{"id":"https://openalex.org/W2951594842","doi":"https://doi.org/10.1007/s00500-019-04073-5","title":"Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems","display_name":"Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems","publication_year":2019,"publication_date":"2019-05-20","ids":{"openalex":"https://openalex.org/W2951594842","doi":"https://doi.org/10.1007/s00500-019-04073-5","mag":"2951594842"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-019-04073-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-019-04073-5","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","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/A5100438288","display_name":"Haiyang Wang","orcid":"https://orcid.org/0000-0003-2273-2686"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyang Wang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2273-2686","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073529204","display_name":"Yong Tang","orcid":"https://orcid.org/0000-0002-5036-4350"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Tang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5036-4350","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216665","display_name":"Ziyang Jia","orcid":"https://orcid.org/0000-0001-6686-0845"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyang Jia","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0001-6686-0845","affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100357221","display_name":"Fei Ye","orcid":"https://orcid.org/0000-0002-5894-2178"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ye","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5894-2178","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100438288"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.0229,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90025211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"4","first_page":"2955","last_page":"2968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8095195889472961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7329186201095581},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.7312661409378052},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.6812844276428223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485333442687988},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5405804514884949},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5021145343780518},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4713411033153534},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.44669434428215027},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4375073313713074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.434909850358963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3392634689807892},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07790553569793701}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8095195889472961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7329186201095581},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7312661409378052},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.6812844276428223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485333442687988},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5405804514884949},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5021145343780518},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4713411033153534},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.44669434428215027},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4375073313713074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.434909850358963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3392634689807892},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07790553569793701},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-019-04073-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00500-019-04073-5","pdf_url":null,"source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"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":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W137456267","https://openalex.org/W605727707","https://openalex.org/W1498436455","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1832693441","https://openalex.org/W1968969471","https://openalex.org/W1980324747","https://openalex.org/W1981025032","https://openalex.org/W1981276685","https://openalex.org/W1988790447","https://openalex.org/W1989549063","https://openalex.org/W2032210760","https://openalex.org/W2056132907","https://openalex.org/W2095705004","https://openalex.org/W2110632824","https://openalex.org/W2112076978","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2127939112","https://openalex.org/W2133564696","https://openalex.org/W2136922672","https://openalex.org/W2147800946","https://openalex.org/W2155806188","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2165698076","https://openalex.org/W2184045248","https://openalex.org/W2194775991","https://openalex.org/W2220384803","https://openalex.org/W2251939518","https://openalex.org/W2257979135","https://openalex.org/W2332079529","https://openalex.org/W2398890600","https://openalex.org/W2553773627","https://openalex.org/W2557283755","https://openalex.org/W2564508080","https://openalex.org/W2592340788","https://openalex.org/W2602216144","https://openalex.org/W2765672467","https://openalex.org/W2766447205","https://openalex.org/W2772402907","https://openalex.org/W2788874327","https://openalex.org/W2911964244","https://openalex.org/W2951670162","https://openalex.org/W2963446712","https://openalex.org/W2963826681","https://openalex.org/W4232478844","https://openalex.org/W4244952642","https://openalex.org/W6608787117"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W2905156999","https://openalex.org/W4229460275","https://openalex.org/W4296079469","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W1987518466","https://openalex.org/W3023033471","https://openalex.org/W3135046080","https://openalex.org/W2188759683"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}