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K. Malanchev

17 papers hereh-index 6167 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author12
  • last author2

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM10
  • astro-ph.HE3
  • cs.LG3
  • astro-ph.SR1
same name
  • K. Malanchev — 14 papers, h 5
  • K. Malanchev — 12 papers, h 6
  • K. Malanchev — 11 papers, h 5
  • K. Malanchev — 5 papers, h 1
  • K. Malanchev — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedAnomaly detection in the Zwicky Transient Facility DR3

58 citations · 179 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

astro-ph.IM2024

Coniferest: a complete active anomaly detection framework

M. V. Kornilov, V. S. Korolev, K. L. Malanchev +8

We present coniferest, an open source generic purpose active anomaly detection framework written in Python. The package design and implemented algorithms are described. Currently,…

astro-ph.IM2024

Superluminous supernova search with PineForest

T. Majumder, M. V. Pruzhinskaya, E. E. O. Ishida +3

The advent of wide-field astronomical surveys has made available large and complex data sets. However, the process of discovery and interpretation of each potentially new astronomi…

astro-ph.IM2024★ 2 cited

Exploring the Universe with SNAD: Anomaly Detection in Astronomy

Alina A. Volnova, Patrick D. Aleo, Anastasia Lavrukhina +9

SNAD is an international project with a primary focus on detecting astronomical anomalies within large-scale surveys, using active learning and other machine learning algorithms. T…

cs.LG2024★ 1 cited

Multi-View Symbolic Regression

Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +6

Symbolic regression (SR) searches for analytical expressions representing the relationship between a set of explanatory and response variables. Current SR methods assume a single d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.