{"id":"https://openalex.org/W2024947939","doi":"https://doi.org/10.1109/tip.2014.2325783","title":"Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints","display_name":"Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints","publication_year":2014,"publication_date":"2014-05-20","ids":{"openalex":"https://openalex.org/W2024947939","doi":"https://doi.org/10.1109/tip.2014.2325783","mag":"2024947939","pmid":"https://pubmed.ncbi.nlm.nih.gov/24860031"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2325783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2325783","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4096329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029980254","display_name":"Jamshid Sourati","orcid":"https://orcid.org/0000-0002-4893-2793"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamshid Sourati","raw_affiliation_strings":["Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdogmus","raw_affiliation_strings":["Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042038501","display_name":"Jennifer Dy","orcid":"https://orcid.org/0000-0002-8430-134X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer G. Dy","raw_affiliation_strings":["Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079980080","display_name":"Dana H. Brooks","orcid":"https://orcid.org/0000-0003-3231-6715"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dana H. Brooks","raw_affiliation_strings":["Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Department of Electrical and Computer EngineeringBiomedical Signal Processing, Imaging, Reasoning, and Learning Group, Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9661,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74634615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":"7","first_page":"3057","last_page":"3070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996999979019165,"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/computer-science","display_name":"Computer science","score":0.7809098958969116},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7654711008071899},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6893200874328613},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6111394762992859},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5623725056648254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5031148791313171},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4944446086883545},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49130502343177795},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4816264510154724},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.47943228483200073},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4673472046852112},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.42842698097229004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39599883556365967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36761385202407837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35613566637039185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1143714189529419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809098958969116},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7654711008071899},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6893200874328613},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6111394762992859},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5623725056648254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031148791313171},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4944446086883545},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49130502343177795},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4816264510154724},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.47943228483200073},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4673472046852112},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.42842698097229004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39599883556365967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36761385202407837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35613566637039185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1143714189529419},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2014.2325783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2325783","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:24860031","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24860031","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4096329","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4096329","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:4096329","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4096329","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Image Process","raw_type":"Text"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1483166415","https://openalex.org/W1563653928","https://openalex.org/W1596382552","https://openalex.org/W1683159118","https://openalex.org/W1797861140","https://openalex.org/W1966627772","https://openalex.org/W1980097377","https://openalex.org/W1987983010","https://openalex.org/W1995714461","https://openalex.org/W2025564919","https://openalex.org/W2029718973","https://openalex.org/W2037641407","https://openalex.org/W2039375572","https://openalex.org/W2049310227","https://openalex.org/W2055224458","https://openalex.org/W2089188919","https://openalex.org/W2090668741","https://openalex.org/W2093164524","https://openalex.org/W2115313253","https://openalex.org/W2116810533","https://openalex.org/W2117081927","https://openalex.org/W2121147683","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2125637308","https://openalex.org/W2132914434","https://openalex.org/W2134342006","https://openalex.org/W2151153808","https://openalex.org/W2153839362","https://openalex.org/W2165181841","https://openalex.org/W2165874743","https://openalex.org/W2169551590","https://openalex.org/W2535548664","https://openalex.org/W2798909945","https://openalex.org/W4298132949","https://openalex.org/W6635376254","https://openalex.org/W6637428242","https://openalex.org/W6673083800","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Algorithms":[0],"for":[1,29,124],"fully":[2,16],"automatic":[3],"segmentation":[4,18,168],"of":[5,35,61,155],"images":[6],"are":[7,33],"often":[8],"not":[9,20,95,105],"sufficiently":[10],"generic":[11],"with":[12,37],"suitable":[13],"accuracy,":[14],"and":[15,40,102,169],"manual":[17],"is":[19,26,73,104,135,162,181],"practical":[21],"in":[22,70,149,183],"many":[23],"settings.":[24],"There":[25],"a":[27,128],"need":[28],"semiautomatic":[30],"algorithms,":[31],"which":[32],"capable":[34],"interacting":[36],"the":[38,44,88,147,153,158,166],"user":[39,53,66,82,148],"taking":[41],"into":[42],"account":[43],"collected":[45],"feedback.":[46,159],"Typically,":[47],"such":[48],"methods":[49,123],"have":[50],"simply":[51],"incorporated":[52],"feedback":[54,83],"directly.":[55],"Here,":[56],"we":[57,119],"employ":[58],"active":[59,137],"learning":[60,138,156],"optimal":[62],"queries":[63,143],"to":[64,98,107,109,115,144,146,151,177],"guide":[65],"interaction.":[67],"Our":[68,131],"work":[69],"this":[71,117],"paper":[72],"based":[74],"on":[75,165],"constrained":[76],"spectral":[77],"clustering":[78],"that":[79,140,175],"iteratively":[80],"incorporates":[81],"by":[84],"propagating":[85],"it":[86],"through":[87],"calculated":[89],"affinities.":[90],"The":[91],"original":[92],"framework":[93],"does":[94],"scale":[96],"well":[97],"large":[99],"data":[100,172],"sets,":[101,173],"hence":[103],"straightforward":[106],"apply":[108],"interactive":[110],"image":[111,171],"segmentation.":[112],"In":[113],"order":[114,150],"address":[116],"issue,":[118],"adopt":[120],"advanced":[121],"numerical":[122],"eigen-decomposition":[125],"implemented":[126],"over":[127],"subsampling":[129],"scheme.":[130],"key":[132],"innovation,":[133],"however,":[134],"an":[136],"strategy":[139],"chooses":[141],"pairwise":[142],"present":[145],"increase":[152],"rate":[154],"from":[157],"Performance":[160],"evaluation":[161],"carried":[163],"out":[164],"Berkeley":[167],"Graz-02":[170],"confirming":[174],"convergence":[176],"high":[178],"accuracy":[179],"levels":[180],"realizable":[182],"relatively":[184],"few":[185],"iterations.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
