{"id":"https://openalex.org/W4285304096","doi":"https://doi.org/10.1007/978-3-031-09282-4_35","title":"Explaining Image Classifications with\u00a0Near Misses, Near Hits and\u00a0Prototypes","display_name":"Explaining Image Classifications with\u00a0Near Misses, Near Hits and\u00a0Prototypes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285304096","doi":"https://doi.org/10.1007/978-3-031-09282-4_35"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-09282-4_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-09282-4_35","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/A5043125667","display_name":"Marvin Herchenbach","orcid":"https://orcid.org/0000-0002-4910-5888"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marvin Herchenbach","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4910-5888","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047192599","display_name":"Dennis M\u00fcller","orcid":"https://orcid.org/0000-0002-4482-4912"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dennis M\u00fcller","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4482-4912","affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073402626","display_name":"Stephan Scheele","orcid":"https://orcid.org/0000-0003-0787-3181"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Scheele","raw_affiliation_strings":["Otto-Friedrich-Universit\u00e4t Bamberg, Bamberg, Germany","Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0787-3181","affiliations":[{"raw_affiliation_string":"Otto-Friedrich-Universit\u00e4t Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027156356","display_name":"Ute Schmid","orcid":"https://orcid.org/0000-0002-1301-0326"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ute Schmid","raw_affiliation_strings":["Otto-Friedrich-Universit\u00e4t Bamberg, Bamberg, Germany","Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1301-0326","affiliations":[{"raw_affiliation_string":"Otto-Friedrich-Universit\u00e4t Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Sensory Perception and Analytics | Comprehensible AI, Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany","institution_ids":["https://openalex.org/I4210124274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043125667"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210124274"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.7389,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91953912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"430"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9993000030517578,"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":0.9993000030517578,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9835000038146973,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8424461483955383},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6940720677375793},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6844726800918579},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5889147520065308},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5670564770698547},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5590300559997559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5491639375686646},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5455431938171387},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5259580612182617},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4993455410003662},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.44755035638809204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4337427616119385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40011972188949585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3309571146965027},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.18707537651062012},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15388450026512146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10116806626319885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424461483955383},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6940720677375793},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6844726800918579},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5889147520065308},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5670564770698547},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5590300559997559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5491639375686646},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5455431938171387},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5259580612182617},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4993455410003662},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.44755035638809204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4337427616119385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40011972188949585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3309571146965027},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18707537651062012},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15388450026512146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10116806626319885},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-09282-4_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-09282-4_35","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"},{"id":"pmh:oai:null:publica/428742","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/428742","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1986285750","https://openalex.org/W2891503716","https://openalex.org/W2897098291","https://openalex.org/W2964278775","https://openalex.org/W3000716014","https://openalex.org/W3003420231","https://openalex.org/W3100987608","https://openalex.org/W3121787084","https://openalex.org/W3171768271","https://openalex.org/W3196211645","https://openalex.org/W3202365497"],"related_works":["https://openalex.org/W2810865670","https://openalex.org/W3177008965","https://openalex.org/W2742991909","https://openalex.org/W2597787948","https://openalex.org/W2292254049","https://openalex.org/W2011626212","https://openalex.org/W2932048622","https://openalex.org/W2894306631","https://openalex.org/W1646588591","https://openalex.org/W4301808265"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}