5 citations · 9 across the 3 of their papers we have counts for
3 papers
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Ugochukwu Orji, Çiçek Güven, Dan Stowell
Accurate power load forecasting is essential for the efficient operation and planning of electrical grids, particularly given the increased variability and complexity introduced by…
animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9
Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
Rita Pucci, Vincent J. Kalkman, Dan Stowell
With fine-grained classification, we identify unique characteristics to distinguish among classes of the same super-class. We are focusing on species recognition in Insecta, as the…