| 000 | 03504nam a22004095i 4500 | ||
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| 001 | 394006 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123046.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220916s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031162107 | ||
| 024 | 7 |
_a10.1007/978-3-031-16210-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aAdvances in Computational Collective Intelligence _b14th International Conference, ICCCI 2022, Hammamet, Tunisia, September 28-30, 2022, Proceedings _cedited by Costin Bădică, Jan Treur, Djamal Benslimane, Bogumiła Hnatkowska, Marek Krótkiewicz |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXVI, 729 páginas) _b318 ilustraciones, 232 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0937 _v1653 |
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| 505 | 0 | _aCollective Intelligence and Collective Decision-Making -- Natural Language Processing -- Deep Learning -- Computational Intelligence for Multimedia Understanding -- Computational Intelligence in Medical Applications -- Applications for Industry 4.0 -- Experience Enhanced Intelligence to IoT and Sensors -- Cooperative Strategies for Decision Making and Optimization -- Machine Learning Methods. | |
| 520 | _aThis book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods. | ||
| 700 | 1 |
_aBădică, Costin _eeditor literario _0(orcid)0000-0001-8480-9867 _1https://orcid.org/0000-0001-8480-9867 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aTreur, Jan _eeditor literario _0(orcid)0000-0003-2466-9158 _1https://orcid.org/0000-0003-2466-9158 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBenslimane, Djamal _eeditor literario _0(orcid)0000-0001-5700-8060 _1https://orcid.org/0000-0001-5700-8060 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aHnatkowska, Bogumiła _eeditor literario _0(orcid)0000-0003-1706-0205 _1https://orcid.org/0000-0003-1706-0205 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aKrótkiewicz, Marek _eeditor literario _0(orcid)0000-0002-3512-739X _1https://orcid.org/0000-0002-3512-739X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783031162091 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031162114 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-16210-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Computer_2022 | ||
| 999 |
_c394006 _d394006 |
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