Cross-correlation Features
Cross-Correlation Features is a temporal feature engineering method that quantifies the similarity between two time series as a function of the displacement of one relative to the other, distinguishing itself by capturing lag-dependent linear relationships useful for predictive modeling.
198
Publications
9.1K
Citations
681
Authors
334
Institutions
Publications per year
2017–2026
84
198
Quantum Cascade of Photons in Semiconductor Quantum Dots
Emmanuel Moreau, Isabelle Robert, L. Manin et al. · Physical Review Letters · 2001 · 324 citations
Natural Sciences, Physics, Photonics +13
Non-Classical States of the Electromagnetic Field
L. Mandeļ · Physica Scripta · 1986 · 285 citations
Natural Sciences, Physics, Optics +13
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334

Jadavpur University
Kolkata, India
6 h-index
15 publications
430 citations
Tsinghua University
Beijing, China
5 h-index
19 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
13 publications
2.2K citations
National University of Singapore
Singapore, Singapore
4 h-index
12 publications
256 citations
University of Washington
Seattle, United States
4 h-index
5 publications
150 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
181 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
8 publications
157 citations

Beihang University
Beijing, China
3 h-index
5 publications
76 citations
1–8 of 334
Repository · 6 publications · 144 citations
6
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5 publications · 153 citations
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AJ · 4 publications · 197 citations
4
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4 publications · 132 citations
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Conference · 4 publications · 297 citations
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