32 citations · 106 across the 33 of their papers we have counts for
5 papers · 1 filter
Classification with Costly Features in Hierarchical Deep Sets
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
Classification with Costly Features (CwCF) is a classification problem that includes the cost of features in the optimization criteria. Individually for each sample, its features a…
Classification with Costly Features as a Sequential Decision-Making Problem
Jaromír Janisch, Tomáš Pevný, Viliam Lisý
This work focuses on a specific classification problem, where the information about a sample is not readily available, but has to be acquired for a cost, and there is a per-sample…
Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, Rene Knaebel, Lukas Machlica +2
Detection of malware-infected computers and detection of malicious web domains based on their encrypted HTTPS traffic are challenging problems, because only addresses, timestamps,…
Approximation capability of neural networks on spaces of probability measures and tree-structured domains
Tomas Pevny, Vojtech Kovarik
This paper extends the proof of density of neural networks in the space of continuous (or even measurable) functions on Euclidean spaces to functions on compact sets of probability…
Anomaly scores for generative models
Václav Šmídl, Jan Bím, Tomáš Pevný
Reconstruction error is a prevalent score used to identify anomalous samples when data are modeled by generative models, such as (variational) auto-encoders or generative adversari…