{"id":"https://openalex.org/W2757714531","doi":"https://doi.org/10.1145/3240925.3240937","title":"Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data","display_name":"Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data","publication_year":2018,"publication_date":"2018-05-21","ids":{"openalex":"https://openalex.org/W2757714531","doi":"https://doi.org/10.1145/3240925.3240937","mag":"2757714531"},"language":"en","primary_location":{"id":"doi:10.1145/3240925.3240937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240925.3240937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1709.08073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Petar Veli\u010dkovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]},{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Petar Veli\u010dkovi\u0107","raw_affiliation_strings":["University of Cambridge and Nokia Bell Labs, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge and Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Laurynas Karazija","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laurynas Karazija","raw_affiliation_strings":["University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nicholas D. Lane","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]},{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicholas D. Lane","raw_affiliation_strings":["University of Oxford and Nokia Bell Labs, Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford and Nokia Bell Labs, Oxford, UK","institution_ids":["https://openalex.org/I40120149","https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sourav Bhattacharya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098141","display_name":"Nokia (United Kingdom)","ror":"https://ror.org/00zpf0626","country_code":"GB","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210098141"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sourav Bhattacharya","raw_affiliation_strings":["Nokia Bell Labs, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"Nokia Bell Labs, Cambridge, UK","institution_ids":["https://openalex.org/I4210098141"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Edgar Liberis","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edgar Liberis","raw_affiliation_strings":["University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pietro Li\u00f2","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pietro Li\u00f2","raw_affiliation_strings":["University of Cambridge, Cambridge, UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Angela Chieh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Angela Chieh","raw_affiliation_strings":["Nokia Digital Health - Withings, Issy-les-Moulineaux, France"],"affiliations":[{"raw_affiliation_string":"Nokia Digital Health - Withings, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I4210149358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Otmane Bellahsen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Otmane Bellahsen","raw_affiliation_strings":["Nokia Digital Health - Withings, Issy-les-Moulineaux, France"],"affiliations":[{"raw_affiliation_string":"Nokia Digital Health - Withings, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I4210149358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Matthieu Vegreville","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149358","display_name":"Nokia (France)","ror":"https://ror.org/04kwfkk85","country_code":"FR","type":"company","lineage":["https://openalex.org/I2738502077","https://openalex.org/I4210149358"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Vegreville","raw_affiliation_strings":["Nokia Digital Health - Withings, Issy-les-Moulineaux, France"],"affiliations":[{"raw_affiliation_string":"Nokia Digital Health - Withings, Issy-les-Moulineaux, France","institution_ids":["https://openalex.org/I4210149358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210098141"],"apc_list":null,"apc_paid":null,"fwci":1.8253,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85857861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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/hyperparameter","display_name":"Hyperparameter","score":0.6248999834060669},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5853000283241272},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5128999948501587},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.40639999508857727},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3682999908924103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3046000003814697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927000284194946},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6248999834060669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190000176429749},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5853000283241272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5444999933242798},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.40639999508857727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2621000111103058}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3240925.3240937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240925.3240937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1709.08073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.08073","pdf_url":"https://arxiv.org/pdf/1709.08073","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1709.08073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.08073","pdf_url":"https://arxiv.org/pdf/1709.08073","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1984206720","https://openalex.org/W1997102766","https://openalex.org/W2023691309","https://openalex.org/W2027101868","https://openalex.org/W2064675550","https://openalex.org/W2109553965","https://openalex.org/W2519166803"],"related_works":[],"abstract_inverted_index":{"We":[0,12,71],"analyse":[1],"multimodal":[2],"time-series":[3],"data":[4],"corresponding":[5],"to":[6,83],"weight,":[7],"sleep":[8],"and":[9,42,59,89],"steps":[10],"measurements.":[11],"focus":[13],"on":[14,86],"predicting":[15],"whether":[16],"a":[17,37,73,90,96],"user":[18],"will":[19],"successfully":[20],"achieve":[21],"his/her":[22],"weight":[23],"objective.":[24],"For":[25],"this,":[26],"we":[27,102],"design":[28],"several":[29],"deep":[30],"long":[31],"short-term":[32],"memory":[33],"(LSTM)":[34],"architectures,":[35],"including":[36],"novel":[38],"cross-modal":[39,93],"LSTM":[40,88],"(X-LSTM),":[41],"demonstrate":[43],"their":[44],"superiority":[45],"over":[46],"baseline":[47],"approaches.":[48],"The":[49],"X-LSTM":[50],"improves":[51],"parameter":[52],"efficiency":[53],"by":[54,66],"processing":[55],"each":[56],"modality":[57],"separately":[58],"allowing":[60],"for":[61,78],"information":[62],"flow":[63],"between":[64],"them":[65],"way":[67],"of":[68,99],"recurrent":[69],"cross-connections.":[70],"present":[72],"general":[74],"hyperparameter":[75],"optimisation":[76],"technique":[77],"X-LSTMs,":[79],"which":[80],"allows":[81],"us":[82],"significantly":[84],"improve":[85],"the":[87,104],"prior":[91],"state-of-the-art":[92],"approach,":[94],"using":[95],"comparable":[97],"number":[98],"parameters.":[100],"Finally,":[101],"visualise":[103],"model's":[105],"predictions,":[106],"revealing":[107],"implications":[108],"about":[109],"latent":[110],"variables":[111],"in":[112],"this":[113],"task.":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2017-10-06T00:00:00"}
