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Anna V. Kononova

Leiden University

16H-index
179Paper Count
1.0KCitation Count
Published Papers 12
Publication Date
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DQS: a low-budget query strategy for enhancing unsupervised data-driven anomaly detection approaches
errJournal of Big Data
IF6.4
err2026-08-08
err0
errOAAI
errLucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova
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How does downsampling affect needle electromyography signals? A generalisable workflow for understanding downsampling effects on high-frequency time series
errBiomedical Signal Processing and Control
IF4.9
err2026-07-01
err0
PREAI
errCherpitel, Mathieu J. L.; Luijten, Janne A. M.; Back, Thomas H. W.; Verhamme, Camiel; Tannemaat, Martijn R.; Kononova, Anna, V
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A survey of graphical models for decision-making: integrating causality and game theory
errArtificial Intelligence Review
IF13.9
err2026-04-10
err0
errOAAI
errMaarten C. Vonk; Mauricio Gonzalez-Soto; Anna V. Kononova
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From spikes to speech: NeuroVoc – A biologically plausible vocoder framework for auditory perception and cochlear implant simulation
errHearing Research
IF2.5
err2025-11-11
err0
errOAAI
errJacob de Nobel; Jeroen J. Briaire; Thomas H.W. Bäck; Anna V. Kononova; Johan H.M. Frijns
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PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
errBig Data Research
IF4.2
err2025-11-07
err0
errOAAI
errLucas Correia; Jan-Christoph Goos; Thomas Bäck; Anna V. Kononova
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Artificial intelligence for the analysis of head-upright tilt test data in syncope testing: a scoping review
errClinical Neurophysiology
IF3.6
err2025-07-09
err0
errOAAI
errF.N. van der Geest; M.R. Tannemaat; F. Ye; A.V. Kononova; I.A. van Rossum
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Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions (vol 138, 109323, 2024)
errENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
IF8
err2025-04-01
err0
PREAI
errCorreia, Lucas; Goos, Jan-Christoph; Klein, Philipp; Back, Thomas; Kononova, Anna V.
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AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents
errFRONTIERS IN ARTIFICIAL INTELLIGENCE
IF4.7
err2025-03-26
err0
errOAAI
errGodin-Dubois, Kevin; Miras, Karine; Kononova, Anna V.
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Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach
errCLINICAL NEUROPHYSIOLOGY
IF3.6
err2023-02-01
err21
errOAAI
errTannemaat, M. R.; Kefalas, M.; Geraedts, V. J.; Remijn-Nelissen, L.; Verschuuren, A. J. M.; Koch, M.; Kononova, A., V; Wang, H.; Back, T. H. W.
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BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
errIEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
IF12
err2022-12-01
err10
errOAAI
errVermetten, Diederick; van Stein, Bas; Caraffini, Fabio; Minku, Leandro L. L.; Kononova, Anna V. V.
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An Efficient Contesting Procedure for AutoML Optimization
errIEEE ACCESS
IF3.6
err2022-01-01
err4
errOAAI
errNguyen, Duc Anh; Kononova, Anna V.; Menzel, Stefan; Sendhoff, Bernhard; Back, Thomas
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Advances in computational intelligence (UKCI 2012)
errSOFT COMPUTING
IF2.5
err2013-10-20
err0
errOAAI
errKononova, Anna V.; De Wilde, Philippe; Coghill, George M.
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Research Directions

The data has not been retrieved yet.
Co-authors
Cooperation Journals
T
Thomas Bäck
H-index: 54 · Papers: 685
J
Johan H. M. Frijns
H-index: 50 · Papers: 282
B
Bernhard Sendhoff
H-index: 45 · Papers: 258
J
Jeroen J. Briaire
H-index: 38 · Papers: 173
F
Fayin Ye
H-index: 38 · Papers: 122
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