21 citations
- Munich Center for Machine Learning2 papers
- Sun Yat-sen UniversityCN2 papers
- Technical University of MunichDE2 papers
- Consorzio Roma RicercheIT1 paper
- Czech Academy of Sciences, Institute of Computer ScienceCZ1 paper
- Fujian Agriculture and Forestry UniversityCN1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
- Guangdong University of TechnologyCN1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- Imperial College LondonGB1 paper
- Institute of Particle and Nuclear Studies1 paper
- Kyoto UniversityJP1 paper
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cs.CV2024★ 1 cited
EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)
Mirza Tanzim Sami, Da Yan, Saugat Adhikari +5
Accurate and timely mapping of flood extent from high-resolution satellite imagery plays a crucial role in disaster management such as damage assessment and relief activities. Howe…
eess.SP2024★ 6 cited
Comparison analysis between standard polysomnographic data and in-ear-EEG signals: A preliminary study
Gianpaolo Palo, Luigi Fiorillo, Giuliana Monachino +8
Study Objectives: Polysomnography (PSG) currently serves as the benchmark for evaluating sleep disorders. Its discomfort makes long-term monitoring unfeasible, leading to bias in s…