Multisensor Regression
Multisensor Regression is a regression framework that fuses continuous or discrete data streams from multiple heterogeneous sensors into a unified predictive model to estimate a target variable, distinguished by its integration of cross-modal sensor inputs at an early stage for enhanced inference accuracy.
11
Publications
651
Citations
70
Authors
24
Institutions
Publications per year
2017–2026
3
Parents
11
Saverio De Vito, E. Esposito, M. Salvato et al. · Sensors and Actuators B Chemical · 2017 · 117 citations · Full text
Dominik Ślȩzak, Marek Grzegorowski, Andrzej Janusz et al. · Information Sciences · 2018 · 66 citations
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The University of Texas at El Paso
El Paso, United States
1 h-index
1 publications
65 citations

Oak Ridge National Laboratory
Oak Ridge, United States
1 h-index
1 publications
65 citations

University of Alaska Fairbanks
Fairbanks, United States
1 h-index
1 publications
65 citations

Ulsan National Institute of Science and Technology
Ulsan, South Korea
1 h-index
3 publications
72 citations
Goddard Space Flight Center
Greenbelt, United States
1 h-index
1 publications
33 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
2 publications
234 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
1 h-index
5 publications
325 citations

University of Padua
Padua, Italy
1 h-index
5 publications
145 citations
1–8 of 24
1 publications · 66 citations
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1 publications · 117 citations
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1 publications · 164 citations
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1 publications · 29 citations
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1 publications · 52 citations
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