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Autori: Brdar Sanja

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Naslov Maize Hybrids Performance Evaluation with Data Fusion by Matrix Factorization Algorithm (Article)
Autori Brkic Milica Hacko Stefan  Radovanovic Milos M  Crnojevic Vladimir S  Brdar Sanja  
Info APPLIED ARTIFICIAL INTELLIGENCE, (2024), vol. 38 br. 1, str. -
Projekat European Union [739570, 664387]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-66/2024-03/200358]
Ispravka Web of Science   Članak   Elečas   Rang časopisa  
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Naslov Predicting fungal infection sensitivity of sepals in harvested tomatoes using imaging spectroscopy and partial least squares discriminant analysis (Article; Early Access)
Autori Bertotto Mercedes De Villiers Hendrik AC Chauhan Aneesh Hogeveen van Echtelt Esther Mensink Manon Grbovic Zeljana Stefanovic Dimitrije Panic Marko N  Brdar Sanja  
Info JOURNAL OF NEAR INFRARED SPECTROSCOPY, (2024), vol. br. , str. -
Projekat EU Commission [664387]
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Naslov Classification accuracy and compatibility across devices of a new Rapid-E plus flow cytometer (Article)
Autori Sikoparija Branko  Matavulj Predrag  Simovic Isidora  Radisic Predrag Brdar Sanja  Minic Vladan Tesendic Danijela Kadantsev Evgeny Palamarchuk Julia Sofiev Mikhail 
Info ATMOSPHERIC MEASUREMENT TECHNIQUES, (2024), vol. 17 br. 17, str. 5051-5070
Projekat EU Horizon Europe project SYLVA [101086109]; Ministarstvo Prosvete, Nauke i Tehnoloskog Razvoja, Republike Srbije [200358]
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Naslov Farming system archetypes help explain the uptake of agri-environment practices in Europe (Article)
Autori Vaclavik Tomas Beckmann Michael Bednar Marek Brdar Sanja  Breckenridge George Cord Anna F Domingo Marimon Cristina Gosal Arjan Langerwisch Fanny Paulus Anne Roilo Stephanie Sarapatka Borivoj Ziv Guy Cejka Tomas 
Info ENVIRONMENTAL RESEARCH LETTERS, (2024), vol. 19 br. 7, str. -
Projekat European Union [817501]; Technology Agency of the Czech Republic within the Environment for Life Programme [SS02030018]; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy [EXC 2070 - 390732324]
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Naslov Cost-sensitive tree SHAP for explaining cost-sensitive tree-based models (Article)
Autori Kopanja Marija Hacko Stefan  Brdar Sanja  Savic Milos  
Info COMPUTATIONAL INTELLIGENCE, (2024), vol. 40 br. 3, str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia
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Naslov Multi-class boosting for the analysis of multiple incomplete views on microbiome data (Article)
Autori Simeon Andrea  Radovanovic Milos M  Loncar-Turukalo Tatjana G Ceci Michelangelo Brdar Sanja  Pio Gianvito 
Info BMC BIOINFORMATICS, (2024), vol. 25 br. 1, str. -
Projekat COST Action [CA18131]; COST (European Cooperation in Science and Technology); NRRP MUR program - NextGenerationEU: Future AI Research [PE00000013]; RNA - "National Center for Gene Therapy and Drugs based on RNA Technology [2022XABBMA, CUP: H53D23003690006, CN3, CUP: H93C22000430007]
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Naslov Interseasonal transfer learning for crop mapping using Sentinel-1 data (Article)
Autori Pandzic Milos  Pavlovic Dejan  Matavulj Predrag  Brdar Sanja  Marko Oskar  Crnojevic Vladimir S  Kilibarda Milan S  
Info INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, (2024), vol. 128 br. , str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research of Vojvodina [142-451-3004/2023-01/01]; European Union's Horizon 2020 research and innovation programme [739570, 664387]
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Naslov Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data (Article)
Autori Radulovic Mirjana Brdar Sanja  Pejak Branislav Lugonja Predrag Athanasiadis Ioannis N Pajevic Nina Pavic Dragoslav J Crnojevic Vladimir S  
Info GISCIENCE & REMOTE SENSING, (2023), vol. 60 br. 1, str. -
Projekat Provincial Secretariat for Higher Education and Scientific Research of Vojvodina [142-451-3183/2022-01/01]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-47/2023-01/200358]; BioSense Institute [739570, 664387]; Wageningen University Research
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Naslov Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy (Article)
Autori Brdar Sanja  Panic Marko N  Matavulj Predrag  Stankovic Mira Bartolic Dragana Sikoparija Branko  
Info SCIENTIFIC REPORTS, (2023), vol. 13 br. 1, str. -
Projekat BREATHE Project from the Science Fund of the Republic of Serbia PROMIS program [6039613]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-47/2023-01/200358]; Interreg IPA Cross-border Cooperation program Croatia-Serbia; RealForAll Project [2017HR-RS151]
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Naslov Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation (Article)
Autori Matavulj Predrag  Panic Marko N  Sikoparija Branko  Tesendic Danijela Radovanovic Milos M  Brdar Sanja  
Info APPLIED ARTIFICIAL INTELLIGENCE, (2023), vol. 37 br. 1, str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia; Science Fund of the Republic of Serbia; [451-03-68/2022-14/200358]; [6039613]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science  
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