filip Kronström, Alexander H. Gower, Ievgeniia A. Tiukova, Ross D. King:
RIMBO - An Ontology for Model Revision Databases. 523-534 - Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut:
Unsupervised Graph Neural Networks for Source Code Similarity Detection. 535-549
Time Series and Forecasting
- Dennis Slepov, Arunas Kalinauskas, Hadi Fanaee-T:
A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios. 553-566 - Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin:
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. 567-581 - Yuta Sumiya, Ryusei Numata, Satoshi Takahashi:
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, Bruno Martins:
Exploring Label Correlations for Quantification of ICD Codes. 614-627 - Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Ievgeniia A. Tiukova, Ross D. King:
LGEM+: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction. 628-643 - Athos Moraes, Marta Moreno, Rogério Ribeiro, Pedro G. Ferreira:
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. 644-658
Anomaly, Outlier and Novelty Detection
- Rafael M. Mamede, Nuno Paiva, João Gama:
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. 661-672 - Paul Kiyambu Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor:
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. 673-687 - Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm:
Multi-kernel Times Series Outlier Detection. 688-702 - Jean-Gabriel Gaudreault, Paula Branco:
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. 703-717
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