{"id":"https://openalex.org/W4380591169","doi":"https://doi.org/10.1109/hpsr57248.2023.10148033","title":"A statistical approach to improve CNN classification accuracy","display_name":"A statistical approach to improve CNN classification accuracy","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4380591169","doi":"https://doi.org/10.1109/hpsr57248.2023.10148033"},"language":"en","primary_location":{"id":"doi:10.1109/hpsr57248.2023.10148033","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/hpsr57248.2023.10148033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)","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/A5006680418","display_name":"Vasileios Pentsos","orcid":"https://orcid.org/0009-0003-2930-7911"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasileios Pentsos","raw_affiliation_strings":["Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL","School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University, Carbondale, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University, Carbondale, IL","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083284025","display_name":"Spyros Tragoudas","orcid":"https://orcid.org/0009-0006-2575-3588"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Spyros Tragoudas","raw_affiliation_strings":["Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL","School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University, Carbondale, IL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southern Illinois University,School of Electrical, Computer, and Biomedical Engineering,Carbondale,IL","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University, Carbondale, IL","institution_ids":["https://openalex.org/I110378019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110378019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05966997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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":0.9969000220298767,"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":0.7325382232666016},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7245886921882629},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.7080385684967041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6666476726531982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6611022353172302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6075526475906372},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.4172520041465759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3368868827819824}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325382232666016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7245886921882629},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.7080385684967041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6666476726531982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6611022353172302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6075526475906372},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.4172520041465759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3368868827819824}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpsr57248.2023.10148033","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/hpsr57248.2023.10148033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2963811535","https://openalex.org/W3019179251","https://openalex.org/W3046384474","https://openalex.org/W3083472197","https://openalex.org/W3098166964","https://openalex.org/W3117221752","https://openalex.org/W3128222515","https://openalex.org/W4200022128","https://openalex.org/W4210379563","https://openalex.org/W6781595880"],"related_works":["https://openalex.org/W3213976941","https://openalex.org/W2911497689","https://openalex.org/W2604192360","https://openalex.org/W2952813363","https://openalex.org/W4400659363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"achieved":[5],"state-of-the-art":[6],"performance":[7],"in":[8,20,67],"image":[9,40,75],"classification":[10,71],"tasks.":[11],"However,":[12],"they":[13],"may":[14],"underperform":[15],"for":[16],"specific":[17],"classes,":[18],"resulting":[19],"misclassifications.":[21],"To":[22],"address":[23],"this":[24],"issue,":[25],"the":[26,34,47,55,62,70,79],"proposed":[27,63],"method":[28,43,64],"involves":[29],"two":[30],"steps":[31],"that":[32,61],"use":[33],"Mann-Whitney":[35],"U":[36],"test":[37],"on":[38,46],"generated":[39],"distributions.":[41],"The":[42,58],"is":[44,65],"evaluated":[45],"publicly":[48],"available":[49],"dataset":[50],"CIFAR100,":[51],"utilizing":[52],"ResNet-50":[53],"as":[54],"baseline":[56],"network.":[57],"results":[59],"show":[60],"effective":[66],"significantly":[68],"improving":[69],"accuracy":[72],"of":[73],"low-accuracy":[74],"classes":[76],"while":[77],"preserving":[78],"high-accuracy":[80],"classes.":[81]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}