Submitted outputs' details

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Using Machine Learning Advances to Unravel Patterns in Subject Areas and Performances of University Students with Special Educational Needs and Disabilities (MALSEND): A Conceptual Approach

Submitting institution: Solent University, Southampton
Unit of assessment: 20 - Social Work and Social Policy
Output identifier: drishty.sobnath1
Type: E - Conference contribution
DOI: 10.1007/978-981-32-9343-4_41
Title of conference / published proceedings: Advances in Intelligent Systems and Computing;Fourth International Congress on Information and Communication Technology
First page: 509-517
Volume: -
Issue: -
ISSN: 2194-5357
Open access status: Other exception
Month of publication: January
Year of publication: 2020
URL: https://link.springer.com/chapter/10.1007/978-981-32-9343-4_41
Supplementary information: -
Request cross-referral to: -
Output has been delayed by COVID-19: No
COVID-19 affected output statement: -
Forensic science: No
Criminology: No
Interdisciplinary: No
Number of additional authors: 3
Research group(s): -
Proposed double-weighted: No
Reserve for an output with double weighting: No
Additional information: -
Author contribution statement: -
Non-English: No
English abstract: -