Interpolation Features
Interpolation Features is a time series feature engineering method that generates informative attributes by estimating missing or unobserved values within a temporal sequence using mathematical interpolation techniques, thereby preserving underlying temporal dynamics and enhancing predictive model performance.
4
Publications
85
Citations
13
Authors
8
Institutions
Publications per year
2017–2026
2
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Robertas Damaševičius, Olusola Abayomi‐Alli, Rytis Maskeliūnas et al. · Annals of Computer Science and Information Systems · 2020 · 48 citations · Full text
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13
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Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Portugal
1 publications · 10 citations
1
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1–5 of 13
8
School of Visual Arts
New York, United States
1 h-index
1 publications
10 citations

Kaunas University of Technology
Kaunas, Lithuania
1 h-index
2 publications
96 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
1 h-index
3 publications
48 citations

Federal University of Agriculture
Abeokuta, Nigeria
1 h-index
1 publications
48 citations
Vytautas Magnus University
Kaunas, Lithuania
1 h-index
1 publications
48 citations

Pennsylvania State University
State College, United States
1 h-index
3 publications
30 citations
University of Lisbon
Lisbon, Portugal
1 h-index
1 publications
10 citations
Atlântica Instituto Universitário
Barcarena, Portugal
1 h-index
3 publications
48 citations
1–8 of 8
1 publications · 16 citations
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AIEDAM · 1 publications · 10 citations
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Conference · 1 publications · 48 citations
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1 publications · 13 citations
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