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Publication search results
found 44 matches
- 2020
- 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 [contents] - 2019
- Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) 2019: 464-482 - Pedro Mercado, Jessica Bosch, Martin Stoll:
Node Classification for Signed Social Networks Using Diffuse Interface Methods. ECML/PKDD (1) 2019: 524-540 - Giulia Bernardini, Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone:
String Sanitization: A Combinatorial Approach. ECML/PKDD (1) 2019: 627-644 - Ghadeer Abuoda, Gianmarco De Francisci Morales, Ashraf Aboulnaga:
Link Prediction via Higher-Order Motif Features. ECML/PKDD (1) 2019: 412-429 - Mehran Hossein Zadeh Bazargani, Brian Mac Namee:
The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection. ECML/PKDD (1) 2019: 107-123 - Laura Beggel, Michael Pfeiffer, Bernd Bischl:
Robust Anomaly Detection in Images Using Adversarial Autoencoders. ECML/PKDD (1) 2019: 206-222 - Adnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre:
DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within Groups. ECML/PKDD (1) 2019: 3-20 - Victor Berger, Michèle Sebag:
From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-Encoder. ECML/PKDD (1) 2019: 274-289 - 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. ECML/PKDD (1) 2019: 725-740 - Vachik S. Dave, Mohammad Al Hasan:
Triangle Completion Time Prediction Using Time-Conserving Embedding. ECML/PKDD (1) 2019: 541-557 - Laurens Devos, Wannes Meert, Jesse Davis:
Fast Gradient Boosting Decision Trees with Bit-Level Data Structures. ECML/PKDD (1) 2019: 590-606 - Guillaume Doquet, Michèle Sebag:
Agnostic Feature Selection. ECML/PKDD (1) 2019: 343-358 - Wenjie Feng, Shenghua Liu, Xueqi Cheng:
CatchCore: Catching Hierarchical Dense Subtensor. ECML/PKDD (1) 2019: 156-172 - Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals:
Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) 2019: 240-256 - Jonas Fischer, Jilles Vreeken:
Sets of Robust Rules, and How to Find Them. ECML/PKDD (1) 2019: 38-54 - Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Kunio Hato, Masaki Aida:
Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian. ECML/PKDD (1) 2019: 447-463 - Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera:
Unsupervised and Active Learning Using Maximin-Based Anomaly Detection. ECML/PKDD (1) 2019: 90-106 - Luce le Gorrec, Sandrine Mouysset, Iain S. Duff, Philip A. Knight, Daniel Ruiz:
Uncovering Hidden Block Structure for Clustering. ECML/PKDD (1) 2019: 140-155 - Riccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi:
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space. ECML/PKDD (1) 2019: 189-205 - Sibylle Hess, Wouter Duivesteijn:
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. ECML/PKDD (1) 2019: 257-273 - Frank Höppner, Maximilian Jahnke:
Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms. ECML/PKDD (1) 2019: 223-239 - Babak Hosseini, Barbara Hammer:
Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold. ECML/PKDD (1) 2019: 310-326 - Sungjin Im, Mahshid Montazer Qaem:
Fast and Parallelizable Ranking with Outliers from Pairwise Comparisons. ECML/PKDD (1) 2019: 173-188 - S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai:
A Stochastic Quasi-Newton Method with Nesterov's Accelerated Gradient. ECML/PKDD (1) 2019: 743-760 - Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. ECML/PKDD (1) 2019: 483-506 - Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand:
Node Representation Learning for Directed Graphs. ECML/PKDD (1) 2019: 395-411 - Dmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens:
Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations. ECML/PKDD (1) 2019: 124-139 - Nishma Laitonjam, Weipéng Huáng, Neil J. Hurley:
A Soft Affiliation Graph Model for Scalable Overlapping Community Detection. ECML/PKDD (1) 2019: 507-523 - Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley:
A Framework for Parallelizing Hierarchical Clustering Methods. ECML/PKDD (1) 2019: 73-89
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