{"id":"https://openalex.org/W4387605533","doi":"https://doi.org/10.1088/2632-2153/ad035e","title":"Artificial neural networks exploiting point cloud data for fragmented solid objects classification","display_name":"Artificial neural networks exploiting point cloud data for fragmented solid objects classification","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387605533","doi":"https://doi.org/10.1088/2632-2153/ad035e"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad035e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad035e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad035e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad035e/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093056472","display_name":"Alessandro Baiocchi","orcid":"https://orcid.org/0000-0002-0596-6707"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A Baiocchi","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, 00185, ITALY"],"raw_orcid":"https://orcid.org/0000-0002-0596-6707","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, 00185, ITALY","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040188499","display_name":"S. Giagu","orcid":"https://orcid.org/0000-0001-9192-3537"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S Giagu","raw_affiliation_strings":["Physics department, University of Rome La Sapienza, p.le Aldo Moro 2, Rome, 00185, ITALY"],"raw_orcid":"https://orcid.org/0000-0001-9192-3537","affiliations":[{"raw_affiliation_string":"Physics department, University of Rome La Sapienza, p.le Aldo Moro 2, Rome, 00185, ITALY","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025323940","display_name":"Christian Napoli","orcid":"https://orcid.org/0000-0002-3336-5853"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C Napoli","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067965924","display_name":"M. Serra","orcid":"https://orcid.org/0000-0002-6093-8063"},"institutions":[{"id":"https://openalex.org/I160013858","display_name":"Istituto Nazionale di Fisica Nucleare","ror":"https://ror.org/005ta0471","country_code":"IT","type":"funder","lineage":["https://openalex.org/I160013858"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M Serra","raw_affiliation_strings":["Physics, Istituto Nazionale di Fisica Nucleare Sezione di Roma, P.le Aldo Moro 2, Roma, 00185, ITALY"],"raw_orcid":"https://orcid.org/0000-0002-6093-8063","affiliations":[{"raw_affiliation_string":"Physics, Istituto Nazionale di Fisica Nucleare Sezione di Roma, P.le Aldo Moro 2, Roma, 00185, ITALY","institution_ids":["https://openalex.org/I160013858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020391073","display_name":"Pietro Nardelli","orcid":"https://orcid.org/0000-0002-9093-1532"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P Nardelli","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY"],"raw_orcid":"https://orcid.org/0000-0002-9093-1532","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030130884","display_name":"Matteo Valleriani","orcid":"https://orcid.org/0000-0002-0406-7777"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M Valleriani","raw_affiliation_strings":["Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering, University of Rome La Sapienza, Via Ariosto 25, Rome, Lazio, 00185, ITALY","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093056472"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.1443,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82104355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":"4","first_page":"045025","last_page":"045025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9998000264167786,"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/T12364","display_name":"Archaeological Research and Protection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1912","display_name":"Space and Planetary Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7909225225448608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7680258750915527},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6745566725730896},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6623693704605103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6572615504264832},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5641017556190491},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5425142049789429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4373754560947418},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4182443618774414}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7909225225448608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680258750915527},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6745566725730896},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6623693704605103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6572615504264832},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5641017556190491},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5425142049789429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4373754560947418},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4182443618774414},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1088/2632-2153/ad035e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad035e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad035e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1693393","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1693393","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1693393/1/Baiocchi_Artificial_2023.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:592a58a5dae04b9a830aff683ea9d9c9","is_oa":true,"landing_page_url":"https://doaj.org/article/592a58a5dae04b9a830aff683ea9d9c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 4, Iss 4, p 045025 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad035e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad035e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad035e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387605533.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1571404922","https://openalex.org/W2012688189","https://openalex.org/W2047542364","https://openalex.org/W2123337940","https://openalex.org/W2143153537","https://openalex.org/W2168547291","https://openalex.org/W2558460151","https://openalex.org/W2560609797","https://openalex.org/W2606202972","https://openalex.org/W2743672024","https://openalex.org/W2786036844","https://openalex.org/W2893979195","https://openalex.org/W2894703649","https://openalex.org/W2936362563","https://openalex.org/W2960986959","https://openalex.org/W2963021451","https://openalex.org/W2963035165","https://openalex.org/W2964253930","https://openalex.org/W2979750740","https://openalex.org/W2981440248","https://openalex.org/W2998311662","https://openalex.org/W3011970623","https://openalex.org/W3048494734","https://openalex.org/W3107971930","https://openalex.org/W4297733535","https://openalex.org/W6634150641","https://openalex.org/W6677966758","https://openalex.org/W6680856461","https://openalex.org/W6684535885","https://openalex.org/W6690035249","https://openalex.org/W6730037158","https://openalex.org/W6730760897","https://openalex.org/W6742827142","https://openalex.org/W6747827861","https://openalex.org/W6756250026","https://openalex.org/W6765629357","https://openalex.org/W6781758977","https://openalex.org/W6786546930"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4293226380","https://openalex.org/W4389574804","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Abstract":[0],"This":[1,19],"paper":[2],"presents":[3],"a":[4,26,54,101,109,149,153],"novel":[5],"approach":[6,128],"for":[7,76],"fragmented":[8],"solid":[9],"object":[10],"classification":[11],"exploiting":[12],"neural":[13,95],"networks":[14],"based":[15],"on":[16,148],"point":[17,102],"clouds.":[18],"work":[20],"is":[21],"the":[22,31,77,105,127,135,141,146],"initial":[23],"step":[24],"of":[25,33,58,60,79,108,140,156],"project":[27],"in":[28,39,159],"collaboration":[29],"with":[30],"Institution":[32],"\u2018Ente":[34],"Parco":[35],"Archeologico":[36],"del":[37],"Colosseo\u2019":[38],"Rome,":[40],"which":[41,97],"aims":[42],"to":[43,71,121,133],"reconstruct":[44],"ancient":[45],"artifacts":[46,157],"from":[47,52],"their":[48],"fragments.":[49,84],"We":[50,67,125],"built":[51],"scratch":[53],"synthetic":[55],"dataset":[56],"(DS)":[57],"fragments":[59],"different":[61,160],"3D":[62,154],"objects":[63],"including":[64],"aging":[65],"effects.":[66],"used":[68],"this":[69],"DS":[70],"train":[72],"deep":[73],"learning":[74],"models":[75,147],"task":[78],"classifying":[80],"internal":[81],"and":[82,91,111,137],"external":[83],"As":[85],"model":[86,114],"architectures,":[87],"we":[88,112,144],"adopted":[89],"PointNet":[90],"dynamical":[92],"graph":[93],"convolutional":[94],"network,":[96],"take":[98],"as":[99],"input":[100],"cloud":[103],"representing":[104],"spatial":[106],"geometry":[107,123],"fragment,":[110],"optimized":[113],"performance":[115],"by":[116,129],"adding":[117],"additional":[118],"features":[119],"sensitive":[120],"local":[122],"characteristics.":[124],"tested":[126],"performing":[130],"several":[131],"experiments":[132],"check":[134],"robustness":[136],"generalization":[138],"capabilities":[139],"models.":[142],"Finally,":[143],"test":[145],"real":[150],"case":[151],"using":[152],"scan":[155],"preserved":[158],"museums,":[161],"artificially":[162],"fragmented,":[163],"obtaining":[164],"good":[165],"performance.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
