A Signal Denoising Method Based on the Improved ICI Rule. - Jonatan Lerga; Miroslav Vrankic; Victor Sucic (IEEE Signal Process. Lett., 2008)

Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule. - Jonatan Lerga; Victor Sucic (IEEE Signal Process. Lett., 2009)

An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule. - Jonatan Lerga; Victor Sucic (ISSPA, 2010)

An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR. - Jonatan Lerga; Victor Sucic; Boualem Boashash (EURASIP J. Adv. Signal Process., 2011)

Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule. - Jonatan Lerga; Victor Sucic; Miroslav Vrankic (Informatica, 2011)

Adaptive filter support selection for signal denoising based on the improved ICI rule. - Victor Sucic; Jonatan Lerga; Miroslav Vrankic (Digit. Signal Process., 2013)

Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information. - Victor Sucic; Jonatan Lerga; Boualem Boashash (IET Signal Process., 2014)

TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy. - Jonatan Lerga; Nicoletta Saulig; Rebeka Lerga; Ivan Stajduhar (ISPA, 2017)

Algorithm based on the short-term Rényi entropy and IF estimation for noisy EEG signals analysis. - Jonatan Lerga; Nicoletta Saulig; Vladimir Mozetic (Comput. Biol. Medicine, 2017)

A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications. - Ivan Volaric; Jonatan Lerga; Victor Sucic (Circuits Syst. Signal Process., 2017)

Mirroring quasi-symmetric organ observations for reducing problem complexity. - Ivan Stajduhar; Mladen Tomic; Jonatan Lerga (Expert Syst. Appl., 2017)

Improved LPA-ICI-based estimators embedded in a signal denoising virtual instrument. - Gordan Segon; Jonatan Lerga; Victor Sucic (Signal Image Video Process., 2017)

Community structure of a complex software-system in evolution. - Sanja Grbac Babic; Tihana Galinac Grbac; Jonatan Lerga (MIPRO, 2018)

Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm. - Ivica Mandic; Hajdi Peic; Jonatan Lerga; Ivan Stajduhar (J. Imaging, 2018)

Adaptive Thresholding in Extracting Useful Information From Noisy Time- Frequency Distributions. - Nicoletta Saulig; Jonatan Lerga; Zlatko Baracskai; Milos Dakovic (ISPA, 2019)

Support Vector Machine State Estimation. - Vedran Kirincic; Ervin Ceperic; Sasa Vlahinic; Jonatan Lerga (Appl. Artif. Intell., 2019)

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection. - Franko Hrzic; Ivan Stajduhar; Sebastian Tschauner; Erich Sorantin; Jonatan Lerga (Entropy, 2019)

Automatic music transcription for traditional woodwind instruments sopele. - Arian Skoki; Sandi Ljubic; Jonatan Lerga; Ivan Stajduhar (Pattern Recognit. Lett., 2019)

Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs' Coefficients. - Nicoletta Saulig; Jonatan Lerga; Zeljka Milanovic; Cornel Ioana (IEEE Trans. Signal Process., 2019)

Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy. - Guruprasad Madhale Jadav; Jonatan Lerga; Ivan Stajduhar (EURASIP J. Adv. Signal Process., 2020)

A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures. - Ana Vrankovic; Jonatan Lerga; Nicoletta Saulig (EURASIP J. Adv. Signal Process., 2020)

Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of the Intersection of Confidence Intervals Rule. - Nikola Lopac; Jonatan Lerga; Elena Cuoco (Sensors, 2020)

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification. - Biserka Petrovska; Eftim Zdravevski; Petre Lameski; Roberto Corizzo; Ivan Stajduhar; Jonatan Lerga (Sensors, 2020)

ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data. - Arian Skoki; Jonatan Lerga; Ivan Stajduhar (MIPRO, 2021)

RANSAC-Based Signal Denoising Using Compressive Sensing. - Ljubisa Stankovic; Milos Brajovic; Isidora Stankovic; Jonatan Lerga; Milos Dakovic (Circuits Syst. Signal Process., 2021)

Analysis of Cryptography Algorithms Implemented in Android Mobile Application. - Alen Salkanovic; Sandi Ljubic; Ljubisa Stankovic; Jonatan Lerga (Inf. Technol. Control., 2021)

An Insight Into Communication Technologies Utilized in Smart Metering Systems. - David Bacnar; Lolita Leytner; Nino Stojkovic; Jonatan Lerga (MIPRO, 2022)

Detection of Non-Stationary GW Signals in High Noise From Cohen's Class of Time-Frequency Representations Using Deep Learning. - Nikola Lopac; Franko Hrzic; Irena Petrijevcanin Vuksanovic; Jonatan Lerga (IEEE Access, 2022)

Improved parametrized multiple window spectrogram with application in ship navigation systems. - Denis Selimovic; Jonatan Lerga; Péter Kovács 001; Jasna Prpic-Orsic (Digit. Signal Process., 2022)

Image denoising using RANSAC and compressive sensing. - Isidora Stankovic; Milos Brajovic; Jonatan Lerga; Milos Dakovic; Ljubisa Stankovic (Multim. Tools Appl., 2022)

Entropy-Based Concentration and Instantaneous Frequency of TFDs from Cohen's, Affine, and Reassigned Classes. - David Bacnar; Nicoletta Saulig; Irena Petrijevcanin Vuksanovic; Jonatan Lerga (Sensors, 2022)

Block-Adaptive Rényi Entropy-Based Denoising for Non-Stationary Signals. - Nicoletta Saulig; Jonatan Lerga; Sinisa Milicic; Zeljka Tomasovic (Sensors, 2022)

Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations. - Nicoletta Saulig; Milos Milovanovic; Sinisa Milicic; Jonatan Lerga (IEEE Trans. Signal Process., 2022)

Deep Learning Approach For Objects Detection in Underwater Pipeline Images. - Boris Gasparovic; Jonatan Lerga; Goran Mausa; Marina Ivasic-Kos (Appl. Artif. Intell., 2022)

Neuroevolution for the Sustainable Evolution of Neural Networks. - Erik Otovic; Jonatan Lerga; Daniela Kalafatovic; Goran Mausa (MIPRO, 2023)

Data Collection and Hiding Capabilities of Android Stalkerware. - Karlo Graf; Jonatan Lerga; Branka Dobras (SISY, 2023)

Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks. - Denis Selimovic; Franko Hrzic; Jasna Prpic-Orsic; Jonatan Lerga (CoRR, 2023)

Federated Virtual Sensors for IoT: Applying Machine Learning Algorithms Through Federated Averaging and Distributed Intelligence. - Klea Elmazi; Donald Elmazi; Jonatan Lerga (BWCCA, 2024)

Employing Feature Engineering for River Stage Forecasting to Improve Hybrid Model Performance. - Anna Maria Mihel; Spela Pecnik; Grega Vrbancic; Jonatan Lerga; Nino Krvavica (SoftCOM, 2024)

Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches. - Anna Maria Mihel; Jonatan Lerga; Nino Krvavica (Environ. Model. Softw., 2024)

Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer. - Arian Skoki; Boris Gasparovic; Stefan Ivic; Jonatan Lerga; Ivan Stajduhar (Sensors, 2024)

Adaptive Offloading in Federated Virtual Sensors for Efficient Resource Management in IoT Systems. - Klea Elmazi; Donald Elmazi; Jonatan Lerga (AINA (2), 2025)

Advancing Federated Virtual Sensors for IoT with Privacy Safeguards and Robustness to Adversarial Threats. - Klea Elmazi; Donald Elmazi; Jonatan Lerga (EIDWT, 2025)

Forecasting the trajectory of personal watercrafts using models based on recurrent neural networks. - Lucija Zuzic; Franko Hrzic; Jonatan Lerga (Expert Syst. Appl., 2025)

Digital Twin-driven federated learning and reinforcement learning-based offloading for energy-efficient distributed intelligence in IoT networks. - Klea Elmazi; Donald Elmazi; Jonatan Lerga (Internet Things, 2025)

A Bayesian and Markov chain approach to short-term and long-term personal watercraft trajectory forecasting. - Lucija Zuzic; Ivan Drazic; Loredana Simcic; Franko Hrzic; Jonatan Lerga (J. Frankl. Inst., 2025)