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25th DS 2022: Montpellier, France
- Pascal Poncelet
, Dino Ienco
Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13601, Springer 2022, ISBN 978-3-031-18839-8
Regression and Limited Data
- Anibal Silva, Rita P. Ribeiro
Model Optimization in Imbalanced Regression. 3-21 - Bostjan Gec
Discovery of Differential Equations Using Probabilistic Grammars. 22-31 - Charles Moussa
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. 32-46 - Julius Gonsior
ImitAL: Learned Active Learning Strategy on Synthetic Data. 47-56
Incremental/Continual Learning
- Ruidong Jin, Xin Liu, Tsuyoshi Murata:
Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph. 59-73 - Arne De Brabandere, Zhenxiang Cao, Maarten De Vos
Semi-supervised Change Point Detection Using Active Learning. 74-88 - Nuwan Gunasekara
Adaptive Neural Networks for Online Domain Incremental Continual Learning. 89-103 - Phuong Huynh Van Quoc, Florian Beck, Johannes Fürnkranz:
Incremental Update of Locally Optimal Classification Rules. 104-113 - Guilherme Dinis Junior
Policy Evaluation with Delayed, Aggregated Anonymous Feedback. 114-123
Spatial and Temporal Analysis
- Rita Beigaite
Spatial Cross-Validation for Globally Distributed Data. 127-140 - Annunziata D'Aversa
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. 141-156 - Pieter Robberechts
Elastic Product Quantization for Time Series. 157-172 - Michela Quadrini
Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN. 173-183 - Gonzalo Rivera Lazo
Multi-attribute Transformers for Sequence Prediction in Business Process Management. 184-194
Social Media Analysis
- Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou, Uli Niemann
Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence. 197-211 - Manuel Dileo
Link Prediction with Text in Online Social Networks: The Role of Textual Content on High-Resolution Temporal Data. 212-226 - René Gómez Londoño, Sylvain Wlodarczyk
Weakly Supervised Named Entity Recognition for Carbon Storage Using Deep Neural Networks. 227-242 - Parisa Shayan
Predicting User Dropout from Their Online Learning Behavior. 243-252 - Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz
Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events. 253-268
Fairness and Outlier Detection
- Farnaz Sadeghi, Herna L. Viktor:
MQ-OFL: Multi-sensitive Queue-based Online Fair Learning. 271-285 - Arjun Roy
Multi-fairness Under Class-Imbalance. 286-301 - Francesco Gullo, Lucio La Cava
When Correlation Clustering Meets Fairness Constraints. 302-317 - Fabrizio Angiulli
Cooperative Deep Unsupervised Anomaly Detection. 318-328 - Hussein El Khansa
On the Ranking of Variable Length Discords Through a Hybrid Outlier Detection Approach. 329-344
Text, Ontologies and Cross-Modal Learning
- Valentina Arrigoni, Luisa Repele, Dario Marino Saccavino:
TextMatcher: Cross-Attentional Neural Network to Compare Image and Text. 347-362 - Tran Thi Hong Hanh
Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer? 363-378 - Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction. 379-393 - Houda Akremi, Mouhamed Gaith Ayadi, Sami Zghal:
A Fuzzy OWL Ontologies Embedding for Complex Ontology Alignments. 394-404
Optimization and Network Analysis
- Alexandre Dubray
Optimal Decoding of Hidden Markov Models with Consistency Constraints. 407-417 - Vladimir Kuzmanovski
Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. 418-428 - Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander André Rio, Márton Bendegúz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten:
A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences. 429-444 - Chamalee Wickrama Arachchi
Recurrent Segmentation Meets Block Models in Temporal Networks. 445-459 - Iiro Kumpulainen
Community Detection in Edge-Labeled Graphs. 460-475 - Florian Seiffarth
A Fast Heuristic for Computing Geodesic Closures in Large Networks. 476-490
Explainability and Interpretability
- Alejandro Kuratomi, Ioanna Miliou
JUICE: JUstIfied Counterfactual Explanations. 493-508 - Andrea Fedele
Explaining Siamese Networks in Few-Shot Learning for Audio Data. 509-524 - Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi:
Interpretable Latent Space to Enable Counterfactual Explanations. 525-540 - Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read:
Shapley Chains: Extending Shapley Values to Classifier Chains. 541-555 - Francesco Spinnato
Explaining Crash Predictions on Multivariate Time Series Data. 556-566
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