| 2021 | Elliptical Ordinal Embedding. | Assatou Diallo, Johannes Frnkranz |
| 2021 | Ranking Structured Objects with Graph Neural Networks. | Clemens Damke, Eyke Hllermeier |
| 2021 | GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. | Joo Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo Joo Cruz Correia |
| 2021 | Shapley-Value Data Valuation for Semi-supervised Learning. | Christie Courtnage, Evgueni N. Smirnov |
| 2021 | Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. | Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz |
| 2021 | Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. | Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba |
| 2021 | Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. | Bart Bussmann, Jannes Nys, Steven Latr |
| 2021 | Combining Predictions Under Uncertainty: The Case of Random Decision Trees. | Florian Busch, Moritz Kulessa, Eneldo Loza Menca, Hendrik Blockeel |
| 2021 | Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. | Valerio Bonsignori, Riccardo Guidotti, Anna Monreale |
| 2021 | Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. | Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. | Maroua Bahri, Albert Bifet |
| 2021 | Local Interpretable Classifier Explanations with Self-generated Semantic Features. | Fabrizio Angiulli, Fabio Fassetti, Simona Nistic |
| 2021 | A Network Intrusion Detection System for Concept Drifting Network Traffic Data. | Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba |
| 2021 | KATRec: Knowledge Aware aTtentive Sequential Recommendations. | Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula |
| 2020 | FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier. | Wenbin Zhang, Albert Bifet |
| 2020 | Missing Value Imputation with MERCS: A Faster Alternative to MissForest. | Elia Van Wolputte, Hendrik Blockeel |
| 2020 | Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. | Vedrana Vidulin, Saso Dzeroski |
| 2020 | Nets Versus Trees for Feature Ranking and Gene Network Inference. | Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vn Anh Huynh-Thu |
| 2020 | Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? | Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou |
| 2020 | Extreme Algorithm Selection with Dyadic Feature Representation. | Alexander Tornede, Marcel Wever, Eyke Hllermeier |
| 2020 | Semantic Annotation of Predictive Modelling Experiments. | Ilin Tolovski, Saso Dzeroski, Pance Panov |
| 2020 | Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method. | Leo Tisljaric, Sofia Fernandes, Tonci Caric, Joo Gama |
| 2020 | DeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain. | Maria Siopi, George Vlahavas, Kostas Karasavvas, Athena Vakali |
| 2020 | Multi-directional Rule Set Learning. | Jonas Schouterden, Jesse Davis, Hendrik Blockeel |
| 2020 | Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features. | Saulo Ruiz, Pedro Gomes, Lus Rodrigues, Joo Gama |