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Home/Authors/Artur Janicki

Artur Janicki

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Sound×1HCI×1ML×1Crypto×1

Frequent co-authors

Stanisław Ciszkiewicz1×
Krzysztof Kotowski1×
Ramez Shendy1×
Jakub Nalepa1×
Agata Kaczmarek1×
Dawid Płudowski1×

Research Timeline

2026
Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition

The paper details a data science competition focused on identifying hidden backdoor triggers (trojan horses) in deep forecasting models used for critical space operations.

Improving the performance of an ASV system using hybrid speech features

This paper explores the use of hybrid feature sets to improve the performance of Automatic Speaker Verification (ASV) systems under noisy conditions, using Mel-Frequency Cepstral Coefficients (MFCC), Constant Q Cepstral Coefficients (CQCC), and the RAB descriptor.

Highlighted terms show continued research focus across papers

Papers

cs.SDcs.HCEmpiricalRecentJul 22, 2026

Improving the performance of an ASV system using hybrid speech features

Stanisław Ciszkiewicz, Artur Janicki

This paper explores the use of hybrid feature sets to improve the performance of Automatic Speaker Verification (ASV) systems under noisy conditions, using Mel-Frequency Cepstral Coefficients (MFCC),…

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cs.LGcs.CRRecent
Mar 20, 2026

Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition

Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa, Agata Kaczmarek +9 more

The paper details a data science competition focused on identifying hidden backdoor triggers (trojan horses) in deep forecasting models used for critical space operations.

View →