{"id":"https://openalex.org/W4382362953","doi":"https://doi.org/10.1145/3589806.3600044","title":"On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness","display_name":"On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4382362953","doi":"https://doi.org/10.1145/3589806.3600044"},"language":"en","primary_location":{"id":"doi:10.1145/3589806.3600044","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589806.3600044","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589806.3600044","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Conference on Reproducibility and Replicability","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589806.3600044","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022601333","display_name":"Odd Erik Gundersen","orcid":"https://orcid.org/0000-0002-9754-5941"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Odd Erik Gundersen","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063189787","display_name":"Saeid Shamsaliei","orcid":"https://orcid.org/0000-0001-9444-7185"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Saeid Shamsaliei","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway","institution_ids":["https://openalex.org/I204778367"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055245938","display_name":"H\u00e5kon Sletten Kj\u00e6rnli","orcid":"https://orcid.org/0009-0006-5441-6038"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H\u00e5kon Sletten Kj\u00e6rnli","raw_affiliation_strings":["Aneo AS, Norway"],"affiliations":[{"raw_affiliation_string":"Aneo AS, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040301804","display_name":"Helge Langseth","orcid":"https://orcid.org/0000-0001-6324-6284"},"institutions":[{"id":"https://openalex.org/I204778367","display_name":"Norwegian University of Science and Technology","ror":"https://ror.org/05xg72x27","country_code":"NO","type":"education","lineage":["https://openalex.org/I204778367"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Helge Langseth","raw_affiliation_strings":["Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Norwegian University of Science and Technology, Norway and Aneo AI Research, Aneo AS, Norway","institution_ids":["https://openalex.org/I204778367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022601333"],"corresponding_institution_ids":["https://openalex.org/I204778367"],"apc_list":null,"apc_paid":null,"fwci":1.3897,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84709785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.994700014591217,"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":0.994700014591217,"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/T10320","display_name":"Neural Networks and Applications","score":0.9911999702453613,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.8695366978645325},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.7966125011444092},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.7915359139442444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7428717613220215},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6983712315559387},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5879749655723572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5421217083930969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46594440937042236},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35598519444465637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3224763870239258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3208354413509369},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17764168977737427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16942372918128967}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8695366978645325},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7966125011444092},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.7915359139442444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428717613220215},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6983712315559387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5879749655723572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5421217083930969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46594440937042236},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35598519444465637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224763870239258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3208354413509369},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17764168977737427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16942372918128967},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589806.3600044","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589806.3600044","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589806.3600044","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Conference on Reproducibility and Replicability","raw_type":"proceedings-article"},{"id":"pmh:oai:ntnuopen.ntnu.no:11250/3084340","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3084340","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"37-61","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.1145/3589806.3600044","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589806.3600044","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589806.3600044","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM Conference on Reproducibility and Replicability","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382362953.pdf","grobid_xml":"https://content.openalex.org/works/W4382362953.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2020800417","https://openalex.org/W2194775991","https://openalex.org/W2329558494","https://openalex.org/W2406493898","https://openalex.org/W2604847698","https://openalex.org/W2754517384","https://openalex.org/W2803775366","https://openalex.org/W2913954081","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963940534","https://openalex.org/W2980994438","https://openalex.org/W3008058947","https://openalex.org/W3042623101","https://openalex.org/W3089238154","https://openalex.org/W3122184684","https://openalex.org/W3135261467","https://openalex.org/W3136455557","https://openalex.org/W3159352807","https://openalex.org/W3176707157","https://openalex.org/W3177349994","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W4382362953","https://openalex.org/W2368205053","https://openalex.org/W4225307033","https://openalex.org/W1629725936","https://openalex.org/W4310608578","https://openalex.org/W2359549665","https://openalex.org/W4205990285","https://openalex.org/W2990868490","https://openalex.org/W3193857078","https://openalex.org/W3208304128"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,51,56,99],"neural":[3,44],"networks":[4],"differ":[5],"when":[6],"the":[7,11,14,36,57,95],"only":[8],"difference":[9],"is":[10],"seed":[12],"initializing":[13],"pseudo-random":[15],"number":[16,50],"generator":[17],"that":[18,38,74,92],"generates":[19],"random":[20,33],"numbers":[21],"for":[22,60],"their":[23],"training.":[24],"In":[25],"this":[26,68],"paper":[27],"we":[28,39,88],"are":[29],"concerned":[30],"with":[31,43,106],"how":[32],"initialization":[34],"affect":[35],"conclusions":[37,76,100],"draw":[40],"from":[41,81,102],"experiments":[42,53],"networks.":[45],"We":[46],"run":[47],"a":[48],"high":[49],"repeated":[52],"using":[54],"state":[55],"art":[58],"models":[59],"time-series":[61],"prediction":[62],"and":[63,97],"image":[64],"classification":[65],"to":[66],"investigate":[67],"statistical":[69],"phenomenon.":[70],"Our":[71],"investigations":[72],"show":[73],"erroneous":[75],"can":[77],"easily":[78],"be":[79],"drawn":[80],"such":[82],"experiments.":[83],"Based":[84],"on":[85],"these":[86],"observations":[87],"propose":[89],"several":[90],"measures":[91],"will":[93],"improve":[94],"robustness":[96],"trustworthiness":[98],"inferred":[101],"model":[103],"comparison":[104],"studies":[105],"small":[107],"absolute":[108],"effect":[109],"sizes.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}