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- van Dooremalen, C.
- Ulgezen, Z. N.
- Dall’Olio, R.
- Godeau, U.
- Duan, X.
- Sousa, J. Paulo
- Schäfer, M. O.
- Beaurepaire, A.
- van Gennip, P.
- Schoonman, M.
- Flener, C.
- Matthijs, S.
- Claeys Boúúaert, D.
- Verbeke, W.
- Freshley, D.
- Valkenburg, D.
- van den Bosch, T.
- Schaafsma, F.
- Peters, J.
- Xu, M.
- Le Conte, Y.
- Alaux, C.
- Dalmon, A.
- Paxton, R. J.
- Tehel, A.
- Streicher, T.
- Dezmirean, D. S.
- Giurgiu, A. I.
- Topping, C. J.
- Williams, J. Henty
- Capela, N.
- Lopes, S.
- Alves, F.
- Alves, J.
- Bica, J.
- Simões, S.
- Alves da Silva, A.
- Castro, S.
- Loureiro, J.
- Horčičková, E.
- Bencsik, M.
- McVeigh, A.
- Kumar, T.
- Moro, A.
- van Delden, A.
- Ziółkowska, E.
- Filipiak, M.
- Mikołajczyk, Ł.
- Leufgen, K.
- De Smet, L.
- de Graaf, D. C.
- on Google Scholar
- van Dooremalen, C.
- Ulgezen, Z. N.
- Dall’Olio, R.
- Godeau, U.
- Duan, X.
- Sousa, J. Paulo
- Schäfer, M. O.
- Beaurepaire, A.
- van Gennip, P.
- Schoonman, M.
- Flener, C.
- Matthijs, S.
- Claeys Boúúaert, D.
- Verbeke, W.
- Freshley, D.
- Valkenburg, D.
- van den Bosch, T.
- Schaafsma, F.
- Peters, J.
- Xu, M.
- Le Conte, Y.
- Alaux, C.
- Dalmon, A.
- Paxton, R. J.
- Tehel, A.
- Streicher, T.
- Dezmirean, D. S.
- Giurgiu, A. I.
- Topping, C. J.
- Williams, J. Henty
- Capela, N.
- Lopes, S.
- Alves, F.
- Alves, J.
- Bica, J.
- Simões, S.
- Alves da Silva, A.
- Castro, S.
- Loureiro, J.
- Horčičková, E.
- Bencsik, M.
- McVeigh, A.
- Kumar, T.
- Moro, A.
- van Delden, A.
- Ziółkowska, E.
- Filipiak, M.
- Mikołajczyk, Ł.
- Leufgen, K.
- De Smet, L.
- de Graaf, D. C.
- on PubMed
- van Dooremalen, C.
- Ulgezen, Z. N.
- Dall’Olio, R.
- Godeau, U.
- Duan, X.
- Sousa, J. Paulo
- Schäfer, M. O.
- Beaurepaire, A.
- van Gennip, P.
- Schoonman, M.
- Flener, C.
- Matthijs, S.
- Claeys Boúúaert, D.
- Verbeke, W.
- Freshley, D.
- Valkenburg, D.
- van den Bosch, T.
- Schaafsma, F.
- Peters, J.
- Xu, M.
- Le Conte, Y.
- Alaux, C.
- Dalmon, A.
- Paxton, R. J.
- Tehel, A.
- Streicher, T.
- Dezmirean, D. S.
- Giurgiu, A. I.
- Topping, C. J.
- Williams, J. Henty
- Capela, N.
- Lopes, S.
- Alves, F.
- Alves, J.
- Bica, J.
- Simões, S.
- Alves da Silva, A.
- Castro, S.
- Loureiro, J.
- Horčičková, E.
- Bencsik, M.
- McVeigh, A.
- Kumar, T.
- Moro, A.
- van Delden, A.
- Ziółkowska, E.
- Filipiak, M.
- Mikołajczyk, Ł.
- Leufgen, K.
- De Smet, L.
- de Graaf, D. C.
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Journal: Insects, 2024
Volume: 15
Number: 76
76
Article:
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies
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Coby van Dooremalen, Zeynep N. Ulgezen, Raffaele Dall’Olio, Ugoline Godeau, Xiaodong Duan, José Paulo Sousa, Marc O. Schäfer, Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, Claude Flener, Severine Matthijs, David Claeys Boúúaert, Wim Verbeke, Dana Freshley, Dirk-Jan Valkenburg, Trudy van den Bosch, Famke Schaafsma, Jeroen Peters, Mang Xu, Yves Le Conte, Cedric Alaux, Anne Dalmon, Robert J. Paxton, Anja Tehel, Tabea Streicher, Daniel S. Dezmirean, Alexandru I. Giurgiu, Christopher J. Topping, James Henty Williams, Nuno Capela, Sara Lopes, Fátima Alves, Joana Alves, João Bica, Sandra Simões, António Alves da Silva, Sílvia Castro, João Loureiro, Eva Horčičková, Martin Bencsik, Adam McVeigh, Tarun Kumar, Arrigo Moro, April van Delden, Elżbieta Ziółkowska, Michał Filipiak, Łukasz Mikołajczyk, Kirsten Leufgen, Lina De Smet and Dirk C. de Graafadd
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Cite
van Dooremalen, C.; Ulgezen, Z.N.; Dall’Olio, R.; Godeau, U.; Duan, X.; Sousa, J.P.; Schäfer, M.O.; Beaurepaire, A.; van Gennip, P.; Schoonman, M.; et al. Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies. Insects 2024, 15, 76. https://doi.org/10.3390/insects15010076
van Dooremalen C, Ulgezen ZN, Dall’Olio R, Godeau U, Duan X, Sousa JP, Schäfer MO, Beaurepaire A, van Gennip P, Schoonman M, et al. Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies. Insects. 2024; 15(1):76. https://doi.org/10.3390/insects15010076
Chicago/Turabian Stylevan Dooremalen, Coby, Zeynep N. Ulgezen, Raffaele Dall’Olio, Ugoline Godeau, Xiaodong Duan, José Paulo Sousa, Marc O. Schäfer, Alexis Beaurepaire, Pim van Gennip, Marten Schoonman, and et al. 2024. "Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies" Insects 15, no. 1: 76. https://doi.org/10.3390/insects15010076
APA Stylevan Dooremalen, C., Ulgezen, Z. N., Dall’Olio, R., Godeau, U., Duan, X., Sousa, J. P., Schäfer, M. O., Beaurepaire, A., van Gennip, P., Schoonman, M., Flener, C., Matthijs, S., Claeys Boúúaert, D., Verbeke, W., Freshley, D., Valkenburg, D.-J., van den Bosch, T., Schaafsma, F., Peters, J., ... de Graaf, D. C. (2024). Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies. Insects, 15(1), 76. https://doi.org/10.3390/insects15010076
