Interactive Parameter Tuning
Interactive Parameter Tuning is an interactive filtering technique that enables users to dynamically adjust parameter values of a model or system in real time, with immediate visual or computational feedback, to refine outputs or explore data spaces according to evolving cognitive or analytical goals.
31
Publications
1.3K
Citations
112
Authors
48
Institutions
Publications per year
2017–2026
16
31
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Canwen Xu, Daya Guo, Nan Duan et al. · 2023 · 115 citations · Full text
Alfred S. Carasso · SIAM Journal on Applied Mathematics · 2001 · 97 citations
RS-FISH: precise, interactive, fast, and scalable FISH spot detection
Ella Bahry, Laura Breimann, Marwan Zouinkhi et al. · Nature Methods · 2022 · 90 citations · Full text
1–5 of 31
112
Korea Advanced Institute of Science and Technology, South Korea
2 publications · 64 citations
2
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2
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2
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2
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TH Köln - University of Applied Sciences, Germany
2 publications · 58 citations
2
h-index
1–5 of 112
48
Max Delbrück Center
Berlin, Germany
2 h-index
13 publications
687 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
2 publications
78 citations

Howard Hughes Medical Institute
Chevy Chase, United States
2 h-index
6 publications
333 citations

Institute for Systems Biology
Seattle, United States
2 h-index
4 publications
291 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
7 publications
199 citations
New York University
New York, United States
2 h-index
2 publications
111 citations

Janelia Research Campus
Ashburn, United States
2 h-index
6 publications
333 citations

University of Liverpool
Liverpool, United Kingdom
1 h-index
1 publications
33 citations
1–8 of 48
TVCG · 2 publications · 52 citations
2
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2 publications · 64 citations
2
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Repository · 1 publications · 21 citations
1
h-index
1 publications · 102 citations
1
h-index
1 publications · 26 citations
1
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1–5