Ivan Nazarov

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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 for constructing non-parametric confidence regions, that offer guarantees regarding validity. In this paper we provide a detailed description of a computationally efficient(More)
Steganography is collection of methods to hide secret information (“payload”) within non-secret information (“container”). Its counterpart, Steganalysis, is the practice of determining if a message contains a hidden payload, and recovering it if possible. Presence of hidden payloads is typically detected by a binary classifier. In the present study, we(More)
269 The late 1940s and the early 1950s were marked by an extraordinary rise in the interest of scientists worldwide (chemists, biologists, and physicians) in steroid hormones, one of the types of natural compounds later referred to as low-molecular bioregulators. The steroid compounds constructed on the basis of the cyclopentanoperhydrophenanthrene skeleton(More)
Anomalies in time-series data give essential and often actionable information in many applications. In this paper we consider a model-free anomaly detection method for univariate time-series which adapts to non-stationarity in the data stream and provides probabilistic abnormality scores based on the conformal prediction paradigm. Despite its simplicity the(More)