Pregled po CROSBI profilu: Ivan Štajduhar (CROSBI Profil: 22106, MBZ: 264790, ORCID: 0000-0003-4758-7972)
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1.Matetić, Iva; Štajduhar, Ivan; Wolf, Igor; Ljubic, SandiA Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems // Sensors, 23 (2023), 1; 1, 37 doi:10.3390/s23010001 (međunarodna recenzija, članak, znanstveni)
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2.Manojlović, Teo; Tomanič, Tadej; Štajduhar, Ivan; Milanič, MatijaRapid extraction of skin physiological parameters from hyperspectral images using machine learning // Applied intelligence (Boston), - (2022), -; -, 21 doi:10.1007/s10489-022-04327-0 (međunarodna recenzija, članak, znanstveni)
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3.(Medical University of Graz, Graz, Austria) Mateja Napravnik; Robert Baždarić; Damir Miletić; Franko Hržić; Sebastian Tschauner; Mihaela Mamula; Ivan ŠtajduharUsing Autoencoders to Reduce Dimensionality of DICOM Metadata // Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Male, Maldivi, 2022. str. 1-6 doi:10.1109/ICECCME55909.2022.9988310 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
4.(Department of Radiology, Division of Pediatric Radiology, Medical University of Graz, Graz, Austria) Hrzic, Franko; Napravnik, Mateia; Bazdaric, Robert; Stajduhar, Ivan; Mamula, Mihaela; Miletic, Damir; Tschauner, SebastianEstimation of Missing Parameters for DICOM to 8-bit X-ray Image Export // Proc. of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
Male, Maldivi: IEEE, 2022. str. 1-6 doi:10.1109/iceccme55909.2022.9988674 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
5.Skoki, Arian; Rossi, Alessio; Cintia, Paolo; Pappalardo, Luca; Štajduhar, IvanExtended Energy-Expenditure Model in Soccer: Evaluating Player Performance in the Context of the Game // Sensors, 22 (2022), 9842, 16 doi:10.3390/s22249842 (međunarodna recenzija, članak, znanstveni)
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6.Franko HržićMachine learning models for detection of targeted features in pediatric medical X-ray images, 2022., doktorska disertacija, Tehnički fakultet, Zavod za računarstvo, Rijeka doi:/
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7.Frankić, MarinSustav za praćenje medicinskih podataka profesionalnih sportaša, 2022., diplomski rad, preddiplomski, Tehnički fakultet, Rijeka
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8.Tus, IvanaUsporedba gotovih modela za pronalaženje semantički sličnih medicinskih slika, 2022., diplomski rad, preddiplomski, Tehnički fakultet, Rijeka
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9.Milanič, Matija; Manojlović, Teo; Tomanič, Tadej; Štajduhar, IvanAnalysis of skin hyperspectral images by machine learning methods // APS March Meeting
Chicago, SAD, 2022. 2022APS..MARQ29003M, 1 (predavanje, međunarodna recenzija, sažetak, znanstveni) -
10.Sečen, KarloPretraživanje slika PACS sustava prema njihovom sadržaju, 2022., diplomski rad, preddiplomski, Tehnički fakultet, Rijeka
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11.Hržić, Franko; Tschauner, Sebastian; Sorantin, Erich; Štajduhar, IvanFracture Recognition in Paediatric Wrist Radiographs: An Object Detection Approach // Mathematics, 10 (2022), 16; 2939, 23 doi:10.3390/math10162939 (međunarodna recenzija, članak, znanstveni)
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12.Matetić, Iva; Štajduhar, Ivan; Wolf, Igor; Palaić, Darko; Ljubić, SandiData Visualization Tool for Smart Buildings HVAC Systems // ICR 2022: Proceedings of the ICR'22 International Conference on Innovations in Computing Research / Daimi, Kevin ; Al Sadoon, Abeer (ur.).
Cham, Switzerland: Springer, 2022. str. 444-453 doi:10.1007/978-3-031-14054-9_41 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
13.Košmerl, Valentina; Štajduhar, Ivan; Čanađija, MarkoPredicting stress–strain behavior of carbon nanotubes using neural networks // Neural computing and applications (2022) doi:10.1007/s00521-022-07430-y (međunarodna recenzija, prihvaćen)
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14.Nikolić, Filip; Štajduhar, Ivan; Čanađija, MarkoCasting Defects Detection in Aluminum Alloys Using Deep Learning: a Classification Approach // International Journal of Metalcasting, 16 (2022), 1-13 doi:10.1007/s40962-022-00777-x (međunarodna recenzija, članak, znanstveni)
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15.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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16.Košmerl, Valentina; Štajduhar, Ivan; Čanađija, MarkoCarbon nanotube stress-strain behavior prediction using convolutional neural networks // 33rd Nordic Seminar on Computational Mechanics
Jönköping, Švedska, 2021. str. 12-13 (predavanje, međunarodna recenzija, sažetak, znanstveni) -
17.Jozinović, Dario; Lomax, Anthony; Štajduhar, Ivan; Michelini, AlbertoTransfer learning: improving neural network based prediction of earthquake ground shaking for an area with insufficient training data // Geophysical journal international, 229 (2021), 1; 704-718 doi:10.1093/gji/ggab488 (međunarodna recenzija, članak, znanstveni)
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18.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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19.Špoljar, Darko; Štajduhar, Ivan; Lenac, Kristijan; Filjar, RenatoA Predictive Model of Multipath Effect Contribution to GNSS Positioning Error for GNSS- based Applications in Transport and Telecommunications // The Journal of CIEES, 1 (2021), 2; 7-13 doi:10.48149/jciees.2021.1.2.1 (međunarodna recenzija, članak, znanstveni)
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20.Hržić, Franko; Janisch, Michael; Štajduhar, Ivan; Lerga, Jonatan; Sorantin, Erich; Tschauner, SebastianModeling Uncertainty in Fracture Age Estimation from Pediatric Wrist Radiographs // Mathematics, 9 (2021), 24; 3227, 17 doi:10.3390/math9243227 (međunarodna recenzija, članak, znanstveni)
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21.Skoki, Arian; Lerga Jonatan; Štajduhar, IvanML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data // MIPRO
Opatija, 2021. str. 1199-1204 (predavanje, domaća recenzija, cjeloviti rad (in extenso), ostalo) -
22.Manojlović, Teo; Štajduhar, IvanDeep Semi-Supervised Algorithm for Learning Cluster-Oriented Representations of Medical Images Using Partially Observable DICOM Tags and Images // Diagnostics, 11 (2021), 10; 1920, 20 doi:10.3390/diagnostics11101920 (međunarodna recenzija, članak, znanstveni)
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23.Nikolić, Filip; Štajduhar, Ivan; Čanađija, MarkoDeep Learning for Casting Microstructure Inspection: A Convolutional Neural Network Approach // My First Conference 2021 – Book of Abstracts / Grbčić, Ana ; Lopac, Nikola ; Strabić, Marko ; Dugonjić-Jovančević, Sanja ; Franulović, Marina ; Vukelić, Goran (ur.).
Rijeka, 2021. str. 29-30 (predavanje, domaća recenzija, sažetak, znanstveni) -
24.Hržić, Franko; Žužić, Ivana; Tschauner, Sebastian; Štajduhar, IvanCast suppression in radiographs by generative adversarial networks // Journal of the american medical informatics association, 28 (2021), 12; 2687-2694 doi:10.1093/jamia/ocab192 (međunarodna recenzija, članak, znanstveni)
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25.Filipčić, KarloInterpretabilnost konvolucijskih neuronskih mreža nad klasifikacijskim problemima iz rendgenskih slika pomoću Grad-CAM metode, 2021., diplomski rad, diplomski, Rijeka