Istraživači

• Izv. prof. dr. sc. Ivan Štajduhar

• Doc. dr. sc. Goran Mauša

• Doc. dr. sc. Jonatan Lerga

• Franko Hržić, doktorand

• Teo Manojlović, doktorand

Projekti

• “Development of machine-learning-based techniques for illness and injury detection in medical images”, University of Rijeka grant uniri-tehnic-18-15 (2019-2022).

• “Computer-aided digital analysis and classification of signals”, University of Rijeka grant uniri-tehnic-18-17 (2019-2022).

• "A network for gravitational waves, geophysics and machine learning", COST Action CA17137 (2018-2022).

• "Adapting multi-objective genetic programming for solving complex combinatorial problems", University of Rijeka grant 18.10.2.1.01 (2018-2019).

• "An empirical comparison of machine learning based approaches for code smell detection", bilateral project in cooperation with the Information Systems Laboratory (M. Heričko), Maribor, Slovenia (2018-2019).

• “Thorax motion supervision in radiotherapy using machine learning techniques”, bilateral project in cooperation with the Medical Physics Group (R. Jeraj) at the Faculty of Mathematics and Physics, Ljubljana, Slovenia (2018-2019).

• "RadiologyNet: Machine Learning for Knowledge Transfer”, University of Rijeka grant 16.09.2.2.05 (2017).

• “Implementation of Time-Frequency and other Advanced Algorithms to Biomedical Signal Analysis”, University of Rijeka grant 16.09.2.2.04 (2017).

• "Automatic Detection of Knee Ligament Injury from Magnetic Resonance Scans”, The Scientific & Technological Research Council of Turkey (TUBITAK), in collaboration with the Computer Vision and Pattern Analysis Laboratory (VPALAB), Sabanci University, Istanbul, Turkey (2015).

• “Analysis and innovative approaches to developing, managing and applying complex software systems”, University of Rijeka grant 13.09.2.2.16 (2014-2018).

• “Evolving Software Systems: Analysis and Innovative Approaches for Smart Management”, CSF research project 7945 (2015-2018).

Publikacije

Poglavlja u knjigama

• Sucic, V.; Lerga, J.; Rankine, L.; Boashash, B.: Components Extraction from TFDs for Multicomponent Signals IF Estimation, B. Boashash, ed., Time-Frequency Signal Analysis and Processing: A Comprehensive Review, 2nd ed., Academic Press, 2015, ch. 10.6, pp. 566-573. In press.

Radovi u časopisima

• A. Skoki, S. Ljubić, J. Lerga, I. Štajduhar. Automatic Music Transcription for Traditional Woodwind Instruments Sopele, In Press, 2019.
  Pattern Recognition Letters:

• 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

Radovi na znanstvenim skupovima

• Babić Grbac, S.; Galinac Grbac, T.; Lerga, J.: Community Structure of a Complex Software-System in Evolution, 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018, Opatija, Croatia, May 2018, pp. 1467-1471.

• Lerga, J.; Saulig, N.; Lerga, R.; Štajduhar, I.: TFD Thresholding In Estimating The Number of EEG Components And The Dominant IF Using The Short-Term Rényi Entropy, 10th International Symposium on Image and Signal Processing and Analysis - ISPA 2017, Ljubljana, Slovenia, September 2017, pp. 80-85.

• Saulig, N.; Milanović, Ž.; Lerga, J.; Griparić, K.: On the Selection of the Proper Number of Classes in TFD Segmentation for Extraction of Useful Information Content from Noisy Signals, 3rd International Conference on Smart and Sustainable Technologies, Splitech 2018, Split, Croatia, June 2018, pp. 1-5.

• Lerga, J.; Saulig, N.:, Mozetič, V.; Lerga, R.: Number of EEG Signal Components Estimated Using the Short-Term Renyi Entropy, 1st International Multidisciplinary Conference on Computer and Energy Science, SpliTech 2016, Split, Croatia, July 2016, pp. 1-6.

• I. Štajduhar, G. Mauša, Using String Similarity Metrics for Automated Grading of SQL Statements, In Proceedings of MIPRO CIS - Intelligent Systems Conference, 2015, 1497-1502

• T. Manojlović, I. Štajduhar, Predicting Stock Market Trends Using Random Forests: A Sample of the Zagreb Stock Exchange, In Proceedings of MIPRO CIS - Intelligent Systems Conference, 2015, Pages 1436-1440

• I. Petrović, P. Perković, I. Štajduhar, A Profile- and Community-Driven Book Recommender System, In Proceedings of MIPRO CTI - Telecommunications & Information Conference, 2015, Pages 724-728

• I. Pavković, I. Štajduhar, Semantic Approach to Accommodation & Booking Related Web Services, In Proceedings of MIPRO CTI - Telecommunications & Information Conference, 2015, Pages 459-464

• G. Mauša, P. Perković, T. Galinac Grbac, I. Štajduhar, Techniques for Bug–Code Linking, in Proceedings of the Third Workshop on Software Quality Analysis, Monitoring, Improvement and Applications (SQAMIA 2014), Lovran, Croatia, September 19-22, 2014, Pages 47-55

• Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th International Congress of Food Technologists, Biotechnologists and Nutritionists, Opatija, Croatia, October 2014, pp. 181-181.

• Rešetar, D.; Marchetti-Deschmann, M.; Allmaier, G.; Lerga, J.; Peter Katalinić, J.; Kraljević Pavelić, S.: Direct MALDI-TOF Wine Fingerprinting Protocol for Assesment of White Wine Authenticity, 8th Summer Course for Mass Spectrometry in Biotechnology and Medicine, Dubrovnik, Croatia, July 2014.

• Volarić, I.; Lerga, J.; Sucic, V.; Orovic, I.; Stankovic S.: Modification of the ICI Rule Applied to Signal Denoising, International Conference on Innovative Technologies (IN-TECH 2012), Rijeka, Croatia, September 2012, pp. 97-101.

• Rubeša, G.; Antulov, R.; Ruzic Barsic, A.; Lerga, J.; Miletic, D.: The Relationship Between Gray Matter Changes in Schizophrenia Patients and the Number of Psychotic Episodes, 19th European Congress of Psychiatry, Vienna, Austria, March 2011, pp. 952-952.

• Grbac, E.; Lerga, J.; Sucic, V.: Video Denoising Using the ICI Method, International Conference on Innovative Technologies (IN-TECH 2011), Bratislava, Slovakia, September 2011, pp. 182-186.

• Lerga, J.; Sucic; V.; Boashash, B.: An Improved Method for Nonstationary Signals Components Extraction Based on the ICI Rule, 7th International Workshop on Systems, Signal Processing and their Applications (WoSSPA 2011), Tipaza, Algeria, May 2011, pp. 307-310.

• Ruzic Barsic, A.; Antulov, R.; Lerga, J.; Rubesa, G.; Miletic, D.: Gray Matter Changes In Patients With Schizophrenia: A Voxel-Based Morphometry Study, V Congress of Croatian Society of Radiology with International Participations, Opatija, Croatia, October 2010, pp. 58-58.

• Lerga, J.; Sucic, V.: An instantaneous frequency estimation method based on the improved sliding pair-wise ICI rule, 10th International Conference on Information Sciences Signal Processing and their Applications (ISSPA 2010), Kuala Lumpur, Malaysia, May 2010, pp. 161-164.

• Saulig, N.; Sucic, V.; Lerga, J.: The Wigner-Ville Distribution Masking Method for an Interference Free Signal Time-Frequency Representation, International Conference on Innovative Technologies (IN-TECH 2010), Prag, Czech Republic, September 2010, pp. 495-498.

• Lerga, J.; Sucic, V.:, Sersic D.: Image Denoising Based on the One-Dimensional LPA-RICI Method, 51st International Symposium ELMAR-2009, Zadar, Croatia, September 2009, pp. 57-60.

• Lerga, J.; Sucic, V.:, Sersic D.: Performance Analysis of the LPA-RICI Denoising Method, 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009), Salzburg, Austria, September 2009, pp. 28-33.

• I. Štajduhar, I. Bratko, Likelihood based Classification in Bayesian Networks, In Proceedings of The IASTED International Conference on Artificial Intelligence and Applications, 25th IASTED International Multi-Conference on APPLIED INFORMATICS, Innsbruck, Austria, February 12-14, 2007, Pages 335-340

• I. Štajduhar, N. Stojković, Inducing Decision Trees From Reduced Datasets, Annals of DAAM for 2005 & Proceedings of the 16th International DAAAM Symposium, Opatija, Croatia, October 19-22, 2005, Pages 357-358

• M. Vrankić, D. Seršić, I. Štajduhar, Lossy Image Reconstruction Using Adaptive Wavelet Filter Bank, In Proceedings of the Fifth IASTED International Conference on Signal and Image Processing (SIP 2003), Honolulu, Hawaii, USA, August 13-15, 2003, Pages 235-242

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