{"id":"https://openalex.org/W2947365893","doi":"https://doi.org/10.1145/3314111.3319826","title":"Ferns for area of interest free scanpath classification","display_name":"Ferns for area of interest free scanpath classification","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947365893","doi":"https://doi.org/10.1145/3314111.3319826","mag":"2947365893"},"language":"en","primary_location":{"id":"doi:10.1145/3314111.3319826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314111.3319826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research &amp; Applications","raw_type":"proceedings-article"},"type":"article","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/A5015458683","display_name":"Wolfgang Fuhl","orcid":"https://orcid.org/0000-0001-7128-298X"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wolfgang Fuhl","raw_affiliation_strings":["University T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025165645","display_name":"Nora Castner","orcid":"https://orcid.org/0000-0002-6771-7693"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nora Castner","raw_affiliation_strings":["University T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072606099","display_name":"Thomas K\u00fcbler","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas K\u00fcbler","raw_affiliation_strings":["University T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062953891","display_name":"Alexander Lotz","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Lotz","raw_affiliation_strings":["Daimler AG, Stuttgart"],"affiliations":[{"raw_affiliation_string":"Daimler AG, Stuttgart","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087076980","display_name":"Wolfgang Rosenstiel","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Rosenstiel","raw_affiliation_strings":["University T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008809634","display_name":"Enkelejda Kasneci","orcid":"https://orcid.org/0000-0003-3146-4484"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Enkelejda Kasneci","raw_affiliation_strings":["University T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015458683"],"corresponding_institution_ids":["https://openalex.org/I8087733"],"apc_list":null,"apc_paid":null,"fwci":2.1257,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.90119,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901000261306763,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9901000261306763,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.968999981880188,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9656999707221985,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.79047030210495},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.694308340549469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6592279672622681},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5226287841796875},{"id":"https://openalex.org/keywords/saccade","display_name":"Saccade","score":0.4759142994880676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4476623833179474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.359684556722641},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.18898436427116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79047030210495},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.694308340549469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6592279672622681},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5226287841796875},{"id":"https://openalex.org/C2779524336","wikidata":"https://www.wikidata.org/wiki/Q369503","display_name":"Saccade","level":3,"score":0.4759142994880676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4476623833179474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.359684556722641},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.18898436427116394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314111.3319826","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314111.3319826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research &amp; Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W250309892","https://openalex.org/W1971616954","https://openalex.org/W1976123549","https://openalex.org/W2015831141","https://openalex.org/W2020860252","https://openalex.org/W2033362164","https://openalex.org/W2042750428","https://openalex.org/W2044228361","https://openalex.org/W2045896124","https://openalex.org/W2053631137","https://openalex.org/W2055350558","https://openalex.org/W2059256888","https://openalex.org/W2069672698","https://openalex.org/W2074262960","https://openalex.org/W2077771244","https://openalex.org/W2095400966","https://openalex.org/W2096304920","https://openalex.org/W2097833812","https://openalex.org/W2106151496","https://openalex.org/W2109864487","https://openalex.org/W2134738818","https://openalex.org/W2148596671","https://openalex.org/W2169624851","https://openalex.org/W2345965557","https://openalex.org/W2410960076","https://openalex.org/W2486746142","https://openalex.org/W2497909917","https://openalex.org/W2508267314","https://openalex.org/W2607262101","https://openalex.org/W2767056669","https://openalex.org/W2796991503","https://openalex.org/W2805723548","https://openalex.org/W2807218714","https://openalex.org/W2807566654","https://openalex.org/W2970896198"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2568565727","https://openalex.org/W2892439016","https://openalex.org/W2895785059","https://openalex.org/W2019162453","https://openalex.org/W2114846443","https://openalex.org/W2395023248","https://openalex.org/W1599398530","https://openalex.org/W3102147106","https://openalex.org/W3006655138"],"abstract_inverted_index":{"Scanpath":[0],"classification":[1,85],"can":[2],"offer":[3],"insight":[4],"into":[5],"the":[6,84],"visual":[7],"strategies":[8],"of":[9,33,43],"groups":[10],"such":[11],"as":[12],"experts":[13],"and":[14,82,90],"novices.":[15],"We":[16,73],"propose":[17],"to":[18,28,45,66],"use":[19],"random":[20,54],"ferns":[21,55],"in":[22,53,70],"combination":[23],"with":[24],"saccade":[25],"angle":[26,60],"successions":[27],"compare":[29],"scanpaths.":[30],"One":[31],"advantage":[32],"our":[34,75],"method":[35],"is":[36],"that":[37],"it":[38],"does":[39],"not":[40,64],"require":[41],"areas":[42],"interest":[44],"be":[46,67],"computed":[47],"or":[48],"annotated.":[49],"The":[50],"conditional":[51],"distribution":[52],"additionally":[56],"allows":[57],"for":[58],"learning":[59],"successions,":[61],"which":[62],"do":[63],"have":[65],"entirely":[68],"present":[69],"a":[71],"scanpath.":[72],"evaluated":[74],"approach":[76],"on":[77],"two":[78],"publicly":[79],"available":[80],"datasets":[81],"improved":[83],"accuracy":[86],"by":[87],"\u2248":[88,91],"10":[89],"20":[92],"percent.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
