- A Dictionary Learning Based Anomaly Detection Method for Network Traffic Data. Taha Yusuf Ceritli, Baris Kurt, Cagatay Yildiz, Bulent Sankur, Ali Taylan Cemgil.
- Anomaly Detection in Video with Bayesian Nonparametrics. Olga Isupova, Danil Kuzin, Lyudmila Mihaylova.
- Anomaly Detection for Software Systems in the Presence of Quasiperiodic Trends. Alexey Artemov, Evgeny Burnaev.
- Robust Mixture Models for Anomaly Detection. Oren Barkan, Amir Averbuch.
- ATD: Anomalous Topic Discovery in Text Documents. Hossein Soleimani, David J. Miller. (Best Poster Award)
- Multiple Change Point Analysis: Fast Implementation And Strong Consistency. Jie Ding, Yu Xiang, Lu Shen, Vahid Tarokh.
- Variational Inference for On-line Anomaly Detection in High-Dimensional Time Series. Maximilian Soelch, Justin Bayer, Marvin Ludersdorfer, Patrick van der Smagt.
- Anomaly Detection via Distributed Sparse Class-Imbalance Learning. Chandresh Kumar Maurya, Durga Toshniwal, Vishal Agarwal.
- LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection. Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff.
- Entropy-based clustering for anomaly detection from time-series data. Seif-Eddine Benkabou, Khalid Benabdeslem, Bruno Canitia.
- How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms? Nicolas Goix. (Best Paper Award)
- Recognizing warblers: a probabilistic model for event detection in Twitter. Joan Capdevila, Jesus Cerquides, Jordi Torres.
- Contrastive Structured Anomaly Detection for Gaussian Graphical Models. Abhinav Maurya, Mark Cheung.
- Maximally Divergent Intervals for Anomaly Detection. Erik Rodner, Bjorn Barz, Yanira Guanche, Milan Flach, Miguel Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler. (Best Paper Award)
- Learning Hyperparameters for Unsupervised Anomaly Detection. Albert Thomas, Stephan Clemencon, Vincent Feuillard, Alexandre Gramfort. (Best Paper Award)
- Potential Malicious Users Discrimination with Time Series Behavior Analysis. Murat Semerci, Ali Taylan Cemgil, Bulent Sankur.
- Kernel Embeddings for Large-Scale Anomaly Detection. Markus Schneider, Wolfgang Ertel, Fabio Ramos.
- Change and Anomaly Detection Framework for Internet of Things Data Streams. Gilad Wallach, Lev Faivishevsky, Amitai Armon.
- Informative Features for Anomaly Detection. Allison Del Giorno, J. Andrew Bagnell, Martial Hebert.
- Transfer Representation-Learning for Anomaly Detection. Jerone T. A. Andrews, Thomas Tanay, Edward J. Morton, Lewis D. Griffin.
- Anomaly Detection and Localisation using Mixed Graphical Models. Romain Laby, Francois Roueff, Alexandre Gramfort.
- Toward Building Computational Models for Detection and Reasoning about Abnormalities in Images. Babak Saleh, Ahmed Elgammal, Jacob Feldman, Ali Farhadi.