A bimodal image dataset for seed classification from the visible and near-infrared spectrum

Optimization of the purity analysis of rapeseed by using hyperspectral imaging in the spectral range from 400 to 1600 nm

The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition

The Regulatory Character of Boredom in AI – Towards a Self-Regulating System based on Spiking Neural Networks

Analysis of auditory oddball paradigm during hypnosis

BiMAE – A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video

On optimizing morphological neural networks for hyperspectral image classification

Automating the purity analysis of oilseed rape through usage of hyperspectral imaging

BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing

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