{"id":"https://openalex.org/W3114092001","doi":"https://doi.org/10.3390/e22121436","title":"Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion","display_name":"Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion","publication_year":2020,"publication_date":"2020-12-19","ids":{"openalex":"https://openalex.org/W3114092001","doi":"https://doi.org/10.3390/e22121436","mag":"3114092001","pmid":"https://pubmed.ncbi.nlm.nih.gov/33352694","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7767296"},"language":"en","primary_location":{"id":"doi:10.3390/e22121436","doi":"https://doi.org/10.3390/e22121436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121436","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/e22121436","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041145388","display_name":"Hanna Loch-Olszewska","orcid":"https://orcid.org/0000-0002-3108-4839","observed_orcids":["https://orcid.org/0000-0002-3108-4839"]},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Hanna Loch-Olszewska","raw_affiliation_strings":["Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3108-4839","affiliations":[{"raw_affiliation_string":"Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034612031","display_name":"Janusz Szwabi\u0144ski","orcid":"https://orcid.org/0000-0002-6992-3634","observed_orcids":["https://orcid.org/0000-0002-6992-3634"]},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Janusz Szwabi\u0144ski","raw_affiliation_strings":["Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-6992-3634","affiliations":[{"raw_affiliation_string":"Faculty of Pure and Applied Mathematics, Hugo Steinhaus Center, Wroc\u0142aw University of Science and Technology, 50-370 Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034612031","https://openalex.org/A5041145388"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1690},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1690},"fwci":0.8347,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.82983038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"12","first_page":"1436","last_page":"1436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T10288","display_name":"Fractional Differential Equations Solutions","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.00039999998989515007,"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/single-particle-tracking","display_name":"single-particle tracking","score":0.949999988079071},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9300000071525574},{"id":"https://openalex.org/keywords/trajectory-classification","display_name":"trajectory classification","score":0.6430000066757202},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9860000014305115},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"gradient boosting","score":0.9990000128746033},{"id":"https://openalex.org/keywords/synthetic-training-data","display_name":"synthetic training data","score":0.9350000023841858},{"id":"https://openalex.org/keywords/g-proteins","display_name":"G proteins","score":0.8769999742507935},{"id":"https://openalex.org/keywords/plasma-membrane-receptors","display_name":"plasma membrane receptors","score":0.843999981880188},{"id":"https://openalex.org/keywords/subdiffusion","display_name":"subdiffusion","score":0.5239999890327454}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7116810083389282},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6651816368103027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.645646333694458},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6122734546661377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923587083816528},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730249881744385},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.46820881962776184},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.452130526304245},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.41654491424560547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3895723819732666},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e22121436","doi":"https://doi.org/10.3390/e22121436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121436","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7767296","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7767296","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmid:33352694","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33352694","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:ab410f8fe3cd4a669460e5818eac8ddd","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ab410f8fe3cd4a669460e5818eac8ddd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 12, p 1436 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e22121436","doi":"https://doi.org/10.3390/e22121436","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22121436","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5182813649","display_name":null,"funder_award_id":"2016/23/G/ST1/04083","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W615651129","https://openalex.org/W861925310","https://openalex.org/W1492815834","https://openalex.org/W1562974823","https://openalex.org/W1930624869","https://openalex.org/W1965156920","https://openalex.org/W1967715705","https://openalex.org/W1977042969","https://openalex.org/W1977676064","https://openalex.org/W1978103450","https://openalex.org/W1983273212","https://openalex.org/W1985501881","https://openalex.org/W1986490461","https://openalex.org/W1990912370","https://openalex.org/W1996465427","https://openalex.org/W2001221216","https://openalex.org/W2003113123","https://openalex.org/W2016533177","https://openalex.org/W2029463114","https://openalex.org/W2031753087","https://openalex.org/W2034602246","https://openalex.org/W2052164164","https://openalex.org/W2054821964","https://openalex.org/W2058946062","https://openalex.org/W2063727526","https://openalex.org/W2067790068","https://openalex.org/W2069916404","https://openalex.org/W2073805463","https://openalex.org/W2077398788","https://openalex.org/W2085056696","https://openalex.org/W2085498434","https://openalex.org/W2091464855","https://openalex.org/W2092173086","https://openalex.org/W2096013004","https://openalex.org/W2097711273","https://openalex.org/W2101234009","https://openalex.org/W2103706175","https://openalex.org/W2106743937","https://openalex.org/W2111271983","https://openalex.org/W2113242816","https://openalex.org/W2117333931","https://openalex.org/W2122872379","https://openalex.org/W2129310517","https://openalex.org/W2132218454","https://openalex.org/W2134695036","https://openalex.org/W2147688960","https://openalex.org/W2152157469","https://openalex.org/W2167185762","https://openalex.org/W2207388150","https://openalex.org/W2219267987","https://openalex.org/W2258076603","https://openalex.org/W2318735192","https://openalex.org/W2346473394","https://openalex.org/W2371638596","https://openalex.org/W2487770199","https://openalex.org/W2575265009","https://openalex.org/W2725992404","https://openalex.org/W2766290879","https://openalex.org/W2789625356","https://openalex.org/W2887513160","https://openalex.org/W2889918024","https://openalex.org/W2911555252","https://openalex.org/W2911964244","https://openalex.org/W2916919706","https://openalex.org/W2943222859","https://openalex.org/W2950920049","https://openalex.org/W2951085983","https://openalex.org/W2960756190","https://openalex.org/W3004998875","https://openalex.org/W3041139638","https://openalex.org/W3099304242","https://openalex.org/W3104368962"],"related_works":["https://openalex.org/W4228997478","https://openalex.org/W4413382569","https://openalex.org/W6960085069","https://openalex.org/W4234961188","https://openalex.org/W2059333296","https://openalex.org/W1700449338","https://openalex.org/W7024484352","https://openalex.org/W3092235791","https://openalex.org/W3044853528","https://openalex.org/W7219526991"],"abstract_inverted_index":{"The":[0,103],"growing":[1],"interest":[2],"in":[3,31,49],"machine":[4],"learning":[5],"methods":[6],"has":[7],"raised":[8],"the":[9,19,29,32,35,43,46,72,76,83,90,100],"need":[10],"for":[11,71],"a":[12,65,79,118],"careful":[13],"study":[14],"of":[15,34,45,61,78,82,92,94,111],"their":[16,115],"application":[17],"to":[18],"experimental":[20],"single-particle":[21],"tracking":[22],"data.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,74],"present":[28],"differences":[30],"classification":[33,101],"fractional":[36],"anomalous":[37],"diffusion":[38],"trajectories":[39,110],"that":[40],"arise":[41],"from":[42],"selection":[44],"features":[47,84],"used":[48,59],"random":[50],"forest":[51],"and":[52,85,114],"gradient":[53],"boosting":[54],"algorithms.":[55],"Comparing":[56],"two":[57],"recently":[58],"sets":[60],"human-engineered":[62],"attributes":[63],"with":[64],"new":[66],"one,":[67],"which":[68],"was":[69],"tailor-made":[70],"problem,":[73],"show":[75],"importance":[77],"thoughtful":[80],"choice":[81],"parameters.":[86],"We":[87],"also":[88],"analyse":[89],"influence":[91],"alterations":[93],"synthetic":[95],"training":[96],"data":[97],"set":[98],"on":[99,108,117],"results.":[102],"trained":[104],"classifiers":[105],"are":[106],"tested":[107],"real":[109],"G":[112],"proteins":[113],"receptors":[116],"plasma":[119],"membrane.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2021-01-05T00:00:00"}
