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Publication search results
found 46 matches
- 2020
- 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. IDA 2020: 509-521 - Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé:
Dual Sequential Variational Autoencoders for Fraud Detection. IDA 2020: 14-26 - Asma Atamna
, Nataliya Sokolovska, Jean-Claude Crivello
:
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks. IDA 2020: 27-39 - Maroua Bahri, Bernhard Pfahringer, Albert Bifet
, Silviu Maniu
:
Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams. IDA 2020: 40-53 - Francesco Bariatti
, Peggy Cellier, Sébastien Ferré:
GraphMDL: Graph Pattern Selection Based on Minimum Description Length. IDA 2020: 54-66 - Elena Battaglia, Livio Bioglio, Ruggero G. Pensa
:
Towards Content Sensitivity Analysis. IDA 2020: 67-79 - Anes Bendimerad
, Jefrey Lijffijt
, Marc Plantevit
, Céline Robardet, Tijl De Bie:
Gibbs Sampling Subjectively Interesting Tiles. IDA 2020: 80-92 - Christian Borgelt:
Even Faster Exact k-Means Clustering. IDA 2020: 93-105 - Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy:
Ising-Based Consensus Clustering on Specialized Hardware. IDA 2020: 106-118 - Antoine Cornuéjols
, Pierre-Alexandre Murena
, Raphaël Olivier:
Transfer Learning by Learning Projections from Target to Source. IDA 2020: 119-131 - Kevin Dalleau, Miguel Couceiro
, Malika Smaïl-Tabbone
:
Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs. IDA 2020: 132-144 - Jeroen van Doorenmalen, Vlado Menkovski:
Evaluation of CNN Performance in Semantically Relevant Latent Spaces. IDA 2020: 145-157 - Micky Faas, Matthijs van Leeuwen
:
Vouw: Geometric Pattern Mining Using the MDL Principle. IDA 2020: 158-170 - Mickael Febrissy, Mohamed Nadif:
A Consensus Approach to Improve NMF Document Clustering. IDA 2020: 171-183 - Clément Gautrais
, Peggy Cellier, Matthijs van Leeuwen
, Alexandre Termier:
Widening for MDL-Based Retail Signature Discovery. IDA 2020: 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. IDA 2020: 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. IDA 2020: 223-234 - Jan Philip Göpfert, André Artelt
, Heiko Wersing, Barbara Hammer:
Adversarial Attacks Hidden in Plain Sight. IDA 2020: 235-247 - Frank Höppner
, Maximilian Jahnke:
Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code. IDA 2020: 248-260 - Ian Jeantet, Zoltán Miklós, David Gross-Amblard:
Overlapping Hierarchical Clustering (OHC). IDA 2020: 261-273 - Jisu Kim
, Alina Sîrbu
, Fosca Giannotti
, Lorenzo Gabrielli:
Digital Footprints of International Migration on Twitter. IDA 2020: 274-286 - Corentin Larroche, Johan Mazel, Stéphan Clémençon:
Percolation-Based Detection of Anomalous Subgraphs in Complex Networks. IDA 2020: 287-299 - Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi:
A Late-Fusion Approach to Community Detection in Attributed Networks. IDA 2020: 300-312 - João Mendes-Moreira
, Mitra Baratchi
:
Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction. IDA 2020: 313-325 - Alexander Mey
, Tom Julian Viering
, Marco Loog
:
A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization. IDA 2020: 326-338 - Alexandre Millot, Romain Mathonat, Rémy Cazabet
, Jean-François Boulicaut:
Actionable Subgroup Discovery and Urban Farm Optimization. IDA 2020: 339-351 - Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller
, Bogdan Gabrys
:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA 2020: 352-365 - Dimitar Ninevski
, Paul O'Leary
:
Detection of Derivative Discontinuities in Observational Data. IDA 2020: 366-378 - Ana Rita Nogueira
, João Gama, Carlos Abreu Ferreira
:
Improving Prediction with Causal Probabilistic Variables. IDA 2020: 379-390 - Laura Isabel Galindez Olascoaga, Wannes Meert
, Nimish Shah
, Guy Van den Broeck, Marian Verhelst
:
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA 2020: 184-196
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