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Monitoring of Varroa Infestation Rate in Beehives: A Simple AI Approach., , , , and . ICIP, page 3341-3345. IEEE, (2022)Overview of LifeCLEF 2021: An Evaluation of Machine-Learning Based Species Identification and Species Distribution Prediction., , , , , , , , , and 9 other author(s). CLEF, volume 12880 of Lecture Notes in Computer Science, page 371-393. Springer, (2021)Overview of FungiCLEF 2022: Fungi Recognition as an Open Set Classification Problem., , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 1970-1981. CEUR-WS.org, (2022)Overview of SnakeCLEF 2023: Snake Identification in Medically Important Scenarios., , , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1982-1995. CEUR-WS.org, (2023)Fungi Recognition: A Practical Use Case., , , , and . WACV, page 2305-2313. IEEE, (2020)Overview of LifeCLEF 2020: A System-Oriented Evaluation of Automated Species Identification and Species Distribution Prediction., , , , , , , , , and 8 other author(s). CLEF, volume 12260 of Lecture Notes in Computer Science, page 342-363. Springer, (2020)Automatic Fungi Recognition: Deep Learning Meets Mycology., , , , , and . Sensors, 22 (2): 633 (2022)Overview of the SnakeCLEF 2020: AutomaticSnake Species Identification Challenge., , , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Plant Recognition by Inception Networks with Test-time Class Prior Estimation., , and . CLEF (Working Notes), volume 2125 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)A Deep Learning Method for Visual Recognition of Snake Species., , , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 1512-1525. CEUR-WS.org, (2021)