| 2020 | Transfer Learning by Learning Projections from Target to Source. | Antoine Cornujols, Pierre-Alexandre Murena, Raphal Olivier |
| 2020 | Ising-Based Consensus Clustering on Specialized Hardware. | Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy |
| 2020 | Even Faster Exact k-Means Clustering. | Christian Borgelt |
| 2020 | Gibbs Sampling Subjectively Interesting Tiles. | Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Cline Robardet, Tijl De Bie |
| 2020 | Towards Content Sensitivity Analysis. | Elena Battaglia, Livio Bioglio, Ruggero G. Pensa |
| 2020 | GraphMDL: Graph Pattern Selection Based on Minimum Description Length. | Francesco Bariatti, Peggy Cellier, Sbastien Ferr |
| 2020 | Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. | Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu |
| 2020 | A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks. | Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello |
| 2020 | Dual Sequential Variational Autoencoders for Fraud Detection. | Ayman Alazizi, Amaury Habrard, Franois Jacquenet, Liyun He-Guelton, Frdric Obl |
| 2020 | Interpretable Neuron Structuring with Graph Spectral Regularization. | Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy |
| 2018 | Learned Feature Generation for Molecules. | Patrick Winter, Christian Borgelt, Michael R. Berthold |
| 2018 | Automatically Wrangling Spreadsheets into Machine Learning Data Formats. | Gust Verbruggen, Luc De Raedt |
| 2018 | Biased Embeddings from Wild Data: Measuring, Understanding and Removing. | Adam Sutton, Thomas Lansdall-Welfare, Nello Cristianini |
| 2018 | Detecting Shifts in Public Opinion: A Big Data Study of Global News Content. | Saatviga Sudhahar, Nello Cristianini |
| 2018 | Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML. | Benjamin Strang, Peter van der Putten, Jan N. van Rijn, Frank Hutter |
| 2018 | Exploring the Effects of Data Distribution in Missing Data Imputation. | Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hlder Arajo, Joo A. M. Santos |
| 2018 | Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics Application. | Christine Sinoquet, Kamel Mekhnacha |
| 2018 | Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm. | Zakaria Saoud, Colin Fontaine |
| 2018 | Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. | Oliver R. Sampson, Christian Borgelt, Michael R. Berthold |
| 2018 | Elements of an Automatic Data Scientist. | Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen |
| 2018 | Reduction Stumps for Multi-class Classification. | Felix Mohr, Marcel Wever, Eyke Hllermeier |
| 2018 | Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. | Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, lisa Fromont, Amaury Habrard, Marc Sebban |
| 2018 | Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. | Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, Joo A. M. Santos |
| 2018 | A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis. | Ville Laitinen, Leo Lahti |
| 2018 | Open Data Science. | Leo Lahti |