Publication2025
Explainable Deep Learning Framework for Child Autism Detection via EEG and Facial Features with Confidence-Based Decision-Level Fusion
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- International — held abroad
- Journal
- Ised 2025 13th International Conference on Intelligent Systems and Embedded Design Proceedings
- Pages
- 334-339
- Published
- 1 January 2025
- DOI
- 10.1109/ised67359.2025.11405005
- Scopus ID
- 105035830651
- Authors
- 6
- Open access
- No
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- BD, 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
3 Ensure healthy lives and promote well-being for all at all ages
Multimodal deep learning achieving 99% accuracy in autism spectrum disorder detection using EEG and facial image features
- 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.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Explainable artificial intelligence and confidence-based fusion methodology for reliable multimodal pediatric diagnostic systems
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- 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
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Multimodal deep learning achieving 99% accuracy in autism spectrum disorder detection using EEG and facial image features
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Explainable Deep Learning Framework for Child Autism Detection via EEG and Facial Features with Confidence-Based Decision-Level Fusion”. Kortex.