{"id":"https://openalex.org/W4294831579","doi":"https://doi.org/10.1007/978-3-031-14862-0_4","title":"Testing and\u00a0Verification of\u00a0the\u00a0Deep Neural Networks Against Sparse Pixel Defects","display_name":"Testing and\u00a0Verification of\u00a0the\u00a0Deep Neural Networks Against Sparse Pixel Defects","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294831579","doi":"https://doi.org/10.1007/978-3-031-14862-0_4"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-14862-0_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-14862-0_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5073959967","display_name":"Micha\u0142 Szczepankiewicz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michal Szczepankiewicz","raw_affiliation_strings":["NVIDIA, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA, Warsaw, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050970609","display_name":"Krystian Radlak","orcid":"https://orcid.org/0000-0003-1872-5651"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE","PL"],"is_corresponding":false,"raw_author_name":"Krystian Radlak","raw_affiliation_strings":["Vay Technology, Berlin, Germany","Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vay Technology, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057708091","display_name":"Karolina Szczepankiewicz","orcid":null},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Karolina Szczepankiewicz","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039143935","display_name":"Adam Popowicz","orcid":"https://orcid.org/0000-0003-3184-5228"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Popowicz","raw_affiliation_strings":["Silesian University of Technology, Gliwice, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023467386","display_name":"Pawe\u0142 Zawistowski","orcid":"https://orcid.org/0000-0002-0273-7060"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Zawistowski","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24088611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7237160205841064},{"id":"https://openalex.org/keywords/dependability","display_name":"Dependability","score":0.6806354522705078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6721658706665039},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6378504633903503},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6114333868026733},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.559813916683197},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5219273567199707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4916897416114807},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4828917980194092},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4782385230064392},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41261380910873413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34926262497901917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7237160205841064},{"id":"https://openalex.org/C77019957","wikidata":"https://www.wikidata.org/wiki/Q2689057","display_name":"Dependability","level":2,"score":0.6806354522705078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6721658706665039},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6378504633903503},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6114333868026733},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.559813916683197},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5219273567199707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4916897416114807},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4828917980194092},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4782385230064392},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41261380910873413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34926262497901917},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-14862-0_4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-14862-0_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1595159159","https://openalex.org/W2028506168","https://openalex.org/W2043988312","https://openalex.org/W2067713319","https://openalex.org/W2169467627","https://openalex.org/W2745565856","https://openalex.org/W2765424254","https://openalex.org/W2798302089","https://openalex.org/W2892341857","https://openalex.org/W2919358988","https://openalex.org/W2926551842","https://openalex.org/W2949789602","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2963952467","https://openalex.org/W2964152294","https://openalex.org/W2985390828","https://openalex.org/W2997941096","https://openalex.org/W3103557498","https://openalex.org/W3149569350","https://openalex.org/W3154935500","https://openalex.org/W6601343367"],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W3171219085","https://openalex.org/W4379255972","https://openalex.org/W3198478951","https://openalex.org/W4308233823","https://openalex.org/W2888394138","https://openalex.org/W3033907886","https://openalex.org/W2901671134","https://openalex.org/W2947175736","https://openalex.org/W3002363318"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
