| 2018 | A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series Analysis. Ville Laitinen, Leo Lahti |
| 2018 | Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings Wouter Duivesteijn, Arno Siebes, Antti Ukkonen |
| 2018 | Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos |
| 2018 | Automatic POI Matching Using an Outlier Detection Based Approach. Alexandre Almeida, Ana Alves, Rui Gomes |
| 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 | COBRAS: Interactive Clustering with Pairwise Queries. Toon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel |
| 2018 | Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors. Oliver R. Sampson, Christian Borgelt, Michael R. Berthold |
| 2018 | ConvoMap: Using Convolution to Order Boolean Data. Thomas Bollen, Guillaume Leurquin, Siegfried Nijssen |
| 2018 | Decomposition of Quantitative Gaifman Graphs as a Data Analysis Tool. José Luis Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas |
| 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 | Elements of an Automatic Data Scientist. Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen |
| 2018 | Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank Algorithm. Zakaria Saoud, Colin Fontaine |
| 2018 | Exploring the Effects of Data Distribution in Missing Data Imputation. Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos |
| 2018 | Fact Checking from Natural Text with Probabilistic Soft Logic. Nouf Bindris, Saatviga Sudhahar, Nello Cristianini |
| 2018 | Learned Feature Generation for Molecules. Patrick Winter, Christian Borgelt, Michael R. Berthold |
| 2018 | Link Prediction in Multi-layer Networks and Its Application to Drug Design. Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux |
| 2018 | MDP-based Itinerary Recommendation using Geo-Tagged Social Media. Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld |
| 2018 | Missing Data Imputation via Denoising Autoencoders: The Untold Story. Adriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu |
| 2018 | Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization. Anil Goyal, Emilie Morvant, Massih-Reza Amini |
| 2018 | Non-negative Local Sparse Coding for Subspace Clustering. Babak Hosseini, Barbara Hammer |
| 2018 | Online Non-linear Gradient Boosting in Multi-latent Spaces. Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton |
| 2018 | Open Data Science. Leo Lahti |
| 2018 | Pushing the Envelope in Overlapping Communities Detection. Saïd Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais |
| 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 | Real-Time Excavation Detection at Construction Sites using Deep Learning. Bas van Boven, Peter van der Putten, Anders Åström, Hakim Khalafi, Aske Plaat |
| 2018 | Reduction Stumps for Multi-class Classification. Felix Mohr, Marcel Wever, Eyke Hüllermeier |
| 2018 | Right for the Right Reason: Training Agnostic Networks. Sen Jia, Thomas Lansdall-Welfare, Nello Cristianini |
| 2018 | The Need for Interpretability Biases. Johannes Fürnkranz, Tomás Kliegr |
| 2018 | Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. Christoph Doell, Sarah E. Donohue, Cedrik Pätz, Christian Borgelt |
| 2018 | Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced Data. Guillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban |