Pregled po projektu: Mreža za gravitacijske valove, geofiziku i strojno učenje (G2NET) (MB: COST-CA17137)
Pronađeno 9 radova
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1.Saulig, Nicoletta; Milovanović, Miloš; Miličić, Siniša; Lerga, JonatanSignal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations // IEEE transactions on signal processing, 70 (2022), 5504-5517 doi:10.1109/TSP.2022.3223575 (međunarodna recenzija, članak, znanstveni)
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2.Njirjak, Marko; Otović, Erik; Jozinović, Dario; Lerga, Jonatan; Mauša, Goran; Michelini, Alberto; Štajduhar, IvanThe Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data // Mathematics, 10 (2022), 6; 965, 17 doi:10.3390/math10060965 (međunarodna recenzija, članak, znanstveni)
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3.Lopac, NikolaDetection of Gravitational-Wave Signals from Time- Frequency Distributions Using Deep Learning, 2022., doktorska disertacija, Tehnički fakultet, Rijeka
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4.Selimović, Denis; Lerga, Jonatan; Kovács, Péter; Prpić-Oršić, JasnaImproved parametrized multiple window spectrogram with application in ship navigation systems // Digital Signal Processing, 126 (2022), 103491, 14 doi:10.1016/j.dsp.2022.103491 (međunarodna recenzija, članak, znanstveni)
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5.Otović, Erik; Njirjak, Marko; Jozinović, Dario; Mauša, Goran; Michelini, Alberto; S̆tajduhar, IvanIntra-domain and cross-domain transfer learning for time series data – How transferable are the features? // Knowledge-Based Systems, 239 (2021), 107976, 19 doi:10.1016/j.knosys.2021.107976 (međunarodna recenzija, članak, znanstveni)
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6.Lopac, Nikola; Hržić, Franko; Petrijevčanin Vuksanović, Irena; Lerga, JonatanDetection of Non-Stationary GW Signals in High Noise from Cohen’s Class of Time-Frequency Representations Using Deep Learning // IEEE access, 10 (2021), 2408-2428 doi:10.1109/ACCESS.2021.3139850 (međunarodna recenzija, članak, znanstveni)
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7.Vranković Lacković, Ana; Ipšić, Ivo; Lerga, JonatanEntropy-Based Extraction of Useful Content from Spectrograms of Noisy Speech Signals // Proceedings of Elmar-2021 / Muštra, Mario ; Vuković, Josip ; Zovko-Cihlar, Branka (ur.).
Zagreb: Croatian Society Electronics in Marine - ELMAR, 2021. str. 83-86 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
8.Lopac, Nikola; Lerga, Jonatan; Saulig, Nicoletta; Stanković, Ljubiša; Daković, MilošOn Optimal Parameters for ICI-Based Adaptive Filtering Applied to the GWs in High Noise // Smart and Sustainable Technologies (SpliTech), 2021 / Šolić, Petar ; Nižetić, Sandro ; Rodrigues, Joel J. P. C. ; López-de-Ipiña González-de-Artaza, Diego ; Perković, Toni ; Catarinucci, Luca ; Patrono, Luigi (ur.).
Split: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, 2021. str. 1-6 doi:10.23919/SpliTech52315.2021.9566364 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
9.Ilić, Velimir; Bertolini, Alessandro; Bonsignorio, Fabio; Jozinović, Dario; Bulik, Tomasz; Štajduhar, Ivan; Secrieru, Iulian; Koley, SoumenAmbient seismic noise suppression in COST action G2Net // EGU General Assembly 2020
Beč, Austrija; online, 2020. str. - doi:10.5194/egusphere-egu2020-22165 (predavanje, sažetak, znanstveni)
