{"id":"https://openalex.org/W4406459390","doi":"https://doi.org/10.1109/bigdata62323.2024.10825840","title":"Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning","display_name":"Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459390","doi":"https://doi.org/10.1109/bigdata62323.2024.10825840"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5009482051","display_name":"Maurice G\u00fcnder","orcid":"https://orcid.org/0000-0001-9308-8889"},"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"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Maurice G\u00fcnder","raw_affiliation_strings":["University of Bonn,Institute for Computer Science,Bonn,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Institute for Computer Science,Bonn,Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115904720","display_name":"Facundo R. Ispizua Y.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Facundo R. Ispizua Y.","raw_affiliation_strings":["Beet Research IfZ,Institute for Sugar,Göttingen,Germany"],"affiliations":[{"raw_affiliation_string":"Beet Research IfZ,Institute for Sugar,Göttingen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053988311","display_name":"Anne\u2010Katrin Mahlein","orcid":"https://orcid.org/0000-0003-1091-3690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anne-Katrin Mahlein","raw_affiliation_strings":["Beet Research IfZ,Institute for Sugar,Göttingen,Germany"],"affiliations":[{"raw_affiliation_string":"Beet Research IfZ,Institute for Sugar,Göttingen,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003875445","display_name":"Christian Bauckhage","orcid":"https://orcid.org/0000-0001-6615-2128"},"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"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Bauckhage","raw_affiliation_strings":["University of Bonn,Institute for Computer Science,Bonn,Germany"],"affiliations":[{"raw_affiliation_string":"University of Bonn,Institute for Computer Science,Bonn,Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009482051"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26173122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4692","last_page":"4701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.669700026512146,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11764","display_name":"Evolution and Genetic Dynamics","score":0.669700026512146,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6489999890327454,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.5623000264167786,"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":0.7813003063201904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47751370072364807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43335235118865967},{"id":"https://openalex.org/keywords/modeling-and-simulation","display_name":"Modeling and simulation","score":0.4312629997730255},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.2063659429550171}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813003063201904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47751370072364807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43335235118865967},{"id":"https://openalex.org/C167343916","wikidata":"https://www.wikidata.org/wiki/Q6888384","display_name":"Modeling and simulation","level":2,"score":0.4312629997730255},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2063659429550171}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W14642108","https://openalex.org/W1953649913","https://openalex.org/W1985066068","https://openalex.org/W2003971202","https://openalex.org/W2005858262","https://openalex.org/W2055838864","https://openalex.org/W2060785321","https://openalex.org/W2160088268","https://openalex.org/W2167759966","https://openalex.org/W2169401676","https://openalex.org/W2985315060","https://openalex.org/W3012388828","https://openalex.org/W3042383935","https://openalex.org/W3200712324","https://openalex.org/W4210682259","https://openalex.org/W4280491915","https://openalex.org/W4283124067","https://openalex.org/W4383334362","https://openalex.org/W4385245566","https://openalex.org/W4387077547","https://openalex.org/W4388513223","https://openalex.org/W4388552797","https://openalex.org/W4389237989","https://openalex.org/W4392250253","https://openalex.org/W4392253208","https://openalex.org/W6675354473","https://openalex.org/W6739901393","https://openalex.org/W6753583435"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Thanks":[0],"to":[1,59,83],"the":[2,25],"progress":[3],"in":[4,36],"precision":[5],"agriculture":[6],"and":[7,27,33,50,67,91,117],"remote":[8],"sensing,":[9],"automatic":[10],"visual":[11],"disease":[12,30,88],"severity":[13,89],"scoring":[14],"of":[15,29,119],"largescale":[16],"fields":[17],"is":[18],"getting":[19],"more":[20],"efficient.":[21],"This":[22],"potentially":[23],"allows":[24],"investigation":[26],"observation":[28],"spread":[31],"dynamics":[32],"infection":[34,85],"incidence":[35],"real-world":[37],"field":[38],"trials.":[39],"Furthermore,":[40],"phytopathological":[41],"research":[42],"has":[43],"been":[44],"obtaining":[45],"comprehensive":[46],"knowledge":[47,72],"about":[48],"pathogens":[49],"epidemiology":[51],"for":[52,100,114],"decades.":[53],"In":[54],"this":[55],"work,":[56],"we":[57,80],"want":[58],"leverage":[60],"modern":[61],"data-driven":[62],"Machine":[63],"Learning":[64],"(ML)":[65],"methods":[66],"connect":[68],"them":[69],"with":[70],"available":[71],"incorporated":[73],"by":[74],"simulation":[75],"techniques.":[76],"As":[77],"a":[78,101],"result,":[79],"show":[81,108],"how":[82],"create":[84],"datasets":[86],"from":[87],"annotations":[90],"environmental":[92],"data":[93,99],"that":[94,112],"can":[95],"serve":[96],"as":[97],"training":[98],"transformer-based":[102],"ML":[103],"model.":[104],"First":[105],"preliminary":[106],"results":[107,111],"coherent,":[109],"interpretable":[110],"motivate":[113],"further":[115],"optimization":[116],"improvements":[118],"our":[120],"modeling":[121],"strategy.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}