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ORCIDPKDD / ECML 2019: Würzburg, Germany
- Ulf Brefeld, Élisa Fromont
, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11906, Springer 2020, ISBN 978-3-030-46149-2
Pattern Mining
- Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre:
DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. 3-20 - Florian Seiffarth, Tamás Horváth, Stefan Wrobel:
Maximal Closed Set and Half-Space Separations in Finite Closure Systems. 21-37 - Jonas Fischer, Jilles Vreeken:
Sets of Robust Rules, and How to Find Them. 38-54
Clustering, Anomaly and Outlier Detection, and Autoencoders
- Hongjing Zhang, Sugato Basu, Ian Davidson:
A Framework for Deep Constrained Clustering - Algorithms and Advances. 57-72 - Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley:
A Framework for Parallelizing Hierarchical Clustering Methods. 73-89 - Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera:
Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. 90-106 - Mehran Hossein Zadeh Bazargani, Brian Mac Namee:
The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection. 107-123 - Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens:
Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations. 124-139 - Luce le Gorrec, Sandrine Mouysset, Iain S. Duff, Philip A. Knight, Daniel Ruiz:
Uncovering Hidden Block Structure for Clustering. 140-155 - Wenjie Feng, Shenghua Liu, Xueqi Cheng:
CatchCore: Catching Hierarchical Dense Subtensor. 156-172 - Sungjin Im, Mahshid Montazer Qaem:
Fast and Parallelizable Ranking with Outliers from Pairwise Comparisons. 173-188 - Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. 189-205 - Laura Beggel, Michael Pfeiffer, Bernd Bischl:
Robust Anomaly Detection in Images Using Adversarial Autoencoders. 206-222 - Frank Höppner, Maximilian Jahnke:
Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms. 223-239 - Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals:
Pattern-Based Anomaly Detection in Mixed-Type Time Series. 240-256 - Sibylle Hess, Wouter Duivesteijn:
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. 257-273 - Victor Berger, Michèle Sebag:
From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-Encoder. 274-289
Dimensionality Reduction and Feature Selection
- Lei Zhang, Shupeng Wang, Xin Jin, Siyu Jia:
Joint Multi-source Reduction. 293-309 - Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. 310-326 - Konstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown:
On the Stability of Feature Selection in the Presence of Feature Correlations. 327-342 - Guillaume Doquet, Michèle Sebag:
Agnostic Feature Selection. 343-358
Social Networks and Graphs
- Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. 361-377 - Charalampos E. Tsourakakis, Tianyi Chen, Naonori Kakimura, Jakub Pachocki:
Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries. 378-394 - Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand:
Node Representation Learning for Directed Graphs. 395-411 - Ghadeer Abuoda, Gianmarco De Francisci Morales, Ashraf Aboulnaga:
Link Prediction via Higher-Order Motif Features. 412-429 - Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty:
SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. 430-446 - Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Kunio Hato, Masaki Aida:
Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian. 447-463 - Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. 464-482 - Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. 483-506 - Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley:
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection. 507-523 - Pedro Mercado, Jessica Bosch, Martin Stoll:
Node Classification for Signed Social Networks Using Diffuse Interface Methods. 524-540 - Vachik S. Dave, Mohammad Al Hasan:
Triangle Completion Time Prediction Using Time-Conserving Embedding. 541-557
Decision Trees, Interpretability, and Causality
- Mojdeh Saadati, Jin Tian:
Adjustment Criteria for Recovering Causal Effects from Missing Data. 561-577 - Atsuyoshi Nakamura, Kento Sakurada:
An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest. 578-589 - Laurens Devos, Wannes Meert, Jesse Davis:
Fast Gradient Boosting Decision Trees with Bit-Level Data Structures. 590-606 - Krzysztof Rudas, Szymon Jaroszewicz:
Shrinkage Estimators for Uplift Regression. 607-623
Strings and Streams
- Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
String Sanitization: A Combinatorial Approach. 627-644 - Hadar Sivan, Moshe Gabel, Assaf Schuster:
Online Linear Models for Edge Computing. 645-661 - Nikolaj Tatti:
Fast Likelihood-Based Change Point Detection. 662-677 - Amal Saadallah, Florian Priebe, Katharina Morik:
A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting. 678-694
Privacy and Security
- Anant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park:
A Differentially Private Kernel Two-Sample Test. 697-724 - Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe:
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. 725-740
Optimization
- S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. 743-760
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