{"id":"https://openalex.org/W3041313841","doi":"https://doi.org/10.1109/access.2020.3007750","title":"HHA: An Attentive Prediction Model for Academic Abnormality","display_name":"HHA: An Attentive Prediction Model for Academic Abnormality","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3041313841","doi":"https://doi.org/10.1109/access.2020.3007750","mag":"3041313841"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3007750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007750","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09134742.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09134742.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059446748","display_name":"Yawen Zeng","orcid":"https://orcid.org/0000-0001-9983-4598"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Zeng","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9983-4598","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036144876","display_name":"Yong Ouyang","orcid":"https://orcid.org/0000-0003-4292-8539"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ouyang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4292-8539","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052869008","display_name":"Rong Gao","orcid":"https://orcid.org/0000-0001-7935-7173"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7935-7173","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886711","display_name":"Ye Qiu","orcid":"https://orcid.org/0000-0003-2940-436X"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Qiu","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-2940-436X","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696873","display_name":"Yonghong Yu","orcid":"https://orcid.org/0000-0003-2587-8090"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Yu","raw_affiliation_strings":["College of Tongda, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2587-8090","affiliations":[{"raw_affiliation_string":"College of Tongda, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072362529","display_name":"Chunzhi Wang","orcid":"https://orcid.org/0000-0002-6742-3644"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunzhi Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-6742-3644","affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9734,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88561326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"124755","last_page":"124766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9883000254631042,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9571999907493591,"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":0.8016395568847656},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.6552228927612305},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.6336880922317505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6089377403259277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.58390212059021},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4668496251106262},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46181854605674744},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45651766657829285},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4469687342643738},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4114549160003662},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16074159741401672},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10974755883216858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016395568847656},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.6552228927612305},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.6336880922317505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6089377403259277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58390212059021},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4668496251106262},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46181854605674744},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45651766657829285},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4469687342643738},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4114549160003662},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16074159741401672},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10974755883216858},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3007750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007750","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09134742.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d578f789ad9e45e786b5cf9ca29f3e9e","is_oa":true,"landing_page_url":"https://doaj.org/article/d578f789ad9e45e786b5cf9ca29f3e9e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 124755-124766 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3007750","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007750","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09134742.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G1087430107","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u975e\u7ed3\u6784\u5316\u5927\u6570\u636e\u5206\u6790\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5309838661","display_name":null,"funder_award_id":"BSQD2019026","funder_id":"https://openalex.org/F4320321604","funder_display_name":"Hubei University of Technology"},{"id":"https://openalex.org/G5697845368","display_name":null,"funder_award_id":"61772180","funder_id":"https://openalex.org/F4320321604","funder_display_name":"Hubei University of Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321604","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342"},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041313841.pdf","grobid_xml":"https://content.openalex.org/works/W3041313841.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W123693119","https://openalex.org/W650350307","https://openalex.org/W1498505737","https://openalex.org/W1539947443","https://openalex.org/W2021601071","https://openalex.org/W2045871438","https://openalex.org/W2086145942","https://openalex.org/W2122646361","https://openalex.org/W2136398397","https://openalex.org/W2143612262","https://openalex.org/W2160640014","https://openalex.org/W2163605009","https://openalex.org/W2166559705","https://openalex.org/W2288252889","https://openalex.org/W2303127372","https://openalex.org/W2331386885","https://openalex.org/W2404715899","https://openalex.org/W2463958247","https://openalex.org/W2507965868","https://openalex.org/W2549514909","https://openalex.org/W2616881109","https://openalex.org/W2788574423","https://openalex.org/W2789308566","https://openalex.org/W2794402291","https://openalex.org/W2798868970","https://openalex.org/W2798908418","https://openalex.org/W2802835792","https://openalex.org/W2896457183","https://openalex.org/W2902943529","https://openalex.org/W2906170845","https://openalex.org/W2917746835","https://openalex.org/W2919115771","https://openalex.org/W2951527505","https://openalex.org/W2964291233","https://openalex.org/W2981352610","https://openalex.org/W2981384185","https://openalex.org/W2981420411","https://openalex.org/W2997586231","https://openalex.org/W3003341035","https://openalex.org/W3014967775","https://openalex.org/W3023670947","https://openalex.org/W4256669726","https://openalex.org/W4320013936","https://openalex.org/W4385245566","https://openalex.org/W6621483976","https://openalex.org/W6632458873","https://openalex.org/W6682137061","https://openalex.org/W6684191040","https://openalex.org/W6684726440","https://openalex.org/W6713317833","https://openalex.org/W6719046413","https://openalex.org/W6739901393","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3018282762","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312"],"abstract_inverted_index":{"Warning":[0],"students":[1],"with":[2],"poor":[3],"performance":[4],"in":[5,20,119],"advance":[6],"based":[7,94],"on":[8,28,95,159],"historical":[9,35],"academic":[10,14,104],"data,":[11,36],"namely,":[12],"the":[13,56,67,79,103,120,137,153,164],"abnormality":[15,72,105],"prediction":[16,106],"is":[17,51,133,155],"important":[18],"task":[19],"education.":[21],"The":[22,61],"majority":[23],"of":[24,139,168],"existing":[25],"methods":[26],"focus":[27],"digging":[29],"out":[30],"abnormal":[31],"complex":[32,57],"clues":[33],"from":[34],"while":[37],"ignoring":[38],"two":[39],"basic":[40],"considerations:(1)these":[41],"works":[42,54],"fail":[43],"to":[44,101,115,135],"handle":[45],"unrecorded/missing":[46,121],"data":[47,122],"when":[48],"this":[49,85],"part":[50],"sparse;":[52],"(2)these":[53],"ignore":[55],"relationship":[58],"between":[59,82],"courses.":[60,83],"different":[62],"courses":[63],"are":[64],"used":[65],"as":[66],"attention":[68,131],"weight":[69],"vector":[70],"for":[71],"prediction,":[73],"but":[74],"they":[75],"do":[76],"not":[77],"notice":[78],"mutual":[80],"influence":[81],"To":[84],"end,":[86],"we":[87,109,162],"contribute":[88],"a":[89,129,145],"Hybrid":[90],"Neural":[91],"Network":[92],"Model":[93],"High-Order":[96],"Attention":[97],"Mechanism,":[98],"called":[99],"HHA,":[100],"address":[102],"problem.":[107],"Specifically,":[108],"first":[110],"exploit":[111],"Generative":[112],"Adversarial":[113],"Network(GAN)":[114],"mine":[116],"hidden":[117],"factors":[118],"reasonably":[123],"by":[124],"simulating":[125],"student":[126,154],"behavior.":[127],"Thereafter,":[128],"high-order":[130],"mechanism":[132],"proposed":[134,170],"measure":[136],"importance":[138],"course":[140,142],"and":[141,150,166],"combination.":[143],"Lastly,":[144],"multi-layer":[146],"projection":[147],"abstracts":[148],"feature":[149],"classifies":[151],"whether":[152],"abnormal.":[156],"By":[157],"experimenting":[158],"real-world":[160],"dataset,":[161],"demonstrate":[163],"effectiveness":[165],"rationality":[167],"our":[169],"model.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}