[HTML][HTML] Artificial intelligence in paleontology

C Yu, F Qin, A Watanabe, W Yao, Y Li, Z Qin, Y Liu… - Earth-Science …, 2024 - Elsevier
The accumulation of large datasets and increasing data availability have led to the
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …

Deep learning to capture leaf shape in plant images: Validation by geometric morphometrics

L Hodač, K Karbstein, L Kösters, M Rzanny… - The Plant …, 2024 - Wiley Online Library
Plant leaves play a pivotal role in automated species identification using deep learning (DL).
However, achieving reproducible capture of leaf variation remains challenging due to the …

AI in paleontology

C Yu, F Qin, A Watanabe, W Yao, Y Li, Z Qin, Y Liu… - bioRxiv, 2023 - biorxiv.org
Accumulating data have led to the emergence of data-driven paleontological studies, which
reveal an unprecedented picture of evolutionary history. However, the fast-growing quantity …

Explainable Object Detection in the Field of Search and Rescue Robotics

P Hönig, W Wöber - International Conference on Robotics in Alpe-Adria …, 2023 - Springer
State-of-the-art object detection in search and rescue robotics relies on CNNs, which reach
excellent scores but lack explainability due to their “black box” characteristic. In such a …