{"id":"https://openalex.org/W4236166513","doi":"https://doi.org/10.1109/icpr.2004.1334217","title":"Relaxation labeling processes for protein secondary structure prediction","display_name":"Relaxation labeling processes for protein secondary structure prediction","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4236166513","doi":"https://doi.org/10.1109/icpr.2004.1334217"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334217","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5063558630","display_name":"Giacomo Colle","orcid":"https://orcid.org/0000-0002-3166-1755"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"G. Colle","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Mestre, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Mestre, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087601632","display_name":"M. Pelillo","orcid":null},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Pelillo","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Mestre, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Mestre, Italy","institution_ids":["https://openalex.org/I149461666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063558630"],"corresponding_institution_ids":["https://openalex.org/I149461666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35262206,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9952999949455261,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8632904887199402},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7438525557518005},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.7286713123321533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004609704017639},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6028557419776917},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.577781081199646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5570286512374878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5272994041442871},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4492562413215637},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34303778409957886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3330781161785126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3096541166305542}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8632904887199402},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7438525557518005},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.7286713123321533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004609704017639},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6028557419776917},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.577781081199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5570286512374878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5272994041442871},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4492562413215637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34303778409957886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3330781161785126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3096541166305542},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334217","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":19,"referenced_works":["https://openalex.org/W1482147306","https://openalex.org/W1549847953","https://openalex.org/W1979622972","https://openalex.org/W2013136212","https://openalex.org/W2026480276","https://openalex.org/W2041369927","https://openalex.org/W2057289558","https://openalex.org/W2072649575","https://openalex.org/W2085835701","https://openalex.org/W2100890997","https://openalex.org/W2105038716","https://openalex.org/W2107792892","https://openalex.org/W2119423166","https://openalex.org/W2127053313","https://openalex.org/W2129245324","https://openalex.org/W2133671888","https://openalex.org/W2134299061","https://openalex.org/W2156798505","https://openalex.org/W2165959773"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"The":[0],"prediction":[1],"of":[2,55,91,108,121],"protein":[3],"secondary":[4],"structure":[5],"is":[6],"a":[7,40,53,75,88,105],"classical":[8],"problem":[9,35,80],"in":[10,13,70],"bioinformatics,":[11],"and":[12,100],"the":[14,34,79,119,122],"past":[15],"few":[16],"years":[17],"several":[18],"machine":[19,129],"learning":[20,130],"techniques":[21],"have":[22],"been":[23],"proposed":[24],"to":[25,48,52,78,126],"attack":[26],"it.":[27],"From":[28],"an":[29],"abstract":[30],"pattern":[31],"recognition":[32],"viewpoint,":[33],"can":[36],"be":[37],"formulated":[38],"as":[39,124],"(continuous)":[41],"consistent":[42],"labeling":[43,86,98],"problem,":[44],"whereby":[45],"one":[46],"has":[47],"assign":[49],"symbolic":[50],"labels":[51],"set":[54],"objects":[56],"by":[57,67],"taking":[58],"into":[59],"account":[60],"potential":[61],"constraints":[62],"between":[63],"nearby":[64],"objects.":[65],"Motivated":[66],"this":[68,71],"observation,":[69],"paper":[72],"we":[73],"propose":[74],"new":[76],"approach":[77,123],"based":[81],"on":[82,114],"(optimally":[83],"trained)":[84],"relaxation":[85],"algorithms,":[87],"well-known":[89],"class":[90],"iterative":[92],"procedures":[93],"that":[94],"aim":[95],"at":[96],"reducing":[97],"ambiguities":[99],"achieving":[101],"global":[102],"consistency":[103],"through":[104],"parallel":[106],"exploitation":[107],"local":[109],"information.":[110],"Preliminary":[111],"experiments":[112],"performed":[113],"standard":[115,127],"benchmark":[116],"data":[117],"confirm":[118],"effectiveness":[120],"compared":[125],"state-of-the-art":[128],"predictors.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
