Bibliografie

Šmídl Václav, Bím J., Pevný T. : Orthogonal Approximation of Marginal Likelihood of Generative Models , Bayesian Deep Learning NeurIPS 2019 Workshop, 48 , NeurIPS 2019, (Vancouver, CA, 20191208) [2019] Download
Flusser M., Pevný T., Somol Petr : Density-Approximating Neural Network Models for Anomaly Detection , ACM SIGKDD 2018 Workshop, p. 1-8, ACM SIGKDD 2018 Workshop, (London, GB, 20180820) [2018] Download
Pevný T., Somol Petr : Discriminative models for multi-instance problems with tree-structure , Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), p. 83-91, the 2016 ACM Workshop on Artificial Intelligence and Security (AISec'16), (Vienna, AT, 20161028) [2016] Download DOI: 10.1145/2996758.2996761
Somol Petr, Pevný T. : Discriminative Models for Multi-instance Problems with Tree Structure , Proceedings of the 9th ACM Workshop on Artificial Intelligence and Security 2016, 9th ACM Workshop on Artificial Intelligence and Security, (Vienna, AT, 28.10.2016) [2016] Download DOI: 10.1145/2996758.2996761
Létal V., Pevný T., Šmídl Václav, Somol Petr : Finding New Malicious Domains Using Variational Bayes on Large-Scale Computer Network Data , NIPS Workshop: Advances in Approximate Bayesian Inference, p. 1-10, NIPS workshop: Advances in Approximate Bayesian Inference, (Montreal, CA, 11.12.2015) [2015] Download

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