1. Mussmann S, Liang P (2018) On the relationship between data efficiency and error for un-certainty sampling. arXiv preprint arXiv:1806.06123
2. Pimentel T, Monteiro M, Viana J, Veloso A, Ziviani N (2018) A generalized active learning approach for unsupervised anomaly detection. arXiv preprint arXiv:1805.09411
3. Tuor A, Kaplan S, Hutchinson B, Nichols N, Robinson S (2017) Deep learning for unsupervised insider threat detection in structured cybersecurity data streams. arXiv preprint arXiv:1710.00811
4. Tuor A, Baerwolf R, Knowles N, Hutchinson B, Nichols N, Jasper R (2018) Recurrent neural network language models for open vocabulary event-level cyber anomaly detection. Workshops at the thirty-second AAAI conference on artificial intelligence
5. Veeramachaneni K, Arnaldo I, Korrapati V, Bassias C, Li K (2016) AI: training a big data machine to defend. Big Data Security on Cloud (BigDataSecurity), IEEE international conference on high performance and smart computing (HPSC), and IEEE international conference on intelligent data and security (IDS), IEEE 2nd international conference, pp 49–54