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18th IDA 2020: Konstanz, Germany
- Michael R. Berthold
, Ad Feelders
Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings. Lecture Notes in Computer Science 12080, Springer 2020, ISBN 978-3-030-44583-6 - Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou:
Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. 1-13 - Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé:
Dual Sequential Variational Autoencoders for Fraud Detection. 14-26 - Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks. 27-39 - Maroua Bahri, Bernhard Pfahringer, Albert Bifet
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. 40-53 - Francesco Bariatti
GraphMDL: Graph Pattern Selection Based on Minimum Description Length. 54-66 - Elena Battaglia, Livio Bioglio, Ruggero G. Pensa
Towards Content Sensitivity Analysis. 67-79 - Anes Bendimerad
Gibbs Sampling Subjectively Interesting Tiles. 80-92 - Christian Borgelt:
Even Faster Exact k-Means Clustering. 93-105 - Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-Based Consensus Clustering on Specialized Hardware. 106-118 - Antoine Cornuéjols
Transfer Learning by Learning Projections from Target to Source. 119-131 - Kevin Dalleau, Miguel Couceiro
Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs. 132-144 - Jeroen van Doorenmalen, Vlado Menkovski:
Evaluation of CNN Performance in Semantically Relevant Latent Spaces. 145-157 - Micky Faas, Matthijs van Leeuwen
Vouw: Geometric Pattern Mining Using the MDL Principle. 158-170 - Mickael Febrissy, Mohamed Nadif:
A Consensus Approach to Improve NMF Document Clustering. 171-183 - Laura Isabel Galindez Olascoaga, Wannes Meert
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. 184-196 - Clément Gautrais
Widening for MDL-Based Retail Signature Discovery. 197-209 - Shiva Zamani Gharaghooshi, Osmar R. Zaïane, Christine Largeron, Mohammadmahdi Zafarmand, Chang Liu:
Addressing the Resolution Limit and the Field of View Limit in Community Mining. 210-222 - Biraja Ghoshal, Cecilia Lindskog, Allan Tucker:
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. 223-234 - Jan Philip Göpfert, André Artelt
Adversarial Attacks Hidden in Plain Sight. 235-247 - Frank Höppner
Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code. 248-260 - Ian Jeantet, Zoltán Miklós, David Gross-Amblard:
Overlapping Hierarchical Clustering (OHC). 261-273 - Jisu Kim
Digital Footprints of International Migration on Twitter. 274-286 - Corentin Larroche, Johan Mazel, Stéphan Clémençon:
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks. 287-299 - Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi:
A Late-Fusion Approach to Community Detection in Attributed Networks. 300-312 - João Mendes-Moreira
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. 313-325 - Alexander Mey
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. 326-338 - Alexandre Millot, Romain Mathonat, Rémy Cazabet
Actionable Subgroup Discovery and Urban Farm Optimization. 339-351 - Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. 352-365 - Dimitar Ninevski
Detection of Derivative Discontinuities in Observational Data. 366-378 - Ana Rita Nogueira
Improving Prediction with Causal Probabilistic Variables. 379-390 - Toyah Overton
DO-U-Net for Segmentation and Counting - Applications to Satellite and Medical Images. 391-403 - Diana Ramírez-Cifuentes, Christine Largeron, Julien Tissier, Ana Freire, Ricardo Baeza-Yates:
Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media. 404-417 - Andrey V. Savchenko
Event Recognition Based on Classification of Generated Image Captions. 418-430 - Johannes Schneider:
Human-to-AI Coach: Improving Human Inputs to AI Systems. 431-443 - Mohammad Hossein Shaker, Eyke Hüllermeier:
Aleatoric and Epistemic Uncertainty with Random Forests. 444-456 - Wissam Siblini
Master Your Metrics with Calibration. 457-469 - Manni Singh, David J. Weston, Mark Levene:
Supervised Phrase-Boundary Embeddings. 470-482 - Youri Soons, Remco M. Dijkman
Predicting Remaining Useful Life with Similarity-Based Priors. 483-495 - Maximilian Stubbemann
Orometric Methods in Bounded Metric Data. 496-508 - Alexander Tong
Interpretable Neuron Structuring with Graph Spectral Regularization. 509-521 - Rémi Vaudaine, Rémy Cazabet
Comparing the Preservation of Network Properties by Graph Embeddings. 522-534 - Tom Julian Viering
Making Learners (More) Monotone. 535-547 - Laura von Rüden, Sebastian Mayer
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. 548-560 - Marcel Wever
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. 561-573 - Yani Xue
Angle-Based Crowding Degree Estimation for Many-Objective Optimization. 574-586
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