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Jonatan Lerga
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2020 – today
- 2024
- [j30]Anna Maria Mihel
, Jonatan Lerga
Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches. Environ. Model. Softw. 176: 106033 (2024) - [j29]Arian Skoki
Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer. Sensors 24(5): 1700 (2024) - [c10]Klea Elmazi, Donald Elmazi, Jonatan Lerga:
Federated Virtual Sensors for IoT: Applying Machine Learning Algorithms Through Federated Averaging and Distributed Intelligence. BWCCA 2024: 141-151 - [c9]Anna Maria Mihel, Spela Pecnik, Grega Vrbancic, Jonatan Lerga, Nino Krvavica:
Employing Feature Engineering for River Stage Forecasting to Improve Hybrid Model Performance. SoftCOM 2024: 1-6 - 2023
- [c8]Erik Otovic, Jonatan Lerga, Daniela Kalafatovic
Neuroevolution for the Sustainable Evolution of Neural Networks. MIPRO 2023: 1045-1051 - [c7]Karlo Graf, Jonatan Lerga, Branka Dobras:
Data Collection and Hiding Capabilities of Android Stalkerware. SISY 2023: 389-394 - [i3]Denis Selimovic, Franko Hrzic, Jasna Prpic-Orsic, Jonatan Lerga:
Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks. CoRR abs/2301.08949 (2023) - 2022
- [j28]Boris Gasparovic
Deep Learning Approach For Objects Detection in Underwater Pipeline Images. Appl. Artif. Intell. 36(1) (2022) - [j27]Nikola Lopac
Detection of Non-Stationary GW Signals in High Noise From Cohen's Class of Time-Frequency Representations Using Deep Learning. IEEE Access 10: 2408-2428 (2022) - [j26]Denis Selimovic
Improved parametrized multiple window spectrogram with application in ship navigation systems. Digit. Signal Process. 126: 103491 (2022) - [j25]Isidora Stankovic
Image denoising using RANSAC and compressive sensing. Multim. Tools Appl. 81(30): 44311-44333 (2022) - [j24]David Bacnar
Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen's, Affine, and Reassigned Classes. Sensors 22(10): 3727 (2022) - [j23]Nicoletta Saulig
Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals. Sensors 22(21): 8251 (2022) - [j22]Nicoletta Saulig
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations. IEEE Trans. Signal Process. 70: 5504-5517 (2022) - [c6]David Bacnar
An Insight Into Communication Technologies Utilized in Smart Metering Systems. MIPRO 2022: 24-29 - [i2]Arian Skoki, Jonatan Lerga, Ivan Stajduhar:
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data. CoRR abs/2206.13222 (2022) - 2021
- [j21]Ljubisa Stankovic
RANSAC-Based Signal Denoising Using Compressive Sensing. Circuits Syst. Signal Process. 40(8): 3907-3928 (2021) - [j20]Alen Salkanovic
Analysis of Cryptography Algorithms Implemented in Android Mobile Application. Inf. Technol. Control. 50(4): 786-807 (2021) - [c5]Arian Skoki, Jonatan Lerga, Ivan Stajduhar:
ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data. MIPRO 2021: 1038-1043 - 2020
- [j19]Guruprasad Madhale Jadav
Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy. EURASIP J. Adv. Signal Process. 2020(1): 7 (2020) - [j18]Ana Vrankovic, Jonatan Lerga, Nicoletta Saulig:
A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures. EURASIP J. Adv. Signal Process. 2020(1): 18 (2020) - [j17]Biserka Petrovska
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. Sensors 20(14): 3906 (2020) - [j16]Nikola Lopac
Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule. Sensors 20(23): 6920 (2020) - [i1]Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic:
RANSAC-Based Signal Denoising Using Compressive Sensing. CoRR abs/2003.12289 (2020)
2010 – 2019
- 2019
- [j15]Vedran Kirincic, Ervin Ceperic, Sasa Vlahinic, Jonatan Lerga
Support Vector Machine State Estimation. Appl. Artif. Intell. 33(6): 517-530 (2019) - [j14]Franko Hrzic
Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection. Entropy 21(4): 338 (2019) - [j13]Arian Skoki, Sandi Ljubic
Automatic music transcription for traditional woodwind instruments sopele. Pattern Recognit. Lett. 128: 340-347 (2019) - [j12]Nicoletta Saulig
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs' Coefficients. IEEE Trans. Signal Process. 67(12): 3154-3167 (2019) - [c4]Nicoletta Saulig, Jonatan Lerga
Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions. ISPA 2019: 329-334 - 2018
- [j11]Ivica Mandic, Hajdi Peic, Jonatan Lerga
Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm. J. Imaging 4(2): 34 (2018) - [c3]Sanja Grbac Babic, Tihana Galinac Grbac
Community structure of a complex software-system in evolution. MIPRO 2018: 1467-1471 - 2017
- [j10]Jonatan Lerga
Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis. Comput. Biol. Medicine 80: 1-13 (2017) - [j9]Ivan Volaric, Jonatan Lerga
A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications. Circuits Syst. Signal Process. 36(11): 4653-4669 (2017) - [j8]Ivan Stajduhar
Mirroring quasi-symmetric organ observations for reducing problem complexity. Expert Syst. Appl. 85: 318-334 (2017) - [j7]Gordan Segon, Jonatan Lerga
Improved LPA-ICI-based estimators embedded in a signal denoising virtual instrument. Signal Image Video Process. 11(2): 211-218 (2017) - [c2]Jonatan Lerga
TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy. ISPA 2017: 80-85 - 2014
- [j6]Victor Sucic
Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information. IET Signal Process. 8(3): 277-284 (2014) - 2013
- [j5]Victor Sucic
Adaptive filter support selection for signal denoising based on the improved ICI rule. Digit. Signal Process. 23(1): 65-74 (2013) - 2011
- [j4]Jonatan Lerga
An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR. EURASIP J. Adv. Signal Process. 2011 (2011) - [j3]Jonatan Lerga, Victor Sucic, Miroslav Vrankic:
Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule. Informatica 22(3): 383-394 (2011) - 2010
- [c1]Jonatan Lerga
An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule. ISSPA 2010: 161-164
2000 – 2009
- 2009
- [j2]Jonatan Lerga
Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule. IEEE Signal Process. Lett. 16(11): 953-956 (2009) - 2008
- [j1]Jonatan Lerga
A Signal Denoising Method Based on the Improved ICI Rule. IEEE Signal Process. Lett. 15: 601-604 (2008)
Coauthor Index
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