output
20052026
most citedHigh-resolution remote thermography using luminescent low-dimensional tin-halide perovskites

367 citations

Showing cs.LGShow all

5 papers · 1 filter

cs.LG2025★ 1 cited

SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors

Baptiste Schubnel, Jelena Simeunović, Corentin Tissier +2

Accurate day-ahead forecasts of solar irradiance are required for the large-scale integration of solar photovoltaic (PV) systems into the power grid. However, current forecasting s…

cs.LG2021★ 260 cited

Spatio-temporal graph neural networks for multi-site PV power forecasting

Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet +1

Accurate forecasting of solar power generation with fine temporal and spatial resolution is vital for the operation of the power grid. However, state-of-the-art approaches that com…

cs.LG2020★ 7 cited

Cardiac Arrhythmia Detection from ECG with Convolutional Recurrent Neural Networks

Jérôme Van Zaen, Ricard Delgado-Gonzalo, Damien Ferrario Mathieu Lemay

Except for a few specific types, cardiac arrhythmias are not immediately life-threatening. However, if not treated appropriately, they can cause serious complications. In particula…

cs.LG2019★ 42 cited

Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households

Jordan Holweger, Marina Dorokhova, Lionel Bloch +2

Non-intrusive load monitoring (NILM) has been extensively researched over the last decade. The objective of NILM is to identify the power consumption of individual appliances and t…

cs.LG2019★ 5 cited

Embedded Deep Learning for Sleep Staging

Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo

The rapidly-advancing technology of deep learning (DL) into the world of the Internet of Things (IoT) has not fully entered in the fields of m-Health yet. Among the main reasons ar…