List of Accepted papers

Full Papers

Annunziata D'Aversa, Stefano Polimena, Gianvito Pio and Michelangelo Ceci. Leveraging spatio-temporal autocorrelation phenomena to improve the forecasting of the energy consumption in smart grids

Ruidong Jin, Xin Liu and Murata Tsuyoshi. Predicting Potential Real-time Donations in YouTube Live Streaming Services via Continuous-time Dynamic Graph

Florian Seiffarth, Tamas Horvath and Stefan Wrobel. A Fast Heuristic for Computing Geodesic Closures in Large Networks

Chamalee Wickrama Arachchi and Nikolaj Tatti. Recurrent segmentation meets block models in temporal networks

Lucas Damasceno, Allison Shafer, Nathalie Japkowicz, Charles Cavalcante and Zois Boukouvalas. Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events

Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren and Panagiotis Papapetrou. JUICE: JUstIfied Counterfactual Explanations

Manuel Dileo, Cheick Tidiane Ba, Matteo Zignani and Sabrina Gaito. Link prediction with text in online social networks: the role of textual content on high-resolution temporal data

Francesco Bodria, Riccardo Guidotti, Fosca Giannotti and Dino Pedreschi. Interpretable Latent Space to Enable Counterfactual Explanations

Arjun Roy, Vasileios Iosifidis and Eirini Ntoutsi. Multi-fairness under class-imbalance

Francesco Gullo, Lucio La Cava, Domenico Mandaglio and Andrea Tagarelli. When Correlation Clustering Meets Fairness Constraints

Nuwan Gunasekara, Heitor Gomes, Bernhard Pfahringer and Albert Bifet. Adaptive Neural Networks for Online Domain Incremental Continual Learning

Blaž Škrlj, Boshko Koloski and Senja Pollak. Pareto limits of Unsupervised Keyphrase Detection

Farnaz Sadeghi and Herna Viktor. MQ-OFL: Multi-Sensitive Queue-based Online Fair Learning

Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander André Rio, Márton Bendegúz Bendicsek, Wouter Duivesteijn and Rianne Schouten. A Clustering-inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences

Andrea Fedele, Riccardo Guidotti and Dino Pedreschi. Explaining Siamese Networks in Few-Shot Learning for Audio Data

Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand and Jesse Davis. Semi-supervised change point detection using active learning

Valentina Arrigoni, Luisa Repele and Dario Marino Saccavino. TextMatcher: Cross-Attentional Neural Network to Compare Image and Text

Charles Moussa, Jan van Rijn, Thomas Baeck and Vedran Dunjko. Hyperparameter Importance of Quantum Neural Networks Across Small Datasets

Pieter Robberechts, Wannes Meert and Jesse Davis. Elastic Product Quantization for Time Series

Celia Wafa Ayad, Thomas Bonnier, Benjamin Bosch and Jesse Read. Shapley Chains: Extending Shapley values to Classifier Chains

Aníbal Silva, Rita P. Ribeiro and Nuno Moniz. Model Optimization in Imbalanced Regression

Hussein El Khansa, Carmen Gervet and Audrey Brouillet. On the ranking of variable length discords through a hybrid outlier detection approach

Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou and Uli Niemann. Data-Driven Prediction of Athletes' Performance based on their Social Media Presence

René Gómez Londoño, Sylvain Wlodarczyk, Molood Arman, Francesca Bugiotti and Nacéra Bennacer Seghouani. Weakly supervised Named Entity Recognition for Carbon Storage using Deep Neural Networks

Thi Hong Hanh Tran, Matej Martinc, Antoine Doucet and Senja Pollak. Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?

Rita Beigaitė, Michael Mechenich and Indrė Žliobaitė. Spatial cross-validation for globally distributed data

Iiro Kumpulainen and Nikolaj Tatti. Community detection in edge-labeled graphs

Short Papers

Michela Quadrini, Sebastian Daberdaku, Alessandro Blanda, Antonino Capuccio, Luca Bellanova and Gianluca Gerard Stress Detection from Wearable Sensor Data using Gramian Angular Fields and CNN

Gonzalo Rivera and Ricardo Ñanculef Multi-attribute Transformers for Sequence Prediction in Business Process Management 

Guilherme Dinis Junior, Sindri Magnússon and Jaakko Hollmén Policy Evaluation for Cumulative and Periodic Rewards

Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello and Antonio Bencini Farina Explaining Crash Predictions on Multivariate Time Series Data

Vladimir Kuzmanovski and Jaakko Hollmén Semi-parametric approach to random forests for high-dimensional Bayesian optimisation

Alexandre Dubray, Guillaume Derval, Siegfried Nijssen and Pierre Schaus Optimal Decoding of Hidden Markov Models With Consistency Constraints

Van Quoc Phuong Huynh, Florian Beck and Johannes Fürnkranz Incremental Update of Locally Optimal Classification Rules

Julius Gonsior, Maik Thiele and Wolfgang Lehner ImitAL: Training Active Learning by Imitation Learning on pure Synthetic Data

Parisa Shayan, Menno van Zaanen and Martin Atzmueller Predicting User Dropouts from their Online Learning Behavior

Houda Akremi, Mouhamed Gaith Ayadi and Sami Zghal A Fuzzy OWL Ontologies Embedding for Complex Ontology Alignments

Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina and Rosaria Spada Cooperative Deep Unsupervised Anomaly Detection

Boštjan Gec, Nina Omejc, Jure Brence, Sašo Džeroski and Ljupčo Todorovski Discovery of differential equations using probabilistic grammars

Link to the online free proceedings (26/01/2023 - 04/03/2023): https://link.springer.com/book/10.1007/978-3-031-18840-4