Laboratorij za umjetnu inteligenciju



  • Prof. dr. sc. Ivan Štajduhar

  • Doc. dr. sc. Goran Mauša

  • Izv. prof. dr. sc. Jonatan Lerga

  • Franko Hržić, doktorand

  • Teo Manojlović, doktorand

  • Arian Skoki, doktorand

  • Mateja Napravnik, doktorand

  • Robert Baždarić, poslijedoktorand


Radovi u časopisima

  • M. Njirjak, E. Otović, D. Jozinović, J. Lerga, G. Mauša, A. Michelini, I. Štajduhar. The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data. Volume 10 (6), 965, 2022.
    Mathematics: WoS JCR Q1, Scimago Q2, impact factor 2.258

  • E. Otović, M. Njirjak, D. Jozinović, G. Mauša, A. Michelini, I. Štajduhar. Intra-domain and cross-domain transfer learning for time series data – How transferable are the features?, Vol. 239, 107976, 2022.
    Knowledge-Based Systems: WoS JCR Q1, Scimago Q1, impact factor 8.038

  • D. Jozinović, A. Lomax, I. Štajduhar, A. Michelini. Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data, Vol. 229, Issue 1, Pages 704-718.
    Geophysical Journal International: WoS JCR Q2, Scimago Q1, impact factor 2.934

  • F. Hržić, M. Janisch, I. Štajduhar, J. Lerga, E. Sorantin, S. Tschauner. Modeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs, Vol. 9, Issue 24, 3227, 2021.
    Mathematics: WoS JCR Q1, Scimago Q2, impact factor 2.258

  • F. Hržić, I. Žužić, S. Tschauner, I. Štajduhar. Cast suppression in radiographs by generative adversarial networks, Vol 28, Issue 12, pp. 2687-2694, 2021.
    Journal of the American Medical Informatics Association: WoS JCR Q1, Scimago Q1, impact factor 4.497

  • T. Manojlović, I. Štajduhar. Deep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images, Vol. 11, Issue 10, 1920, 2021.
    Diagnostics: WoS JCR Q2, Scimago Q3, impact factor 3.706

  • F. Nikolić, I. Štajduhar, M. Čanađija. Casting Microstructure Inspection Using Computer Vision: Dendrite Spacing in Aluminum Alloys, Volume 11, Issue 5, 756, 2021.
    Metals: WoS JCR Q2, Scimago Q1, impact factor 2.351

  • S. Ljubic, F. Hržić, A. Salkanovic, I. Štajduhar. Augmenting Around-Device Interaction by Geomagnetic Field Built-in Sensor Utilization, Vol. 21, Issue 9, 3087, 2021.
    Sensors: WoS JCR Q1, Scimago Q2, impact factor 3.275

  • F. Hržić, S. Tschauner, E. Sorantin, I. Štajduhar. XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis, Vol. 132, pp. 104300:1-12, 2021.
    Computers in biology and medicine: WoS JCR Q1, Scimago Q2, impact factor 3.434

  • B. Petrovska, E. Zdravevski, P. Lameski, R. Corizzo, I. Štajduhar, J. Lerga. Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification, Vol. 20, Issue 14, 3906, 2020.
    Sensors: WoS JCR Q1, Scimago Q2, impact factor 3.275

  • D. Jozinović, A. Lomax, I. Štajduhar, A. Michelini. Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network, Vol. 222, Issue 2, Pages 1379-1389, 2020.
    Geophysical journal international: WoS JCR Q2, Scimago Q1, impact factor 2.777

  • I. Krsnik, G. Glavaš, M. Krsnik, D. Miletić, I. Štajduhar. Automatic Annotation of Narrative Radiology Reports, Vol. 10 (4), 196, 2020.
    Diagnostics: WoS JCR Q1, Scimago Q2, impact factor 3.110

  • G.M. Jadav, J.  Lerga, I. Štajduhar. Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy, Vol. 2020, Issue 1, Pages 1-18, 2020.
    EURASIP Journal on Advances in Signal Processing: WoS JCR Q3, Scimago Q2, impact factor 1.749

  • A. Skoki, S. Ljubić, J. Lerga, I. Štajduhar. Automatic Music Transcription for Traditional Woodwind Instruments Sopele, Volume 128, Pages 340-347, 2019.
    Pattern Recognition Letters:WoS JCR Q2, Scimago Q1, impact factor 2.810

  • D. Kalafatovic, G. Mauša, T. Todorovski, E. Giralt. Algorithm-supported, mass and sequence diversity-oriented random peptide library design, Vol. 11, 11:25, pp. 1 – 15, 2019.
    Journal of Cheminformatics: Q1 (JCR), Q1 (WoS), impact factor 3.893

  • Hržić, F.; Štajduhar, I.; Tschauner, S.; Sorantin, E., Lerga, J.: Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection, vol. 21, no. 4, pp. 338:1-18, 2019.
    Entropy: Q2 (JCR), Q2 (WoS), impact factor 2.305

  • Kirinčić, V.; Čeperić, E.; Vlahinić, S.; Lerga, J.: Support Vector Machine State Estimation, Applied Artificial Intelligence, vol. , no. , pp. , 2019.
    Applied Artificial Intelligence: Q3 (JCR), Q4 (WoS), impact factor 0.587

  • Lerga, J.; Mandić, I.; Peić, H.; Brščić, D.: An adaptive method based on the improved LPA-ICI algorithm for MRI enhancement, The Imaging Science Journal, vol. 66, no. 6, pp. 372-381, 2018.
    The Imaging Science Journal: Q2 (JCR), Q4 (WoS), impact factor 0.366

  • Mandić, I.; Peić, H.; Lerga, J.; Štajduhar, I.: Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm, Journal of Imaging, vol. 4, no. 2, pps. 15, 2018.
    Journal of Imaging: WoS CC

  • Lerga, J.; Kirinčić, V.; Franković, D.; Štajduhar, I.: Adaptive State Estimator With Intersection of Confidence Intervals Based Preprocessing, International Journal of Electrical Power & Energy Systems, vol. 102, pp. 413-420, 2018.
    International Journal of Electrical Power & Energy Systems: Q1 (JCR), Q1 (WoS), impact factor 3.610

  • Lerga, J.; Grbac, E.; Sucic, V.; Saulig, N.: Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms, Tehnički vjesnik, vol. 25, no. suppl. 1, pp. 1-6, 2018. 
    Tehnički vjesnik: Q2 (JCR), Q4 (WoS), impact factor 0.686

  • G. Mauša, T. Galinac Grbac. Co-evolutionary Multi-Population Genetic Programming for Classification in Software Defect Prediction: an Empirical Case Study, Vol. 55, pp. 331 – 351, 2017.
    Applied soft computing: Q1 (JCR), Q1 (WoS), impact factor 3.907

  • Štajduhar, I.; Tomić, M.; Lerga, J.: Mirroring quasi-symmetric organ observations for reducing problem complexity, Expert Systems with Applications, vol. 85, pp. 318–334, 2017.
    Expert Systems with Applications: Q1 (JCR), Q1 (WoS), impact factor 3.768

  • Volaric, I.; Lerga, J.; Sucic, V.: A Fast Signal Denoising Algorithm Based on the LPA-ICI Method for Real-Time Applications, Circuits, Systems, and Signal Processing, vol. 36, pp. 4653-4669, 2017.
    Circuits, Systems, and Signal Processing: Q2 (JCR), Q2 (WoS), impact factor 1.998

  • Lerga, J.; Saulig, N.; Mozetič, V.: Algorithm Based On the Short-Term Rényi Entropy And IF Estimation For Noisy EEG Signals Analysis, Computers In Biology And Medicine, vol. 80, pp. 1-13, 2017.
    Computers In Biology And Medicine: Q2 (JCR), Q2 (WoS), impact factor 2.115

  • I. Štajduhar, M. Mamula, D. Miletić, G. Unal, Semi-automated detection of anterior cruciate ligament injury from MRI, Volume 140, Pages 151–164, 2017.
    Computer Methods and Programs in Biomedicine: Q1 (JCR), Q1 (WoS), impact factor 2.674

  • Šegon, G.; Lerga, J.; Sucic, V.: Improved LPA-ICI-Based Estimators Embedded in a Signal Denoising Virtual Instrument, Signal, Image and Video Processing, vol. 11, no. 2, pp. 211-217, 2017.
    Signal, Image and Video Processing: Q2 (JCR), Q3 (WoS), impact factor 1.643

  • G. Mauša, T. Galinac Grbac, B. Dalbelo Bašić. A Systematic Data Collection Procedure for Software Defect Prediction, Vol. 13 (1), 2016, pp. 173–197, 2016.
    Computer Science and Information Systems Journal

  • Bujak M; Ratkaj I.; Markova-Car E.; Jurisic D.; Horvatic A.; Vucinic S.; Lerga J.; Baus Loncar M.; Pavelic K.; Kraljevic Pavelic S.: Inflammatory Gene Expression Upon TGF-b1-Induced p38 Activationin Primary Dupuytren’s Disease Fibroblasts, Frontiers in Molecular Biosciences, vol. 2; pp. 1-9, 2015.

  • Lerga, J.; Grbac E.; Sucic, V.: An ICI Based Algorithm for Fast Denoising of Video Signals, Automatika, vol. 55, no. 3, pp. 351-358, 2014. 
    Automatika: Q3 (JCR), Q4 (WoS), impact factor 0.307

  • Sucic, V.; Lerga, J.; Boashash, B.: Multicomponent Noisy Signal Adaptive Instantaneous Frequency Estimation Using Components Time Support Information, IET Signal Processing, vol. 8, no. 3, pp. 277-284, 2014.
    IET Signal Processing: Q2 (JCR), Q3 (WoS), impact factor 1.495

  • Lerga, J.; Franusic, M.; Sucic, V.: Parameters Analysis for the Time-Varying Automatically Adjusted LPA Based Estimators, Journal of Automation and Control Engineering, vol. 2, no. 3; pp. 203-208, 2014.

  • Sucic, V.; Lerga, J.; Vrankic, M.: Adaptive Filter Support Selection for Signal Denoising Based on the Improved ICI Rule, Digital Signal Processing, vol. 23, no. 1, pp. 65-74, 2013. 
    Digital Signal Processing: Q1 (JCR), Q2 (WoS), impact factor 1.495

  • I. Štajduhar, B. Dalbelo Bašić, Uncensoring censored data for machine learning: A likelihood-based approach, Volume 39, Issue 8, 2012, Pages 7226-7234
    Expert Systems with Applications: Q1 (JCR), Q1 (WoS), impact factor 3.768

  • Lerga, J.; Sucic, V.; Grbac, E.: An Adaptive Method for Video Denoising Based on the ICI Rule, Engineering Review, vol. 32, no. 1; pp. 33-40, 2012.

  • Lerga, J.; Sucic, V.; Vrankić, M.: Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule, Informatica, vol. 22, no. 3, pp. 383-394, 2011.
    Informatica: Q2 (JCR), Q1 (WoS), impact factor 1.627

  • Lerga J.; Sucic, V.; Boashash, B.: An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR, EURASIP Journal on Advances in Signal Processing, vol. 2011, pp. 1-16, 2011. 
    EURASIP Journal on Advances in Signal Processing: Q2 (JCR), Q3 (WoS), impact factor 0.811

  • I. Štajduhar, B. Dalbelo Bašić, Learning Bayesian networks from survival data using weighting censored instances, Volume 43, Issue 4, 2010, Pages 613-622
    Journal of Biomedical Informatics: Q1 (JCR), Q1 (WoS), 2.882

  • Lerga, J.; Sucic, V.: Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule, IEEE Signal Processing Letters, vol. 16, no. 11, pp. 953-956, 2009.
    IEEE Signal Processing Letters: Q1 (JCR), Q2 (WoS), impact factor 1.173

  • I. Štajduhar, B. Dalbelo Bašić, N. Bogunović, Impact of censoring on learning Bayesian networks in survival modelling, Volume 47, Issue 3, 2009, Pages 199-217
    Artificial Intelligence in Medicine: Q1 (JCR), Q1 (WoS), impact factor 2.879

  • Lerga, J.; Vrankic, M.; Sucic, V.: A Signal Denoising Method Based on the Improved ICI Rule, IEEE Signal Processing Letters, vol. 15, pp. 601-604, 2008.
    IEEE Signal Processing Letters: Q1 (JCR), Q2 (WoS), impact factor 1.203

Nastavna oprema


Meta 2 AR development Kit


Dobot Magician Educational + extras




Bonaca GPU workstation


Istraživačka oprema



Maestral GPU workstation (Gigabyte G492-Z51 HPC)


Široko NAS (Supermicro CSE-847 X10DRI-T4+)





SEIPlab old webpage (link)

Voditelj prof. dr. sc. Ivan Štajduhar person.image.file.alt
+385 51 651448, int. 2448 (Ured)