Abstract is missing.
- Elements of an Automatic Data ScientistLuc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen. 3-14 [doi]
- The Need for Interpretability BiasesJohannes Fürnkranz, Tomás Kliegr. 15-27 [doi]
- Open Data ScienceLeo Lahti. 31-39 [doi]
- Automatic POI Matching Using an Outlier Detection Based ApproachAlexandre Almeida, Ana Alves, Rui Gomes. 40-51 [doi]
- Fact Checking from Natural Text with Probabilistic Soft LogicNouf Bindris, Saatviga Sudhahar, Nello Cristianini. 52-61 [doi]
- ConvoMap: Using Convolution to Order Boolean DataThomas Bollen, Guillaume Leurquin, Siegfried Nijssen. 62-74 [doi]
- Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokersChristoph Doell, Sarah E. Donohue, Cedrik Pätz, Christian Borgelt. 75-86 [doi]
- Missing Data Imputation via Denoising Autoencoders: The Untold StoryAdriana Fonseca Costa, Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu. 87-98 [doi]
- Online Non-linear Gradient Boosting in Multi-latent SpacesJordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton. 99-110 [doi]
- MDP-based Itinerary Recommendation using Geo-Tagged Social MediaRadhika Gaonkar, Maryam Tavakol, Ulf Brefeld. 111-123 [doi]
- Multiview Learning of Weighted Majority Vote by Bregman Divergence MinimizationAnil Goyal, Emilie Morvant, Massih-Reza Amini. 124-136 [doi]
- Non-negative Local Sparse Coding for Subspace ClusteringBabak Hosseini, Barbara Hammer. 137-150 [doi]
- Pushing the Envelope in Overlapping Communities DetectionSaïd Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais. 151-163 [doi]
- Right for the Right Reason: Training Agnostic NetworksSen Jia, Thomas Lansdall-Welfare, Nello Cristianini. 164-174 [doi]
- Link Prediction in Multi-layer Networks and Its Application to Drug DesignMaksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux. 175-187 [doi]
- A Hierarchical Ornstein-Uhlenbeck Model for Stochastic Time Series AnalysisVille Laitinen, Leo Lahti. 188-199 [doi]
- Analysing the Footprint of Classifiers in Overlapped and Imbalanced ContextsMarta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João Santos. 200-212 [doi]
- Tree-Based Cost Sensitive Methods for Fraud Detection in Imbalanced DataGuillaume Metzler, Xavier Badiche, Brahim Belkasmi, Élisa Fromont, Amaury Habrard, Marc Sebban. 213-224 [doi]
- Reduction Stumps for Multi-class ClassificationFelix Mohr, Marcel Wever, Eyke Hüllermeier. 225-237 [doi]
- Decomposition of Quantitative Gaifman Graphs as a Data Analysis ToolJosé Luis Balcázar, Marie Ely Piceno, Laura Rodríguez-Navas. 238-250 [doi]
- Exploring the Effects of Data Distribution in Missing Data ImputationJastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João Santos. 251-263 [doi]
- Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler VectorsOliver R. Sampson, Christian Borgelt, Michael R. Berthold. 264-277 [doi]
- Expert Finding in Citizen Science Platform for Biodiversity Monitoring via Weighted PageRank AlgorithmZakaria Saoud, Colin Fontaine. 278-289 [doi]
- Random Forests with Latent Variables to Foster Feature Selection in the Context of Highly Correlated Variables. Illustration with a Bioinformatics ApplicationChristine Sinoquet, Kamel Mekhnacha. 290-302 [doi]
- Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenMLBenjamin Strang, Peter van der Putten, Jan N. van Rijn, Frank Hutter. 303-315 [doi]
- Detecting Shifts in Public Opinion: A Big Data Study of Global News ContentSaatviga Sudhahar, Nello Cristianini. 316-327 [doi]
- Biased Embeddings from Wild Data: Measuring, Understanding and RemovingAdam Sutton, Thomas Lansdall-Welfare, Nello Cristianini. 328-339 [doi]
- Real-Time Excavation Detection at Construction Sites using Deep LearningBas van Boven, Peter van der Putten, Anders Åström, Hakim Khalafi, Aske Plaat. 340-352 [doi]
- COBRAS: Interactive Clustering with Pairwise QueriesToon van Craenendonck, Sebastijan Dumancic, Elia Van Wolputte, Hendrik Blockeel. 353-366 [doi]
- Automatically Wrangling Spreadsheets into Machine Learning Data FormatsGust Verbruggen, Luc De Raedt. 367-379 [doi]
- Learned Feature Generation for MoleculesPatrick Winter, Christian Borgelt, Michael R. Berthold. 380-391 [doi]