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04/14/2023
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction
Explainability in yield prediction helps us fully explore the potential ...
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09/19/2022
SOCRATES: A Stereo Camera Trap for Monitoring of Biodiversity
The development and application of modern technology is an essential bas...
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08/26/2022
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches
Accurate prediction of crop yield before harvest is of great importance ...
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02/09/2022
Distance Estimation and Animal Tracking for Wildlife Camera Trapping
The ongoing biodiversity crysis calls for accurate estimation of animal ...
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05/10/2021
Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling
Biodiversity crisis is still accelerating. Estimating animal abundance i...
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02/16/2021
Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning
Many IoT devices are vulnerable to attacks due to flawed security design...
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02/10/2021
Exploiting Depth Information for Wildlife Monitoring
Camera traps are a proven tool in biology and specifically biodiversity ...
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10/18/2020
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
Automated species identification and delimitation is challenging, partic...
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11/23/2018
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks
In (grapevine) breeding programs and research, periodic phenotyping and ...
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07/19/2018
Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks
In viticulture the epicuticular wax as the outer layer of the berry skin...
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07/10/2018
Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks
Yield and its prediction is one of the most important tasks in grapevine...
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05/10/2018
