Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part I

Front Matter ....Pages I-XXXVIII
Front Matter ....Pages 1-1
 Image Anomaly Detection with Generative Adversarial Networks  (Lucas Deecke, Robert Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft)....Pages 3-17
 Image-to-Markup Generation via Paired Adversarial Learning  (Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu)....Pages 18-34
 Toward an Understanding of Adversarial Examples in Clinical Trials  (Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown)....Pages 35-51
 ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector  (Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau)....Pages 52-68
Front Matter ....Pages 69-69
 GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid  (Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry Pileggi et al.)....Pages 71-86
 Incorporating Privileged Information to Unsupervised Anomaly Detection  (Shubhranshu Shekhar, Leman Akoglu)....Pages 87-104
 L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional Space  (Ninh Pham)....Pages 105-121
 Beyond Outlier Detection: LookOut for Pictorial Explanation  (Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos)....Pages 122-138
 ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud  (M. Y. Meghanath, Deepak Pai, Leman Akoglu)....Pages 139-156
 Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features  (Minh-Nghia Nguyen, Ngo Anh Vien)....Pages 157-172
 Group Anomaly Detection Using Deep Generative Models  (Raghavendra Chalapathy, Edward Toth, Sanjay Chawla)....Pages 173-189
Front Matter ....Pages 191-191
 Detecting Autism by Analyzing a Simulated Social Interaction  (Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek et al.)....Pages 193-208
 A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements  (Silvia Makowski, Lena A. Jäger, Ahmed Abdelwahab, Niels Landwehr, Tobias Scheffer)....Pages 209-225
 Face-Cap: Image Captioning Using Facial Expression Analysis  (Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey)....Pages 226-240
 Pedestrian Trajectory Prediction with Structured Memory Hierarchies  (Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes)....Pages 241-256
Front Matter ....Pages 257-257
 Multiple Instance Learning with Bag-Level Randomized Trees  (Tomáš Komárek, Petr Somol)....Pages 259-272
 One-Class Quantification  (Denis dos Reis, André Maletzke, Everton Cherman, Gustavo Batista)....Pages 273-289
 Deep F-Measure Maximization in Multi-label Classification: A Comparative Study  (Stijn Decubber, Thomas Mortier, Krzysztof Dembczyński, Willem Waegeman)....Pages 290-305
 Ordinal Label Proportions  (Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie)....Pages 306-321
 AWX: An Integrated Approach to Hierarchical-Multilabel Classification  (Luca Masera, Enrico Blanzieri)....Pages 322-336
Front Matter ....Pages 337-337
 Clustering in the Presence of Concept Drift  (Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama)....Pages 339-355
 Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis  (Saeed Varasteh Yazdi, Ahlame Douzal-Chouakria, Patrick Gallinari, Manuel Moussallam)....Pages 356-372
 How Your Supporters and Opponents Define Your Interestingness  (Bruno Crémilleux, Arnaud Giacometti, Arnaud Soulet)....Pages 373-389
Front Matter ....Pages 391-391
 Efficient Decentralized Deep Learning by Dynamic Model Averaging  (Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz et al.)....Pages 393-409
 Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems  (Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer)....Pages 410-425
 Towards Efficient Forward Propagation on Resource-Constrained Systems  (Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning)....Pages 426-442
 Auxiliary Guided Autoregressive Variational Autoencoders  (Thomas Lucas, Jakob Verbeek)....Pages 443-458
 Cooperative Multi-agent Policy Gradient  (Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin)....Pages 459-476
 Parametric t-Distributed Stochastic Exemplar-Centered Embedding  (Martin Renqiang Min, Hongyu Guo, Dinghan Shen)....Pages 477-493
 Joint Autoencoders: A Flexible Meta-learning Framework  (Baruch Epstein, Ron Meir, Tomer Michaeli)....Pages 494-509
 Privacy Preserving Synthetic Data Release Using Deep Learning  (Nazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Latanya Sweeney)....Pages 510-526
 On Finer Control of Information Flow in LSTMs  (Hang Gao, Tim Oates)....Pages 527-540
 MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes  (Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree)....Pages 541-556
 Ontology Alignment Based on Word Embedding and Random Forest Classification  (Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Stewart Massie, Kit-Ying Hui, Rachel Heaven)....Pages 557-572
 Domain Adaption in One-Shot Learning  (Nanqing Dong, Eric P. Xing)....Pages 573-588
Front Matter ....Pages 589-589
 Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure  (Ibrahim Alabdulmohsin)....Pages 591-604
 Modular Dimensionality Reduction  (Henry W. J. Reeve, Tingting Mu, Gavin Brown)....Pages 605-619
 Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles  (Vitor Cerqueira, Fabio Pinto, Luis Torgo, Carlos Soares, Nuno Moniz)....Pages 620-636
 MetaBags: Bagged Meta-Decision Trees for Regression  (Jihed Khiari, Luis Moreira-Matias, Ammar Shaker, Bernard Ženko, Sašo Džeroski)....Pages 637-652
Front Matter ....Pages 653-653
 Visualizing the Feature Importance for Black Box Models  (Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl)....Pages 655-670
 Efficient Estimation of AUC in a Sliding Window  (Nikolaj Tatti)....Pages 671-686
 Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices  (Blaise Hanczar, Mohamed Nadif)....Pages 687-702
 Evaluation Procedures for Forecasting with Spatio-Temporal Data  (Mariana Oliveira, Luís Torgo, Vítor Santos Costa)....Pages 703-718
 A Blended Metric for Multi-label Optimisation and Evaluation  (Laurence A. F. Park, Jesse Read)....Pages 719-734
Back Matter ....Pages 735-740