{"id":"https://openalex.org/W2737604019","doi":"https://doi.org/10.1109/icra.2017.7989298","title":"Semantic classification by reasoning on the whole structure of buildings using statistical relational learning techniques","display_name":"Semantic classification by reasoning on the whole structure of buildings using statistical relational learning techniques","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2737604019","doi":"https://doi.org/10.1109/icra.2017.7989298","mag":"2737604019"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5020142519","display_name":"Matteo Luperto","orcid":"https://orcid.org/0000-0002-8976-2073"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Luperto","raw_affiliation_strings":["Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038958521","display_name":"Alessandro Riva","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Riva","raw_affiliation_strings":["Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028729032","display_name":"Francesco Amigoni","orcid":"https://orcid.org/0000-0001-8146-6213"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Amigoni","raw_affiliation_strings":["Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.2388,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59850951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2562","last_page":"2568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9950000047683716,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9950000047683716,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.984000027179718,"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/T11106","display_name":"Data Management and Algorithms","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741620659828186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6394894123077393},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5070223808288574},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5060266852378845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3922165632247925},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07564839720726013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741620659828186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6394894123077393},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5070223808288574},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5060266852378845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3922165632247925},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07564839720726013},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2017.7989298","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989298","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1031713","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1031713","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W153448785","https://openalex.org/W960269935","https://openalex.org/W1501299699","https://openalex.org/W1561326744","https://openalex.org/W1585529040","https://openalex.org/W1766290689","https://openalex.org/W1977970897","https://openalex.org/W2000321478","https://openalex.org/W2006003168","https://openalex.org/W2029806546","https://openalex.org/W2031492656","https://openalex.org/W2042313354","https://openalex.org/W2042452952","https://openalex.org/W2049207102","https://openalex.org/W2056132907","https://openalex.org/W2114190652","https://openalex.org/W2117892041","https://openalex.org/W2119203353","https://openalex.org/W2126185296","https://openalex.org/W2126791158","https://openalex.org/W2130998933","https://openalex.org/W2137476097","https://openalex.org/W2139338077","https://openalex.org/W2157657326","https://openalex.org/W2165881750","https://openalex.org/W2216736238","https://openalex.org/W2265661972","https://openalex.org/W2295727332","https://openalex.org/W2296609258","https://openalex.org/W3112180085","https://openalex.org/W4293249558","https://openalex.org/W6633624968","https://openalex.org/W6637989529","https://openalex.org/W6651919522","https://openalex.org/W6679245903","https://openalex.org/W6680132778","https://openalex.org/W6683427099","https://openalex.org/W6697186258"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Semantic":[0],"mapping":[1],"for":[2,55],"autonomous":[3],"mobile":[4],"robots":[5],"includes":[6],"the":[7,41,59,121,127],"place":[8,29],"classification":[9,30,94,97,122],"task":[10,123],"that":[11,111],"associates":[12],"semantic":[13],"labels":[14],"(like":[15],"`corridor'":[16],"or":[17],"`office')":[18],"to":[19,28,40],"rooms":[20,136],"perceived":[21],"in":[22,91],"indoor":[23],"environments.":[24],"The":[25],"mainstream":[26],"approaches":[27,119],"are":[31,46],"characterized":[32],"by":[33],"local":[34,89,118],"reasoning,":[35],"where":[36],"only":[37],"features":[38],"relative":[39],"neighbourhood":[42],"of":[43,62,95,98,101,105,129],"each":[44],"room":[45],"considered.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51,79],"propose":[52],"a":[53,71,83],"method":[54],"global":[56,113],"reasoning":[57,125],"on":[58,126],"whole":[60],"structure":[61],"buildings,":[63,102],"considered":[64],"as":[65],"single":[66],"structured":[67],"objects.":[68],"We":[69],"use":[70],"statistical":[72],"relational":[73],"learning":[74],"algorithm,":[75],"called":[76],"kLog,":[77],"and":[78,103,131],"compare":[80],"it":[81],"against":[82],"classifier,":[84],"Extra-Trees,":[85],"which":[86],"resembles":[87],"classical":[88],"approaches,":[90],"three":[92],"tasks:":[93],"rooms,":[96],"entire":[99],"floors":[100],"validation":[104],"simulated":[106],"worlds.":[107],"Our":[108],"results":[109],"show":[110],"our":[112],"approach":[114],"performs":[115],"better":[116],"than":[117],"when":[120,132],"involves":[124],"regularities":[128],"buildings":[130],"available":[133],"information":[134],"about":[135],"is":[137],"coarse-grained.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}