{"id":"https://openalex.org/W7169553577","doi":"https://doi.org/10.1007/978-3-032-32112-1_25","title":"Interpretable Machine Learning for\u00a0Academic Performance Profiles: A Clustering and\u00a0Classification Approach with\u00a0Feature-Based Explanations","display_name":"Interpretable Machine Learning for\u00a0Academic Performance Profiles: A Clustering and\u00a0Classification Approach with\u00a0Feature-Based Explanations","publication_year":2026,"publication_date":"2026-07-17","ids":{"openalex":"https://openalex.org/W7169553577","doi":"https://doi.org/10.1007/978-3-032-32112-1_25"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-32112-1_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-32112-1_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021420884","display_name":"Priscila Valdiviezo-D\u00edaz","orcid":"https://orcid.org/0000-0002-5216-8820"},"institutions":[{"id":"https://openalex.org/I100205273","display_name":"Universidad T\u00e9cnica Particular de Loja","ror":"https://ror.org/04dvbth24","country_code":"EC","type":"education","lineage":["https://openalex.org/I100205273"]}],"countries":["EC"],"is_corresponding":true,"raw_author_name":"Priscila Valdiviezo-Diaz","raw_affiliation_strings":["Universidad T\u00e9cnica Particular de Loja, Computer Science and Electronic Department, Loja, 1101608, Ecuador"],"raw_orcid":"https://orcid.org/0000-0002-5216-8820","affiliations":[{"raw_affiliation_string":"Universidad T\u00e9cnica Particular de Loja, Computer Science and Electronic Department, Loja, 1101608, Ecuador","institution_ids":["https://openalex.org/I100205273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021420884"],"corresponding_institution_ids":["https://openalex.org/I100205273"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"251","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8984000086784363},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6151999831199646},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4609000086784363},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.413100004196167},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.3910999894142151},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3896999955177307},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3894999921321869},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3068000078201294}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8984000086784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8410000205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133999705314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.800000011920929},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3910999894142151},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C39235581","wikidata":"https://www.wikidata.org/wiki/Q5158434","display_name":"Conceptual clustering","level":5,"score":0.2824000120162964},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2781206393","wikidata":"https://www.wikidata.org/wiki/Q2748419","display_name":"Academic achievement","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-32112-1_25","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-32112-1_25","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2962772482","https://openalex.org/W3176714582","https://openalex.org/W3201153983","https://openalex.org/W4214726584","https://openalex.org/W4312259088","https://openalex.org/W4385688908","https://openalex.org/W4391513906","https://openalex.org/W4392544175","https://openalex.org/W4396534423","https://openalex.org/W4396704776","https://openalex.org/W4400726851","https://openalex.org/W4407429881","https://openalex.org/W4409252254","https://openalex.org/W4414995122","https://openalex.org/W4417431751","https://openalex.org/W7117293930"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-18T05:58:53.570196","created_date":"2026-07-18T00:00:00"}