{"id":"https://openalex.org/W4214902299","doi":"https://doi.org/10.1109/ccwc54503.2022.9720882","title":"Interpretable Learning Model for Lower Dimensional Feature Space: A Case study with Brown Spot Detection in Rice Leaf","display_name":"Interpretable Learning Model for Lower Dimensional Feature Space: A Case study with Brown Spot Detection in Rice Leaf","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W4214902299","doi":"https://doi.org/10.1109/ccwc54503.2022.9720882"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc54503.2022.9720882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720882","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5059340938","display_name":"Md Amit Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Md Amit Khan","raw_affiliation_strings":["Silicon Orchard Ltd,Dhaka,Bangladesh","Silicon Orchard Ltd, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Silicon Orchard Ltd,Dhaka,Bangladesh","institution_ids":[]},{"raw_affiliation_string":"Silicon Orchard Ltd, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087429142","display_name":"Nafiz Sadman","orcid":"https://orcid.org/0000-0001-6784-0029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nafiz Sadman","raw_affiliation_strings":["Silicon Orchard Ltd,Dhaka,Bangladesh","Silicon Orchard Ltd, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Silicon Orchard Ltd,Dhaka,Bangladesh","institution_ids":[]},{"raw_affiliation_string":"Silicon Orchard Ltd, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068262430","display_name":"Kishor Datta Gupta","orcid":"https://orcid.org/0000-0001-6867-2653"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kishor Datta Gupta","raw_affiliation_strings":["University of Memphis,TN,USA","University of Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis,TN,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"University of Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062471065","display_name":"Jesan Ahammed Ovi","orcid":null},"institutions":[{"id":"https://openalex.org/I885507782","display_name":"East West University","ror":"https://ror.org/05p0tzt32","country_code":"BD","type":"education","lineage":["https://openalex.org/I885507782"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Jesan Ahammed Ovi","raw_affiliation_strings":["East West University,Dhaka,Bangladesh","East West University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"East West University,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I885507782"]},{"raw_affiliation_string":"East West University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I885507782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059340938"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6759,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6010296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"0428","last_page":"0434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.949400007724762,"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"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9243999719619751,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/interpretability","display_name":"Interpretability","score":0.9196221828460693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7612288594245911},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6401005983352661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6347878575325012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164378523826599},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5453712940216064},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5279195308685303},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5258270502090454},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5117478370666504},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.489983469247818},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4494655728340149},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.430292546749115},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4212695360183716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3098229765892029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21077772974967957}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9196221828460693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7612288594245911},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6401005983352661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6347878575325012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164378523826599},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5453712940216064},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5279195308685303},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5258270502090454},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5117478370666504},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.489983469247818},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4494655728340149},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.430292546749115},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4212695360183716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3098229765892029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21077772974967957},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc54503.2022.9720882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720882","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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":37,"referenced_works":["https://openalex.org/W1659842140","https://openalex.org/W2017214807","https://openalex.org/W2023057971","https://openalex.org/W2042782243","https://openalex.org/W2043175314","https://openalex.org/W2065429801","https://openalex.org/W2095130919","https://openalex.org/W2103616106","https://openalex.org/W2148596671","https://openalex.org/W2163922914","https://openalex.org/W2167828202","https://openalex.org/W2180093824","https://openalex.org/W2266148941","https://openalex.org/W2282821441","https://openalex.org/W2403813860","https://openalex.org/W2530422462","https://openalex.org/W2591511728","https://openalex.org/W2736026939","https://openalex.org/W2753415590","https://openalex.org/W2789255992","https://openalex.org/W2901137261","https://openalex.org/W2904583950","https://openalex.org/W2911964244","https://openalex.org/W2957468412","https://openalex.org/W3016786410","https://openalex.org/W3019446723","https://openalex.org/W3040507149","https://openalex.org/W3093956116","https://openalex.org/W3101055875","https://openalex.org/W3117722799","https://openalex.org/W3117909809","https://openalex.org/W3118737672","https://openalex.org/W3119605316","https://openalex.org/W3137216940","https://openalex.org/W3138243820","https://openalex.org/W6693578308","https://openalex.org/W6792120712"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Detecting":[0],"brown":[1],"spot":[2],"in":[3,10,80],"rice":[4,20],"leaf":[5],"is":[6,149],"an":[7],"urgent":[8],"complication":[9],"the":[11,19,33,37,91,101,134,137,143,184],"agricultural":[12],"field":[13],"as":[14,44],"Brown":[15],"Spot":[16],"disease":[17],"lessen":[18],"yield":[21],"remarkably.":[22],"Several":[23],"segmentation":[24],"techniques":[25],"have":[26],"been":[27],"applied":[28,51],"to":[29,52,70,160],"identify":[30],"and":[31,39,93,98,169],"extract":[32,161],"infected":[34],"portion":[35],"of":[36,60,86,95,100,119,122,131,136,187],"rice-leaf":[38,167],"machine":[40,138],"learning":[41,106,139],"algorithms":[42,66],"such":[43],"decision":[45,102],"trees,":[46],"support":[47],"vector":[48],"machines":[49],"are":[50,124],"detect":[53],"this":[54,72,75],"infection.":[55],"In":[56],"particular,":[57],"a":[58,110,116,158,162,171],"combination":[59],"Convolution":[61],"Neural":[62],"Networks":[63],"with":[64,145],"these":[65,84,146,154],"has":[67,77],"also":[68],"tried":[69],"resolve":[71,153],"problem.":[73],"Although":[74],"attempt":[76],"achieved":[78],"success":[79],"providing":[81],"accuracy":[82,186],"(96.8%),":[83],"kinds":[85],"approaches":[87],"raise":[88],"issues":[89],"regarding":[90],"size":[92],"interpretability":[94,99],"feature":[96,111,173],"space":[97,112],"model.":[103,140,190],"Indeed,":[104],"Deep":[105],"networks":[107],"automatically":[108],"create":[109],"that":[113,178],"usually":[114],"contains":[115],"massive":[117],"number":[118,130],"features":[120,132,148,165],"(numerous":[121],"them":[123],"not":[125],"necessarily":[126],"appropriate).":[127],"This":[128],"vast":[129],"extends":[133],"non-interpretability":[135],"Furthermore,":[141],"training":[142],"model":[144],"many":[147],"computationally":[150],"expensive.":[151],"To":[152],"issues,":[155],"we":[156],"propose":[157],"method":[159],"few":[163],"interpretable":[164],"from":[166],"images":[168],"construct":[170],"low-dimensional":[172],"space;":[174],"however,":[175],"interpretation":[176],"shows":[177],"they":[179],"deserve":[180],"significant":[181],"credit":[182],"for":[183],"decent":[185],"our":[188],"classification":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}