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ORCID18th IDA 2020: Konstanz, Germany
- Michael R. Berthold
, Ad Feelders, Georg Krempl:
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, Silviu Maniu:
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. 40-53 - Francesco Bariatti, Peggy Cellier, Sébastien Ferré:
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, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie:
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, Pierre-Alexandre Murena, Raphaël Olivier:
Transfer Learning by Learning Projections from Target to Source. 119-131 - Kevin Dalleau, Miguel Couceiro, Malika Smaïl-Tabbone:
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, Nimish Shah, Guy Van den Broeck, Marian Verhelst:
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. 184-196 - Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier:
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, Heiko Wersing, Barbara Hammer:
Adversarial Attacks Hidden in Plain Sight. 235-247 - Frank Höppner, Maximilian Jahnke:
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, Alina Sîrbu, Fosca Giannotti, Lorenzo Gabrielli:
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, Mitra Baratchi:
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. 313-325 - Alexander Mey, Tom Julian Viering, Marco Loog:
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. 326-338 - Alexandre Millot, Romain Mathonat, Rémy Cazabet, Jean-François Boulicaut:
Actionable Subgroup Discovery and Urban Farm Optimization. 339-351 - Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. 352-365 - Dimitar Ninevski, Paul O'Leary:
Detection of Derivative Discontinuities in Observational Data. 366-378 - Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira:
Improving Prediction with Causal Probabilistic Variables. 379-390 - Toyah Overton, Allan Tucker:
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, Evgeniy V. Miasnikov:
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, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
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, Maurice Jilderda, Wouter Duivesteijn:
Predicting Remaining Useful Life with Similarity-Based Priors. 483-495 - Maximilian Stubbemann, Tom Hanika, Gerd Stumme:
Orometric Methods in Bounded Metric Data. 496-508 - Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle, James Noonan, Guy Wolf, Smita Krishnaswamy:
Interpretable Neuron Structuring with Graph Spectral Regularization. 509-521 - Rémi Vaudaine, Rémy Cazabet, Christine Largeron:
Comparing the Preservation of Network Properties by Graph Embeddings. 522-534 - Tom Julian Viering, Alexander Mey, Marco Loog:
Making Learners (More) Monotone. 535-547 - Laura von Rüden, Sebastian Mayer, Rafet Sifa, Christian Bauckhage, Jochen Garcke:
Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. 548-560 - Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier:
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. 561-573 - Yani Xue, Miqing Li, Xiaohui Liu:
Angle-Based Crowding Degree Estimation for Many-Objective Optimization. 574-586
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