| Deep learning and computer vision will transform entomology TT Høye, J Ärje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ... Proceedings of the National Academy of Sciences 118 (2), e2002545117, 2021 | 275 | 2021 |
| Towards the fully automated monitoring of ecological communities M Besson, J Alison, K Bjerge, TE Gorochowski, TT Høye, T Jucker, ... Ecology Letters 25 (12), 2753-2775, 2022 | 78 | 2022 |
| Winters are changing: snow effects on Arctic and alpine tundra ecosystems C Rixen, TT Høye, P Macek, R Aerts, JM Alatalo, JT Anderson, PA Arnold, ... Arctic Science 8 (3), 572-608, 2022 | 65 | 2022 |
| Real‐time insect tracking and monitoring with computer vision and deep learning K Bjerge, HMR Mann, TT Høye Remote Sensing in Ecology and Conservation 8 (3), 315-327, 2022 | 64 | 2022 |
| Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning HMR Mann, A Iosifidis, JU Jepsen, JM Welker, MJJE Loonen, TT Høye Remote Sensing in Ecology and Conservation 8 (6), 765-777, 2022 | 25 | 2022 |
| Accurate detection and identification of insects from camera trap images with deep learning K Bjerge, J Alison, M Dyrmann, CE Frigaard, HMR Mann, TT Høye PLOS Sustainability and Transformation 2 (3), e0000051, 2023 | 24 | 2023 |
| Moths complement bumblebee pollination of red clover: a case for day-and-night insect surveillance J Alison, JM Alexander, N Diaz Zeugin, YL Dupont, E Iseli, HMR Mann, ... Biology Letters 18 (7), 20220187, 2022 | 19 | 2022 |
| Hierarchical classification of insects with multitask learning and anomaly detection K Bjerge, Q Geissmann, J Alison, HMR Mann, TT Høye, M Dyrmann, ... Ecological Informatics 77, 102278, 2023 | 5 | 2023 |
| Kamerabaseret overvågning af insekter på grønne bytage TT Høye, HMR Mann, K Bjerge Aarhus Universitet, DCE–Nationalt Center for Miljø og Energi©, 2020 | 3 | 2020 |
| Deep learning to extract the meteorological by‐catch of wildlife cameras J Alison, S Payne, JM Alexander, AD Bjorkman, VR Clark, O Gwate, ... Global Change Biology 30 (1), e17078, 2024 | 1 | 2024 |
| Quantification of invertebrates on fungal fruit bodies by the use of time‐lapse cameras LF Lunde, B Ferkingstad, H Wegger, TT Høye, HMR Mann, T Birkemoe Ecological Entomology 48 (5), 544-556, 2023 | 1 | 2023 |
| Automatic monitoring of plant-pollinator interactions with computer vision and deep learning HMR Mann Aarhus Universitet, 2022 | 1 | 2022 |
| Climate sensitivity of tundra plant-pollinator interactions tracked by computer vision HMR Mann, J Ärje, A Iosifidis, TT Høye Entomology 2019, 2019 | 1 | 2019 |
| A deep learning pipeline for time-lapse camera monitoring of floral environments and insect populations K Bjerge, HMR Mann, TT Hoye, H Karstoft bioRxiv, 2024.04. 12.589205, 2024 | | 2024 |
| Overcoming biodiversity blindness: Secondary data in primary citizen science observations N Pernat, S Canavan, M Golivets, J Hillaert, Y Itescu, I Jarić, HMR Mann, ... Ecological Solutions and Evidence 5 (1), e12295, 2024 | | 2024 |
| AUTOMATED MONITORING USING TIM TT Høye, HMR Mann, K Raundrup, R Ween, P Eidesen | | |
Toke Thomas HøyeProfessor, Department of Ecoscience, Aarhus University, DenmarkПодтвержден адрес электронной почты в домене ecos.au.dk
