Monday 27th April
All papers and their presentations (short videos) are available online. The links can be found in the list of accepted papers below.
Tuesday 28th April
The conference is over. It took place on Discord (see conference setup).
Opening words: 15:00 CEST (plenary hall)
Interactive sessions: 15:15 – 16:55 CEST
Session A: 15:15 – 15:45 (articles channels)
Session B: 15:50 – 16:20 (articles channels)
Session C: 16:25 – 16:55 (articles channels)
Closing words: 17:00 CEST (plenary hall)
Accepted Papers
Conference proceedings: https://www.springer.com/978-3-030-44583-6
List of all videos: http://videolectures.net/IDA2020/
ID | Title | Authors | Category | Video | Session | |
---|---|---|---|---|---|---|
92 | A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization | Alexander Mey, Tom Julian Viering, Marco Loog | Learning theory | Video | B | |
25 | Detection of Derivative Discontinuities in Observational Data | Dimitar Ninevski, Paul O’Leary | Learning theory | Video | C | |
90 | Making Learners (More) Monotone | Tom Julian Viering, Alexander Mey, Marco Loog | Learning theory | Video | A | |
28 | A Late-Fusion Approach to Community Detection in Attributed Networks | Chang Liu, Christine Largeron, Osmar R. Zaïane, Shiva Zamani Gharaghooshi | Graphs and networks | Video | A | |
62 | A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks | Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello | Graphs and networks | Video | B | |
20 | 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 | Graphs and networks | Video | C | |
31 | Comparing the Preservation of Network Properties by Graph Embeddings | Rémi Vaudaine, Rémy Cazabet, Christine Largeron | Graphs and networks | Video | A | |
23 | Interpretable Neuron Structuring with Graph Spectral Regularization | Alexander Tong, David van Dijk, Jay S. Stanley III, Matthew Amodio, Kristina Yim, Rebecca Muhle et al. | Graphs and networks | Video | B | |
27 | Orometric Methods in Bounded Metric Data | Maximilian Stubbemann, Tom Hanika, Gerd Stumme | Graphs and networks | Video | C | |
10 | Percolation-Based Detection of Anomalous Subgraphs in Complex Networks | Corentin Larroche, Johan Mazel, Stephan Clémençon | Graphs and networks | Video | A | |
63 | DO-U-Net for Segmentation and Counting | Toyah Overton, Allan Tucker | Deep learning | Video | B | |
54 | Dual Sequential Variational Autoencoders for Fraud Detection | Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé | Deep learning | Video | C | |
43 | 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 | Deep learning | Video | A | |
113 | Evaluation of CNN Performance in Semantically Relevant Latent Spaces | Jeroen van Doorenmalen, Vlado Menkovski | Deep learning | Video | A | |
107 | Event Recognition Based on Classification of Generated Image Captions | Andrey V. Savchenko, Evgeniy V. Miasnikov | Deep learning | Video | B | |
71 | Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder | Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou | Deep learning | Video | C | |
8 | AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model | Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys | General themes and applications | Video | B | |
6 | Adversarial Attacks Hidden in Plain Sight | Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer | General themes and applications | Video | C | |
114 | Aleatoric and Epistemic Uncertainty with Random Forests | Mohammad Hossein Shaker, Eyke Hüllermeier | General themes and applications | Video | A | |
87 | Angle-Based Crowding Degree Estimation for Many-Objective Optimization | Yani Xue, Miqing Li, Xiaohui Liu | General themes and applications | Video | B | |
111 | 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 | General themes and applications | Video | C | |
18 | Digital Footprints of International Migration on Twitter | Jisu Kim, Alina Sîrbu, Fosca Giannotti, Lorenzo Gabrielli | General themes and applications | Video | A | |
104 | Human-to-AI Coach: Improving Human Inputs to AI Systems | Johannes Schneider | General themes and applications | tba | B | |
34 | Master Your Metrics with Calibration | Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang | General themes and applications | Video | C | |
100 | Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams | Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst | Classification and regression | Video | A | |
15 | Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams | Maroua Bahri, Bernhard Pfahringer, Albert Bifet, Silviu Maniu | Classification and regression | Video | B | |
77 | Improving Prediction with Causal Probabilistic Variables | Ana Rita Nogueira, João Gama, Carlos Abreu Ferreira | Classification and regression | Video | C | |
68 | LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification | Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier | Classification and regression | Video | A | |
1 | Predicting Remaining Useful Life with Similarity-Based Priors | Youri Soons, Remco Dijkman, Maurice Jilderda, Wouter Duivesteijn | Classification and regression | tba | B | |
103 | Reconciling Predictions in the Regression Setting: An Application to Bus Travel Time Prediction | João Mendes-Moreira, Mitra Baratchi | Classification and regression | Video | C | |
91 | Transfer Learning by Learning Projections from Target to Source | Antoine Cornuéjols, Pierre-Alexandre Murena, Raphaël Olivier | Classification and regression | Video | A | |
86 | Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media | Diana Ramírez-Cifuentes, Christine Largeron, Julien Tissier, Ana Freire, Ricardo Baeza-Yates | Natural language processing | Video | B | |
67 | Supervised Phrase-Boundary Embeddings | Manni Singh, David Weston, Mark Levene | Natural language processing | Video | C | |
30 | Towards Content Sensitivity Analysis | Elena Battaglia, Livio Bioglio, Ruggero G. Pensa | Natural language processing | Video | A | |
58 | Actionable Subgroup Discovery and Urban Farm Optimization | Alexandre Millot, Romain Mathonat, Rémy Cazabet, Jean-François Boulicaut | Pattern discovery | Video | B | |
60 | Gibbs Sampling Subjectively Interesting Tiles | Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie | Pattern discovery | Video | C | |
73 | GraphMDL: Graph Pattern Selection Based on Minimum Description Length | Francesco Bariatti, Peggy Cellier, Sébastien Ferré | Pattern discovery | Video | A | |
57 | Vouw: Geometric Pattern Mining Using the MDL Principle | Micky Faas, Matthijs van Leeuwen | Pattern discovery | Video | B | |
26 | Widening for MDL-Based Retail Signature Discovery | Clément Gautrais, Peggy Cellier, Matthijs van Leeuwen, Alexandre Termier | Pattern discovery | Video | C | |
83 | A Consensus Approach to Improve NMF Document Clustering | Mickael Febrissy, Mohamed Nadif | Clustering | Video | B | |
64 | Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs | Kevin Dalleau, Miguel Couceiro, Malika Smail-Tabbone | Clustering | Video | C | |
22 | Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code | Frank Höppner, Maximilian Jahnke | Clustering | Video | A | |
82 | Even Faster Exact k-Means Clustering | Christian Borgelt | Clustering | Video | B | |
79 | Ising-Based Consensus Clustering on Specialized Hardware | Eldan Cohen, Avradip Mandal, Hayato Ushijima-Mwesigwa, Arnab Roy | Clustering | Video | C | |
55 | Overlapping Hierarchical Clustering (OHC) | Ian Jeantet, Zoltán Miklós, David Gross-Amblard | Clustering | Video | A |