{"id":"https://openalex.org/W2108613012","doi":"https://doi.org/10.1109/ijcnn.2008.4634051","title":"Extreme Learning Machine based bacterial protein subcellular localization prediction","display_name":"Extreme Learning Machine based bacterial protein subcellular localization prediction","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2108613012","doi":"https://doi.org/10.1109/ijcnn.2008.4634051","mag":"2108613012"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4634051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-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/A5101703422","display_name":"Yuan Lan","orcid":"https://orcid.org/0000-0001-5210-7107"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yuan Lan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007180550","display_name":"Yeng Chai Soh","orcid":"https://orcid.org/0000-0003-0624-2302"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yeng Chai Soh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061746912","display_name":"Guang-Bin Huang","orcid":"https://orcid.org/0000-0002-2480-4965"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guang-Bin Huang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ, Singapore#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101703422"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.7162,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.87658973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1859","last_page":"1863"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","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"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.9625614881515503},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7608186602592468},{"id":"https://openalex.org/keywords/subcellular-localization","display_name":"Subcellular localization","score":0.6433459520339966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6395705342292786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278946399688721},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5353752970695496},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5311996340751648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.525439441204071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4621584713459015},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43742895126342773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35667967796325684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22653406858444214},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2073606252670288},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08568790555000305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07924008369445801},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.05030548572540283},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.049162596464157104}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.9625614881515503},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7608186602592468},{"id":"https://openalex.org/C2776879804","wikidata":"https://www.wikidata.org/wiki/Q7630919","display_name":"Subcellular localization","level":3,"score":0.6433459520339966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6395705342292786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278946399688721},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5353752970695496},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5311996340751648},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.525439441204071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4621584713459015},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43742895126342773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35667967796325684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22653406858444214},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2073606252670288},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08568790555000305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07924008369445801},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.05030548572540283},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.049162596464157104},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4634051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491250132","https://openalex.org/W1919783154","https://openalex.org/W1978578227","https://openalex.org/W1992577925","https://openalex.org/W2034223886","https://openalex.org/W2111072639","https://openalex.org/W2114229561","https://openalex.org/W2122040390","https://openalex.org/W2130925474","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2143507938","https://openalex.org/W2145957695","https://openalex.org/W2152458080","https://openalex.org/W2154202919","https://openalex.org/W2160072419","https://openalex.org/W2160979370","https://openalex.org/W6640140129"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W1584764049","https://openalex.org/W2743832667","https://openalex.org/W1972782958"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"Extreme":[3],"Learning":[4],"Machine":[5],"(ELM)":[6],"is":[7,22,26],"introduced":[8,58],"to":[9,59],"predict":[10],"the":[11,18,37,49,61,100],"subcellular":[12],"localization":[13,43,102],"of":[14,39,66,75,84,99],"proteins":[15],"based":[16],"on":[17,41,70],"frequent":[19,46,76],"subsequences.":[20],"It":[21],"proved":[23],"that":[24,89],"ELM":[25,40,67,90],"extremely":[27],"fast":[28],"and":[29],"can":[30],"provide":[31],"good":[32],"generalization":[33],"performance.":[34],"We":[35],"evaluated":[36],"performance":[38,65],"four":[42,101],"sites":[44],"with":[45,72],"subsequences":[47],"as":[48],"feature":[50,62],"space.":[51],"A":[52],"new":[53],"parameter":[54],"called":[55],"Comparesup":[56],"was":[57,68],"help":[60],"selection.":[63],"The":[64,86],"tested":[69],"data":[71],"different":[73,82],"number":[74],"subsequences,":[77],"which":[78],"were":[79],"determined":[80],"by":[81],"range":[83],"Comparesup.":[85],"results":[87],"demonstrated":[88],"performed":[91],"better":[92],"than":[93],"previously":[94],"reported":[95],"results,":[96],"for":[97],"all":[98],"sites.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}