Pregled po CROSBI profilu: Marko Njirjak (CROSBI Profil: 37928, MBZ: 386703)
Pronađeno 12 radova
-
1.Soft computing for constructive peptide design and peptide activity prediction // Chemistry and Biology of Peptides Gordon Research Conference
Oxnard, California, USA, 2022. str. 1-1 (poster, sažetak, znanstveni) -
2.Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries // The 11th Austrian Peptide Symposium
Beč, Austrija, 2022. (poster, međunarodna recenzija, ostalo, znanstveni) -
3.Genetic Algorithm-Enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries // 5th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry
Cambridge, Ujedinjeno Kraljevstvo, 2022. str. /-/ (poster, međunarodna recenzija, sažetak, znanstveni) -
4.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 (međunarodna recenzija, članak, znanstveni)
-
5.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 (međunarodna recenzija, članak, znanstveni)
-
6.Intra-domain and cross-domain transfer learning for time series data – How transferable are the features? // Knowledge-Based Systems, 239 (2021), 107976, 19 doi:10.1016/j.knosys.2021.107976 (međunarodna recenzija, članak, znanstveni)
-
7.Machine learning guided genetic algorithm for the discovery of novel antimicrobial peptides // 4th RSC‐BMCS / RSC‐CICAG Artificial Intelligence in Chemistry Symposium
London, Ujedinjeno Kraljevstvo, 2021. str. /-/ (poster, međunarodna recenzija, sažetak, znanstveni) -
8.Intra-domain and cross-domain transfer learning for time series // EGU General Assembly 2021
Beč, Austrija; online, 2021. EGU21-12142, 1 doi:10.5194/egusphere-egu21-12142 (predavanje, recenziran, sažetak, znanstveni) -
9.Machine Learning Classification of Cohen's Class Time-Frequency Representations of Non- Stationary Signals: Effects on Earthquake Detection // EGU General Assembly 2021
Beč, Austrija; online, 2021. EGU21-9670, 1 doi:10.5194/egusphere-egu21-9670 (predavanje, recenziran, sažetak, znanstveni) -
10.Smartphone Based Range of Motion Measurement in Physiotherapy // Proceedings of the 43rd International Convention MIPRO 2020
Opatija, Hrvatska, 2020. str. 197-202 doi:10.23919/MIPRO48935.2020.9245214 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
11.Genetic Algorithm Parametrization for Informed Exploration of Short Peptides Chemical Space // Proceedings of SoftCOM 2020
Hvar, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1-3 doi:10.23919/softcom50211.2020.9238187 (poster, međunarodna recenzija, prošireni sažetak, znanstveni) -
12.Detekcija potresa korištenjem vremensko- frekevencijskih predstava seizmograma, 2020., diplomski rad, diplomski, Tehnički fakultet, Rijeka
