{"id":"https://openalex.org/W4244103130","doi":"https://doi.org/10.1109/i3a.2014.14","title":"Quadratic Recurrent Finite Impulse Response MLP for Indirect Immunofluorescence Image Recognition","display_name":"Quadratic Recurrent Finite Impulse Response MLP for Indirect Immunofluorescence Image Recognition","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W4244103130","doi":"https://doi.org/10.1109/i3a.2014.14"},"language":"en","primary_location":{"id":"doi:10.1109/i3a.2014.14","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i3a.2014.14","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images","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/A5071951447","display_name":"Cristinel Codrescu","orcid":null},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Cristinel Codrescu","raw_affiliation_strings":["University of Salzburg, Salzburg, Austria"],"affiliations":[{"raw_affiliation_string":"University of Salzburg, Salzburg, Austria","institution_ids":["https://openalex.org/I182212641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071951447"],"corresponding_institution_ids":["https://openalex.org/I182212641"],"apc_list":null,"apc_paid":null,"fwci":0.8734,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77275621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"49","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9905999898910522,"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/finite-impulse-response","display_name":"Finite impulse response","score":0.740300714969635},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5829798579216003},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5677201151847839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5520989894866943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5392929315567017},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4570671319961548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4323500990867615},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.42719414830207825},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4186716079711914},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.41851937770843506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37811481952667236},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3213832676410675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30837634205818176},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2687240242958069},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22680586576461792},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1605176031589508},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10973182320594788}],"concepts":[{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.740300714969635},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5829798579216003},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5677201151847839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5520989894866943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5392929315567017},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4570671319961548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4323500990867615},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.42719414830207825},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4186716079711914},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.41851937770843506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37811481952667236},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3213832676410675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30837634205818176},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2687240242958069},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22680586576461792},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1605176031589508},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10973182320594788},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i3a.2014.14","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i3a.2014.14","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images","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":5,"referenced_works":["https://openalex.org/W1971924455","https://openalex.org/W2112796928","https://openalex.org/W2132107362","https://openalex.org/W2148461049","https://openalex.org/W6681813608"],"related_works":["https://openalex.org/W156274020","https://openalex.org/W4388903858","https://openalex.org/W4312799022","https://openalex.org/W2076543106","https://openalex.org/W2001917356","https://openalex.org/W2523437662","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144"],"abstract_inverted_index":{"The":[0,43],"I3A2014":[1],"contest":[2],"participants":[3],"had":[4],"to":[5,14,19,78],"design":[6],"and":[7,74],"implement":[8],"a":[9,46],"pattern":[10,26],"recognition":[11],"system":[12],"able":[13],"classify":[15],"the":[16,30,36,50,79],"cells":[17],"belonging":[18],"HEp-2":[20],"images":[21],"in":[22],"one":[23],"of":[24,35],"six":[25],"classes.":[27],"We":[28,61],"propose":[29],"QR-FIRMLP":[31],"architecture,":[32],"an":[33],"extension":[34],"finite":[37,57],"impulse":[38,58],"response":[39,59],"multilayer":[40,47],"perceptron":[41,48],"(FIRMLP).":[42],"FIRMLP":[44],"is":[45],"where":[49],"static":[51],"weights":[52],"have":[53,62],"been":[54],"replaced":[55],"by":[56,66],"filters.":[60],"extended":[63],"this":[64],"architecture":[65],"replacing":[67],"some":[68],"sigmoidal":[69],"layers":[70],"with":[71],"quadratic":[72],"ones":[73],"adding":[75],"recurrent":[76],"connections":[77],"FIR":[80],"neurons.":[81]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}