Researchers
Matavulj, Predrag
Issue Date | Title | Author(s) | Type | М-cat. |
---|---|---|---|---|
2024 | Interseasonal transfer learning for crop mapping using Sentinel-1 data (✓) | Pandžić, Miloš ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2023 | Quantification of airborne fungal spores during wheat harvest season by traditional and automatic measurements (✓) | Simović, Isidora ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2023 | Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy (✓) | Brdar, Sanja ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |
2023 | Manual and automatic quantification of airborne fungal spores during wheat harvest period (✓) | Simović, Isidora ![]() ![]() ![]() ![]() ![]() ![]() | Article | 22M22 |
2023 | Quantification of airborne fungal spores during wheat harvest season by traditional and automatic measurements. „Current stage and future perspectives of bioaerosol research in Europe" (✓) | Simović, Isidora ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2022 | Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations (✓) | Matavulj, Predrag ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21aM21a |
2022 | Explainable AI for unveiling deep learning pollen classification model - Pollen dataset (✓) | Brdar, Sanja ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Other | Mp. category will be shown later |
2022 | Comprehensive Evaluation of CNNs for Pollen Classification (✓) | Matavulj, Predrag ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2022 | Automatic real-time detection and classification of bioaerosols (✓) | Šikoparija, Branko ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2022 | Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation (✓) | Matavulj, Predrag ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 22M22 |
2022 | Real-time automatic detection of starch particles in ambient air (✓) | Šikoparija, Branko ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21aM21a |
2022 | Why should we care about high temporal resolution monitoring of bioaerosols in ambient air? (✓) | Smith, Matt; Matavulj, Predrag ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21aM21a |
2021 | Domain adaptation with unlabeled data for model transferability between airborne particle identifiers (✓) | Matavulj, Predrag ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Conference Paper | Mp. category will be shown later |
2020 | RealForAll: real-time system for automatic detection of airborne pollen (✓) | Tešendić, Danijela ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() | Article | 21M21 |