An analysis of boosted ensembles of binary fuzzy decision trees Article Swipe
Marco Barsacchi
,
Alessio Bechini
,
Francesco Marcelloni
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.eswa.2020.113436
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.eswa.2020.113436
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.eswa.2020.113436
- OA Status
- green
- Cited By
- 17
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3015489409
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3015489409Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.eswa.2020.113436Digital Object Identifier
- Title
-
An analysis of boosted ensembles of binary fuzzy decision treesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-10Full publication date if available
- Authors
-
Marco Barsacchi, Alessio Bechini, Francesco MarcelloniList of authors in order
- Landing page
-
https://doi.org/10.1016/j.eswa.2020.113436Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hdl.handle.net/11568/1041089Direct OA link when available
- Concepts
-
Computer science, Decision tree, Artificial intelligence, Machine learning, Fuzzy logic, Binary number, Data mining, Mathematics, ArithmeticTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
17Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1, 2022: 5, 2021: 7, 2020: 3Per-year citation counts (last 5 years)
- References (count)
-
74Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3015489409 |
|---|---|
| doi | https://doi.org/10.1016/j.eswa.2020.113436 |
| ids.doi | https://doi.org/10.1016/j.eswa.2020.113436 |
| ids.mag | 3015489409 |
| ids.openalex | https://openalex.org/W3015489409 |
| fwci | 2.34975278 |
| type | article |
| title | An analysis of boosted ensembles of binary fuzzy decision trees |
| awards[0].id | https://openalex.org/G2067080814 |
| awards[0].funder_id | https://openalex.org/F4320324499 |
| awards[0].display_name | |
| awards[0].funder_award_id | PRA_2017 |
| awards[0].funder_display_name | Università di Pisa |
| biblio.issue | |
| biblio.volume | 154 |
| biblio.last_page | 113436 |
| biblio.first_page | 113436 |
| topics[0].id | https://openalex.org/T11652 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9993000030517578 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Imbalanced Data Classification Techniques |
| topics[1].id | https://openalex.org/T12535 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9936000108718872 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Machine Learning and Data Classification |
| topics[2].id | https://openalex.org/T10820 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9912999868392944 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Fuzzy Logic and Control Systems |
| funders[0].id | https://openalex.org/F4320321873 |
| funders[0].ror | https://ror.org/0166hxq48 |
| funders[0].display_name | Ministero dell’Istruzione, dell’Università e della Ricerca |
| funders[1].id | https://openalex.org/F4320324499 |
| funders[1].ror | https://ror.org/03ad39j10 |
| funders[1].display_name | Università di Pisa |
| funders[2].id | https://openalex.org/F4320326084 |
| funders[2].ror | |
| funders[2].display_name | Regione Toscana |
| is_xpac | False |
| apc_list.value | 3220 |
| apc_list.currency | USD |
| apc_list.value_usd | 3220 |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6958598494529724 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C84525736 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5605989694595337 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q831366 |
| concepts[1].display_name | Decision tree |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5566643476486206 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C119857082 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5222383737564087 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[3].display_name | Machine learning |
| concepts[4].id | https://openalex.org/C58166 |
| concepts[4].level | 2 |
| concepts[4].score | 0.48120906949043274 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q224821 |
| concepts[4].display_name | Fuzzy logic |
| concepts[5].id | https://openalex.org/C48372109 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4570363759994507 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3913 |
| concepts[5].display_name | Binary number |
| concepts[6].id | https://openalex.org/C124101348 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3597763776779175 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[6].display_name | Data mining |
| concepts[7].id | https://openalex.org/C33923547 |
| concepts[7].level | 0 |
| concepts[7].score | 0.2163054645061493 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[7].display_name | Mathematics |
| concepts[8].id | https://openalex.org/C94375191 |
| concepts[8].level | 1 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11205 |
| concepts[8].display_name | Arithmetic |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6958598494529724 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/decision-tree |
| keywords[1].score | 0.5605989694595337 |
| keywords[1].display_name | Decision tree |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.5566643476486206 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/machine-learning |
| keywords[3].score | 0.5222383737564087 |
| keywords[3].display_name | Machine learning |
| keywords[4].id | https://openalex.org/keywords/fuzzy-logic |
| keywords[4].score | 0.48120906949043274 |
| keywords[4].display_name | Fuzzy logic |
| keywords[5].id | https://openalex.org/keywords/binary-number |
| keywords[5].score | 0.4570363759994507 |
| keywords[5].display_name | Binary number |
| keywords[6].id | https://openalex.org/keywords/data-mining |
| keywords[6].score | 0.3597763776779175 |
| keywords[6].display_name | Data mining |
| keywords[7].id | https://openalex.org/keywords/mathematics |
| keywords[7].score | 0.2163054645061493 |
| keywords[7].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.1016/j.eswa.2020.113436 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S13144211 |
| locations[0].source.issn | 0957-4174, 1873-6793 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0957-4174 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Expert Systems with Applications |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Expert Systems with Applications |
| locations[0].landing_page_url | https://doi.org/10.1016/j.eswa.2020.113436 |
| locations[1].id | pmh:oai:arpi.unipi.it:11568/1041089 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4377196265 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | CINECA IRIS Institutial research information system (University of Pisa) |
| locations[1].source.host_organization | https://openalex.org/I108290504 |
| locations[1].source.host_organization_name | University of Pisa |
| locations[1].source.host_organization_lineage | https://openalex.org/I108290504 |
| locations[1].license | other-oa |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | info:eu-repo/semantics/article |
| locations[1].license_id | https://openalex.org/licenses/other-oa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://hdl.handle.net/11568/1041089 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5063324971 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7457-7393 |
| authorships[0].author.display_name | Marco Barsacchi |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Marco Barsacchi |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5007774813 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5951-1265 |
| authorships[1].author.display_name | Alessio Bechini |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Alessio Bechini |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5057031606 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5895-876X |
| authorships[2].author.display_name | Francesco Marcelloni |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Francesco Marcelloni |
| authorships[2].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://hdl.handle.net/11568/1041089 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | An analysis of boosted ensembles of binary fuzzy decision trees |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11652 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9993000030517578 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Imbalanced Data Classification Techniques |
| related_works | https://openalex.org/W2961085424, https://openalex.org/W4224009465, https://openalex.org/W4384470695, https://openalex.org/W3134840015, https://openalex.org/W4366979180, https://openalex.org/W3036095178, https://openalex.org/W2377198601, https://openalex.org/W2381980924, https://openalex.org/W2353774927, https://openalex.org/W2081026125 |
| cited_by_count | 17 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2023 |
| counts_by_year[1].cited_by_count | 1 |
| counts_by_year[2].year | 2022 |
| counts_by_year[2].cited_by_count | 5 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 7 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 3 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arpi.unipi.it:11568/1041089 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4377196265 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | CINECA IRIS Institutial research information system (University of Pisa) |
| best_oa_location.source.host_organization | https://openalex.org/I108290504 |
| best_oa_location.source.host_organization_name | University of Pisa |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I108290504 |
| best_oa_location.license | other-oa |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | info:eu-repo/semantics/article |
| best_oa_location.license_id | https://openalex.org/licenses/other-oa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://hdl.handle.net/11568/1041089 |
| primary_location.id | doi:10.1016/j.eswa.2020.113436 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S13144211 |
| primary_location.source.issn | 0957-4174, 1873-6793 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0957-4174 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Expert Systems with Applications |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Expert Systems with Applications |
| primary_location.landing_page_url | https://doi.org/10.1016/j.eswa.2020.113436 |
| publication_date | 2020-04-10 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2775211631, https://openalex.org/W2614239970, https://openalex.org/W2182722412, https://openalex.org/W6725227237, https://openalex.org/W2011523679, https://openalex.org/W6743077299, https://openalex.org/W2054669265, https://openalex.org/W6733050125, https://openalex.org/W6719324641, https://openalex.org/W2063243672, https://openalex.org/W2067885219, https://openalex.org/W2112965436, https://openalex.org/W2000641275, https://openalex.org/W2803258972, https://openalex.org/W2177299793, https://openalex.org/W1605688901, https://openalex.org/W6635046684, https://openalex.org/W2124685890, https://openalex.org/W1988790447, https://openalex.org/W4241727697, https://openalex.org/W2165466912, https://openalex.org/W1968969471, https://openalex.org/W2749935149, https://openalex.org/W2164400088, https://openalex.org/W2003281149, https://openalex.org/W2127894726, https://openalex.org/W2000950277, https://openalex.org/W2102675003, https://openalex.org/W2119475352, https://openalex.org/W2579555219, https://openalex.org/W6678576760, https://openalex.org/W1971774955, https://openalex.org/W4236137412, https://openalex.org/W2810581848, https://openalex.org/W2165960883, https://openalex.org/W2155806188, https://openalex.org/W6680028700, https://openalex.org/W3004732066, https://openalex.org/W6826859744, https://openalex.org/W6633174061, https://openalex.org/W2565966100, https://openalex.org/W2167652831, https://openalex.org/W2595035151, https://openalex.org/W2141876843, https://openalex.org/W2015487637, https://openalex.org/W2080294211, https://openalex.org/W2951728450, https://openalex.org/W6668905256, https://openalex.org/W2093717447, https://openalex.org/W2604272474, https://openalex.org/W1974758710, https://openalex.org/W2075170220, https://openalex.org/W1704669313, https://openalex.org/W1570448133, https://openalex.org/W2506439635, https://openalex.org/W2570929519, https://openalex.org/W2134987394, https://openalex.org/W2025162503, https://openalex.org/W1898259180, https://openalex.org/W1975846642, https://openalex.org/W1554944419, https://openalex.org/W3013019190, https://openalex.org/W2461621493, https://openalex.org/W1984314602, https://openalex.org/W90286923, https://openalex.org/W2586397859, https://openalex.org/W2748915876, https://openalex.org/W1926592634, https://openalex.org/W1594031697, https://openalex.org/W1748932423, https://openalex.org/W2149706766, https://openalex.org/W2465956107, https://openalex.org/W2740661283, https://openalex.org/W1585743408 |
| referenced_works_count | 74 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.90033223 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |