Table of Contents

• Multivariate Time Series as Images: Imputation Using Convolutional Denoising AutoencoderAbdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou. 1-13 [doi]
• Dual Sequential Variational Autoencoders for Fraud DetectionAyman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé. 14-26 [doi]
• A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural NetworksAsma Atamna, Nataliya Sokolovska, Jean-Claude Crivello. 27-39 [doi]
• Efficient Batch-Incremental Classification Using UMAP for Evolving Data StreamsMaroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu. 40-53 [doi]
• GraphMDL: Graph Pattern Selection Based on Minimum Description LengthFrancesco Bariatti, Peggy Cellier, Sébastien Ferré. 54-66 [doi]
• Towards Content Sensitivity AnalysisElena Battaglia, Livio Bioglio, Ruggero G. Pensa. 67-79 [doi]
• Gibbs Sampling Subjectively Interesting TilesAnes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie. 80-92 [doi]
• Even Faster Exact k-Means ClusteringChristian Borgelt. 93-105 [doi]
• Ising-Based Consensus Clustering on Specialized HardwareEldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy 0003. 106-118 [doi]
• Transfer Learning by Learning Projections from Target to SourceAntoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier. 119-131 [doi]
• Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in GraphsKevin Dalleau, Miguel Couceiro, Malika Smaïl-Tabbone. 132-144 [doi]
• Evaluation of CNN Performance in Semantically Relevant Latent SpacesJeroen van Doorenmalen, Vlado Menkovski. 145-157 [doi]
• Vouw: Geometric Pattern Mining Using the MDL PrincipleMicky Faas, Matthijs van Leeuwen. 158-170 [doi]
• A Consensus Approach to Improve NMF Document ClusteringMickael Febrissy, Mohamed Nadif. 171-183 [doi]
• Discriminative Bias for Learning Probabilistic Sentential Decision DiagramsLaura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst. 184-196 [doi]
• Widening for MDL-Based Retail Signature DiscoveryClément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier. 197-209 [doi]
• Addressing the Resolution Limit and the Field of View Limit in Community MiningShiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu. 210-222 [doi]
• Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on ProteomicsBiraja Ghoshal, Cecilia Lindskog, Allan Tucker. 223-234 [doi]
• Adversarial Attacks Hidden in Plain SightJan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer. 235-247 [doi]
• Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source CodeFrank Höppner, Maximilian Jahnke. 248-260 [doi]
• Overlapping Hierarchical Clustering (OHC)Ian Jeantet, Zoltán Miklós 0001, David Gross-Amblard. 261-273 [doi]
• Digital Footprints of International Migration on TwitterJisu Kim, Alina Sîrbu, Fosca Giannotti, Lorenzo Gabrielli. 274-286 [doi]
• Percolation-Based Detection of Anomalous Subgraphs in Complex NetworksCorentin Larroche, Johan Mazel, Stéphan Clémençon. 287-299 [doi]
• A Late-Fusion Approach to Community Detection in Attributed NetworksChang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi. 300-312 [doi]
• Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time PredictionJoão Mendes-Moreira, Mitra Baratchi. 313-325 [doi]
• A Distribution Dependent and Independent Complexity Analysis of Manifold RegularizationAlexander Mey, Tom Julian Viering, Marco Loog. 326-338 [doi]
• Actionable Subgroup Discovery and Urban Farm OptimizationAlexandre Millot, Romain Mathonat, Rémy Cazabet, Jean-François Boulicaut. 339-351 [doi]
• AVATAR - Machine Learning Pipeline Evaluation Using Surrogate ModelTien Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys. 352-365 [doi]
• Detection of Derivative Discontinuities in Observational DataDimitar Ninevski, Paul O'Leary. 366-378 [doi]
• Improving Prediction with Causal Probabilistic VariablesAna Rita Nogueira, João Gama, Carlos Abreu Ferreira. 379-390 [doi]
• DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical ImagesToyah Overton, Allan Tucker. 391-403 [doi]
• Enhanced Word Embeddings for Anorexia Nervosa Detection on Social MediaDiana Ramírez-Cifuentes, Christine Largeron, Julien Tissier, Ana Freire, Ricardo Baeza-Yates. 404-417 [doi]
• Event Recognition Based on Classification of Generated Image CaptionsAndrey V. Savchenko, Evgeniy V. Miasnikov. 418-430 [doi]
• Human-to-AI Coach: Improving Human Inputs to AI SystemsJohannes Schneider. 431-443 [doi]
• Aleatoric and Epistemic Uncertainty with Random ForestsMohammad Hossein Shaker, Eyke Hüllermeier. 444-456 [doi]
• Master Your Metrics with CalibrationWissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang. 457-469 [doi]
• Supervised Phrase-Boundary EmbeddingsManni Singh, David J. Weston, Mark Levene. 470-482 [doi]
• Predicting Remaining Useful Life with Similarity-Based PriorsYouri Soons, Remco M. Dijkman, Maurice Jilderda, Wouter Duivesteijn. 483-495 [doi]
• Orometric Methods in Bounded Metric DataMaximilian Stubbemann, Tom Hanika, Gerd Stumme. 496-508 [doi]
• Interpretable Neuron Structuring with Graph Spectral RegularizationAlexander Tong 0001, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy. 509-521 [doi]
• Comparing the Preservation of Network Properties by Graph EmbeddingsRémi Vaudaine, Rémy Cazabet, Christine Largeron. 522-534 [doi]
• Making Learners (More) MonotoneTom Julian Viering, Alexander Mey, Marco Loog. 535-547 [doi]
• Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future DirectionsLaura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke. 548-560 [doi]
• LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label ClassificationMarcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier. 561-573 [doi]
• Angle-Based Crowding Degree Estimation for Many-Objective OptimizationYani Xue, Miqing Li, Xiaohui Liu. 574-586 [doi]