Ivan Štajduhar
Ivan Štajduhar
Associate Professor, University of Rijeka, Faculty of Engineering
Verified email at riteh.hr - Homepage
Title
Cited by
Cited by
Year
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
342009
Learning Bayesian networks from survival data using weighting censored instances
I Štajduhar, B Dalbelo-Bašić
Journal of biomedical informatics 43 (4), 613-622, 2010
292010
Semi-automated detection of anterior cruciate ligament injury from MRI
I Štajduhar, M Mamula, D Miletić, G Ünal
Computer methods and programs in biomedicine 140, 151-164, 2017
242017
Predicting Stock Market Trends Using Random Forests: A Sample of the Zagreb Stock Exchange
T Manojlović, I Štajduhar
38th International Convention MIPRO 2015, 2015
222015
Uncensoring censored data for machine learning: A likelihood-based approach
I Štajduhar, B Dalbelo-Bašić
Expert Systems with Applications 39 (8), 7226-7234, 2012
212012
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
162020
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
112019
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
112018
Denoising of X-ray images using the adaptive algorithm based on the LPA-RICI algorithm
I Mandić, H Peić, J Lerga, I Štajduhar
Journal of Imaging 4 (2), 34, 2018
112018
A Profile-and Community-Driven Book Recommender System
I Petrović, P Perković, I Štajduhar
38th International Convention MIPRO 2015, 2015
82015
Techniques for Bug–Code Linking
G Mauša, P Perković, T Galinac Grbac, I Štajduhar
Proceedings of SQAMIA 2014, 2014
82014
Using string similarity metrics for automated grading of SQL statements
I Štajduhar, G Mauša
2015 38th International Convention on Information and Communication …, 2015
72015
Adaptive filtering and analysis of EEG signals in the time-frequency domain based on the local entropy
GM Jadav, J Lerga, I Štajduhar
EURASIP Journal on Advances in Signal Processing 2020 (1), 1-18, 2020
42020
Likelihood based classification in bayesian networks.
I Stajduhar, I Bratko
Artificial Intelligence and Applications, 367-372, 2007
42007
TFD thresholding in estimating the number of EEG components and the dominant if using the short-term rényi entropy
J Lerga, N Saulig, R Lerga, I Štajduhar
Proceedings of the 10th International Symposium on Image and Signal …, 2017
32017
The challenge of measuring distance to obstacles for the purpose of generating a 2-D indoor map using an autonomous robot equipped with an ultrasonic sensor
R Rodin, I Štajduhar
2017 40th International Convention on Information and Communication …, 2017
32017
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
22020
Automatic Annotation of Narrative Radiology Reports
I Krsnik, G Glavaš, M Krsnik, D Miletić, I Štajduhar
Diagnostics 10 (4), 196, 2020
22020
Automatic music transcription for traditional woodwind instruments sopele
A Skoki, S Ljubic, J Lerga, I Štajduhar
Pattern Recognition Letters 128, 340-347, 2019
22019
Mirroring quasi-symmetric organ observations for reducing problem complexity
I Štajduhar, M Tomić, J Lerga
Expert Systems with Applications 85, 318-334, 2017
22017
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Articles 1–20