233 citations · 1.1k across the 115 of their papers we have counts for
7 papers · 1 filter
Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks
Alexandr Notchenko, Ermek Kapushev, Evgeny Burnaev
In this paper we present results of performance evaluation of S3DCNN - a Sparse 3D Convolutional Neural Network - on a large-scale 3D Shape benchmark ModelNet40, and measure how it…
Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection
Evgeny Burnaev, Ivan Koptelov, German Novikov +1
Recurrent Neural Networks (RNNs) are extensively used for time-series modeling and prediction. We propose an approach for automatic construction of a binary classifier based on Lon…
Detecting Performance Degradation of Software-Intensive Systems in the Presence of Trends and Long-Range Dependence
Alexey Artemov, Evgeny Burnaev
As contemporary software-intensive systems reach increasingly large scale, it is imperative that failure detection schemes be developed to help prevent costly system downtimes. A p…
Conformalized Kernel Ridge Regression
Evgeny Burnaev, Ivan Nazarov
General predictive models do not provide a measure of confidence in predictions without Bayesian assumptions. A way to circumvent potential restrictions is to use conformal methods…
GTApprox: surrogate modeling for industrial design
Mikhail Belyaev, Evgeny Burnaev, Ermek Kapushev +4
We describe GTApprox - a new tool for medium-scale surrogate modeling in industrial design. Compared to existing software, GTApprox brings several innovations: a few novel approxim…
One-Class SVM with Privileged Information and its Application to Malware Detection
Evgeny Burnaev, Dmitry Smolyakov
A number of important applied problems in engineering, finance and medicine can be formulated as a problem of anomaly detection. A classical approach to the problem is to describe…