{"id":"https://openalex.org/W7164353936","doi":"https://doi.org/10.1007/s12530-026-09836-8","title":"Causal-siamese: similarity-based treatment effect estimation with limited data","display_name":"Causal-siamese: similarity-based treatment effect estimation with limited data","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164353936","doi":"https://doi.org/10.1007/s12530-026-09836-8"},"language":"en","primary_location":{"id":"doi:10.1007/s12530-026-09836-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12530-026-09836-8","pdf_url":null,"source":{"id":"https://openalex.org/S202254422","display_name":"Evolving Systems","issn_l":"1868-6478","issn":["1868-6478","1868-6486"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolving 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/A5074255083","display_name":"Ioannis E. Livieris","orcid":"https://orcid.org/0000-0002-3996-3301"},"institutions":[{"id":"https://openalex.org/I158716096","display_name":"University of Peloponnese","ror":"https://ror.org/04d4d3c02","country_code":"GR","type":"education","lineage":["https://openalex.org/I158716096"]},{"id":"https://openalex.org/I2802303737","display_name":"Technological Educational Institute of Peloponnese","ror":"https://ror.org/04c691616","country_code":"GR","type":"education","lineage":["https://openalex.org/I2802303737"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis E. Livieris","raw_affiliation_strings":["Department of Business & Organization Administration, University of Peloponnese, Kalamata, GR 241-00, Greece"],"raw_orcid":"https://orcid.org/0000-0002-3996-3301","affiliations":[{"raw_affiliation_string":"Department of Business & Organization Administration, University of Peloponnese, Kalamata, GR 241-00, Greece","institution_ids":["https://openalex.org/I158716096","https://openalex.org/I2802303737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015815927","display_name":"Niki Kiriakidou","orcid":"https://orcid.org/0000-0003-1729-4124"},"institutions":[{"id":"https://openalex.org/I4210152232","display_name":"Institute of Informatics of the Slovak Academy of Sciences","ror":"https://ror.org/04jgqpc26","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210152232"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Niki Kiriakidou","raw_affiliation_strings":["Department of Informatics and Telematics, University of Pireaus, Pireaus, GR 185-34, Greece"],"raw_orcid":"https://orcid.org/0000-0003-1729-4124","affiliations":[{"raw_affiliation_string":"Department of Informatics and Telematics, University of Pireaus, Pireaus, GR 185-34, Greece","institution_ids":["https://openalex.org/I4210152232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004953619","display_name":"Christos Diou","orcid":"https://orcid.org/0000-0002-2461-1928"},"institutions":[{"id":"https://openalex.org/I4210152232","display_name":"Institute of Informatics of the Slovak Academy of Sciences","ror":"https://ror.org/04jgqpc26","country_code":"SK","type":"facility","lineage":["https://openalex.org/I207624831","https://openalex.org/I4210152232"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Christos Diou","raw_affiliation_strings":["Department of Informatics and Telematics, University of Pireaus, Pireaus, GR 185-34, Greece"],"raw_orcid":"https://orcid.org/0000-0002-2461-1928","affiliations":[{"raw_affiliation_string":"Department of Informatics and Telematics, University of Pireaus, Pireaus, GR 185-34, Greece","institution_ids":["https://openalex.org/I4210152232"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074255083"],"corresponding_institution_ids":["https://openalex.org/I158716096","https://openalex.org/I2802303737"],"apc_list":{"value":2590,"currency":"USD","value_usd":2590},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63022599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.0010000000474974513,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.5794000029563904},{"id":"https://openalex.org/keywords/average-treatment-effect","display_name":"Average treatment effect","score":0.5540000200271606},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5333999991416931},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5187000036239624},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5116000175476074},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45260000228881836},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42750000953674316},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42089998722076416},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41999998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7028999924659729},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5794000029563904},{"id":"https://openalex.org/C89337504","wikidata":"https://www.wikidata.org/wiki/Q4828276","display_name":"Average treatment effect","level":3,"score":0.5540000200271606},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5187000036239624},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5116000175476074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.451200008392334},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42089998722076416},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.4171000123023987},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3765999972820282},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37400001287460327},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2987370644","wikidata":"https://www.wikidata.org/wiki/Q7836903","display_name":"Treatment effect","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C155108698","wikidata":"https://www.wikidata.org/wiki/Q1231081","display_name":"Randomized experiment","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C100480397","wikidata":"https://www.wikidata.org/wiki/Q7836899","display_name":"Treatment and control groups","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26460000872612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12530-026-09836-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12530-026-09836-8","pdf_url":null,"source":{"id":"https://openalex.org/S202254422","display_name":"Evolving Systems","issn_l":"1868-6478","issn":["1868-6478","1868-6486"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Evolving Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7123546004295349,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G2139017","display_name":null,"funder_award_id":"965231","funder_id":"https://openalex.org/F4320338450","funder_display_name":"HORIZON EUROPE European Institute of Innovation and Technology"}],"funders":[{"id":"https://openalex.org/F4320338450","display_name":"HORIZON EUROPE European Institute of Innovation and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1036110228","https://openalex.org/W1516659296","https://openalex.org/W1964874140","https://openalex.org/W2024264441","https://openalex.org/W2036893104","https://openalex.org/W2047326456","https://openalex.org/W2094368311","https://openalex.org/W2143891888","https://openalex.org/W2149454052","https://openalex.org/W2155163959","https://openalex.org/W2157364932","https://openalex.org/W2171443468","https://openalex.org/W2171590421","https://openalex.org/W2208550830","https://openalex.org/W2217331258","https://openalex.org/W2332271625","https://openalex.org/W2606981059","https://openalex.org/W2624816748","https://openalex.org/W2786566841","https://openalex.org/W2793284597","https://openalex.org/W2807340117","https://openalex.org/W2893465708","https://openalex.org/W2908390493","https://openalex.org/W2911964244","https://openalex.org/W2945941559","https://openalex.org/W2955553835","https://openalex.org/W3000453819","https://openalex.org/W3031921507","https://openalex.org/W3125108970","https://openalex.org/W3125937743","https://openalex.org/W3156554472","https://openalex.org/W3160537436","https://openalex.org/W3164315881","https://openalex.org/W4206215611","https://openalex.org/W4230428500","https://openalex.org/W4281485352","https://openalex.org/W4297679051","https://openalex.org/W4309303571","https://openalex.org/W4366529461","https://openalex.org/W4386071639","https://openalex.org/W4386133003","https://openalex.org/W4387850600","https://openalex.org/W4388997985"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-06-12T00:00:00"}