debug
{'doi': '10.1049/icp.2021.1433', 'member_id': '265', 'member': 'Institution of Engineering and Technology', 'container-title': '11th International Conference of Pattern Recognition Systems (ICPRS 2021)', 'primary-resource': 'https://digital-library.theiet.org/content/conferences/10.1049/icp.2021.1433', 'tld': 'theiet.org', 'clearbit-logo': 'https://logo.clearbit.com/theiet.org', 'coaccess': [], 'multiple-resolution': [{'url': 'https://ieeexplore.ieee.org/document/9569011', 'tld': 'ieee.org', 'clearbit-logo': 'https://logo.clearbit.com/ieee.org'}], 'type': 'PROCEEDINGS ARTICLE', 'published_date': '2021', 'publication': '11th International Conference of Pattern Recognition Systems (ICPRS 2021)', 'supplementary_ids': None, 'title': 'Using neural and distance-based machine learning techniques in order to identify genuine and acted emotions from facial expressions', 'name': None, 'id': None, 'location': None, 'display_doi': 'https://doi.org/10.1049/icp.2021.1433', 'grant_info': None, 'editors': None, 'authors': 'J. Rannow Budke | M. Da Costa-Abreu', 'chairs': None}
https://doi.org/10.1049/icp.2021.1433
JSON
XML
Total 29 GB
used 11 GB
Free 16 GB