Ivan Štajduhar
Ivan Štajduhar
Associate Professor, University of Rijeka, Faculty of Engineering
Verified email at riteh.hr - Homepage
TitleCited byYear
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
Learning Bayesian networks from survival data using weighting censored instances
I Štajduhar, B Dalbelo-Bašić
Journal of biomedical informatics 43 (4), 613-622, 2010
Uncensoring censored data for machine learning: A likelihood-based approach
I Štajduhar, B Dalbelo-Bašić
Expert Systems with Applications 39 (8), 7226-7234, 2012
Techniques for Bug–Code Linking
G Mauša, P Perković, TG Grbac, I Štajduhar
Third Workshop on Software Quality Analysis, Monitoring, Improvement and …, 2014
Predicting Stock Market Trends Using Random Forests: A Sample of the Zagreb Stock Exchange
T Manojlović, I Štajduhar
38th International Convention MIPRO 2015, 2015
A Profile-and Community-Driven Book Recommender System
I Petrović, P Perković, I Štajduhar
38th International Convention MIPRO 2015, 2015
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
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
Using string similarity metrics for automated grading of SQL statements
I Štajduhar, G Mauša
2015 38th International Convention on Information and Communication …, 2015
Likelihood based classification in bayesian networks.
I Stajduhar, I Bratko
Artificial Intelligence and Applications, 367-372, 2007
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
Minimizacija učne množice pri učenju odločitvenih dreves
I Štajduhar, I Bratko
I. Štajduhar, 2001
Mirroring quasi-symmetric organ observations for reducing problem complexity
I Štajduhar, M Tomić, J Lerga
Expert Systems with Applications 85, 318-334, 2017
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
Lossy image reconstruction using adaptive wavelet filter bank
M Vrankić, D Seršić, I Štajduhar
Fifth IASTED International Conference on Signal and Image Processing, 2003
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 state estimator with intersection of confidence intervals based preprocessing
J Lerga, V Kirinčić, D Franković, I Štajduhar
International Journal of Electrical Power & Energy Systems 102, 413-420, 2018
Automatic Radius Bones Fracture Detection using Machine Learning
F Hržić, I Štajduhar
Semantic Approach to Accommodation & Booking Related Web Services
I Pavković, I Štajduhar
38th International Convention MIPRO 2015, 2015
Use of Unmanned Aerial Vehicles in Preventing and Extinguishing Fires
M Anđelini, I Štajduhar
International Conference on Innovative Technologies in Safety Engineering …, 2015
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