Correcting variance and polarity indeterminacies of extracted components by canonical polyadic decomposition Article Swipe
Yuxing Hao
,
Huanjie Li
,
Guoqiang Hu
,
Wei Zhao
,
Fengyu Cong
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1080/27706710.2024.2403477
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1080/27706710.2024.2403477
Background Back-projection has been used to correct the variance and polarity indeterminacies for the independent component analysis. The variance and polarity of the components are essential features of neuroscience studies.Objective This work extends the back-projection theory to canonical polyadic decomposition (CPD) for high-order tensors, aiming to correct the variance and polarity indeterminacies of the components extracted by CPD.Methods The tensor is reshaped into a matrix and decomposed using a suitable blind source separation algorithm. Subsequently, the coefficients are projected using back-projection theory, and other factor matrices are computed through a series of singular value decompositions of the back-projection matrix.Results By applying this method, the energy and polarity of each component are determined, effectively correcting the variance and polarity indeterminacies in CPD. The proposed method was validated using simulated tensor data and resting-state fMRI data.Conclusion Our proposed back-projection method for high-order tensors effectively corrects variance and polarity indeterminacies in CPD, offering a precise solution for calculating the energy and polarity required to extract meaningful features from neuroimaging data.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/27706710.2024.2403477
- OA Status
- diamond
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402781905
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4402781905Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/27706710.2024.2403477Digital Object Identifier
- Title
-
Correcting variance and polarity indeterminacies of extracted components by canonical polyadic decompositionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-23Full publication date if available
- Authors
-
Yuxing Hao, Huanjie Li, Guoqiang Hu, Wei Zhao, Fengyu CongList of authors in order
- Landing page
-
https://doi.org/10.1080/27706710.2024.2403477Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1080/27706710.2024.2403477Direct OA link when available
- Concepts
-
Polarity (international relations), Decomposition, Variance (accounting), Mathematics, Variance components, Statistics, Econometrics, Natural language processing, Computer science, Chemistry, Economics, Organic chemistry, Cell, Accounting, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4402781905 |
|---|---|
| doi | https://doi.org/10.1080/27706710.2024.2403477 |
| ids.doi | https://doi.org/10.1080/27706710.2024.2403477 |
| ids.openalex | https://openalex.org/W4402781905 |
| fwci | 0.0 |
| type | article |
| title | Correcting variance and polarity indeterminacies of extracted components by canonical polyadic decomposition |
| awards[0].id | https://openalex.org/G2305008749 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 91748105 & 81471742 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 1 |
| biblio.volume | 3 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11447 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1711 |
| topics[0].subfield.display_name | Signal Processing |
| topics[0].display_name | Blind Source Separation Techniques |
| topics[1].id | https://openalex.org/T12303 |
| topics[1].field.id | https://openalex.org/fields/26 |
| topics[1].field.display_name | Mathematics |
| topics[1].score | 0.9940000176429749 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2605 |
| topics[1].subfield.display_name | Computational Mathematics |
| topics[1].display_name | Tensor decomposition and applications |
| topics[2].id | https://openalex.org/T12748 |
| topics[2].field.id | https://openalex.org/fields/16 |
| topics[2].field.display_name | Chemistry |
| topics[2].score | 0.97079998254776 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1607 |
| topics[2].subfield.display_name | Spectroscopy |
| topics[2].display_name | Molecular spectroscopy and chirality |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2777361361 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7266775965690613 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1112585 |
| concepts[0].display_name | Polarity (international relations) |
| concepts[1].id | https://openalex.org/C124681953 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6645128726959229 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q339062 |
| concepts[1].display_name | Decomposition |
| concepts[2].id | https://openalex.org/C196083921 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6478029489517212 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q7915758 |
| concepts[2].display_name | Variance (accounting) |
| concepts[3].id | https://openalex.org/C33923547 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5568429827690125 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[3].display_name | Mathematics |
| concepts[4].id | https://openalex.org/C3018076075 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5099426507949829 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1826427 |
| concepts[4].display_name | Variance components |
| concepts[5].id | https://openalex.org/C105795698 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4392991065979004 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[5].display_name | Statistics |
| concepts[6].id | https://openalex.org/C149782125 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3270280361175537 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[6].display_name | Econometrics |
| concepts[7].id | https://openalex.org/C204321447 |
| concepts[7].level | 1 |
| concepts[7].score | 0.32242703437805176 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[7].display_name | Natural language processing |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.31961292028427124 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C185592680 |
| concepts[9].level | 0 |
| concepts[9].score | 0.20783016085624695 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[9].display_name | Chemistry |
| concepts[10].id | https://openalex.org/C162324750 |
| concepts[10].level | 0 |
| concepts[10].score | 0.08837822079658508 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[10].display_name | Economics |
| concepts[11].id | https://openalex.org/C178790620 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[11].display_name | Organic chemistry |
| concepts[12].id | https://openalex.org/C1491633281 |
| concepts[12].level | 2 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7868 |
| concepts[12].display_name | Cell |
| concepts[13].id | https://openalex.org/C121955636 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q4116214 |
| concepts[13].display_name | Accounting |
| concepts[14].id | https://openalex.org/C55493867 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[14].display_name | Biochemistry |
| keywords[0].id | https://openalex.org/keywords/polarity |
| keywords[0].score | 0.7266775965690613 |
| keywords[0].display_name | Polarity (international relations) |
| keywords[1].id | https://openalex.org/keywords/decomposition |
| keywords[1].score | 0.6645128726959229 |
| keywords[1].display_name | Decomposition |
| keywords[2].id | https://openalex.org/keywords/variance |
| keywords[2].score | 0.6478029489517212 |
| keywords[2].display_name | Variance (accounting) |
| keywords[3].id | https://openalex.org/keywords/mathematics |
| keywords[3].score | 0.5568429827690125 |
| keywords[3].display_name | Mathematics |
| keywords[4].id | https://openalex.org/keywords/variance-components |
| keywords[4].score | 0.5099426507949829 |
| keywords[4].display_name | Variance components |
| keywords[5].id | https://openalex.org/keywords/statistics |
| keywords[5].score | 0.4392991065979004 |
| keywords[5].display_name | Statistics |
| keywords[6].id | https://openalex.org/keywords/econometrics |
| keywords[6].score | 0.3270280361175537 |
| keywords[6].display_name | Econometrics |
| keywords[7].id | https://openalex.org/keywords/natural-language-processing |
| keywords[7].score | 0.32242703437805176 |
| keywords[7].display_name | Natural language processing |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.31961292028427124 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/chemistry |
| keywords[9].score | 0.20783016085624695 |
| keywords[9].display_name | Chemistry |
| keywords[10].id | https://openalex.org/keywords/economics |
| keywords[10].score | 0.08837822079658508 |
| keywords[10].display_name | Economics |
| language | en |
| locations[0].id | doi:10.1080/27706710.2024.2403477 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4387279469 |
| locations[0].source.issn | 2770-6710 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2770-6710 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Brain-Apparatus Communication A Journal of Bacomics |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| 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 | Brain-Apparatus Communication: A Journal of Bacomics |
| locations[0].landing_page_url | https://doi.org/10.1080/27706710.2024.2403477 |
| locations[1].id | pmh:oai:jyx.jyu.fi:123456789/97691 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306400563 |
| 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 | Jyväskylä University Digital Archive (University of Jyväskylä) |
| locations[1].source.host_organization | https://openalex.org/I94722563 |
| locations[1].source.host_organization_name | University of Jyväskylä |
| locations[1].source.host_organization_lineage | https://openalex.org/I94722563 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | acceptedVersion |
| locations[1].raw_type | A1 |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.1080/27706710.2024.2403477" |
| locations[2].id | pmh:oai:doaj.org/article:6d38a49d898844bcbe60867d8ffbc26c |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Brain-Apparatus Communication, Vol 3, Iss 1 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/6d38a49d898844bcbe60867d8ffbc26c |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5088511169 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-1072-4670 |
| authorships[0].author.display_name | Yuxing Hao |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I27357992 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[0].institutions[0].id | https://openalex.org/I27357992 |
| authorships[0].institutions[0].ror | https://ror.org/023hj5876 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I27357992 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Dalian University of Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yuxing Hao |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[1].author.id | https://openalex.org/A5102804178 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1056-1579 |
| authorships[1].author.display_name | Huanjie Li |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I27357992 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[1].institutions[0].id | https://openalex.org/I27357992 |
| authorships[1].institutions[0].ror | https://ror.org/023hj5876 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I27357992 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Dalian University of Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Huanjie Li |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[2].author.id | https://openalex.org/A5103024974 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-4961-6300 |
| authorships[2].author.display_name | Guoqiang Hu |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I43313876 |
| authorships[2].affiliations[0].raw_affiliation_string | College of Artificial Intelligence, Dalian Maritime University, Dalian, China |
| authorships[2].institutions[0].id | https://openalex.org/I43313876 |
| authorships[2].institutions[0].ror | https://ror.org/002b7nr53 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I43313876 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Dalian Maritime University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Guoqiang Hu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | College of Artificial Intelligence, Dalian Maritime University, Dalian, China |
| authorships[3].author.id | https://openalex.org/A5002311337 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-6268-2559 |
| authorships[3].author.display_name | Wei Zhao |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I27357992 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[3].institutions[0].id | https://openalex.org/I27357992 |
| authorships[3].institutions[0].ror | https://ror.org/023hj5876 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I27357992 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Dalian University of Technology |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Wei Zhao |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[4].author.id | https://openalex.org/A5042937962 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-0058-2429 |
| authorships[4].author.display_name | Fengyu Cong |
| authorships[4].countries | CN, FI |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I27357992 |
| authorships[4].affiliations[0].raw_affiliation_string | Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education, China |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I94722563 |
| authorships[4].affiliations[1].raw_affiliation_string | Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland |
| authorships[4].affiliations[2].institution_ids | https://openalex.org/I27357992 |
| authorships[4].affiliations[2].raw_affiliation_string | School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| authorships[4].institutions[0].id | https://openalex.org/I27357992 |
| authorships[4].institutions[0].ror | https://ror.org/023hj5876 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I27357992 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Dalian University of Technology |
| authorships[4].institutions[1].id | https://openalex.org/I94722563 |
| authorships[4].institutions[1].ror | https://ror.org/05n3dz165 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I94722563 |
| authorships[4].institutions[1].country_code | FI |
| authorships[4].institutions[1].display_name | University of Jyväskylä |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Fengyu Cong |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland, Key Laboratory of Social Computing and Cognitive Intelligence (Dalian University of Technology), Ministry of Education, China, School of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, Dalian, China |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1080/27706710.2024.2403477 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Correcting variance and polarity indeterminacies of extracted components by canonical polyadic decomposition |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11447 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1711 |
| primary_topic.subfield.display_name | Signal Processing |
| primary_topic.display_name | Blind Source Separation Techniques |
| related_works | https://openalex.org/W2049350278, https://openalex.org/W965449117, https://openalex.org/W4243229075, https://openalex.org/W1596283885, https://openalex.org/W1964236691, https://openalex.org/W4286008728, https://openalex.org/W2189229849, https://openalex.org/W1543900781, https://openalex.org/W1989981058, https://openalex.org/W2133564832 |
| cited_by_count | 0 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1080/27706710.2024.2403477 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4387279469 |
| best_oa_location.source.issn | 2770-6710 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2770-6710 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Brain-Apparatus Communication A Journal of Bacomics |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Brain-Apparatus Communication: A Journal of Bacomics |
| best_oa_location.landing_page_url | https://doi.org/10.1080/27706710.2024.2403477 |
| primary_location.id | doi:10.1080/27706710.2024.2403477 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4387279469 |
| primary_location.source.issn | 2770-6710 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2770-6710 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Brain-Apparatus Communication A Journal of Bacomics |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| 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 | Brain-Apparatus Communication: A Journal of Bacomics |
| primary_location.landing_page_url | https://doi.org/10.1080/27706710.2024.2403477 |
| publication_date | 2024-09-23 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3010669096, https://openalex.org/W2123649031, https://openalex.org/W2098069002, https://openalex.org/W1985327120, https://openalex.org/W1974112694, https://openalex.org/W2153534086, https://openalex.org/W2140541289, https://openalex.org/W1980553836, https://openalex.org/W2128495200, https://openalex.org/W4367295977, https://openalex.org/W4384933129, https://openalex.org/W4311748266, https://openalex.org/W3115382670, https://openalex.org/W2119412403, https://openalex.org/W2000215628, https://openalex.org/W2330159389, https://openalex.org/W2013115634, https://openalex.org/W2008114373, https://openalex.org/W4321850933, https://openalex.org/W2066024605, https://openalex.org/W2113506774, https://openalex.org/W2002923643, https://openalex.org/W2090664364, https://openalex.org/W3198337740, https://openalex.org/W2337323496, https://openalex.org/W2108384452 |
| referenced_works_count | 26 |
| abstract_inverted_index.a | 63, 68, 89, 150 |
| abstract_inverted_index.By | 99 |
| abstract_inverted_index.by | 56 |
| abstract_inverted_index.in | 119, 147 |
| abstract_inverted_index.is | 60 |
| abstract_inverted_index.of | 21, 27, 52, 91, 95, 107 |
| abstract_inverted_index.to | 5, 36, 45, 160 |
| abstract_inverted_index.Our | 134 |
| abstract_inverted_index.The | 17, 58, 121 |
| abstract_inverted_index.and | 9, 19, 49, 65, 82, 105, 116, 130, 144, 157 |
| abstract_inverted_index.are | 24, 77, 86, 110 |
| abstract_inverted_index.for | 12, 41, 138, 153 |
| abstract_inverted_index.has | 2 |
| abstract_inverted_index.the | 7, 13, 22, 33, 47, 53, 75, 96, 103, 114, 155 |
| abstract_inverted_index.was | 124 |
| abstract_inverted_index.CPD, | 148 |
| abstract_inverted_index.CPD. | 120 |
| abstract_inverted_index.This | 30 |
| abstract_inverted_index.been | 3 |
| abstract_inverted_index.data | 129 |
| abstract_inverted_index.each | 108 |
| abstract_inverted_index.fMRI | 132 |
| abstract_inverted_index.from | 164 |
| abstract_inverted_index.into | 62 |
| abstract_inverted_index.this | 101 |
| abstract_inverted_index.used | 4 |
| abstract_inverted_index.work | 31 |
| abstract_inverted_index.(CPD) | 40 |
| abstract_inverted_index.blind | 70 |
| abstract_inverted_index.data. | 166 |
| abstract_inverted_index.other | 83 |
| abstract_inverted_index.using | 67, 79, 126 |
| abstract_inverted_index.value | 93 |
| abstract_inverted_index.aiming | 44 |
| abstract_inverted_index.energy | 104, 156 |
| abstract_inverted_index.factor | 84 |
| abstract_inverted_index.matrix | 64 |
| abstract_inverted_index.method | 123, 137 |
| abstract_inverted_index.series | 90 |
| abstract_inverted_index.source | 71 |
| abstract_inverted_index.tensor | 59, 128 |
| abstract_inverted_index.theory | 35 |
| abstract_inverted_index.correct | 6, 46 |
| abstract_inverted_index.extends | 32 |
| abstract_inverted_index.extract | 161 |
| abstract_inverted_index.method, | 102 |
| abstract_inverted_index.precise | 151 |
| abstract_inverted_index.tensors | 140 |
| abstract_inverted_index.theory, | 81 |
| abstract_inverted_index.through | 88 |
| abstract_inverted_index.applying | 100 |
| abstract_inverted_index.computed | 87 |
| abstract_inverted_index.corrects | 142 |
| abstract_inverted_index.features | 26, 163 |
| abstract_inverted_index.matrices | 85 |
| abstract_inverted_index.offering | 149 |
| abstract_inverted_index.polarity | 10, 20, 50, 106, 117, 145, 158 |
| abstract_inverted_index.polyadic | 38 |
| abstract_inverted_index.proposed | 122, 135 |
| abstract_inverted_index.required | 159 |
| abstract_inverted_index.reshaped | 61 |
| abstract_inverted_index.singular | 92 |
| abstract_inverted_index.solution | 152 |
| abstract_inverted_index.suitable | 69 |
| abstract_inverted_index.tensors, | 43 |
| abstract_inverted_index.variance | 8, 18, 48, 115, 143 |
| abstract_inverted_index.analysis. | 16 |
| abstract_inverted_index.canonical | 37 |
| abstract_inverted_index.component | 15, 109 |
| abstract_inverted_index.essential | 25 |
| abstract_inverted_index.extracted | 55 |
| abstract_inverted_index.projected | 78 |
| abstract_inverted_index.simulated | 127 |
| abstract_inverted_index.validated | 125 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.algorithm. | 73 |
| abstract_inverted_index.components | 23, 54 |
| abstract_inverted_index.correcting | 113 |
| abstract_inverted_index.decomposed | 66 |
| abstract_inverted_index.high-order | 42, 139 |
| abstract_inverted_index.meaningful | 162 |
| abstract_inverted_index.separation | 72 |
| abstract_inverted_index.CPD.Methods | 57 |
| abstract_inverted_index.calculating | 154 |
| abstract_inverted_index.determined, | 111 |
| abstract_inverted_index.effectively | 112, 141 |
| abstract_inverted_index.independent | 14 |
| abstract_inverted_index.coefficients | 76 |
| abstract_inverted_index.neuroimaging | 165 |
| abstract_inverted_index.neuroscience | 28 |
| abstract_inverted_index.Subsequently, | 74 |
| abstract_inverted_index.decomposition | 39 |
| abstract_inverted_index.resting-state | 131 |
| abstract_inverted_index.decompositions | 94 |
| abstract_inverted_index.matrix.Results | 98 |
| abstract_inverted_index.Back-projection | 1 |
| abstract_inverted_index.back-projection | 34, 80, 97, 136 |
| abstract_inverted_index.data.Conclusion | 133 |
| abstract_inverted_index.indeterminacies | 11, 51, 118, 146 |
| abstract_inverted_index.studies.Objective | 29 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.21264541 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |