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Otović, Erik ; Njirjak, Marko ; Kalafatovic, Daniela ; Mauša, Goran
Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides // Journal of chemical information and modeling, 62 (2022), 12; 2961-2972. doi: 10.1021/acs.jcim.2c00526
Njirjak, Marko ; Otović, Erik ; Jozinović, Dario ; Lerga, Jonatan ; Mauša, Goran ; Michelini, Alberto ; Štajduhar, Ivan
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 // Mathematics, 10 (2022), 6; 965, 17. doi: 10.3390/math10060965
Mauša, Goran ; Otović, Erik ; Njirjak, Marko ; Erjavac, Ivan ; Kalafatovic, Daniela
Soft computing for constructive peptide design and peptide activity prediction. 2022. str. 1-1
Njirjak, Marko ; Kalafatovic, Daniela ; Mauša, Goran
Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries. 2022
Njirjak, Marko ; Kalafatovic, Daniela ; Mauša, Goran
Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries. 2022. str. /-/
Njirjak, Marko ; Otović, Erik ; Jozinović, Dario ; Lerga, Jonatan ; Mauša, Goran ; Michelini, Alberto ; Štajduhar, Ivan
Machine Learning Classification of Cohen's Class Time-Frequency Representations of Non- Stationary Signals: Effects on Earthquake Detection. 2021. doi: 10.5194/egusphere-egu21-9670
Njirjak, Marko ; Otović Erik ; Kalafatović, Daniela ; Mauša, Goran
Machine learning guided genetic algorithm for the discovery of novel antimicrobial peptides. 2021. str. /-/
