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ORCIDPKDD / ECML 2018: Dublin, Ireland
- Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim
:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11051, Springer 2019, ISBN 978-3-030-10924-0
Adversarial Learning
- Lucas Deecke, Robert A. Vandermeulen, Lukas Ruff, Stephan Mandt, Marius Kloft:
Image Anomaly Detection with Generative Adversarial Networks. 3-17 - Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Image-to-Markup Generation via Paired Adversarial Learning. 18-34 - Konstantinos Papangelou, Konstantinos Sechidis, James Weatherall, Gavin Brown:
Toward an Understanding of Adversarial Examples in Clinical Trials. 35-51 - Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng (Polo) Chau:
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector. 52-68
Anomaly and Outlier Detection
- Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos:
GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid. 71-86 - Shubhranshu Shekhar, Leman Akoglu:
Incorporating Privileged Information to Unsupervised Anomaly Detection. 87-104 - Ninh Pham:
L1-Depth Revisited: A Robust Angle-Based Outlier Factor in High-Dimensional Space. 105-121 - Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos:
Beyond Outlier Detection: LookOut for Pictorial Explanation. 122-138 - Meghanath Macha Yadagiri, Deepak Pai, Leman Akoglu:
ConOut: Contextual Outlier Detection with Multiple Contexts: Application to Ad Fraud. 139-156 - Minh-Nghia Nguyen, Ngo Anh Vien:
Scalable and Interpretable One-Class SVMs with Deep Learning and Random Fourier Features. 157-172 - Raghavendra Chalapathy, Edward Toth, Sanjay Chawla:
Group Anomaly Detection Using Deep Generative Models. 173-189
Applications
- Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer:
Detecting Autism by Analyzing a Simulated Social Interaction. 193-208 - Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer:
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. 209-225 - Omid Mohamad Nezami, Mark Dras, Peter Anderson, Len Hamey:
Face-Cap: Image Captioning Using Facial Expression Analysis. 226-240 - Tharindu Fernando, Simon Denman, Sridha Sridharan, Clinton Fookes:
Pedestrian Trajectory Prediction with Structured Memory Hierarchies. 241-256
Classification
- Tomás Komárek, Petr Somol:
Multiple Instance Learning with Bag-Level Randomized Trees. 259-272 - Denis Moreira dos Reis, André Gustavo Maletzke, Everton Alvares Cherman, Gustavo Enrique De Almeida Prado Alves Batista:
One-Class Quantification. 273-289 - Stijn Decubber, Thomas Mortier, Krzysztof Dembczynski, Willem Waegeman:
Deep F-Measure Maximization in Multi-label Classification: A Comparative Study. 290-305 - Rafael Poyiadzi, Raúl Santos-Rodríguez, Tijl De Bie:
Ordinal Label Proportions. 306-321 - Luca Masera, Enrico Blanzieri:
AWX: An Integrated Approach to Hierarchical-Multilabel Classification. 322-336
Clustering and Unsupervised Learning
- Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz, João Gama:
Clustering in the Presence of Concept Drift. 339-355 - Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam:
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. 356-372 - Bruno Crémilleux, Arnaud Giacometti, Arnaud Soulet:
How Your Supporters and Opponents Define Your Interestingness. 373-389
Deep Learning
- Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel:
Efficient Decentralized Deep Learning by Dynamic Model Averaging. 393-409 - Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer:
Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems. 410-425 - Günther Schindler, Matthias Zöhrer, Franz Pernkopf, Holger Fröning:
Towards Efficient Forward Propagation on Resource-Constrained Systems. 426-442 - Thomas Lucas, Jakob Verbeek:
Auxiliary Guided Autoregressive Variational Autoencoders. 443-458 - Guillaume Bono, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, Olivier Simonin:
Cooperative Multi-agent Policy Gradient. 459-476 - Martin Renqiang Min, Hongyu Guo, Dinghan Shen:
Parametric t-Distributed Stochastic Exemplar-Centered Embedding. 477-493 - Baruch Epstein, Ron Meir, Tomer Michaeli:
Joint Autoencoders: A Flexible Meta-learning Framework. 494-509 - Nazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Latanya Sweeney:
Privacy Preserving Synthetic Data Release Using Deep Learning. 510-526 - Hang Gao, Tim Oates:
On Finer Control of Information Flow in LSTMs. 527-540 - Henry Gouk, Bernhard Pfahringer, Eibe Frank, Michael J. Cree:
MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes. 541-556 - Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Stewart Massie, Kit-Ying Hui, Rachel Heaven:
Ontology Alignment Based on Word Embedding and Random Forest Classification. 557-572 - Nanqing Dong, Eric P. Xing:
Domain Adaption in One-Shot Learning. 573-588
Ensemble Methods
- Ibrahim M. Alabdulmohsin:
Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure. 591-604 - Henry W. J. Reeve, Tingting Mu, Gavin Brown:
Modular Dimensionality Reduction. 605-619 - Vítor Cerqueira, Fábio Pinto, Luís Torgo, Carlos Soares, Nuno Moniz:
Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles. 620-636 - Jihed Khiari, Luís Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski:
MetaBags: Bagged Meta-Decision Trees for Regression. 637-652
Evaluation
- Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl:
Visualizing the Feature Importance for Black Box Models. 655-670 - Nikolaj Tatti:
Efficient Estimation of AUC in a Sliding Window. 671-686 - Blaise Hanczar, Mohamed Nadif:
Controlling and Visualizing the Precision-Recall Tradeoff for External Performance Indices. 687-702 - Mariana Oliveira, Luís Torgo, Vítor Santos Costa:
Evaluation Procedures for Forecasting with Spatio-Temporal Data. 703-718 - Laurence A. F. Park, Jesse Read:
A Blended Metric for Multi-label Optimisation and Evaluation. 719-734
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