2 citations · 2 across the 4 of their papers we have counts for
5 papers
Stochastic Sequential Search in Very-High-Dimensional Feature Selection
Petr Somol, Jiří Grim
Sequential subset search -- forward selection with floating backtracking and its descendants -- remains the quality reference in feature selection, but every member of the family s…
Avast-CTU Public CAPE Dataset
Branislav Bosansky, Dominik Kouba, Ondrej Manhal +4
There is a limited amount of publicly available data to support research in malware analysis technology. Particularly, there are virtually no publicly available datasets generated…
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data
Tomáš Pevný, Viliam Lisý, Branislav Bošanský +2
Learning from raw data input, thus limiting the need for feature engineering, is a component of many successful applications of machine learning methods in various domains. While m…
Discriminative models for multi-instance problems with tree-structure
Tomas Pevny, Petr Somol
Modeling network traffic is gaining importance in order to counter modern threats of ever increasing sophistication. It is though surprisingly difficult and costly to construct rel…
Using Neural Network Formalism to Solve Multiple-Instance Problems
Tomas Pevny, Petr Somol
Many objects in the real world are difficult to describe by a single numerical vector of a fixed length, whereas describing them by a set of vectors is more natural. Therefore, Mul…