| 2024 | Automatically Detecting Political Viewpoints in Norwegian Text. | Tu My Doan, David Baumgartner, Benjamin Kille, Jon Atle Gulla |
| 2024 | λ-DBSCAN: Augmenting DBSCAN with Prior Knowledge. | Joel Dierkes, Daniel Stelter, Christian Braune |
| 2024 | Putting Sense into Incomplete Heterogeneous Data with Hypergraph Clustering Analysis. | Vishnu Manasa Devagiri, Pierre Dagnely, Veselka Boeva, Elena Tsiporkova |
| 2024 | Data Quality in NLP: Metrics and a Comprehensive Taxonomy. | Vu Minh Hoang Dang, Rakesh M. Verma |
| 2024 | GloNets: Globally Connected Neural Networks. | Antonio Di Cecco, Carlo Metta, Marco Fantozzi, Francesco Morandin, Maurizio Parton |
| 2024 | Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks. | Louis Carpentier, Arne De Temmerman, Mathias Verbeke |
| 2024 | Multi-armed Bandits with Generalized Temporally-Partitioned Rewards. | Ronald C. van den Broek, Rik Litjens, Tobias Sagis, Nina Verbeeke, Pratik Gajane |
| 2024 | Example-Based Explanations of Random Forest Predictions. | Henrik Bostrm |
| 2024 | SLIPMAP: Fast and Robust Manifold Visualisation for Explainable AI. | Anton Bjrklund, Lauri Sepplinen, Kai Puolamki |
| 2024 | Self-supervised Siamese Autoencoders. | Friederike Baier, Sebastian Mair, Samuel G. Fadel |
| 2024 | Backward Inference in Probabilistic Regressor Chains with Distributional Constraints. | Ekaterina Antonenko, Michael Mechenich, Rita Beigaite, Indre Zliobaite, Jesse Read |
| 2023 | On Compositionality in Data Embedding. | Zhaozhen Xu, Zhijin Guo, Nello Cristianini |
| 2023 | QBERT: Generalist Model for Processing Questions. | Zhaozhen Xu, Nello Cristianini |
| 2023 | A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. | Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou |
| 2023 | Forecasting Electricity Prices: An Optimize Then Predict-Based Approach. | Lonard Tschora, Erwan Pierre, Marc Plantevit, Cline Robardet |
| 2023 | Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations. | Loek Tonnaer, Mike Holenderski, Vlado Menkovski |
| 2023 | ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection. | Andreas Theissler, Manuel Wengert, Felix Gerschner |
| 2023 | Should We Consider On-Demand Analysis in Scale-Free Networks? | Arnaud Soulet |
| 2023 | Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. | David Schubert, Pritha Gupta, Marcel Wever |
| 2023 | Dropping Incomplete Records is (not so) Straightforward. | Rianne Margaretha Schouten, Victoria Tascau, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou |
| 2023 | Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study. | Mira Ait Saada, Mohamed Nadif |
| 2023 | The Other Side of Compression: Measuring Bias in Pruned Transformers. | Irina Proskurina, Guillaume Metzler, Julien Velcin |
| 2023 | Don't Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling. | Andraz Pelicon, Syrielle Montariol, Petra Kralj Novak |
| 2023 | Discovering Rule Lists with Preferred Variables. | Ioanna Papagianni, Matthijs van Leeuwen |
| 2023 | A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data. | Maedeh Nasri, Zhizhou Fang, Mitra Baratchi, Gwenn Englebienne, Shenghui Wang, Alexander Koutamanis, Carolien Rieffe |