{"id":"https://openalex.org/W3195946901","doi":"https://doi.org/10.1038/s42256-021-00414-y","title":"Interpretable deep-learning models to help achieve the Sustainable Development Goals","display_name":"Interpretable deep-learning models to help achieve the Sustainable Development Goals","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3195946901","doi":"https://doi.org/10.1038/s42256-021-00414-y","mag":"3195946901"},"language":"en","primary_location":{"id":"doi:10.1038/s42256-021-00414-y","is_oa":false,"landing_page_url":"https://doi.org/10.1038/s42256-021-00414-y","pdf_url":null,"source":{"id":"https://openalex.org/S2912241403","display_name":"Nature Machine Intelligence","issn_l":"2522-5839","issn":["2522-5839"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Machine Intelligence","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.10744","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049616413","display_name":"Ricardo Vinuesa","orcid":"https://orcid.org/0000-0001-6570-5499"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Ricardo Vinuesa","raw_affiliation_strings":["AI Sustainability Center, Stockholm, Sweden","FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"AI Sustainability Center, Stockholm, Sweden","institution_ids":[]},{"raw_affiliation_string":"FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056056423","display_name":"Beril S\u0131rma\u00e7ek","orcid":"https://orcid.org/0000-0002-0343-5072"},"institutions":[{"id":"https://openalex.org/I2801398864","display_name":"Saxion University of Applied Sciences","ror":"https://ror.org/005t9n460","country_code":"NL","type":"education","lineage":["https://openalex.org/I2801398864"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Beril Sirmacek","raw_affiliation_strings":["Smart Cities, School of Creative Technology, Saxion University of Applied Sciences, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Smart Cities, School of Creative Technology, Saxion University of Applied Sciences, Enschede, The Netherlands","institution_ids":["https://openalex.org/I2801398864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049616413"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":{"value":9750,"currency":"EUR","value_usd":11690},"apc_paid":null,"fwci":0.9786,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80704536,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"3","issue":"11","first_page":"926","last_page":"926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9606999754905701,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6678518652915955},{"id":"https://openalex.org/keywords/sustainable-development","display_name":"Sustainable development","score":0.6149290800094604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6113713383674622},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5656982660293579},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5399197936058044},{"id":"https://openalex.org/keywords/development","display_name":"Development (topology)","score":0.46048957109451294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42430251836776733},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33985331654548645},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3262718617916107},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.14403218030929565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1435055136680603},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07869678735733032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06313198804855347}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6678518652915955},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.6149290800094604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6113713383674622},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5656982660293579},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5399197936058044},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.46048957109451294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42430251836776733},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33985331654548645},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3262718617916107},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.14403218030929565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1435055136680603},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07869678735733032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06313198804855347},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1038/s42256-021-00414-y","is_oa":false,"landing_page_url":"https://doi.org/10.1038/s42256-021-00414-y","pdf_url":null,"source":{"id":"https://openalex.org/S2912241403","display_name":"Nature Machine Intelligence","issn_l":"2522-5839","issn":["2522-5839"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Machine Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2108.10744","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.10744","pdf_url":"https://arxiv.org/pdf/2108.10744","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3195946901","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2108.10744","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2108.10744","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2108.10744","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.10744","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.10744","pdf_url":"https://arxiv.org/pdf/2108.10744","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322581","display_name":"Vetenskapsr\u00e5det","ror":"https://ror.org/03zttf063"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3195946901.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2193121729","https://openalex.org/W2513506629","https://openalex.org/W2515586274","https://openalex.org/W2924181074","https://openalex.org/W2945976633","https://openalex.org/W2963989815","https://openalex.org/W2990621239","https://openalex.org/W3000603264","https://openalex.org/W3080298681","https://openalex.org/W3102090196","https://openalex.org/W3128803576","https://openalex.org/W3133007915","https://openalex.org/W3154435685","https://openalex.org/W3195144758"],"related_works":["https://openalex.org/W3208493710","https://openalex.org/W2996845745","https://openalex.org/W3167366172","https://openalex.org/W3210617016","https://openalex.org/W2876786669","https://openalex.org/W2395302562","https://openalex.org/W3125458322","https://openalex.org/W2396806812","https://openalex.org/W2021983667","https://openalex.org/W3183787761","https://openalex.org/W3211638148","https://openalex.org/W1990222072","https://openalex.org/W2970000260","https://openalex.org/W3124405231","https://openalex.org/W3195366200","https://openalex.org/W2061698907","https://openalex.org/W2037472457","https://openalex.org/W2015519473","https://openalex.org/W2911334953","https://openalex.org/W2479182350"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}