Publication2025
Adaptive Logistic Regression: Leveraging Arctan in Active Learning
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- International Conference on Signal Processing and Communication ICSC
- Issue
- 2025
- Pages
- 608-612
- Published
- 1 January 2025
- DOI
- 10.1109/icsc64553.2025.10968235
- Scopus ID
- 105005724527
- ISSN
- 26434458
- Authors
- 1
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Arctan-based logistic regression methodology for active learning addresses labeled data scarcity and advances machine learning research capacity.
- Certain confidence
- The record states the subject matter explicitly. A reader shown only the title and this goal would agree without hesitation. Example: a workshop titled "Renewable Energy and Smart Grid" against SDG 7.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Artificial intelligence algorithm development contributes to digital technology and machine learning research advancement.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Adaptive Logistic Regression: Leveraging Arctan in Active Learning”. Kortex.