{"id":"https://openalex.org/W2026840552","doi":"https://doi.org/10.1109/igarss.2012.6351519","title":"A discriminative-generative approach to the characterization of subsurface contaminant source zones","display_name":"A discriminative-generative approach to the characterization of subsurface contaminant source zones","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2026840552","doi":"https://doi.org/10.1109/igarss.2012.6351519","mag":"2026840552"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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/A5061214829","display_name":"Bilal Ahmed","orcid":"https://orcid.org/0000-0002-9458-9412"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bilal Ahmed","raw_affiliation_strings":["Department of Computer Science, Tufts University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035957908","display_name":"Itza Mendoza\u2010Sanchez","orcid":"https://orcid.org/0000-0002-1498-8705"},"institutions":[{"id":"https://openalex.org/I4210139671","display_name":"CETYS Universidad","ror":"https://ror.org/04gvszq17","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210139671"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Itza Mendoza-Sanchez","raw_affiliation_strings":["Escuela Superior de Ingenieria y Arquitectura, Mexicali, Mexico","Escuela Superior de Ingenieria y Arquitectura, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"Escuela Superior de Ingenieria y Arquitectura, Mexicali, Mexico","institution_ids":["https://openalex.org/I4210139671"]},{"raw_affiliation_string":"Escuela Superior de Ingenieria y Arquitectura, Mexico City, Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013618541","display_name":"Roni Khardon","orcid":null},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roni Khardon","raw_affiliation_strings":["Department of Computer Science, Tufts University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051483867","display_name":"Linda M. Abriola","orcid":"https://orcid.org/0000-0003-2420-6145"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linda Abriola","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Tufts University, USA","[Department of Civil and Environmental Engineering, Tufts University, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"[Department of Civil and Environmental Engineering, Tufts University, USA]","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073127824","display_name":"Eric L. Miller","orcid":"https://orcid.org/0000-0002-3156-6002"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric L. Miller","raw_affiliation_strings":["Department of Computer Science, Department of Electrical and Computer Engineering, Tufts University, USA","Department of Computer Science, Tufts University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Department of Electrical and Computer Engineering, Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]},{"raw_affiliation_string":"Department of Computer Science, Tufts University, USA","institution_ids":["https://openalex.org/I121934306"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061214829"],"corresponding_institution_ids":["https://openalex.org/I121934306"],"apc_list":null,"apc_paid":null,"fwci":0.4421,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72227069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"614","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9966999888420105,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9966999888420105,"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/T11220","display_name":"Water Systems and Optimization","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10894","display_name":"Groundwater flow and contamination studies","score":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7216362953186035},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6889311075210571},{"id":"https://openalex.org/keywords/environmental-remediation","display_name":"Environmental remediation","score":0.576400876045227},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5344566106796265},{"id":"https://openalex.org/keywords/hazardous-waste","display_name":"Hazardous waste","score":0.5262526869773865},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5258374810218811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045672655105591},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.48361602425575256},{"id":"https://openalex.org/keywords/groundwater-remediation","display_name":"Groundwater remediation","score":0.4168664216995239},{"id":"https://openalex.org/keywords/contamination","display_name":"Contamination","score":0.3888988196849823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3307217061519623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2151617705821991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16689366102218628},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10858866572380066},{"id":"https://openalex.org/keywords/waste-management","display_name":"Waste management","score":0.08033284544944763},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07240897417068481}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7216362953186035},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6889311075210571},{"id":"https://openalex.org/C522964758","wikidata":"https://www.wikidata.org/wiki/Q2019586","display_name":"Environmental remediation","level":3,"score":0.576400876045227},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5344566106796265},{"id":"https://openalex.org/C22507642","wikidata":"https://www.wikidata.org/wiki/Q1069369","display_name":"Hazardous waste","level":2,"score":0.5262526869773865},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5258374810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045672655105591},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48361602425575256},{"id":"https://openalex.org/C37992848","wikidata":"https://www.wikidata.org/wiki/Q5611037","display_name":"Groundwater remediation","level":4,"score":0.4168664216995239},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.3888988196849823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3307217061519623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2151617705821991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16689366102218628},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10858866572380066},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.08033284544944763},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07240897417068481},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2012.6351519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.363.9367","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.9367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.tufts.edu/~roni/PUB/IGARSS12-moe-labels-gaussian.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1553458173","https://openalex.org/W1663973292","https://openalex.org/W1678889691","https://openalex.org/W1968712906","https://openalex.org/W1997287831","https://openalex.org/W2008250044","https://openalex.org/W2025653905","https://openalex.org/W2594639291","https://openalex.org/W6633113729"],"related_works":["https://openalex.org/W2378854276","https://openalex.org/W2352899200","https://openalex.org/W3194116634","https://openalex.org/W2039323019","https://openalex.org/W2026023489","https://openalex.org/W2897608541","https://openalex.org/W2355685858","https://openalex.org/W4386830266","https://openalex.org/W2382067655","https://openalex.org/W2600227920"],"abstract_inverted_index":{"Large-scale":[0],"contamination":[1],"of":[2,9,24,31,42,55,82,102],"ground":[3],"water":[4,18],"due":[5],"to":[6,16,66],"improper":[7],"disposal":[8],"hazardous":[10],"chemicals":[11],"poses":[12],"a":[13,29,39,83,92,99],"global":[14],"threat":[15],"drinking":[17],"supplies.":[19],"Effective":[20],"restoration":[21],"and":[22,71],"remediation":[23,73],"such":[25],"sites":[26],"relies":[27],"upon":[28,87],"knowledge":[30,52],"the":[32,36,43,60,80,103,118],"contaminant's":[33],"distribution":[34,45,61],"within":[35],"subsurface.":[37],"Obtaining":[38],"detailed":[40],"map":[41],"existing":[44],"is":[46],"usually":[47],"not":[48],"feasible;":[49],"rather":[50],"partial":[51],"in":[53],"terms":[54],"certain":[56],"metrics":[57],"that":[58,108],"characterize":[59],"has":[62],"recently":[63],"been":[64],"shown":[65],"be":[67,113],"sufficient":[68],"for":[69,116],"planning":[70],"monitoring":[72],"strategies.":[74],"In":[75],"this":[76],"work":[77],"we":[78],"explore":[79],"prediction":[81],"representative":[84],"metric":[85],"based":[86],"down-gradient":[88],"concentration":[89],"profiles":[90],"using":[91],"classification":[93],"framework":[94],"where":[95],"each":[96],"class":[97],"represents":[98],"particular":[100],"sub-range":[101],"metric.":[104,119],"Initial":[105],"experiments":[106],"show":[107],"our":[109],"proposed":[110],"model":[111],"can":[112],"used":[114],"effectively":[115],"predicting":[117]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
