{"id":"https://openalex.org/W2810185362","doi":"https://doi.org/10.1145/3230519.3230593","title":"A multi-task learning approach for meal assessment","display_name":"A multi-task learning approach for meal assessment","publication_year":2018,"publication_date":"2018-07-11","ids":{"openalex":"https://openalex.org/W2810185362","doi":"https://doi.org/10.1145/3230519.3230593","mag":"2810185362"},"language":"en","primary_location":{"id":"doi:10.1145/3230519.3230593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230519.3230593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management","raw_type":"proceedings-article"},"type":"preprint","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/A5013579962","display_name":"Ya Lu","orcid":"https://orcid.org/0000-0003-0795-4483"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Ya Lu","raw_affiliation_strings":["University of Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019181839","display_name":"Dario Allegra","orcid":"https://orcid.org/0000-0002-4819-5340"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Allegra","raw_affiliation_strings":["University of Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030838991","display_name":"Marios Anthimopoulos","orcid":"https://orcid.org/0000-0003-3549-1922"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Marios Anthimopoulos","raw_affiliation_strings":["University of Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014656063","display_name":"Filippo Stanco","orcid":"https://orcid.org/0000-0003-3865-9911"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Stanco","raw_affiliation_strings":["University of Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087180022","display_name":"Giovanni Maria Farinella","orcid":"https://orcid.org/0000-0002-6034-0432"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Maria Farinella","raw_affiliation_strings":["University of Catania, Italy"],"affiliations":[{"raw_affiliation_string":"University of Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033248976","display_name":"Stavroula Mougiakakou","orcid":"https://orcid.org/0000-0002-6355-9982"},"institutions":[{"id":"https://openalex.org/I2801112126","display_name":"University Hospital of Bern","ror":"https://ror.org/01q9sj412","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2801112126"]},{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stavroula Mougiakakou","raw_affiliation_strings":["University of Bern and Bern University Hospital, Bern, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Bern and Bern University Hospital, Bern, Switzerland","institution_ids":["https://openalex.org/I2801112126","https://openalex.org/I118564535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5013579962"],"corresponding_institution_ids":["https://openalex.org/I118564535"],"apc_list":null,"apc_paid":null,"fwci":3.0078,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91458457,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9672999978065491,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7411587834358215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335450649261475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6516631841659546},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5994825959205627},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5708442330360413},{"id":"https://openalex.org/keywords/meal","display_name":"Meal","score":0.5554895997047424},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5507652163505554},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5074238181114197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49826550483703613},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.473202645778656},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4644795358181},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.459457665681839},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44351357221603394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3396284580230713},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07962667942047119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07330065965652466}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7411587834358215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335450649261475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6516631841659546},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5994825959205627},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5708442330360413},{"id":"https://openalex.org/C2778345441","wikidata":"https://www.wikidata.org/wiki/Q6460735","display_name":"Meal","level":2,"score":0.5554895997047424},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5507652163505554},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5074238181114197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49826550483703613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.473202645778656},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4644795358181},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.459457665681839},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44351357221603394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3396284580230713},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07962667942047119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07330065965652466},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3230519.3230593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3230519.3230593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management","raw_type":"proceedings-article"},{"id":"pmh:oai:boris.unibe.ch:118557","is_oa":false,"landing_page_url":"https://boris.unibe.ch/118557/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401086","display_name":"Bern Open Repository and Information System (University of Bern)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118564535","host_organization_name":"University of Bern","host_organization_lineage":["https://openalex.org/I118564535"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lu, Ya; Allegra, Dario; Anthimopoulos, Marios; Stanco, Filippo; Farinella, Giovanni Maria; Mougiakakou, Stavroula Georgia (15 July 2018). A Multi-Task Learning Approach for Meal Assessment (In Press). In: 4th International Workshop on Multimedia Assisted Dietary Management.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W12634471","https://openalex.org/W639708223","https://openalex.org/W1030521295","https://openalex.org/W1861492603","https://openalex.org/W1963726930","https://openalex.org/W1964856489","https://openalex.org/W2017570983","https://openalex.org/W2052501780","https://openalex.org/W2083542343","https://openalex.org/W2092049136","https://openalex.org/W2096761622","https://openalex.org/W2102605133","https://openalex.org/W2107722796","https://openalex.org/W2125416623","https://openalex.org/W2151095208","https://openalex.org/W2158520883","https://openalex.org/W2205191193","https://openalex.org/W2293499654","https://openalex.org/W2466671568","https://openalex.org/W2531177272","https://openalex.org/W2543791385","https://openalex.org/W2557344085","https://openalex.org/W2561074213","https://openalex.org/W2561675875","https://openalex.org/W2563053307","https://openalex.org/W2565639579","https://openalex.org/W2609883120","https://openalex.org/W2770633921","https://openalex.org/W2777152574","https://openalex.org/W2913340405","https://openalex.org/W2949650786","https://openalex.org/W2951234442","https://openalex.org/W2953116809","https://openalex.org/W2963150697","https://openalex.org/W2963217233","https://openalex.org/W2963881378","https://openalex.org/W3023742835","https://openalex.org/W3099451302"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Key":[0],"role":[1],"in":[2,48,117],"the":[3,10,43,49,55,62,111],"prevention":[4],"of":[5,51,57,124],"diet-related":[6],"chronic":[7],"diseases":[8],"plays":[9],"balanced":[11],"nutrition":[12],"together":[13],"with":[14,106,120],"a":[15,80,89,104,121],"proper":[16],"diet.":[17],"The":[18,46,97],"conventional":[19],"dietary":[20,38],"assessment":[21],"methods":[22,32,108],"are":[23],"time-consuming,":[24],"expensive":[25],"and":[26,36,72],"prone":[27],"to":[28,60,88],"errors.":[29],"New":[30],"technology-based":[31],"that":[33,110],"provide":[34],"reliable":[35],"convenient":[37],"assessment,":[39],"have":[40],"emerged":[41],"during":[42],"last":[44],"decade.":[45],"advances":[47],"field":[50],"computer":[52],"vision":[53],"permitted":[54],"use":[56,81],"meal":[58,84],"image":[59,85],"assess":[61],"nutrient":[63],"content":[64],"usually":[65],"through":[66],"three":[67],"steps:":[68],"food":[69],"segmentation,":[70],"recognition":[71],"volume":[73],"estimation.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"one":[82],"RGB":[83],"as":[86],"input":[87],"multi-task":[90],"learning":[91],"based":[92],"Convolutional":[93],"Neural":[94],"Network":[95],"(CNN).":[96],"proposed":[98,112],"approach":[99,113],"achieved":[100],"outstanding":[101],"performance,":[102],"while":[103],"comparison":[105],"state-of-the-art":[107],"indicated":[109],"exhibits":[114],"clear":[115],"advantage":[116],"accuracy,":[118],"along":[119],"massive":[122],"reduction":[123],"processing":[125],"time.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
