{"id":"https://openalex.org/W4411976820","doi":"https://doi.org/10.5220/0013555800003967","title":"Predictors of Freshmen Attrition: A Case Study of Bayesian Methods and Probabilistic Programming","display_name":"Predictors of Freshmen Attrition: A Case Study of Bayesian Methods and Probabilistic Programming","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411976820","doi":"https://doi.org/10.5220/0013555800003967"},"language":"en","primary_location":{"id":"doi:10.5220/0013555800003967","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013555800003967","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0013555800003967","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086252678","display_name":"Eitel J. M. Laur\u00eda","orcid":"https://orcid.org/0000-0003-3079-3657"},"institutions":[{"id":"https://openalex.org/I926137907","display_name":"Marist University","ror":"https://ror.org/04wx3x242","country_code":"US","type":"education","lineage":["https://openalex.org/I926137907"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eitel Laur\u00eda","raw_affiliation_strings":["School of Computer Science and Mathematics, Marist University, Poughkeepsie, New York, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Mathematics, Marist University, Poughkeepsie, New York, U.S.A","institution_ids":["https://openalex.org/I926137907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086252678"],"corresponding_institution_ids":["https://openalex.org/I926137907"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13197","display_name":"Spreadsheets and End-User Computing","score":0.8366000056266785,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.8366000056266785,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.743399977684021,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/attrition","display_name":"Attrition","score":0.7839487195014954},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6736472249031067},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6548235416412354},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5571792721748352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38878709077835083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38425126671791077}],"concepts":[{"id":"https://openalex.org/C2780553607","wikidata":"https://www.wikidata.org/wiki/Q684868","display_name":"Attrition","level":2,"score":0.7839487195014954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736472249031067},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6548235416412354},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5571792721748352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38878709077835083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38425126671791077},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0013555800003967","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013555800003967","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0013555800003967","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0013555800003967","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}