{"id":"https://openalex.org/W3093990910","doi":"https://doi.org/10.1145/3340531.3412088","title":"A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction","display_name":"A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093990910","doi":"https://doi.org/10.1145/3340531.3412088","mag":"3093990910"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","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/A5017702643","display_name":"Bardh Prenkaj","orcid":"https://orcid.org/0000-0002-2991-2279"},"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":"Bardh Prenkaj","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070270772","display_name":"Paola Velardi","orcid":"https://orcid.org/0000-0003-0884-1499"},"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":"Paola Velardi","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039040557","display_name":"Damiano Distante","orcid":"https://orcid.org/0000-0002-8467-535X"},"institutions":[{"id":"https://openalex.org/I4210130905","display_name":"Unitelma Sapienza University","ror":"https://ror.org/04dfrdm61","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210130905"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Damiano Distante","raw_affiliation_strings":["University of Rome Unitelma Sapienza, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Rome Unitelma Sapienza, Rome, Italy","institution_ids":["https://openalex.org/I4210130905"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036738140","display_name":"Stefano Faralli","orcid":"https://orcid.org/0000-0003-3684-8815"},"institutions":[{"id":"https://openalex.org/I4210130905","display_name":"Unitelma Sapienza University","ror":"https://ror.org/04dfrdm61","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210130905"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Faralli","raw_affiliation_strings":["University of Rome Unitelma Sapienza, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Rome Unitelma Sapienza, Rome, Italy","institution_ids":["https://openalex.org/I4210130905"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017702643"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":1.0824,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83072386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2169","last_page":"2172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9783999919891357,"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/computer-science","display_name":"Computer science","score":0.7509876489639282},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.718524158000946},{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.6886823177337646},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6253837943077087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6094526648521423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5918056964874268},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5904886722564697},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5846354961395264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17428702116012573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11551982164382935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7509876489639282},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.718524158000946},{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.6886823177337646},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6253837943077087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6094526648521423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918056964874268},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5904886722564697},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5846354961395264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17428702116012573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11551982164382935},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3340531.3412088","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1435344","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1435344","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1523179845","https://openalex.org/W1792679987","https://openalex.org/W1966716734","https://openalex.org/W2038749650","https://openalex.org/W2079058968","https://openalex.org/W2093825590","https://openalex.org/W2171562468","https://openalex.org/W2339810009","https://openalex.org/W2470673105","https://openalex.org/W2546314413","https://openalex.org/W2607113351","https://openalex.org/W2791021147","https://openalex.org/W2845003663","https://openalex.org/W2905931716","https://openalex.org/W2910068345","https://openalex.org/W2963532813","https://openalex.org/W2995203910","https://openalex.org/W3030204804"],"related_works":["https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2087830269","https://openalex.org/W3106281778","https://openalex.org/W2140154150","https://openalex.org/W638612878","https://openalex.org/W4324138256","https://openalex.org/W2083330954"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,70,94],"compare":[4],"several":[5],"deep":[6],"and":[7,50,78,87],"surface":[8],"state-of-the-art":[9],"machine":[10,59],"learning":[11,60],"methods":[12,61,82],"for":[13],"risk":[14],"prediction":[15],"in":[16,67],"problems":[17],"that":[18],"can":[19],"be":[20],"modelled":[21],"as":[22,42],"a":[23],"trajectory":[24],"of":[25,37,58,80,101],"events":[26,66],"separated":[27],"by":[28],"irregular":[29],"time":[30],"intervals.":[31],"Trajectories":[32],"are":[33],"the":[34,54,97,99],"abstract":[35],"representation":[36],"many":[38,51],"real-life":[39],"data,":[40],"such":[41],"patient":[43],"records,":[44],"student":[45],"e-tivities,":[46],"online":[47],"financial":[48],"transactions,":[49],"others.":[52],"Given":[53],"continuously":[55],"increasing":[56],"number":[57],"to":[62,72,96],"predict":[63],"future":[64],"high-risk":[65],"these":[68,81],"contexts,":[69],"aim":[71],"provide":[73],"more":[74],"insight":[75],"into":[76],"reproducibility":[77],"applicability":[79],"when":[83],"changing":[84],"datasets,":[85],"parameters,":[86],"evaluation":[88],"measures.":[89],"As":[90],"an":[91],"additional":[92],"contribution,":[93],"release":[95],"community":[98],"implementations":[100],"all":[102],"compared":[103],"methods.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}