{"id":"https://openalex.org/W4378715018","doi":"https://doi.org/10.1007/978-3-031-33383-5_6","title":"MetaCitta: Deep Meta-Learning for\u00a0Spatio-Temporal Prediction Across Cities and\u00a0Tasks","display_name":"MetaCitta: Deep Meta-Learning for\u00a0Spatio-Temporal Prediction Across Cities and\u00a0Tasks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378715018","doi":"https://doi.org/10.1007/978-3-031-33383-5_6"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-33383-5_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-33383-5_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-33383-5_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-33383-5_6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039431969","display_name":"Ashutosh Sao","orcid":"https://orcid.org/0000-0002-7049-3387"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ashutosh Sao","raw_affiliation_strings":["L3S Research Center, Leibniz Universit\u00e4t Hannover, Hanover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Hanover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083931403","display_name":"Simon Gottschalk","orcid":"https://orcid.org/0000-0003-2576-4640"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Gottschalk","raw_affiliation_strings":["L3S Research Center, Leibniz Universit\u00e4t Hannover, Hanover, Germany"],"affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Hanover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039161783","display_name":"Nicolas Tempelmeier","orcid":"https://orcid.org/0000-0003-0911-6264"},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolas Tempelmeier","raw_affiliation_strings":["Volkswagen Group, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen Group, Hannover, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087621364","display_name":"Elena Demidova","orcid":"https://orcid.org/0000-0002-5134-9072"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]},{"id":"https://openalex.org/I4387154616","display_name":"Lamarr Institute for Machine Learning and Artificial Intelligence","ror":"https://ror.org/04s11ea33","country_code":null,"type":"facility","lineage":["https://openalex.org/I135140700","https://openalex.org/I200332995","https://openalex.org/I4210098062","https://openalex.org/I4210144576","https://openalex.org/I4387154616","https://openalex.org/I4923324","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elena Demidova","raw_affiliation_strings":["Data Science & Intelligent Systems Group (DSIS), University of Bonn, Bonn, Germany","Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Data Science & Intelligent Systems Group (DSIS), University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]},{"raw_affiliation_string":"Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany","institution_ids":["https://openalex.org/I4923324","https://openalex.org/I4387154616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039431969"],"corresponding_institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210136150"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":5.3225,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96087258,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9560999870300293,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8537282943725586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7103983759880066},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6599744558334351},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6387923955917358},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5979461073875427},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5330706238746643},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4560115933418274},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43962401151657104},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4295985698699951},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2942209243774414},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.21982994675636292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8537282943725586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7103983759880066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6599744558334351},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6387923955917358},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5979461073875427},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5330706238746643},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4560115933418274},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43962401151657104},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4295985698699951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2942209243774414},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.21982994675636292},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-33383-5_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-33383-5_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-33383-5_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-33383-5_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-33383-5_6","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-33383-5_6.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7275571203","display_name":null,"funder_award_id":"424985896","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7393147716","display_name":null,"funder_award_id":"Climate","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4378715018.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W174941419","https://openalex.org/W1849277567","https://openalex.org/W1971014294","https://openalex.org/W2528639018","https://openalex.org/W2911752602","https://openalex.org/W2963043696","https://openalex.org/W2966783050","https://openalex.org/W3012808657","https://openalex.org/W3092053846","https://openalex.org/W3154693830","https://openalex.org/W3154934604","https://openalex.org/W4285604458","https://openalex.org/W4290944372"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W4375867731","https://openalex.org/W4283332751","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128"],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"spatio-temporal":[2,16,87,102],"prediction":[3,121],"is":[4,37,132],"essential":[5],"for":[6,26,123],"capturing":[7],"city":[8],"dynamics":[9],"and":[10,22,29,50,72,82,106,126],"planning":[11],"mobility":[12],"services.":[13],"State-of-the-art":[14],"deep":[15,61,88],"predictive":[17,42],"models":[18,43],"depend":[19],"on":[20],"rich":[21],"representative":[23],"training":[24],"data":[25,36,70,78,112],"target":[27],"regions":[28],"tasks.":[30],"However,":[31],"the":[32,66,77,99,115,137],"availability":[33],"of":[34,69],"such":[35],"typically":[38],"limited.":[39],"Furthermore,":[40,130],"existing":[41,138],"fail":[44],"to":[45],"utilize":[46],"cross-correlations":[47],"across":[48,104],"tasks":[49,83,105],"cities.":[51,107],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56,92],"MetaCitta":[57,75,117,131],",":[58],"a":[59,85,93],"novel":[60,94],"meta-learning":[62,95,139],"approach":[63,118],"that":[64,97,114],"addresses":[65],"critical":[67],"challenges":[68],"scarcity":[71],"model":[73],"generalization.":[74],"adopts":[76],"from":[79],"different":[80],"cities":[81],"in":[84],"generalizable":[86],"neural":[89],"network.":[90],"We":[91],"algorithm":[96],"minimizes":[98],"discrepancy":[100],"between":[101],"representations":[103],"Our":[108],"experiments":[109],"with":[110],"real-world":[111],"demonstrate":[113],"proposed":[116],"outperforms":[119],"state-of-the-art":[120],"methods":[122],"zero-shot":[124],"learning":[125],"pre-training":[127],"plus":[128],"fine-tuning.":[129],"computationally":[133],"more":[134],"efficient":[135],"than":[136],"approaches.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}