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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

An Interpretable Machine Learning Approach to Decode Event-Related Oscillations during Motor-Imagery

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
Ismsit 2025 9th International Symposium on Multidisciplinary Studies and Innovative Technologies Proceedings
Published
1 January 2025
DOI
10.1109/ismsit67332.2025.11268009
Scopus ID
105031056287
Authors
4
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, US

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

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryModerate confidenceJudged

    Interpretable machine learning decodes motor imagery from brain signals for brain-computer interface prosthetics applications

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    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

  2. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    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.
    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Brain-computer interface research using interpretable AI enables assistive technology for disabled users

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “An Interpretable Machine Learning Approach to Decode Event-Related Oscillations during Motor-Imagery”. Kortex.

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