{"id":"https://openalex.org/W4416251884","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228356","title":"Haphazard Inputs as Images in Online Learning","display_name":"Haphazard Inputs as Images in Online Learning","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251884","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228356"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5019304736","display_name":"Rohit Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Rohit Agarwal","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120286592","display_name":"Aryan Dessai","orcid":null},"institutions":[{"id":"https://openalex.org/I189109744","display_name":"Indian Institute of Technology Dhanbad","ror":"https://ror.org/013v3cc28","country_code":"IN","type":"education","lineage":["https://openalex.org/I189109744"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aryan Dessai","raw_affiliation_strings":["IIT (ISM) Dhanbad,Department of Mathematics and Computing,Dhanbad,India"],"affiliations":[{"raw_affiliation_string":"IIT (ISM) Dhanbad,Department of Mathematics and Computing,Dhanbad,India","institution_ids":["https://openalex.org/I189109744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064398431","display_name":"Arif Ahmed Sekh","orcid":"https://orcid.org/0000-0003-0706-2565"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Arif Ahmed Sekh","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051102056","display_name":"Krishna Agarwal","orcid":"https://orcid.org/0000-0001-6968-578X"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Krishna Agarwal","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Physics and Technology,Tromso,Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Physics and Technology,Tromso,Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041937020","display_name":"Alexander Horsch","orcid":"https://orcid.org/0000-0001-7745-0139"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Alexander Horsch","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064348917","display_name":"Dilip K. Prasad","orcid":"https://orcid.org/0000-0002-3693-6973"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Dilip K. Prasad","raw_affiliation_strings":["UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway"],"affiliations":[{"raw_affiliation_string":"UiT The Arctic University of Norway,Department of Computer Science,Tromso,Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019304736"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19495644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4690999984741211,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.4690999984741211,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.13500000536441803,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.04520000144839287,"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/representation","display_name":"Representation (politics)","score":0.6711999773979187},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6148999929428101},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6119999885559082},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5925999879837036},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5810999870300293},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5568000078201294},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4643000066280365},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4641999900341034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6794000267982483},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6711999773979187},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6119999885559082},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5925999879837036},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5810999870300293},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5568000078201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5457000136375427},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4586000144481659},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30230000615119934},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.28600001335144043},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":36,"referenced_works":["https://openalex.org/W1553806514","https://openalex.org/W1966716734","https://openalex.org/W2045938006","https://openalex.org/W2046518304","https://openalex.org/W2068714596","https://openalex.org/W2082244270","https://openalex.org/W2101807845","https://openalex.org/W2105867876","https://openalex.org/W2124619447","https://openalex.org/W2125621954","https://openalex.org/W2142772712","https://openalex.org/W2194775991","https://openalex.org/W2346780474","https://openalex.org/W2490420619","https://openalex.org/W2768540371","https://openalex.org/W2797805271","https://openalex.org/W2898017895","https://openalex.org/W2963311299","https://openalex.org/W2965525213","https://openalex.org/W2965718579","https://openalex.org/W2991238695","https://openalex.org/W2999200667","https://openalex.org/W3007271490","https://openalex.org/W3081377254","https://openalex.org/W3154726827","https://openalex.org/W3165390445","https://openalex.org/W3205456555","https://openalex.org/W4206978795","https://openalex.org/W4296953641","https://openalex.org/W4312233641","https://openalex.org/W4382239903","https://openalex.org/W4385764580","https://openalex.org/W4387343667","https://openalex.org/W4392979650","https://openalex.org/W4399323524","https://openalex.org/W4401906634"],"related_works":[],"abstract_inverted_index":{"The":[0,95,123],"field":[1],"of":[2,47,115],"varying":[3,56],"feature":[4,57],"space":[5,58],"in":[6,23,59],"online":[7,61],"learning":[8,62],"settings,":[9],"also":[10],"known":[11],"as":[12,89],"haphazard":[13,31,87],"inputs,":[14,88],"is":[15,77,125],"very":[16],"prominent":[17],"nowadays":[18],"due":[19],"to":[20,30,53,64,83],"its":[21],"applicability":[22],"various":[24],"fields.":[25],"However,":[26],"the":[27,39,55,70,99,113],"current":[28],"solutions":[29],"inputs":[32,46],"are":[33],"model-dependent":[34],"and":[35,93,109],"cannot":[36],"benefit":[37],"from":[38],"existing":[40],"advanced":[41],"deep-learning":[42],"methods,":[43],"which":[44],"necessitate":[45],"fixed":[48],"dimensions.":[49],"Therefore,":[50],"we":[51],"propose":[52],"transform":[54],"an":[60],"setting":[63],"a":[65],"fixed-dimension":[66],"image":[67,96],"representation":[68,97],"on":[69,118],"fly.":[71],"This":[72],"simple":[73],"yet":[74],"novel":[75],"approach":[76,107],"model-agnostic,":[78],"allowing":[79],"any":[80],"vision-based":[81],"models":[82],"be":[84],"applicable":[85],"for":[86],"demonstrated":[90],"using":[91],"ResNet":[92],"ViT.":[94],"handles":[98],"inconsistent":[100],"input":[101],"data":[102],"seamlessly,":[103],"making":[104],"our":[105,116],"proposed":[106],"scalable":[108],"robust.":[110],"We":[111],"show":[112],"efficacy":[114],"method":[117],"four":[119],"publicly":[120],"available":[121,126],"datasets.":[122],"code":[124],"at":[127],"https://github.com/Rohit102497/HaphazardInputsAsImages.":[128]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}
