{"id":"https://openalex.org/W4415551811","doi":"https://doi.org/10.1016/j.knosys.2025.114770","title":"Causal inference-informed explainable selective weighted ensemble for predicting ultra-high-performance concrete compressive strength","display_name":"Causal inference-informed explainable selective weighted ensemble for predicting ultra-high-performance concrete compressive strength","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W4415551811","doi":"https://doi.org/10.1016/j.knosys.2025.114770"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2025.114770","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.114770","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-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/A5040751484","display_name":"Kamarthi Aparna","orcid":"https://orcid.org/0000-0002-6859-4365"},"institutions":[{"id":"https://openalex.org/I122964287","display_name":"National Institute of Technology Tiruchirappalli","ror":"https://ror.org/047x65e68","country_code":"IN","type":"education","lineage":["https://openalex.org/I122964287"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aparna Kamarthi","raw_affiliation_strings":["Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India","institution_ids":["https://openalex.org/I122964287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034461736","display_name":"K. Baskar","orcid":"https://orcid.org/0000-0003-2967-9267"},"institutions":[{"id":"https://openalex.org/I122964287","display_name":"National Institute of Technology Tiruchirappalli","ror":"https://ror.org/047x65e68","country_code":"IN","type":"education","lineage":["https://openalex.org/I122964287"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Baskar Kaliyamoorthy","raw_affiliation_strings":["Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India","institution_ids":["https://openalex.org/I122964287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040751484"],"corresponding_institution_ids":["https://openalex.org/I122964287"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":null,"fwci":1.0261,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81143414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"330","issue":null,"first_page":"114770","last_page":"114770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10687","display_name":"Innovative concrete reinforcement materials","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10687","display_name":"Innovative concrete reinforcement materials","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10033","display_name":"Concrete and Cement Materials Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/mean-squared-error","display_name":"Mean squared error","score":0.7264000177383423},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6514000296592712},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.5238000154495239},{"id":"https://openalex.org/keywords/compressive-strength","display_name":"Compressive strength","score":0.4327000081539154},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4081000089645386},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4050999879837036},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3564999997615814},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.3555999994277954},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7264000177383423},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6514000296592712},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.5238000154495239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47589999437332153},{"id":"https://openalex.org/C30407753","wikidata":"https://www.wikidata.org/wiki/Q186191","display_name":"Compressive strength","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4050999879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3926999866962433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38940000534057617},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31790000200271606},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C132976073","wikidata":"https://www.wikidata.org/wiki/Q2991861","display_name":"Curing (chemistry)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2025.114770","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2025.114770","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2747429291","https://openalex.org/W4313559833","https://openalex.org/W4322622270","https://openalex.org/W4366462707","https://openalex.org/W4367052406","https://openalex.org/W4367609931","https://openalex.org/W4367675608","https://openalex.org/W4385657533","https://openalex.org/W4389151716","https://openalex.org/W4389219716","https://openalex.org/W4390108621","https://openalex.org/W4390431286","https://openalex.org/W4390636652","https://openalex.org/W4391771697","https://openalex.org/W4391896134","https://openalex.org/W4393052740","https://openalex.org/W4393931177","https://openalex.org/W4394590090","https://openalex.org/W4394769928","https://openalex.org/W4394823075","https://openalex.org/W4395020371","https://openalex.org/W4395475935","https://openalex.org/W4396521000","https://openalex.org/W4399060604","https://openalex.org/W4399240097","https://openalex.org/W4399469523","https://openalex.org/W4399730606","https://openalex.org/W4399883324","https://openalex.org/W4400177404","https://openalex.org/W4400234709","https://openalex.org/W4400555552","https://openalex.org/W4400609028","https://openalex.org/W4400870892","https://openalex.org/W4400909303","https://openalex.org/W4401241647","https://openalex.org/W4401555613","https://openalex.org/W4402687127","https://openalex.org/W4402894584","https://openalex.org/W4403906379","https://openalex.org/W4404406079","https://openalex.org/W4404460727","https://openalex.org/W4405309395","https://openalex.org/W4405791277","https://openalex.org/W4405957006","https://openalex.org/W4406203696","https://openalex.org/W4406852850","https://openalex.org/W4407898093","https://openalex.org/W4408419068","https://openalex.org/W4409116347","https://openalex.org/W4409662712","https://openalex.org/W4410219032","https://openalex.org/W4410360609","https://openalex.org/W4411080248","https://openalex.org/W4411853649","https://openalex.org/W4412075372","https://openalex.org/W4412199316","https://openalex.org/W4413512933"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-26T00:00:00"}