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ORCIDGoran Mausa
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2020 – today
- 2024
[j10]Tomislav Bazina
, Goran Mausa, Sasa Zelenika, Ervin Kamenar:
Reducing Hand Kinematics by Introducing Grasp-Oriented Intra-Finger Dependencies. Robotics 13(6): 82 (2024)- 2023
- [j9]Boris Gasparovic, Luka Morelato, Kristijan Lenac, Goran Mausa, Alexei I. Zhurov, Visnja Katic:
Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue. Sensors 23(5): 2412 (2023) - [c21]Erik Otovic, Jonatan Lerga, Daniela Kalafatovic, Goran Mausa:
Neuroevolution for the Sustainable Evolution of Neural Networks. MIPRO 2023: 1045-1051 - 2022
- [j8]Boris Gasparovic, Jonatan Lerga, Goran Mausa, Marina Ivasic-Kos:
Deep Learning Approach For Objects Detection in Underwater Pipeline Images. Appl. Artif. Intell. 36(1) (2022) - [j7]Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic:
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. Environ. Model. Softw. 155: 105458 (2022) - [j6]Erik Otovic, Marko Njirjak, Daniela Kalafatovic, Goran Mausa:
Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides. J. Chem. Inf. Model. 62(12): 2961-2972 (2022) - [j5]Marko Babic, Patrizia Jankovic, Silvia Marchesan, Goran Mausa, Daniela Kalafatovic:
Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs. J. Chem. Inf. Model. 62(24): 6398-6410 (2022) - [j4]Erik Otovic, Marko Njirjak, Dario Jozinovic, Goran Mausa, Alberto Michelini, Ivan Stajduhar:
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features? Knowl. Based Syst. 239: 107976 (2022) - [i3]Erik Otovic, Marko Njirjak, Dario Jozinovic, Goran Mausa, Alberto Michelini, Ivan Stajduhar:
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features? CoRR abs/2201.04449 (2022) - [i2]Ivana Lucin, Sinisa Druzeta, Goran Mausa, Marta Alvir, Luka Grbcic, Darija Vukic Lusic, Ante Sikirica, Lado Kranjcevic:
Predictive modeling of microbiological seawater quality classification in karst region using cascade model. CoRR abs/2202.05664 (2022) - 2021
- [i1]Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic:
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. CoRR abs/2107.03230 (2021) - 2020
- [c20]Erik Otovic, Marko Njirjak, Ivana Zuzic, Daniela Kalafatovic, Goran Mausa:
Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space. SoftCOM 2020: 1-3
2010 – 2019
- 2019
- [j3]Daniela Kalafatovic, Goran Mausa, Toni Todorovski, Ernest Giralt:
Algorithm-supported, mass and sequence diversity-oriented random peptide library design. J. Cheminformatics 11(1): 25:1-25:15 (2019) - [c19]Mitja Gradisnik, Tina Beranic, Saso Karakatic, Goran Mausa:
Adapting God Class thresholds for software defect prediction: A case study. MIPRO 2019: 1537-1542 - [c18]Mitja Gradisnik, Saso Karakatic, Tina Beranic, Marjan Hericko, Goran Mausa, Tihana Galinac Grbac:
The Impact of Refactoring on Maintability of Java Code: A Preliminary Review. SQAMIA 2019 - [c17]Goran Mausa, Tihana Galinac Grbac, Lucija Brezocnik, Vili Podgorelec, Marjan Hericko:
Software Metrics as Identifiers of Defect Occurrence Severity. SQAMIA 2019 - 2018
- [c16]Matija Miletic, Monika Vukusic, Goran Mausa, Tihana Galinac Grbac:
Cross-release code churn impact on effort-aware software defect prediction. MIPRO 2018: 1460-1466 - [c15]Marino Mohovic, Goran Mausa, Tihana Galinac Grbac:
Using Threshold Derivation of Software Metrics for Building Classifiers in Defect Prediction. SQAMIA 2018 - 2017
- [j2]Goran Mausa, Tihana Galinac Grbac:
Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study. Appl. Soft Comput. 55: 331-351 (2017) - [c14]Goran Mausa, Tihana Galinac Grbac:
The Stability of Threshold Values for Software Metrics in Software Defect Prediction. MEDI 2017: 81-95 - [c13]Matija Miletic, Monika Vukusic, Goran Mausa, Tihana Galinac Grbac:
Relationship Between Design and Defects for Software in Evolution. SQAMIA 2017 - 2016
- [j1]Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic:
A systematic data collection procedure for software defect prediction. Comput. Sci. Inf. Syst. 13(1): 173-197 (2016) - [c12]Tihana Galinac Grbac, Goran Mausa:
On the distribution of software faults in evolution of complex systems. SiSoS@ECSA 2016: 2:1-2:7 - [c11]Goran Mausa, Tihana Galinac Grbac:
Assessing the Impact of Untraceable Bugs on the Quality of Software Defect Prediction Datasets. SQAMIA 2016: 47-56 - 2015
- [c10]Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic:
Data collection for Software Defect Prediction - An exploratory case study of open source software projects. MIPRO 2015: 463-469 - [c9]Damir Spahic, Goran Mausa, Sandra Kraljevic Pavelic, Tihana Galinac Grbac:
Data Storage and Analysis system for conducting Biotechnological Experiments. MIPRO 2015: 470-475 - [c8]Ivan Stajduhar, Goran Mausa:
Using string similarity metrics for automated grading of SQL statements. MIPRO 2015: 1250-1255 - [c7]Goran Mausa, Nikola Bogunovic, Tihana Galinac Grbac, Bojana Dalbelo Basic:
Rotation Forest in Software Defect Prediction. SQAMIA 2015: 35-43 - [c6]Emil Rubinic, Goran Mausa, Tihana Galinac Grbac:
Software Defect Classification with a Variant of NSGA-II and Simple Voting Strategies. SSBSE 2015: 347-353 - 2014
- [c5]Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic:
Software defect prediction with Bug-Code analyzer - A data collection tool demo. SoftCOM 2014: 425-426 - [c4]Goran Mausa, Paolo Perkovic, Tihana Galinac Grbac, Ivan Stajduhar:
Techniques for Bug-Code Linking. SQAMIA 2014: 47-55 - 2013
- [c3]Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic, Mario-Osvin Pavcevic:
Hill Climbing and simulated annealing in large scale next release problem. EUROCON 2013: 452-459 - [c2]Tihana Galinac Grbac, Goran Mausa, Bojana Dalbelo Basic:
Stability of Software Defect Prediction in Relation to Levels of Data Imbalance. SQAMIA 2013: 1-10 - 2012
- [c1]Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic:
Multivariate logistic regression prediction of fault-proneness in software modules. MIPRO 2012: 698-703
Coauthor Index
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