{"id":"https://openalex.org/W3427720","doi":null,"title":"Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection","display_name":"Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection","publication_year":1997,"publication_date":"1997-07-08","ids":{"openalex":"https://openalex.org/W3427720","mag":"3427720"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.34.9157","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dsv.su.se/~asker/papers/ICML97.ps","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5022440052","display_name":"Lars Asker","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lars Asker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046322087","display_name":"Richard Maclin","orcid":"https://orcid.org/0009-0005-5494-0617","observed_orcids":["https://orcid.org/0009-0005-5494-0617"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard Maclin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0529,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90642124,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.298799991607666,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.298799991607666,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.11150000244379044,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.1031000018119812,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.800000011920929},{"id":"https://openalex.org/keywords/classifier-selection","display_name":"classifier selection","score":0.7950000166893005},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"feature engineering","score":0.7039999961853027},{"id":"https://openalex.org/keywords/venus","display_name":"Venus","score":0.8820000290870667},{"id":"https://openalex.org/keywords/synthetic-aperture-radar-imagery","display_name":"synthetic aperture radar images","score":0.8349999785423279},{"id":"https://openalex.org/keywords/magellan-mission","display_name":"Magellan mission","score":0.8289999961853027},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"domain knowledge","score":0.7200000286102295},{"id":"https://openalex.org/keywords/specimen-collection","display_name":"sample collection","score":0.7820000052452087}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.712596595287323},{"id":"https://openalex.org/C120806208","wikidata":"https://www.wikidata.org/wiki/Q8072","display_name":"Volcano","level":2,"score":0.6382559537887573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5527233481407166},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5427170395851135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412243604660034},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4874870777130127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4679241180419922},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4377685785293579},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3385348320007324},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.21429920196533203}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.34.9157","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dsv.su.se/~asker/papers/ICML97.ps","raw_type":"text"},{"id":"mag:3427720","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/icml/icml1997.html#AskerM97","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3099674108","https://openalex.org/W6998763015","https://openalex.org/W7099181736","https://openalex.org/W809387089","https://openalex.org/W1788543673","https://openalex.org/W1531590920","https://openalex.org/W7097726337","https://openalex.org/W7020375465","https://openalex.org/W2144660879","https://openalex.org/W7135215779"],"abstract_inverted_index":{"As":[0],"machine":[1,36,72,94],"learning":[2,37,73,95],"has":[3],"graduated":[4],"from":[5,113],"toy":[6],"problems":[7,18],"to":[8,21,52,97,131,151],"\"real":[9,16,100],"world\"":[10,17,101],"applications,":[11],"users":[12,40],"are":[13,28,41,65,129],"finding":[14,42],"that":[15,27,43,120,141],"require":[19],"them":[20],"perform":[22],"aspects":[23],"of":[24,34,46,50,60,62,80,93,111,123,134,144],"problem":[25,55,64],"solving":[26],"not":[29],"currently":[30],"addressed":[31],"by":[32],"much":[33],"the":[35,44,63,76,114,121,132,142,153],"literature.":[38],"Specifically,":[39],"tasks":[45],"selecting":[47],"a":[48,54,58,70,81,90,98,135],"set":[49,59],"features":[51],"define":[53],"and":[56,126],"obtaining":[57],"examples":[61],"often":[66,149],"more":[67],"important":[68],"for":[69],"successful":[71],"application":[74],"than":[75],"selection":[77,125],"or":[78],"development":[79],"specific":[82],"classification":[83],"method.":[84],"In":[85],"this":[86],"paper":[87],"we":[88],"present":[89],"case":[91],"study":[92],"applied":[96],"difficult":[99],"problem:":[102],"detecting":[103],"volcanos":[104],"in":[105],"SAR":[106],"(synthetic":[107],"aperture":[108],"radar)":[109],"images":[110],"Venus":[112],"Magellan":[115],"dataset.":[116],"Our":[117],"work":[118],"demonstrates":[119],"processes":[122],"feature":[124],"sample":[127],"collection":[128],"critical":[130],"production":[133],"good":[136],"classifier.":[137],"We":[138],"further":[139],"show":[140],"use":[143],"domain":[145],"dependent":[146],"knowledge":[147],"can":[148],"serve":[150],"enhance":[152],"resulting":[154],"...":[155]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}