Multivariate logistic regression prediction of fault-proneness in software modules. - Goran Mausa; Tihana Galinac Grbac; Bojana Dalbelo Basic (MIPRO, 2012)

Hill Climbing and simulated annealing in large scale next release problem. - Goran Mausa; Tihana Galinac Grbac; Bojana Dalbelo Basic; Mario-Osvin Pavcevic (EUROCON, 2013)

Stability of Software Defect Prediction in Relation to Levels of Data Imbalance. - Tihana Galinac Grbac; Goran Mausa; Bojana Dalbelo Basic (SQAMIA, 2013)

Software defect prediction with Bug-Code analyzer - A data collection tool demo. - Goran Mausa; Tihana Galinac Grbac; Bojana Dalbelo Basic (SoftCOM, 2014)

Techniques for Bug-Code Linking. - Goran Mausa; Paolo Perkovic; Tihana Galinac Grbac; Ivan Stajduhar (SQAMIA, 2014)

Data collection for Software Defect Prediction - An exploratory case study of open source software projects. - Goran Mausa; Tihana Galinac Grbac; Bojana Dalbelo Basic (MIPRO, 2015)

Data Storage and Analysis system for conducting Biotechnological Experiments. - Damir Spahic; Goran Mausa; Sandra Kraljevic Pavelic; Tihana Galinac Grbac (MIPRO, 2015)

Using string similarity metrics for automated grading of SQL statements. - Ivan Stajduhar; Goran Mausa (MIPRO, 2015)

Rotation Forest in Software Defect Prediction. - Goran Mausa; Nikola Bogunovic; Tihana Galinac Grbac; Bojana Dalbelo Basic (SQAMIA, 2015)

Software Defect Classification with a Variant of NSGA-II and Simple Voting Strategies. - Emil Rubinic; Goran Mausa; Tihana Galinac Grbac (SSBSE, 2015)

On the distribution of software faults in evolution of complex systems. - Tihana Galinac Grbac; Goran Mausa (SiSoS@ECSA, 2016)

Assessing the Impact of Untraceable Bugs on the Quality of Software Defect Prediction Datasets. - Goran Mausa; Tihana Galinac Grbac (SQAMIA, 2016)

A systematic data collection procedure for software defect prediction. - Goran Mausa; Tihana Galinac Grbac; Bojana Dalbelo Basic (Comput. Sci. Inf. Syst., 2016)

Poboljšanje postupaka za predviđanje programskih neispravnosti zasnovano na strojnom učenju ; Improvement of software defect prediction methods based on machine learning. - Goran Mausa (2016)

The Stability of Threshold Values for Software Metrics in Software Defect Prediction. - Goran Mausa; Tihana Galinac Grbac (MEDI, 2017)

Relationship Between Design and Defects for Software in Evolution. - Matija Miletic; Monika Vukusic; Goran Mausa; Tihana Galinac Grbac (SQAMIA, 2017)

Co-evolutionary multi-population genetic programming for classification in software defect prediction: An empirical case study. - Goran Mausa; Tihana Galinac Grbac (Appl. Soft Comput., 2017)

Cross-release code churn impact on effort-aware software defect prediction. - Matija Miletic; Monika Vukusic; Goran Mausa; Tihana Galinac Grbac (MIPRO, 2018)

Using Threshold Derivation of Software Metrics for Building Classifiers in Defect Prediction. - Marino Mohovic; Goran Mausa; Tihana Galinac Grbac (SQAMIA, 2018)

Adapting God Class thresholds for software defect prediction: A case study. - Mitja Gradisnik; Tina Beranic; Saso Karakatic; Goran Mausa (MIPRO, 2019)

The Impact of Refactoring on Maintability of Java Code: A Preliminary Review. - Mitja Gradisnik; Saso Karakatic; Tina Beranic; Marjan Hericko; Goran Mausa; Tihana Galinac Grbac (SQAMIA, 2019)

Software Metrics as Identifiers of Defect Occurrence Severity. - Goran Mausa; Tihana Galinac Grbac; Lucija Brezocnik; Vili Podgorelec; Marjan Hericko (SQAMIA, 2019)

Algorithm-supported, mass and sequence diversity-oriented random peptide library design. - Daniela Kalafatovic; Goran Mausa; Toni Todorovski; Ernest Giralt (J. Cheminformatics, 2019)

Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space. - Erik Otovic; Marko Njirjak; Ivana Zuzic; Daniela Kalafatovic; Goran Mausa (SoftCOM, 2020)

Predictive modeling of microbiological seawater quality classification in karst region using cascade model. - Ivana Lucin; Sinisa Druzeta; Goran Mausa; Marta Alvir; Luka Grbcic; Darija Vukic Lusic; Ante Sikirica; Lado Kranjcevic (CoRR, 2022)

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis. - 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; et al. (Environ. Model. Softw., 2022)

Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs. - Marko Babic; Patrizia Jankovic; Silvia Marchesan; Goran Mausa; Daniela Kalafatovic (J. Chem. Inf. Model., 2022)

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides. - Erik Otovic; Marko Njirjak; Daniela Kalafatovic; Goran Mausa (J. Chem. Inf. Model., 2022)

Intra-domain and cross-domain transfer learning for time series data - How transferable are the features? - Erik Otovic; Marko Njirjak; Dario Jozinovic; Goran Mausa; Alberto Michelini; Ivan Stajduhar (Knowl. Based Syst., 2022)

Deep Learning Approach For Objects Detection in Underwater Pipeline Images. - Boris Gasparovic; Jonatan Lerga; Goran Mausa; Marina Ivasic-Kos (Appl. Artif. Intell., 2022)

Neuroevolution for the Sustainable Evolution of Neural Networks. - Erik Otovic; Jonatan Lerga; Daniela Kalafatovic; Goran Mausa (MIPRO, 2023)

Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue. - Boris Gasparovic; Luka Morelato; Kristijan Lenac; Goran Mausa; Alexei I. Zhurov; Visnja Katic (Sensors, 2023)

Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning. - Marko Njirjak; Lucija Zuzic; Marko Babic; Patrizia Jankovic; Erik Otovic; Daniela Kalafatovic; Goran Mausa (Nat. Mac. Intell., 2024)

Reducing Hand Kinematics by Introducing Grasp-Oriented Intra-Finger Dependencies. - Tomislav Bazina; Goran Mausa; Sasa Zelenika; Ervin Kamenar (Robotics, 2024)