{"id":"https://openalex.org/W4405845691","doi":"https://doi.org/10.1145/3704742.3704961","title":"Bootstrapping Trust in ML4Nets Solutions with Hybrid Explainability","display_name":"Bootstrapping Trust in ML4Nets Solutions with Hybrid Explainability","publication_year":2024,"publication_date":"2024-11-04","ids":{"openalex":"https://openalex.org/W4405845691","doi":"https://doi.org/10.1145/3704742.3704961"},"language":"en","primary_location":{"id":"doi:10.1145/3704742.3704961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704742.3704961","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Workshop on Practical Adoption Challenges of ML for Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5115680433","display_name":"Abduarraheem Elfandi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abduarraheem Elfandi","raw_affiliation_strings":["University of Oregon"],"raw_orcid":"https://orcid.org/0009-0001-6386-2375","affiliations":[{"raw_affiliation_string":"University of Oregon","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115680434","display_name":"Hannah Sagalyn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hannah Sagalyn","raw_affiliation_strings":["University of Oregon"],"raw_orcid":"https://orcid.org/0009-0001-1124-353X","affiliations":[{"raw_affiliation_string":"University of Oregon","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064327280","display_name":"Ramakrishnan Durairajan","orcid":"https://orcid.org/0000-0003-2859-5598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramakrishan Durairajan","raw_affiliation_strings":["University of Oregon"],"raw_orcid":"https://orcid.org/0000-0003-2859-5598","affiliations":[{"raw_affiliation_string":"University of Oregon","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082255432","display_name":"Walter Willinger","orcid":"https://orcid.org/0000-0002-1384-8188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walter Willinger","raw_affiliation_strings":["NIKSUN, Inc"],"raw_orcid":"https://orcid.org/0000-0002-1384-8188","affiliations":[{"raw_affiliation_string":"NIKSUN, Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7112,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73392017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9962999820709229,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9757999777793884,"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.7800496816635132},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6019160151481628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1381043791770935},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.09288081526756287}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.7800496816635132},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6019160151481628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1381043791770935},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.09288081526756287}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3704742.3704961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3704742.3704961","pdf_url":null,"source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Workshop on Practical Adoption Challenges of ML for Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2618851150","https://openalex.org/W2891503716","https://openalex.org/W2945976633","https://openalex.org/W2981731882","https://openalex.org/W2984651300","https://openalex.org/W3045011278","https://openalex.org/W3138819813","https://openalex.org/W4285223853","https://openalex.org/W4308632271","https://openalex.org/W4387246455","https://openalex.org/W6676297131","https://openalex.org/W6854308750"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1534274833","https://openalex.org/W3117246195","https://openalex.org/W156620619","https://openalex.org/W2098233217","https://openalex.org/W2914363205","https://openalex.org/W2616249226","https://openalex.org/W2997844990"],"abstract_inverted_index":{"The":[0],"future":[1],"success":[2],"of":[3,8,38,40,107,113],"ML4Nets---defined":[4],"as":[5],"the":[6,35,51,55,90,105,111],"application":[7],"machine":[9],"learning":[10],"(ML)":[11],"techniques":[12,83],"to":[13,26,48,70,87],"address":[14],"real-world":[15],"network":[16,24],"security":[17],"and":[18,59,75,80,109],"performance":[19],"problems---relies":[20],"critically":[21],"on":[22],"convincing":[23],"operators":[25,77,117],"deploy":[27],"ML-based":[28],"solutions":[29,42,99,122],"in":[30,54,102,123],"their":[31],"production":[32],"networks.":[33],"However,":[34],"black-box":[36],"nature":[37],"many":[39],"these":[41,98],"has":[43],"been":[44],"a":[45],"major":[46],"impediment":[47],"both":[49],"gaining":[50],"operators'":[52],"trust":[53,108],"underlying":[56],"trained":[57,94],"models":[58],"providing":[60],"effective":[61],"safety":[62,114],"guarantees.":[63],"Explainable":[64],"AI":[65],"(XAI)":[66],"represents":[67],"an":[68],"approach":[69],"dealing":[71],"with":[72,78],"this":[73],"problem":[74],"provides":[76],"global":[79],"local":[81],"explainability":[82],"that":[84,116],"enable":[85],"them":[86],"reason":[88],"about":[89],"decisions":[91],"made":[92],"by":[93],"ML":[95,121],"models.":[96],"Unfortunately,":[97],"are":[100],"lacking":[101],"simultaneously":[103],"engendering":[104],"kind":[106],"ensuring":[110],"type":[112],"guarantees":[115],"require":[118],"for":[119],"using":[120],"practice.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}