Pregled po CROSBI profilu: Mario Lovrić (CROSBI Profil: 38065, MBZ: 397424, ORCID: 0000-0002-3541-9624)
Pronađeno 50 radova
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1.Rapid growth of Aitken-mode particles during Arctic summer by fog chemical processing and its implication // PNAS Nexus, 2 (2023), 5; 1-11 doi:10.1093/pnasnexus/pgad124 (međunarodna recenzija, članak, znanstveni)
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2.QSAR bioactivity prediction in clinical metabolomics // 28. HSKIKI Book of Abstracts / Rogošić, Marko (ur.).
Zagreb: Hrvatsko društvo kemijskih inženjera i tehnologa (HDKI), 2023. str. 47-47 (predavanje, međunarodna recenzija, sažetak, znanstveni) -
3.Optimal Hybridization with Minimum Fuel Consumption of the Hybrid Fuel Cell Train // Designs, 7 (2023), 2; 1-16 doi:10.3390/designs7020045 (međunarodna recenzija, članak, znanstveni)
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4.Assessment of microbiological status of chilled salmon fillets using Raman spectroscopy and machine learning // 50th WEFTA congress Book of Abstracts / Van Houcke, Jasper ; Vanhoutte, Kaitlyn ; Luten, Joop (ur.).
Rotterdam, Nizozemska, 2022. str. 137-137 (poster, međunarodna recenzija, sažetak, znanstveni) -
5.Analiza multivarijatnih vremenskih serija putem objašnjivih metoda strojnog učenja, 2022., diplomski rad, diplomski, Fakultet kemijskog inženjerstva i tehnologije, Zagreb
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6.COVID-19 Lockdowns—Effect on Concentration of Pharmaceuticals and Illicit Drugs in Two Major Croatian Rivers // Toxics, 10 (2022), 5; 241, 14 doi:10.3390/toxics10050241 (međunarodna recenzija, članak, znanstveni)
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7.Machine learning and meteorological normalization for assessment of particulate matter changes during the COVID-19 lockdown in Zagreb, Croatia // International journal of environmental research and public health, 19 (2022), 11; 6937, 16 doi:10.3390/ijerph19116937 (međunarodna recenzija, članak, znanstveni)
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8.Insignificant Changes in Particulate Matter during the COVID-19 Lockdown: A Machine Learning Study in Zagreb, Croatia // Proceedings of the 7th World Congress on Civil, Structural, and Environmental Engineering (CSEE'22) / El Naggar, Hanny ; Barros, Joaquim (ur.).
Ottawa: International ASET Inc., 2022. ICEPTP 187, 8 doi:10.11159/iceptp22.187 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
9.Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study // Data, 7 (2022), 2; 20, 14 doi:10.3390/data7020020 (međunarodna recenzija, članak, znanstveni)
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10.Combining short-term bioassays using fish and crustacean model organisms with ToxCast in vitro data and broad-spectrum chemical analysis for environmental risk assessment of the river water (Sava, Croatia) // Environmental pollution, 292 (2022), Part B; 118440, 13 doi:10.1016/j.envpol.2021.118440 (međunarodna recenzija, članak, znanstveni)
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11.A Generation Shift in Mediterranean Diet Adherence and Its Association with Biological Markers and Health in Dalmatia, Croatia // Nutrients, 13 (2021), 12; 4564, 11 doi:10.3390/nu13124564 (međunarodna recenzija, članak, ostalo)
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12.PREDICTION OF ANODE LIFETIME IN ELECTRO GALVANIZING LINES BY BIG DATA ANALYSIS // Galvatech 2021 - 12th International Conference on Zinc & Zinc Alloy Coated Steel Sheet
Beč: GALVATECH 2021- ASMET, 2021. str. 310-317 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo) -
13.Treatment outcome clustering patterns correspond to discrete asthma phenotypes in children // Asthma Research and Practice, 7 (2021), 1; 11, 11 doi:10.1186/s40733-021-00077-x (međunarodna recenzija, članak, znanstveni)
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14.Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints // Pharmaceuticals, 14 (2021), 8; 758, 17 doi:10.3390/ph14080758 (međunarodna recenzija, članak, ostalo)
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15.Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning // Environmental pollution, 274 (2021), 115900, 9 doi:10.1016/j.envpol.2020.115900 (međunarodna recenzija, članak, znanstveni)
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16.Razvoj i primjena modela za procjenu ekotoksikološkog rizika bioaktivnih kemijskih spojeva, 2021., doktorska disertacija, Prirodoslovno-matematički fakultet, Zagreb
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17.Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma // Children (Basel), 8 (2021), 5; 376-376 doi:10.3390/children8050376 (međunarodna recenzija, članak, znanstveni)
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18.Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability? // Journal of chemometrics, 35 (2021), 7-8; e3349, 16 doi:10.1002/cem.3349 (međunarodna recenzija, članak, znanstveni)
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19.Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem // Molecules, 26 (2021), 6; 1617, 15 doi:10.3390/molecules26061617 (međunarodna recenzija, članak, znanstveni)
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20.Plant resistome profiling in evolutionary old bog vegetation provides new clues to understand emergence of multi-resistance // The ISME Journal, 15 (2020), 3; 921-937 doi:10.1038/s41396-020-00822-9 (međunarodna recenzija, članak, znanstveni)
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21.Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models // Advanced Modeling and Simulation in Engineering Sciences, 7 (2020), 1; 46, 16 doi:10.1186/s40323-020-00184-z (međunarodna recenzija, članak, znanstveni)
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22.Affinity of Antifungal Isoxazolo[3,4-b]pyridine-3(1H)-Ones to Phospholipids in Immobilized Artificial Membrane (IAM) Chromatography // Molecules, 25 (2020), 20; 1-9 doi:10.3390/molecules25204835 (međunarodna recenzija, članak, ostalo)
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23.Ensemble Learning Approaches to Data Imbalance and Competing Objectives in Design of an Industrial Machine Vision System // Industrial & Engineering Chemistry Research, 59 (2020), 10; 4636-4645 doi:10.1021/acs.iecr.9b05766 (međunarodna recenzija, članak, ostalo)
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24.Body mass index, body image dissatisfaction, and eating disorder symptoms in female aquatic sports: Comparison between artistic swimmers and female water polo players // Journal of physical education and sport, 20 (2020), 3; 2159-2166 doi:10.7752/jpes.2020.s3290 (međunarodna recenzija, članak, znanstveni)
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25.Pollution Sources and Carcinogenic Risk of PAHs in PM1 Particle Fraction in an Urban Area // International journal of environmental research and public health, 17 (2020), 1-22 doi:10.3390/ijerph17249587 (međunarodna recenzija, članak, znanstveni)
