Abstract is missing.
- DEvIANT: Discovering Significant Exceptional (Dis-)Agreement Within GroupsAdnene Belfodil, Wouter Duivesteijn, Marc Plantevit, Sylvie Cazalens, Philippe Lamarre. 3-20 [doi]
- Maximal Closed Set and Half-Space Separations in Finite Closure SystemsFlorian Seiffarth, Tamás Horváth 0001, Stefan Wrobel. 21-37 [doi]
- Sets of Robust Rules, and How to Find ThemJonas Fischer, Jilles Vreeken. 38-54 [doi]
- A Framework for Deep Constrained Clustering - Algorithms and AdvancesHongjing Zhang, Sugato Basu, Ian Davidson. 57-72 [doi]
- A Framework for Parallelizing Hierarchical Clustering MethodsSilvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley. 73-89 [doi]
- Unsupervised and Active Learning Using Maximin-Based Anomaly DetectionZahra Ghafoori, James C. Bezdek, Christopher Leckie, Shanika Karunasekera. 90-106 [doi]
- The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly DetectionMehran Hossein Zadeh Bazargani, Brian Mac Namee. 107-123 [doi]
- Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE VisualisationsDmitry Kobak, George C. Linderman, Stefan Steinerberger, Yuval Kluger, Philipp Berens. 124-139 [doi]
- Uncovering Hidden Block Structure for ClusteringLuce le Gorrec, Sandrine Mouysset, Iain S. Duff, Philip A. Knight, Daniel Ruiz 0002. 140-155 [doi]
- CatchCore: Catching Hierarchical Dense SubtensorWenjie Feng, Shenghua Liu, Xueqi Cheng. 156-172 [doi]
- Fast and Parallelizable Ranking with Outliers from Pairwise ComparisonsSungjin Im, Mahshid Montazer Qaem. 173-188 [doi]
- Black Box Explanation by Learning Image Exemplars in the Latent Feature SpaceRiccardo Guidotti, Anna Monreale, Stan Matwin, Dino Pedreschi. 189-205 [doi]
- Robust Anomaly Detection in Images Using Adversarial AutoencodersLaura Beggel, Michael Pfeiffer 0001, Bernd Bischl. 206-222 [doi]
- Holistic Assessment of Structure Discovery Capabilities of Clustering AlgorithmsFrank Höppner, Maximilian Jahnke. 223-239 [doi]
- Pattern-Based Anomaly Detection in Mixed-Type Time SeriesLen Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals. 240-256 [doi]
- k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration InequalitiesSibylle Hess, Wouter Duivesteijn. 257-273 [doi]
- From Abstract Items to Latent Spaces to Observed Data and Back: Compositional Variational Auto-EncoderVictor Berger, Michèle Sebag. 274-289 [doi]
- Joint Multi-source ReductionLei Zhang, Shupeng Wang, Xin Jin, Siyu Jia. 293-309 [doi]
- Interpretable Discriminative Dimensionality Reduction and Feature Selection on the ManifoldBabak Hosseini, Barbara Hammer. 310-326 [doi]
- On the Stability of Feature Selection in the Presence of Feature CorrelationsKonstantinos Sechidis, Konstantinos Papangelou, Sarah Nogueira, James Weatherall, Gavin Brown 0001. 327-342 [doi]
- Agnostic Feature SelectionGuillaume Doquet, Michèle Sebag. 343-358 [doi]
- User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive TranscriptionYu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han 0001. 361-377 [doi]
- Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion QueriesCharalampos E. Tsourakakis, Tianyi Chen, Naonori Kakimura, Jakub Pachocki. 378-394 [doi]
- Node Representation Learning for Directed GraphsMegha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand. 395-411 [doi]
- Link Prediction via Higher-Order Motif FeaturesGhadeer AbuOda, Gianmarco De Francisci Morales, Ashraf Aboulnaga. 412-429 [doi]
- SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social RecommendationVijaikumar M, Shirish K. Shevade, M. Narasimha Murty. 430-446 [doi]
- Graph Signal Processing for Directed Graphs Based on the Hermitian LaplacianSatoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Kunio Hato, Masaki Aida. 447-463 [doi]
- Learning Aligned-Spatial Graph Convolutional Networks for Graph ClassificationLu Bai 0001, Yuhang Jiao 0001, Lixin Cui, Edwin R. Hancock. 464-482 [doi]
- node2bits: Compact Time- and Attribute-Aware Node Representations for User StitchingDi Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra. 483-506 [doi]
- A Soft Affiliation Graph Model for Scalable Overlapping Community DetectionNishma Laitonjam, Weipéng Huáng, Neil J. Hurley. 507-523 [doi]
- Node Classification for Signed Social Networks Using Diffuse Interface MethodsPedro Mercado 0001, Jessica Bosch, Martin Stoll. 524-540 [doi]
- Triangle Completion Time Prediction Using Time-Conserving EmbeddingVachik S. Dave, Mohammad Al Hasan. 541-557 [doi]
- Adjustment Criteria for Recovering Causal Effects from Missing DataMojdeh Saadati, Jin Tian. 561-577 [doi]
- An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision ForestAtsuyoshi Nakamura, Kento Sakurada. 578-589 [doi]
- Fast Gradient Boosting Decision Trees with Bit-Level Data StructuresLaurens Devos, Wannes Meert, Jesse Davis. 590-606 [doi]
- Shrinkage Estimators for Uplift RegressionKrzysztof Rudas, Szymon Jaroszewicz. 607-623 [doi]
- String Sanitization: A Combinatorial ApproachGiulia Bernardini 0001, Huiping Chen, Alessio Conte, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giovanna Rosone. 627-644 [doi]
- Online Linear Models for Edge ComputingHadar Sivan, Moshe Gabel, Assaf Schuster. 645-661 [doi]
- Fast Likelihood-Based Change Point DetectionNikolaj Tatti. 662-677 [doi]
- A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series ForecastingAmal Saadallah, Florian Priebe, Katharina Morik. 678-694 [doi]
- A Differentially Private Kernel Two-Sample TestAnant Raj, Ho Chung Leon Law, Dino Sejdinovic, Mijung Park. 697-724 [doi]
- Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security GamesSarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe. 725-740 [doi]
- A Stochastic Quasi-Newton Method with Nesterov's Accelerated GradientS. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Hideki Asai. 743-760 [doi]