{"id":"https://openalex.org/W3212339352","doi":"https://doi.org/10.1007/s10994-021-06118-z","title":"Few-shot learning for spatial regression via neural embedding-based Gaussian processes","display_name":"Few-shot learning for spatial regression via neural embedding-based Gaussian processes","publication_year":2021,"publication_date":"2021-11-12","ids":{"openalex":"https://openalex.org/W3212339352","doi":"https://doi.org/10.1007/s10994-021-06118-z","mag":"3212339352"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-021-06118-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-021-06118-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-021-06118-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-021-06118-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034538103","display_name":"Tomoharu Iwata","orcid":"https://orcid.org/0000-0003-4425-1971"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoharu Iwata","raw_affiliation_strings":["NTT Communication Science Laboratories, Kyoto, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4425-1971","affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000602137","display_name":"Yusuke Tanaka","orcid":"https://orcid.org/0000-0002-7316-1425"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Tanaka","raw_affiliation_strings":["NTT Communication Science Laboratories, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034538103"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.3885,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.53159555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"111","issue":"4","first_page":"1239","last_page":"1257"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9801999926567078,"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/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9164000153541565,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727497935295105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642376184463501},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6182824373245239},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5855892896652222},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5820069313049316},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5755772590637207},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5555030703544617},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5333991050720215},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5242921710014343},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5124226212501526},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4879262149333954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4210440218448639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34241580963134766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16102251410484314},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1255766749382019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727497935295105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642376184463501},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6182824373245239},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5855892896652222},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5820069313049316},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5755772590637207},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5555030703544617},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5333991050720215},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5242921710014343},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5124226212501526},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4879262149333954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4210440218448639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34241580963134766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16102251410484314},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1255766749382019},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-021-06118-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-021-06118-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-021-06118-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-021-06118-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-021-06118-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-021-06118-z.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212339352.pdf","grobid_xml":"https://content.openalex.org/works/W3212339352.grobid-xml"},"referenced_works_count":105,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1827274168","https://openalex.org/W1870250857","https://openalex.org/W1959608418","https://openalex.org/W1970679066","https://openalex.org/W1978056375","https://openalex.org/W2004807582","https://openalex.org/W2019597798","https://openalex.org/W2061163110","https://openalex.org/W2067960722","https://openalex.org/W2068695859","https://openalex.org/W2074984119","https://openalex.org/W2075364600","https://openalex.org/W2081496546","https://openalex.org/W2090636204","https://openalex.org/W2096812863","https://openalex.org/W2108495858","https://openalex.org/W2112738128","https://openalex.org/W2114735331","https://openalex.org/W2119595900","https://openalex.org/W2120626248","https://openalex.org/W2123399796","https://openalex.org/W2128338591","https://openalex.org/W2148522164","https://openalex.org/W2150552259","https://openalex.org/W2153207204","https://openalex.org/W2168464387","https://openalex.org/W2182365035","https://openalex.org/W2251230758","https://openalex.org/W2298457129","https://openalex.org/W2316627393","https://openalex.org/W2411334469","https://openalex.org/W2427497464","https://openalex.org/W2472819217","https://openalex.org/W2514525802","https://openalex.org/W2559655401","https://openalex.org/W2597289420","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2612690371","https://openalex.org/W2739429571","https://openalex.org/W2741826335","https://openalex.org/W2742093937","https://openalex.org/W2751656674","https://openalex.org/W2753160622","https://openalex.org/W2772124661","https://openalex.org/W2785902771","https://openalex.org/W2799251726","https://openalex.org/W2803895400","https://openalex.org/W2804368052","https://openalex.org/W2804602357","https://openalex.org/W2883670420","https://openalex.org/W2884901161","https://openalex.org/W2891413839","https://openalex.org/W2899771611","https://openalex.org/W2913243980","https://openalex.org/W2947341830","https://openalex.org/W2949247522","https://openalex.org/W2951249948","https://openalex.org/W2951775809","https://openalex.org/W2952228678","https://openalex.org/W2952291055","https://openalex.org/W2952433032","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2963557251","https://openalex.org/W2963775850","https://openalex.org/W2964078140","https://openalex.org/W2964121744","https://openalex.org/W2964121937","https://openalex.org/W2964135722","https://openalex.org/W2970105755","https://openalex.org/W2979324907","https://openalex.org/W2981368934","https://openalex.org/W3005836185","https://openalex.org/W3005896558","https://openalex.org/W3034691180","https://openalex.org/W3105853383","https://openalex.org/W3158636765","https://openalex.org/W4211049957","https://openalex.org/W4234408942","https://openalex.org/W4300974813","https://openalex.org/W4301959443","https://openalex.org/W6629804754","https://openalex.org/W6631190155","https://openalex.org/W6638792797","https://openalex.org/W6640963894","https://openalex.org/W6677658955","https://openalex.org/W6684770997","https://openalex.org/W6717697761","https://openalex.org/W6729403857","https://openalex.org/W6735236233","https://openalex.org/W6743661861","https://openalex.org/W6744580074","https://openalex.org/W6751959828","https://openalex.org/W6752031173","https://openalex.org/W6752040014","https://openalex.org/W6753311412","https://openalex.org/W6756040250","https://openalex.org/W6758711939","https://openalex.org/W6758804334","https://openalex.org/W6763049584","https://openalex.org/W6767758659","https://openalex.org/W6997162883","https://openalex.org/W7073794093"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2115519811"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}