| 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 | 354 | 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 | 135 | 2022 |
| An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning K Bjerge, JB Nielsen, MV Sepstrup, F Helsing-Nielsen, TT Høye Sensors 21 (2), 343, 2021 | 117 | 2021 |
| Real-time insect tracking and monitoring with computer vision and deep learning K Bjerge, HMR Mann, TT Høye Remote Sensing in Ecology and Conservation, 2021 | 105 | 2021 |
| A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony K Bjerge, CE Frigaard, PH Mikkelsen, TH Nielsen, M Misbih, P Kryger Computers and Electronics in Agriculture 164, 104898, 2019 | 83 | 2019 |
| 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 | 56 | 2023 |
| A living laboratory exploring mobile support for everyday life with diabetes AM Kanstrup, K Bjerge, JE Kristensen Wireless personal communications 53, 395-408, 2010 | 40 | 2010 |
| 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 | 25 | 2023 |
| Enhancing non-technical skills by a multidisciplinary engineering summer school PG Larsen, EL Kristiansen, J Bennedsen, K Bjerge European Journal of Engineering Education 42 (6), 1076-1096, 2017 | 18 | 2017 |
| A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design K Bjerge, JH Schougaard, DE Larsen Microprocessors and microsystems 87, 104363, 2021 | 16 | 2021 |
| Camera assisted roadside monitoring for invasive alien plant species using deep learning M Dyrmann, AK Mortensen, L Linneberg, TT Høye, K Bjerge Sensors 21 (18), 6126, 2021 | 16 | 2021 |
| Computer vision and deep learning in insects for food and feed production: A review S Nawoya, F Ssemakula, R Akol, Q Geissmann, H Karstoft, K Bjerge, ... Computers and Electronics in Agriculture 216, 108503, 2024 | 15 | 2024 |
| Object detection of small insects in time-lapse camera recordings K Bjerge, CE Frigaard, H Karstoft Sensors 23 (16), 7242, 2023 | 14 | 2023 |
| A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning K Bjerge, JB Nielsen, M Videbæk Sepstrup, F Helsing-Nielsen, TT Høye bioRxiv, 2020.03. 18.996447, 2020 | 14 | 2020 |
| Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects DB Roy, J Alison, TA August, M Bélisle, K Bjerge, JJ Bowden, MJ Bunsen, ... Philosophical Transactions of the Royal Society B 379 (1904), 20230108, 2024 | 13 | 2024 |
| Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed? TT Høye, M Dyrmann, C Kjær, J Nielsen, M Bruus, CL Mielec, ... PeerJ 10, e13837, 2022 | 13 | 2022 |
| Guide for getting started with SystemC development K Bjerge Danish Technological Institute, 2007 | 11 | 2007 |
| Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions MO Jakobsen, ES Herskind, K Bjerge, P Ahrendt, CF Pedersen, ... Tribology International 156, 106840, 2021 | 9 | 2021 |
| A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas S Rysgaard, K Bjerge, W Boone, E Frandsen, M Graversen, TT Høye, ... HardwareX 12, e00331, 2022 | 7 | 2022 |
| Supporting the Partitioning process in Hardware/Software Co-design with VDM-RT JAE Isasa, PG Larsen, K Bjerge Nico Plat, Claus Ballegaard Nielsen and Steve Riddle (Eds.), 5, 2012 | 7 | 2012 |
Toke Thomas HøyeProfessor, Department of Ecoscience, Aarhus University, DenmarkVerified email at ecos.au.dk
