{"id":"https://openalex.org/W4410068064","doi":"https://doi.org/10.1145/3715014.3724030","title":"Poster Abstract: Exploring the Autoencoder Sequence Pooling","display_name":"Poster Abstract: Exploring the Autoencoder Sequence Pooling","publication_year":2025,"publication_date":"2025-05-04","ids":{"openalex":"https://openalex.org/W4410068064","doi":"https://doi.org/10.1145/3715014.3724030"},"language":"en","primary_location":{"id":"doi:10.1145/3715014.3724030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715014.3724030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems","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/A5101934351","display_name":"Petr Ivanov","orcid":"https://orcid.org/0000-0003-0527-8354"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Petr Ivanov","raw_affiliation_strings":["ITMO University, Saint-Petersburg, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0003-0527-8354","affiliations":[{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Federation","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108193616","display_name":"Alexander Kozhevnikov","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Kozhevnikov","raw_affiliation_strings":["ITMO University, Saint-Petersburg, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0008-7840-8651","affiliations":[{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Federation","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109497263","display_name":"Maria Shtark","orcid":"https://orcid.org/0009-0003-4856-4454"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Maria Shtark","raw_affiliation_strings":["ITMO University, Saint-Petersburg, Russian Federation"],"raw_orcid":"https://orcid.org/0009-0003-4856-4454","affiliations":[{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Federation","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074238659","display_name":"Ilya Makarov","orcid":"https://orcid.org/0000-0002-3308-8825"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]},{"id":"https://openalex.org/I4210101868","display_name":"Institute for System Programming","ror":"https://ror.org/017ef8252","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210101868","https://openalex.org/I4210124601"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilya Makarov","raw_affiliation_strings":["AIRI, Moscow, Russian Federation","ISP RAS, Moscow, Russian Federation","ITMO University, Saint-Petersburg, Russian Federation"],"raw_orcid":"https://orcid.org/0000-0002-3308-8825","affiliations":[{"raw_affiliation_string":"AIRI, Moscow, Russian Federation","institution_ids":[]},{"raw_affiliation_string":"ISP RAS, Moscow, Russian Federation","institution_ids":["https://openalex.org/I4210101868"]},{"raw_affiliation_string":"ITMO University, Saint-Petersburg, Russian Federation","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03842552,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"606","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9972000122070312,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9959999918937683,"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/autoencoder","display_name":"Autoencoder","score":0.922644317150116},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8867881894111633},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.7525743246078491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281006932258606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5035306811332703},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.11363682150840759},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.0679553747177124},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06588909029960632}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.922644317150116},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8867881894111633},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7525743246078491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281006932258606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5035306811332703},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.11363682150840759},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0679553747177124},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06588909029960632}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715014.3724030","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715014.3724030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3006716945","https://openalex.org/W3103989898"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2953234277","https://openalex.org/W4220775285"],"abstract_inverted_index":{"Sequence":[0],"embeddings":[1],"are":[2],"essential":[3],"for":[4],"tasks":[5],"like":[6],"time":[7,67],"series":[8,68],"analysis":[9],"and":[10,59,84],"natural":[11],"language":[12],"processing,":[13],"yet":[14],"pooling":[15,25,50,78],"techniques":[16],"to":[17,29,56],"create":[18],"compact":[19],"sequence":[20,49],"representations":[21],"remain":[22],"underexplored.":[23],"Poor":[24],"methods":[26],"can":[27],"lead":[28],"significant":[30],"information":[31,58],"loss,":[32],"diminishing":[33],"the":[34],"effectiveness":[35],"of":[36],"strong":[37],"feature":[38],"extractors.":[39],"In":[40],"this":[41],"early":[42],"results":[43],"paper,":[44],"we":[45],"propose":[46],"an":[47],"autoencoder-based":[48],"approach":[51],"that":[52],"leverages":[53],"autoencoders'":[54],"ability":[55],"compress":[57],"supports":[60],"pretraining":[61],"during":[62],"self-supervised":[63],"learning.":[64],"Evaluated":[65],"on":[66],"data":[69],"with":[70],"a":[71],"transformer-based":[72],"encoder,":[73],"our":[74],"method":[75],"outperforms":[76],"traditional":[77],"techniques,":[79],"such":[80],"as":[81],"mathematical":[82],"functions":[83],"learnable":[85],"weighted":[86],"sums.":[87]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}