Uma arquitetura de pré-processamento para análise de sentimento em mídias sociais em português brasileiro

Autor: CIRQUEIRA, Douglas da Rocha

Publikováno v: Repositório Institucional da UFPAUniversidade Federal do ParáUFPA.

Submitted by Luciclea Silva (luci@ufpa.br) on 2018-10-31T16:22:50Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertacao_Arquiteturapreprocessamentoanalise.pdf: 2201314 bytes, checksum: b0a349ed6a153c

Externí odkaz: http://repositorio.ufpa.br/jspui/handle/2011/10338

SocialDTN: A DTN implementation for Digital and Social Inclusion

Autor: Moreira, Waldir, Ferreira, Ronedo, Cirqueira, Douglas, Mendes, Paulo, Cerqueira, Eduardo

Despite of the importance of access to computers and to the Internet for the development of people and their inclusion in society, there are people that still suffer with digital divide and social exclusion. Delay/Disruption-Tolerant Networking (DTN)

Externí odkaz: http://arxiv.org/abs/1407.8355

Scenario-Based Requirements Elicitation for User-Centric Explainable AI

Autor: Cirqueira, Douglas, Nedbal, Dietmar, Helfert, Markus, Bezbradica, Marija

Publikováno v: Lecture Notes in Computer Science
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE)
4th International Cross-Domain Conference for Machine Learning and Knowledge Extraction (CD-MAKE), Aug 2020, Dublin, Ireland. pp.321-341, ⟨10.1007/978-3-030-57321-8_18⟩
Cirqueira, Douglas ORCID: 0000-0002-1283-0453 , Nedbal, Dietmar ORCID: 0000-0002-7596-0917 , Helfert, Markus ORCID: 0000-0001-6546-6408 and Bezbradica, Marija ORCID: 0000-0001-9366-5113 (2020) Scenario-based requirements elicitation for user-centric explainable AI. In: International Cross-Domain Conference for Machine Learning and Knowledge ExtractionCD-MAKE 2020: Machine Learning and Knowledge Extraction, 25–28 Aug 2020, Dublin, Ireland (Online).
Lecture Notes in Computer Science-Machine Learning and Knowledge Extraction

International audience; Explainable Artificial Intelligence (XAI) develops technical explanation methods and enable interpretability for human stakeholders on why Artificial Intelligence (AI) and machine learning (ML) models provide certain predictio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8d9e50f3e02cc6b9e65b2a3daf625d8e
https://hal.inria.fr/hal-03414721/file/497121_1_En_18_Chapter.pdf

Enhancing brick-and-mortar store shopping experience with an augmented reality shopping assistant application using personalized recommendations and explainable artificial intelligence

Autor: Zimmermann, Robert, Mora, Daniel, Cirqueira, Douglas, Helfert, Markus, Bezbradica, Marija, Werth, Dirk, Weitzl, Wolfgang Jonas, Riedl, René, Auinger, Andreas

Publikováno v: Journal of Research in Interactive Marketing; March 2022, Vol. 17 Issue: 2 p273-298, 26p

Performance Evaluation of Sentiment Analysis Methods for Brazilian Portuguese.

Autor: Cirqueira, Douglas, Jacob Jr., Antonio, Lobato, Fábio, de Santana, Adamo Lima, Pinheiro, Márcia

Publikováno v: Business Information Systems Workshops: BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers; 2017, p245-251, 7p