Abstract is missing.
- Image Anomaly Detection with Generative Adversarial NetworksLucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft. 3-17 [doi]
- Image-to-Markup Generation via Paired Adversarial LearningJin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu. 18-34 [doi]
- Toward an Understanding of Adversarial Examples in Clinical TrialsKonstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown 0001. 35-51 [doi]
- ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object DetectorShang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau. 52-68 [doi]
- GridWatch: Sensor Placement and Anomaly Detection in the Electrical GridBryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos. 71-86 [doi]
- Incorporating Privileged Information to Unsupervised Anomaly DetectionShubhranshu Shekhar, Leman Akoglu. 87-104 [doi]
- L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional SpaceNinh Pham. 105-121 [doi]
- Beyond Outlier Detection: LookOut for Pictorial ExplanationNikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos. 122-138 [doi]
- ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad FraudMeghanath Macha Meghanath, Deepak Pai, Leman Akoglu. 139-156 [doi]
- Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier FeaturesMinh-Nghia Nguyen, Ngo Anh Vien. 157-172 [doi]
- Group Anomaly Detection Using Deep Generative ModelsRaghavendra Chalapathy, Edward Toth, Sanjay Chawla. 173-189 [doi]
- Detecting Autism by Analyzing a Simulated Social InteractionHanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer. 193-208 [doi]
- A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye MovementsSilvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer. 209-225 [doi]
- Face-Cap: Image Captioning Using Facial Expression AnalysisOmid Mohamad Nezami, Mark Dras, Peter Anderson 0001, Len Hamey. 226-240 [doi]
- Pedestrian Trajectory Prediction with Structured Memory HierarchiesTharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes. 241-256 [doi]
- Multiple Instance Learning with Bag-Level Randomized TreesTomás Komárek, Petr Somol. 259-272 [doi]
- One-Class QuantificationDenis Moreira dos Reis, André Gustavo Maletzke, Everton Cherman, Gustavo Enrique De Almeida Prado Alves Batista. 273-289 [doi]
- Deep F-Measure Maximization in Multi-label Classification: A Comparative StudyStijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman. 290-305 [doi]
- Ordinal Label ProportionsRafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie. 306-321 [doi]
- AWX: An Integrated Approach to Hierarchical-Multilabel ClassificationLuca Masera, Enrico Blanzieri. 322-336 [doi]
- Clustering in the Presence of Concept DriftRichard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama. 339-355 [doi]
- Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream AnalysisSaeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam. 356-372 [doi]
- How Your Supporters and Opponents Define Your InterestingnessBruno Crémilleux, Arnaud Giacometti, Arnaud Soulet. 373-389 [doi]
- Efficient Decentralized Deep Learning by Dynamic Model AveragingMichael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel. 393-409 [doi]
- Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification ProblemsAlex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer. 410-425 [doi]
- Towards Efficient Forward Propagation on Resource-Constrained SystemsGünther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning. 426-442 [doi]
- Auxiliary Guided Autoregressive Variational AutoencodersThomas Lucas, Jakob Verbeek. 443-458 [doi]
- Cooperative Multi-agent Policy GradientGuillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin 0001. 459-476 [doi]
- Parametric t-Distributed Stochastic Exemplar-Centered EmbeddingMartin Renqiang Min, Hongyu Guo, Dinghan Shen. 477-493 [doi]
- Joint Autoencoders: A Flexible Meta-learning FrameworkBaruch Epstein, Ron Meir, Tomer Michaeli. 494-509 [doi]
- Privacy Preserving Synthetic Data Release Using Deep LearningNazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham, Latanya Sweeney. 510-526 [doi]
- On Finer Control of Information Flow in LSTMsHang Gao, Tim Oates. 527-540 [doi]
- MaxGain: Regularisation of Neural Networks by Constraining Activation MagnitudesHenry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree. 541-556 [doi]
- Ontology Alignment Based on Word Embedding and Random Forest ClassificationIkechukwu Nkisi-Orji, Nirmalie Wiratunga, Stewart Massie, Kit-ying Hui, Rachel Heaven. 557-572 [doi]
- Domain Adaption in One-Shot LearningNanqing Dong, Eric P. Xing. 573-588 [doi]
- Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update ProcedureIbrahim M. Alabdulmohsin. 591-604 [doi]
- Modular Dimensionality ReductionHenry W. J. Reeve, Tingting Mu, Gavin Brown 0001. 605-619 [doi]
- Constructive Aggregation and Its Application to Forecasting with Dynamic EnsemblesVítor Cerqueira, Fábio Pinto, Luis Torgo, Carlos Soares, Nuno Moniz. 620-636 [doi]
- MetaBags: Bagged Meta-Decision Trees for RegressionJihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski. 637-652 [doi]
- Visualizing the Feature Importance for Black Box ModelsGiuseppe Casalicchio, Christoph Molnar, Bernd Bischl. 655-670 [doi]
- Efficient Estimation of AUC in a Sliding WindowNikolaj Tatti. 671-686 [doi]
- Controlling and Visualizing the Precision-Recall Tradeoff for External Performance IndicesBlaise Hanczar, Mohamed Nadif. 687-702 [doi]
- Evaluation Procedures for Forecasting with Spatio-Temporal DataMariana Oliveira 0001, Luís Torgo, Vítor Santos Costa. 703-718 [doi]
- A Blended Metric for Multi-label Optimisation and EvaluationLaurence A. F. Park, Jesse Read. 719-734 [doi]