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Browsing by Author Matavulj, Predrag
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| Issue Date | Title | Author(s) | Type | Мp-cat. |
|---|---|---|---|---|
| 2022 | Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation![]() | Matavulj, Predrag | Article | 22M22 |
| 2024 | Advancing Automated Identification of Airborne Fungal Spores: Guidelines for Cultivation and Reference Dataset Creation![]() | Bruffaerts, Nicolas; Graf, Elias; Tiwari, Astha; Pyrri, Ioanna; Erb, Sophie; Plaza, Maria; D'hooge, Elizabet; Matavulj, Predrag | Conference Paper | Mp. category will be shown later |
| 2019 | Automatic pollen recognition with the Rapid-E particle counter: the first-level procedure, experience and next steps![]() | Šaulienė, Ingrida; Šukienė, Laura; Daunys, Gintautas; Valiulis, Gediminas; Vaitkevičius, Lukas; Matavulj, Predrag
Crouzy, Benoît; Sofiev, Mikhail;
| Article | 21M21 |
| 2024 | Automatic real-time airborne spores’ identification![]() | Bruffaerts, Nicolas; Graf, Elias; Niederberger, Erny; Tiwari, Astha; Pyrri, Ioanna; Erb, Sophie; Plaza, Maria; D'hooge, Elizabet; 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 |
| 2024 | Classification accuracy and compatibility across devices of a new Rapid-E+ flow cytometer![]() | Šikoparija, Branko | Article | 21M21 |
| 2022 | Comprehensive Evaluation of CNNs for Pollen Classification![]() | Matavulj, Predrag | Conference Paper | Mp. category will be shown later |
| 2021 | Detection of starch rain in ambient air of Novi Sad, Serbia![]() | Šikoparija, Branko | Conference Paper | Mp. category will be shown later |
| 2025 | Domain Adaptation for Improving Automatic Airborne Pollen Classification with Expert-Verified Measurements![]() | Matavulj, Predrag | Article | 21M21 |
| 2021 | Domain adaptation with unlabeled data for model transferability between airborne particle identifiers![]() | Matavulj, Predrag | Conference Paper | Mp. category will be shown later |
| 2022 | Explainable AI for unveiling deep learning pollen classification model - Pollen dataset![]() | Brdar, Sanja | Other | 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 | 21aM21a |
| 2022 | High temporal resolution monitoring of Ambrosia pollen in ambient air![]() | Grewling, Łukasz; Matavulj, Predrag | Conference Paper | Mp. category will be shown later |
| 2024 | Influence of Meteorological Variables and Air Pollutants on Measurements From Automatic Pollen and Spore Monitors![]() | González-Alonso, Mónica; Oteros, Jose; Widmann, Magdalena; Maya-Manzano, Jose M.; Skjoth, Carsten; Grewling, Łukasz; O’Connor, David; Sofiev, Mikhail; Tummon, Fiona; Crouzy, Benoît; | Conference Paper | Mp. category will be shown later |
| 2024 | Influence of meteorological variables and air pollutants on measurements from automatic pollen sampling devices![]() | González-Alonso, M.; Oteros, J.; Widmann, M.; Maya-Manzano, J.M.; Skjøth, C.; Grewling, L.; O'Connor, D.; Sofiev, M.; Tummon, F.; Crouzy, B.; | Article | 21aM21a |
| 2022 | Integration of reference data from different Rapid-E devices supports automatic pollen detection in more locations![]() | Matavulj, Predrag | Article | 21a+M21a+ |
| 2024 | Interseasonal transfer learning for crop mapping using Sentinel-1 data![]() | Pandžić, Miloš | Научни чланак | 21aM21a - Водећи међународни часопис категорије M21a |
| 2023 | Manual and automatic quantification of airborne fungal spores during wheat harvest period![]() | Simović, Isidora | Article | 22M22 |
| 2024 | Multi-modal architecture based on machine learning for real-time pollen classification![]() | Matavulj, Predrag | Doctoral theses | 70M70 |
| 2023 | Quantification of airborne fungal spores during wheat harvest season by traditional and automatic measurements![]() | Simović, Isidora | Конференцијски рад | Мп категорија ће бити приказана накнадно. |
