{"id":"https://openalex.org/W2345551181","doi":"https://doi.org/10.1109/tpami.2015.2441070","title":"Connected Filtering on Tree-Based Shape-Spaces","display_name":"Connected Filtering on Tree-Based Shape-Spaces","publication_year":2015,"publication_date":"2015-09-22","ids":{"openalex":"https://openalex.org/W2345551181","doi":"https://doi.org/10.1109/tpami.2015.2441070","mag":"2345551181","pmid":"https://pubmed.ncbi.nlm.nih.gov/26415150"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2441070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2441070","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01162437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082564408","display_name":"Yongchao Xu","orcid":"https://orcid.org/0000-0002-7253-3151"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I35298706","display_name":"ESIEA University","ror":"https://ror.org/00g6cx256","country_code":"FR","type":"education","lineage":["https://openalex.org/I35298706"]},{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Yongchao Xu","raw_affiliation_strings":["Department of Signal and Image Processing, Telecom ParisTech, 46 rue Barrault, Paris, France","EPITA Research and Development Laboratory (LRDE), Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France), France"],"affiliations":[{"raw_affiliation_string":"Department of Signal and Image Processing, Telecom ParisTech, 46 rue Barrault, Paris, France","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"EPITA Research and Development Laboratory (LRDE), Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France), France","institution_ids":["https://openalex.org/I35298706","https://openalex.org/I4210138808","https://openalex.org/I4210154111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068813606","display_name":"Thierry G\u00e9raud","orcid":"https://orcid.org/0000-0002-0380-7948"},"institutions":[{"id":"https://openalex.org/I4210138808","display_name":"\u00c9cole Pour l'Informatique et les Techniques Avanc\u00e9es","ror":"https://ror.org/04r5ddq29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210138808"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Geraud","raw_affiliation_strings":["EPITA Research and Development Laboratory (LRDE), 14-16 rue Voltaire, FR-94270 Le Kremlin-Bic\u00eatre, France","Laboratoire d'Informatique Gaspard-Monge, Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France)"],"affiliations":[{"raw_affiliation_string":"EPITA Research and Development Laboratory (LRDE), 14-16 rue Voltaire, FR-94270 Le Kremlin-Bic\u00eatre, France","institution_ids":["https://openalex.org/I4210138808"]},{"raw_affiliation_string":"Laboratoire d'Informatique Gaspard-Monge, Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France)","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052368829","display_name":"Laurent Najman","orcid":"https://orcid.org/0000-0002-6190-0235"},"institutions":[{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Najman","raw_affiliation_strings":["Laboratoire d'Informatique Gaspard-Monge, Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France)"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique Gaspard-Monge, Universit\u00e9 Paris-Est, Equipe A3SI, ESIEE Paris (FR-93160 Noisy-le-Grand, France)","institution_ids":["https://openalex.org/I4210152518","https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082564408"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I35298706","https://openalex.org/I4210138808","https://openalex.org/I4210154111"],"apc_list":null,"apc_paid":null,"fwci":3.5564,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95353572,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"38","issue":"6","first_page":"1126","last_page":"1140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.7551279067993164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138451337814331},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7010201215744019},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6167638301849365},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5255443453788757},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.4557676911354065},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45424920320510864},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43203485012054443},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.4269292950630188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4123868942260742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40599510073661804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37945225834846497},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3747263550758362},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3336213231086731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2610057592391968},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.22309759259223938}],"concepts":[{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.7551279067993164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138451337814331},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7010201215744019},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6167638301849365},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5255443453788757},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.4557676911354065},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45424920320510864},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43203485012054443},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.4269292950630188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4123868942260742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40599510073661804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37945225834846497},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3747263550758362},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3336213231086731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2610057592391968},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.22309759259223938},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2015.2441070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2441070","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26415150","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26415150","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,"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":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.3771","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.3771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.lrde.epita.fr/%7Etheo/papers/geraud.2015.pami.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01162437v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01162437","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/7273932","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01162437v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01162437","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/7273932","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1331716152","display_name":null,"funder_award_id":"ANR-2010-BLAN-0205-03","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W89082702","https://openalex.org/W194113526","https://openalex.org/W200963588","https://openalex.org/W202731834","https://openalex.org/W310261224","https://openalex.org/W642169424","https://openalex.org/W1489042383","https://openalex.org/W1508596486","https://openalex.org/W1556668337","https://openalex.org/W1559371027","https://openalex.org/W1568269178","https://openalex.org/W1579287100","https://openalex.org/W1590564964","https://openalex.org/W1597318419","https://openalex.org/W1657705490","https://openalex.org/W1963822497","https://openalex.org/W1975610128","https://openalex.org/W1978331308","https://openalex.org/W1978555977","https://openalex.org/W1999478155","https://openalex.org/W2001158482","https://openalex.org/W2004905374","https://openalex.org/W2012050936","https://openalex.org/W2012605804","https://openalex.org/W2018593404","https://openalex.org/W2022735534","https://openalex.org/W2028797628","https://openalex.org/W2034035131","https://openalex.org/W2045247864","https://openalex.org/W2048311571","https://openalex.org/W2074585180","https://openalex.org/W2076554987","https://openalex.org/W2077086634","https://openalex.org/W2088682428","https://openalex.org/W2093555426","https://openalex.org/W2101491865","https://openalex.org/W2104095591","https://openalex.org/W2105666116","https://openalex.org/W2105685332","https://openalex.org/W2106960834","https://openalex.org/W2112720808","https://openalex.org/W2115680416","https://openalex.org/W2124032926","https://openalex.org/W2128356031","https://openalex.org/W2145305441","https://openalex.org/W2146037576","https://openalex.org/W2146842130","https://openalex.org/W2147237076","https://openalex.org/W2149301680","https://openalex.org/W2150769593","https://openalex.org/W2157691228","https://openalex.org/W2161711000","https://openalex.org/W2164741953","https://openalex.org/W2170092083","https://openalex.org/W2171459511","https://openalex.org/W2294701571","https://openalex.org/W2751754953","https://openalex.org/W3105618524","https://openalex.org/W4230982142","https://openalex.org/W4246047487","https://openalex.org/W4297845835","https://openalex.org/W4391288492","https://openalex.org/W6603554938","https://openalex.org/W6608172587","https://openalex.org/W6633275910","https://openalex.org/W6841906508"],"related_works":["https://openalex.org/W1568952724","https://openalex.org/W1568383588","https://openalex.org/W2606438808","https://openalex.org/W1980767234","https://openalex.org/W2058740282","https://openalex.org/W2378232816","https://openalex.org/W2170080636","https://openalex.org/W2043403682","https://openalex.org/W2898666172","https://openalex.org/W2267637768"],"abstract_inverted_index":{"Connected":[0],"filters":[1,90],"are":[2,66],"well-known":[3],"for":[4,19,42],"their":[5],"good":[6],"contour":[7],"preservation":[8],"property.":[9],"A":[10],"popular":[11],"implementation":[12],"strategy":[13],"relies":[14],"on":[15,83,91,160],"tree-based":[16,129],"image":[17],"representations:":[18],"example,":[20],"one":[21],"can":[22,51],"compute":[23],"an":[24],"attribute":[25,45],"characterizing":[26],"the":[27,35,40,44,58,69,96,102,105,109,115,127,133,136,156,184,189],"connected":[28,89,130,139,153,171],"component":[29],"represented":[30],"by":[31,68,141],"each":[32],"node":[33],"of":[34,57,104,111,120,126,151,170,188],"tree":[36],"and":[37,86,180,186],"keep":[38],"only":[39],"nodes":[41,65],"which":[43],"is":[46,98,123],"sufficiently":[47],"high.":[48],"This":[49],"operation":[50],"be":[52],"seen":[53,60],"as":[54,61],"a":[55,62,76,118,124,149,167],"thresholding":[56],"tree,":[59],"graph":[63],"whose":[64],"weighted":[67],"attribute.":[70],"Rather":[71],"than":[72],"being":[73],"satisfied":[74],"with":[75],"mere":[77],"thresholding,":[78],"we":[79,164,174],"propose":[80,148,166],"to":[81,87,147],"expand":[82],"this":[84,92],"idea,":[85],"apply":[88],"latest":[93],"graph.":[94],"Consequently,":[95],"filtering":[97,122],"performed":[99],"not":[100],"in":[101,108],"space":[103,110],"image,":[106],"but":[107],"shapes":[112],"built":[113],"from":[114,155],"image.":[116],"Such":[117],"processing":[119],"shape-space":[121,191],"generalization":[125],"existing":[128,138],"operators.":[131],"Indeed,":[132],"framework":[134],"includes":[135],"classical":[137],"operators":[140,154,172],"attributes.":[142,162],"It":[143],"also":[144,165],"allows":[145],"us":[146],"class":[150,169],"novel":[152],"leveling":[157],"family,":[158],"based":[159],"non-increasing":[161],"Finally,":[163],"new":[168],"that":[173],"call":[175],"morphological":[176],"shapings.":[177],"Some":[178],"illustrations":[179],"quantitative":[181],"evaluations":[182],"demonstrate":[183],"usefulness":[185],"robustness":[187],"proposed":[190],"filters.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
