Goran Mauša, Assist. Prof., PhD (RITEH)

University of Rijeka, Faculty of Engineering

Author's Projects

National Competence Centres in the Framework of EuroHPC (EUROCC)

Design of short catalytic peptides and peptide assemblies (DeShPet)

Applying Machine Learning for the Discovery of Peptides with Catalytic Activity

Author's Research Papers

Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model?

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

Bottom-Up Design Approach for OBOC Peptide Libraries

Algorithm-supported, mass and sequence diversity-oriented random peptide library design

Co-evolutionary Multi-Population Genetic Programming for Classification in Software Defect Prediction: an Empirical Case Study

A Systematic Data Collection Procedure for Software Defect Prediction