Temporal Feature Design
Temporal Feature Design is a domain-specific feature engineering methodology that distinguishes itself by explicitly modeling time-dependent patterns and sequential dynamics inherent in temporal data to enhance predictive performance in time-aware machine learning tasks.
23
Publications
682
Citations
84
Authors
47
Institutions
Publications per year
2017–2026
10
23
Steven Bethard, James Martin · 2007 · 75 citations · Full text
Multivariate Time Series Classification with Temporal Abstractions
Iyad Batal, Lucia Sacchi, Riccardo Bellazzi et al. · 2009 · 55 citations
1–5 of 23
84
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 84
47
Sant Gadge Baba Amravati University
Amravati, India
1 h-index
1 publications
10 citations
New York University
New York, United States
1 h-index
1 publications
11 citations

Sichuan University
Chengdu, China
1 h-index
3 publications
84 citations

ITMO University
St Petersburg, Russia
1 h-index
2 publications
54 citations
Network Technologies (United States)
Aurora, United States
1 h-index
1 publications
12 citations

China Medical University
Taichung, Taiwan
1 h-index
2 publications
22 citations
Hainan University
Haikou, China
1 h-index
1 publications
12 citations

National Chengchi University
Taipei, Taiwan
1 h-index
1 publications
11 citations
1–8 of 47
1 publications · 28 citations
1
h-index
1 publications · 29 citations
1
h-index
1 publications · 40 citations
1
h-index
1 publications · 14 citations
1
h-index
Repository · 1 publications · 15 citations
1
h-index
1–5