Ivan Štajduhar
Ivan Štajduhar
Professor, University of Rijeka Faculty of Engineering
Verified email at - Homepage
Cited by
Cited by
Rapid prediction of earthquake ground shaking intensity using raw waveform data and a convolutional neural network
D Jozinović, A Lomax, I Štajduhar, A Michelini
Geophysical Journal International 222 (2), 1379-1389, 2020
Deep learning for feature extraction in remote sensing: A case-study of aerial scene classification
B Petrovska, E Zdravevski, P Lameski, R Corizzo, I Štajduhar, J Lerga
Sensors 20 (14), 3906, 2020
Semi-automated detection of anterior cruciate ligament injury from MRI
I Štajduhar, M Mamula, D Miletić, G Uenal
Computer methods and programs in biomedicine 140, 151-164, 2017
Predicting Stock Market Trends Using Random Forests: A Sample of the Zagreb Stock Exchange
T Manojlović, I Štajduhar
38th International Convention MIPRO 2015, 2015
Impact of censoring on learning Bayesian networks in survival modelling
I Štajduhar, B Dalbelo-Bašić, N Bogunović
Artificial intelligence in medicine 47 (3), 199-217, 2009
Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data
D Jozinović, A Lomax, I Štajduhar, A Michelini
Geophysical Journal International 229 (1), 704-718, 2022
Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
E Otović, M Njirjak, D Jozinović, G Mauša, A Michelini, I Stajduhar
Knowledge-Based Systems 239, 107976, 2022
Learning Bayesian networks from survival data using weighting censored instances
I Štajduhar, B Dalbelo-Bašić
Journal of biomedical informatics 43 (4), 613-622, 2010
Local-entropy based approach for X-ray image segmentation and fracture detection
F Hržić, I Štajduhar, S Tschauner, E Sorantin, J Lerga
Entropy 21 (4), 338, 2019
Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy
G Madhale Jadav, J Lerga, I Štajduhar
EURASIP Journal on Advances in Signal Processing 2020, 1-18, 2020
Uncensoring censored data for machine learning: A likelihood-based approach
I Štajduhar, B Dalbelo-Bašić
Expert Systems with Applications 39 (8), 7226-7234, 2012
Denoising of X-ray Images Using the Adaptive Algorithm Based on the LPA-RICI Algorithm.
I Mandic, H Peic, J Lerga, I Stajduhar
J. Imaging 4 (2), 34, 2018
Casting defects detection in aluminum alloys using deep learning: A classification approach
F Nikolić, I Štajduhar, M Čanađija
International Journal of Metalcasting 17 (1), 386-398, 2023
A review of data-driven approaches and techniques for fault detection and diagnosis in HVAC systems
I Matetić, I Štajduhar, I Wolf, S Ljubic
Sensors 23 (1), 1, 2022
XAOM: A method for automatic alignment and orientation of radiographs for computer-aided medical diagnosis
F Hržić, S Tschauner, E Sorantin, I Štajduhar
Computers in Biology and Medicine 132, 104300, 2021
Fracture recognition in paediatric wrist radiographs: An object detection approach
F Hržić, S Tschauner, E Sorantin, I Štajduhar
Mathematics 10 (16), 2939, 2022
Using string similarity metrics for automated grading of SQL statements
I Štajduhar, G Mauša
2015 38th International Convention on Information and Communication …, 2015
Casting microstructure inspection using computer vision: dendrite spacing in aluminum alloys
F Nikolić, I Štajduhar, M Čanađija
Metals 11 (5), 756, 2021
Automatic annotation of narrative radiology reports
I Krsnik, G Glavaš, M Krsnik, D Miletić, I Štajduhar
Diagnostics 10 (4), 196, 2020
Automatic music transcription for traditional woodwind instruments sopele
A Skoki, S Ljubic, J Lerga, I Štajduhar
Pattern Recognition Letters 128, 340-347, 2019
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