{"id":"https://openalex.org/W3092255774","doi":"https://doi.org/10.1145/3368308.3415382","title":"Interpretable Deep Learning for University Dropout Prediction","display_name":"Interpretable Deep Learning for University Dropout Prediction","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W3092255774","doi":"https://doi.org/10.1145/3368308.3415382","mag":"3092255774"},"language":"en","primary_location":{"id":"doi:10.1145/3368308.3415382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368308.3415382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Annual Conference on Information Technology Education","raw_type":"proceedings-article"},"type":"article","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/A5023148083","display_name":"M\u00e1t\u00e9 Baranyi","orcid":"https://orcid.org/0000-0003-4415-4805"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"M\u00e1t\u00e9 Baranyi","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032944996","display_name":"Marcell Nagy","orcid":"https://orcid.org/0000-0001-5666-7777"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Marcell Nagy","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080190018","display_name":"Roland Molontay","orcid":"https://orcid.org/0000-0002-0666-5279"},"institutions":[{"id":"https://openalex.org/I4210134174","display_name":"Montavid Thermodynamic Research Group","ror":"https://ror.org/02s8j2573","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210134174"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Roland Molontay","raw_affiliation_strings":["MTA-BME Stochastics Research Group, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MTA-BME Stochastics Research Group, Budapest, Hungary","institution_ids":["https://openalex.org/I4210134174"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.9435,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.9810318,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"13","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13844","display_name":"Higher Education Learning Practices","score":0.9194999933242798,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9154000282287598,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.915192723274231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7665883302688599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7529502511024475},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7161839008331299},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6796520948410034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.663410484790802},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5374423265457153},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.45011812448501587}],"concepts":[{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.915192723274231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7665883302688599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7529502511024475},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7161839008331299},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6796520948410034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.663410484790802},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5374423265457153},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.45011812448501587},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3368308.3415382","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368308.3415382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Annual Conference on Information Technology Education","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1123184491","https://openalex.org/W1633048290","https://openalex.org/W1965848727","https://openalex.org/W2035337125","https://openalex.org/W2106717332","https://openalex.org/W2113928737","https://openalex.org/W2129888542","https://openalex.org/W2313313380","https://openalex.org/W2487898712","https://openalex.org/W2572386335","https://openalex.org/W2605961645","https://openalex.org/W2606494063","https://openalex.org/W2617300785","https://openalex.org/W2624413595","https://openalex.org/W2753126711","https://openalex.org/W2782041652","https://openalex.org/W2791021147","https://openalex.org/W2799194347","https://openalex.org/W2893802547","https://openalex.org/W2899861016","https://openalex.org/W2911495555","https://openalex.org/W2911964244","https://openalex.org/W2944162469","https://openalex.org/W2969724595","https://openalex.org/W2972470287","https://openalex.org/W3005006660","https://openalex.org/W3012403260","https://openalex.org/W3013620967","https://openalex.org/W3017257313","https://openalex.org/W3045479688"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2952088488"],"abstract_inverted_index":{"The":[0,89,133],"early":[1,22],"identification":[2],"of":[3,8,11,24,79,85,103,120,137],"college":[4],"students":[5,80],"at":[6,81,100],"risk":[7],"dropout":[9,43,90],"is":[10,27,45,92],"great":[12],"interest":[13],"and":[14,32,67,87,130,135,145],"importance":[15,129],"all":[16],"over":[17],"the":[18,21,42,51,75,82,95,101,108,118,138,152],"world,":[19],"since":[20],"leaving":[23],"higher":[25,49],"education":[26],"associated":[28],"with":[29,117],"considerable":[30],"personal":[31],"social":[33],"costs.":[34],"In":[35,54,105],"Hungary,":[36],"especially":[37],"in":[38],"STEM":[39],"undergraduate":[40],"programs,":[41],"rate":[44],"particularly":[46],"high,":[47],"much":[48],"than":[50],"EU":[52],"average.":[53],"this":[55],"work,":[56],"using":[57],"advanced":[58],"machine":[59,114,123],"learning":[60,115,124,141],"models":[61,116],"such":[62,126],"as":[63,127],"deep":[64,140],"neural":[65],"networks":[66],"gradient":[68],"boosted":[69],"trees,":[70],"we":[71,110],"aim":[72],"to":[73,107],"predict":[74],"final":[76],"academic":[77],"performance":[78],"Budapest":[83],"University":[84],"Technology":[86],"Economics.":[88],"prediction":[91],"based":[93],"on":[94],"data":[96],"that":[97,148],"are":[98,143],"available":[99],"time":[102],"enrollment.":[104],"addition":[106],"predictions,":[109],"also":[111],"interpret":[112],"our":[113],"help":[119],"state-of-the-art":[121],"interpretable":[122],"techniques":[125],"permutation":[128],"SHAP":[131],"values.":[132],"accuracy":[134],"AUC":[136],"best-performing":[139],"model":[142,155],"72.4%":[144],"0.771,":[146],"respectively":[147],"slightly":[149],"outperforms":[150],"XGBoost,":[151],"cutting-edge":[153],"benchmark":[154],"for":[156],"tabular":[157],"data.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
