000 | 03690nam a22005895i 4500 | ||
---|---|---|---|
001 | 978-3-031-44064-9 | ||
003 | DE-He213 | ||
005 | 20240207153738.0 | ||
007 | cr nn 008mamaa | ||
008 | 231029s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031440649 _9978-3-031-44064-9 |
||
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aExplainable Artificial Intelligence _h[electronic resource] : _bFirst World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I / _cedited by Luca Longo. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
|
300 |
_aXXV, 692 p. 198 illus., 158 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1901 |
|
500 | _aAcceso multiusuario | ||
505 | 0 | _aInterdisciplinary perspectives, approaches and strategies for xAI -- Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI -- Explainable AI in Finance, cybersecurity, health-care and biomedicine. | |
520 | _aThis three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are organized in the following topical sections: Part I: Interdisciplinary perspectives, approaches and strategies for xAI; Model-agnostic explanations, methods and techniques for xAI, Causality and Explainable AI; Explainable AI in Finance, cybersecurity, health-care and biomedicine. Part II: Surveys, benchmarks, visual representations and applications for xAI; xAI for decision-making and human-AI collaboration, for Machine Learning on Graphs with Ontologies and Graph Neural Networks; Actionable eXplainable AI, Semantics and explainability, and Explanations for Advice-Giving Systems. Part III: xAI for time series and Natural Language Processing; Human-centered explanations and xAI for Trustworthy and Responsible AI; Explainable and Interpretable AI with Argumentation, Representational Learning and concept extraction for xAI. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aNatural language processing (Computer science). | |
650 | 0 | _aApplication software. | |
650 | 0 | _aComputer networks . | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aNatural Language Processing (NLP). |
650 | 2 | 4 | _aComputer and Information Systems Applications. |
650 | 2 | 4 | _aComputer Communication Networks. |
700 | 1 |
_aLongo, Luca. _eeditor. _0(orcid)0000-0002-2718-5426 _1https://orcid.org/0000-0002-2718-5426 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031440632 |
776 | 0 | 8 |
_iPrinted edition: _z9783031440656 |
830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v1901 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-44064-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cLIBRO_ELEC | ||
999 |
_c263125 _d263124 |