| 2020 | Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction. | Nolie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabati |
| 2020 | Unsupervised Concept Drift Detection Using a Student-Teacher Approach. | Vtor Cerqueira, Heitor Murilo Gomes, Albert Bifet |
| 2020 | Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks. | Giovanna Castellano, Gennaro Vessio |
| 2020 | Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction. | Gabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer |
| 2020 | Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. | Emma Briggs, Jaakko Hollmn |
| 2020 | Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. | Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski |
| 2020 | Investigating Parallelization of MAML. | Jan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott |
| 2020 | Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. | Simon Bohlender, Eneldo Loza Menca, Moritz Kulessa |
| 2020 | Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. | Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina |
| 2019 | Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption. | Julian Vexler, Stefan Kramer |
| 2019 | Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. | Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski |
| 2019 | Symbolic Graph Embedding Using Frequent Pattern Mining. | Blaz Skrlj, Nada Lavrac, Jan Kralj |
| 2019 | Hyperparameter Importance for Image Classification by Residual Neural Networks. | Abhinav Sharma, Jan N. van Rijn, Frank Hutter, Andreas Mller |
| 2019 | Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder. | Natasa Sarafijanovic-Djukic, Jesse Davis |
| 2019 | Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. | Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2019 | Variance-Based Feature Importance in Neural Networks. | Cludio Rebelo de S |
| 2019 | KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. | Adriano Rivolli, Catarina Amaral, Lus Guardo, Cludio Rebelo de S, Carlos Soares |
| 2019 | On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. | Michael Rapp, Eneldo Loza Menca, Johannes Frnkranz |
| 2019 | Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification. | Pavlin G. Policar, Martin Strazar, Blaz Zupan |
| 2019 | Mining Patterns in Source Code Using Tree Mining Algorithms. | Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev |
| 2019 | Ensemble-Based Feature Ranking for Semi-supervised Classification. | Matej Petkovic, Saso Dzeroski, Dragi Kocev |
| 2019 | Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. | Aljaz Osojnik, Pance Panov, Saso Dzeroski |
| 2019 | Epistemic Uncertainty Sampling. | Vu-Linh Nguyen, Sbastien Destercke, Eyke Hllermeier |
| 2019 | A Sampling-Based Approach for Discovering Subspace Clusters. | Sandy Moens, Boris Cule, Bart Goethals |
| 2019 | A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks. | Domenico Mandaglio, Andrea Tagarelli |