Goran Mausa

38 papers B 1C 1Misc 2Journal 16Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Synchronization-based clustering on the unit hypersphere.
CoRR
Zinaid Kapic, Aladin Crnkic, Goran Mausa
2025 J jnl
A multi-library approach to parallelised sequence space exploration: Streamlining library design and search space coverage.
Comput. Biol. Medicine
Marko Njirjak, Erik Otovic, Daniela Kalafatovic, Goran Mausa
2024 J jnl
Reducing Hand Kinematics by Introducing Grasp-Oriented Intra-Finger Dependencies.
Robotics
Tomislav Bazina, Goran Mausa, Sasa Zelenika, Ervin Kamenar
2024 J jnl
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning.
Nat. Mac. Intell.
Marko Njirjak, Lucija Zuzic, Marko Babic, Patrizia Jankovic, Erik Otovic, Daniela Kalafatovic, Goran Mausa
2023 J jnl
Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue.
Sensors
Boris Gasparovic, Luka Morelato, Kristijan Lenac, Goran Mausa, Alexei I. Zhurov, Visnja Katic
2023 — conf
Neuroevolution for the Sustainable Evolution of Neural Networks.
MIPRO
Erik Otovic, Jonatan Lerga, Daniela Kalafatovic, Goran Mausa
2022 J jnl
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis.
Environ. Model. Softw.
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
2022 J jnl
Deep Learning Approach For Objects Detection in Underwater Pipeline Images.
Appl. Artif. Intell.
Boris Gasparovic, Jonatan Lerga, Goran Mausa, Marina Ivasic-Kos
2022 J jnl
Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs.
J. Chem. Inf. Model.
Marko Babic, Patrizia Jankovic, Silvia Marchesan, Goran Mausa, Daniela Kalafatovic
2022 J jnl
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features?
CoRR
Erik Otovic, Marko Njirjak, Dario Jozinovic, Goran Mausa, Alberto Michelini, Ivan Stajduhar
2022 J jnl
Intra-domain and cross-domain transfer learning for time series data - How transferable are the features?
Knowl. Based Syst.
Erik Otovic, Marko Njirjak, Dario Jozinovic, Goran Mausa, Alberto Michelini, Ivan Stajduhar
2022 J jnl
Predictive modeling of microbiological seawater quality classification in karst region using cascade model.
CoRR
Ivana Lucin, Sinisa Druzeta, Goran Mausa, Marta Alvir, Luka Grbcic, Darija Vukic Lusic, Ante Sikirica, Lado Kranjcevic
2022 J jnl
Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides.
J. Chem. Inf. Model.
Erik Otovic, Marko Njirjak, Daniela Kalafatovic, Goran Mausa
2021 J jnl
Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis.
CoRR
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
2020 Misc conf
Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space.
SoftCOM
Erik Otovic, Marko Njirjak, Ivana Zuzic, Daniela Kalafatovic, Goran Mausa
2019 — conf
Adapting God Class thresholds for software defect prediction: A case study.
MIPRO
Mitja Gradisnik, Tina Beranic, Saso Karakatic, Goran Mausa
2019 J jnl
Algorithm-supported, mass and sequence diversity-oriented random peptide library design.
J. Cheminformatics
Daniela Kalafatovic, Goran Mausa, Toni Todorovski, Ernest Giralt
2019 — conf
Software Metrics as Identifiers of Defect Occurrence Severity.
SQAMIA
Goran Mausa, Tihana Galinac Grbac, Lucija Brezocnik, Vili Podgorelec, Marjan Hericko
2019 — conf
The Impact of Refactoring on Maintability of Java Code: A Preliminary Review.
SQAMIA
Mitja Gradisnik, Saso Karakatic, Tina Beranic, Marjan Hericko, Goran Mausa, Tihana Galinac Grbac
2018 — conf
Cross-release code churn impact on effort-aware software defect prediction.
MIPRO
Matija Miletic, Monika Vukusic, Goran Mausa, Tihana Galinac Grbac
2018 — conf
Using Threshold Derivation of Software Metrics for Building Classifiers in Defect Prediction.
SQAMIA
Marino Mohovic, Goran Mausa, Tihana Galinac Grbac
2017 J jnl
Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study.
Appl. Soft Comput.
Goran Mausa, Tihana Galinac Grbac
2017 — conf
Relationship Between Design and Defects for Software in Evolution.
SQAMIA
Matija Miletic, Monika Vukusic, Goran Mausa, Tihana Galinac Grbac
2017 C conf
The Stability of Threshold Values for Software Metrics in Software Defect Prediction.
MEDI
Goran Mausa, Tihana Galinac Grbac
2016 J jnl
A systematic data collection procedure for software defect prediction.
Comput. Sci. Inf. Syst.
Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic
2016 — conf
Assessing the Impact of Untraceable Bugs on the Quality of Software Defect Prediction Datasets.
SQAMIA
Goran Mausa, Tihana Galinac Grbac
2016 — conf
On the distribution of software faults in evolution of complex systems.
SiSoS@ECSA
Tihana Galinac Grbac, Goran Mausa
2016 — —
Poboljšanje postupaka za predviđanje programskih neispravnosti zasnovano na strojnom učenju ; Improvement of software defect prediction methods based on machine learning.
Goran Mausa
2015 — conf
Data Storage and Analysis system for conducting Biotechnological Experiments.
MIPRO
Damir Spahic, Goran Mausa, Sandra Kraljevic Pavelic, Tihana Galinac Grbac
2015 — conf
Data collection for Software Defect Prediction - An exploratory case study of open source software projects.
MIPRO
Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic
2015 — conf
Rotation Forest in Software Defect Prediction.
SQAMIA
Goran Mausa, Nikola Bogunovic, Tihana Galinac Grbac, Bojana Dalbelo Basic
2015 B conf
Software Defect Classification with a Variant of NSGA-II and Simple Voting Strategies.
SSBSE
Emil Rubinic, Goran Mausa, Tihana Galinac Grbac
2015 — conf
Using string similarity metrics for automated grading of SQL statements.
MIPRO
Ivan Stajduhar, Goran Mausa
2014 Misc conf
Software defect prediction with Bug-Code analyzer - A data collection tool demo.
SoftCOM
Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic
2014 — conf
Techniques for Bug-Code Linking.
SQAMIA
Goran Mausa, Paolo Perkovic, Tihana Galinac Grbac, Ivan Stajduhar
2013 — conf
Hill Climbing and simulated annealing in large scale next release problem.
EUROCON
Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic, Mario-Osvin Pavcevic
2013 — conf
Stability of Software Defect Prediction in Relation to Levels of Data Imbalance.
SQAMIA
Tihana Galinac Grbac, Goran Mausa, Bojana Dalbelo Basic
2012 — conf
Multivariate logistic regression prediction of fault-proneness in software modules.
MIPRO
Goran Mausa, Tihana Galinac Grbac, Bojana Dalbelo Basic