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Advances in Intelligent Data Analysis XVIII

18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings

  • Michael R. Berthold
  • Ad Feelders
  • Georg Krempl
Open Access
Conference proceedings IDA 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12080)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12080)

Table of contents

  1. Front Matter
    Pages i-xiv
    PDF
  2. Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder
    Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou
    Pages 1-13 Open Access
    PDF
  3. Dual Sequential Variational Autoencoders for Fraud Detection
    Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé
    Pages 14-26 Open Access
    PDF
  4. A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
    Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello
    Pages 27-39 Open Access
    PDF
  5. Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams
    Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu
    Pages 40-53 Open Access
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  6. GraphMDL: Graph Pattern Selection Based on Minimum Description Length
    Francesco Bariatti, Peggy Cellier, Sébastien Ferré
    Pages 54-66 Open Access
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  7. Towards Content Sensitivity Analysis
    Elena Battaglia, Livio Bioglio, Ruggero G. Pensa
    Pages 67-79 Open Access
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  8. Gibbs Sampling Subjectively Interesting Tiles
    Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
    Pages 80-92 Open Access
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  9. Even Faster Exact k-Means Clustering
    Christian Borgelt
    Pages 93-105 Open Access
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  10. Ising-Based Consensus Clustering on Specialized Hardware
    Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy
    Pages 106-118 Open Access
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  11. Transfer Learning by Learning Projections from Target to Source
    Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier
    Pages 119-131 Open Access
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  12. Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs
    Kevin Dalleau, Miguel Couceiro, Malika Smail-Tabbone
    Pages 132-144 Open Access
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  13. Evaluation of CNN Performance in Semantically Relevant Latent Spaces
    Jeroen van Doorenmalen, Vlado Menkovski
    Pages 145-157 Open Access
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  14. Vouw: Geometric Pattern Mining Using the MDL Principle
    Micky Faas, Matthijs van Leeuwen
    Pages 158-170 Open Access
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  15. A Consensus Approach to Improve NMF Document Clustering
    Mickael Febrissy, Mohamed Nadif
    Pages 171-183 Open Access
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  16. Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams
    Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
    Pages 184-196 Open Access
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  17. Widening for MDL-Based Retail Signature Discovery
    Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier
    Pages 197-209 Open Access
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  18. Addressing the Resolution Limit and the Field of View Limit in Community Mining
    Shiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu
    Pages 210-222 Open Access
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  19. Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics
    Biraja Ghoshal, Cecilia Lindskog, Allan Tucker
    Pages 223-234 Open Access
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  20. Adversarial Attacks Hidden in Plain Sight
    Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
    Pages 235-247 Open Access
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  21. Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code
    Frank Höppner, Maximilian Jahnke
    Pages 248-260 Open Access
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  22. Overlapping Hierarchical Clustering (OHC)
    Ian Jeantet, Zoltán Miklós, David Gross-Amblard
    Pages 261-273 Open Access
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  23. Digital Footprints of International Migration on Twitter
    Jisu Kim, Alina Sîrbu, Fosca Giannotti, Lorenzo Gabrielli
    Pages 274-286 Open Access
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  24. Percolation-Based Detection of Anomalous Subgraphs in Complex Networks
    Corentin Larroche, Johan Mazel, Stephan Clémençon
    Pages 287-299 Open Access
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  25. A Late-Fusion Approach to Community Detection in Attributed Networks
    Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi
    Pages 300-312 Open Access
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  26. Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction
    João Mendes-Moreira, Mitra Baratchi
    Pages 313-325 Open Access
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  27. A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization
    Alexander Mey, Tom Julian Viering, Marco Loog
    Pages 326-338 Open Access
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  28. Actionable Subgroup Discovery and Urban Farm Optimization
    Alexandre Millot, Romain Mathonat, Rémy Cazabet, Jean-François Boulicaut
    Pages 339-351 Open Access
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  29. AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model
    Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys
    Pages 352-365 Open Access
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  30. Detection of Derivative Discontinuities in Observational Data
    Dimitar Ninevski, Paul O’Leary
    Pages 366-378 Open Access
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  31. Improving Prediction with Causal Probabilistic Variables
    Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira
    Pages 379-390 Open Access
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  32. DO-U-Net for Segmentation and Counting
    Toyah Overton, Allan Tucker
    Pages 391-403 Open Access
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  33. Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
    Diana Ramírez-Cifuentes, Christine Largeron, Julien Tissier, Ana Freire, Ricardo Baeza-Yates
    Pages 404-417 Open Access
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  34. Event Recognition Based on Classification of Generated Image Captions
    Andrey V. Savchenko, Evgeniy V. Miasnikov
    Pages 418-430 Open Access
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  35. Human-to-AI Coach: Improving Human Inputs to AI Systems
    Johannes Schneider
    Pages 431-443 Open Access
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  36. Aleatoric and Epistemic Uncertainty with Random Forests
    Mohammad Hossein Shaker, Eyke Hüllermeier
    Pages 444-456 Open Access
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  37. Master Your Metrics with Calibration
    Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang
    Pages 457-469 Open Access
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  38. Supervised Phrase-Boundary Embeddings
    Manni Singh, David Weston, Mark Levene
    Pages 470-482 Open Access
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  39. Predicting Remaining Useful Life with Similarity-Based Priors
    Youri Soons, Remco Dijkman, Maurice Jilderda, Wouter Duivesteijn
    Pages 483-495 Open Access
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  40. Orometric Methods in Bounded Metric Data
    Maximilian Stubbemann, Tom Hanika, Gerd Stumme
    Pages 496-508 Open Access
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  41. Interpretable Neuron Structuring with Graph Spectral Regularization
    Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle et al.
    Pages 509-521 Open Access
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  42. Comparing the Preservation of Network Properties by Graph Embeddings
    Rémi Vaudaine, Rémy Cazabet, Christine Largeron
    Pages 522-534 Open Access
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  43. Making Learners (More) Monotone
    Tom Julian Viering, Alexander Mey, Marco Loog
    Pages 535-547 Open Access
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  44. Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions
    Laura von Rueden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke
    Pages 548-560 Open Access
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  45. LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
    Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
    Pages 561-573 Open Access
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  46. Angle-Based Crowding Degree Estimation for Many-Objective Optimization
    Yani Xue, Miqing Li, Xiaohui Liu
    Pages 574-586 Open Access
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  47. Back Matter
    Pages 587-588
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About these proceedings

Introduction

This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.
The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.

Keywords

open access data mining learning systems classification clustering semantics learning algorithms supervised learning association rules social networks graphic methods neural networks artificial intelligence computer vision correlation analysis databases education engineering graph theory image analysis

Editors and affiliations

  1. 1.University of KonstanzKonstanzGermany
  2. 2.Utrecht UniversityUtrechtThe Netherlands
  3. 3.Utrecht UniversityUtrechtThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-44584-3
  • Copyright Information The Editor(s) (if applicable) and The Author(s) 2020
  • License CC BY
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-030-44583-6
  • Online ISBN 978-3-030-44584-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site