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Ana Valdivia
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2020 – today
- 2024
- [i4]Lujain Ibrahim, Luc Rocher, Ana Valdivia:
Characterizing and modeling harms from interactions with design patterns in AI interfaces. CoRR abs/2404.11370 (2024) - 2023
- [j10]Ana Valdivia, Júlia Corbera-Serrajòrdia, Aneta Swianiewicz:
There is an elephant in the room: towards a critique on the use of fairness in biometrics. AI Ethics 3(4): 1407-1422 (2023) - [c3]Ana Valdivia, Martina Tazzioli:
Datafication Genealogies beyond Algorithmic Fairness: Making Up Racialised Subjects. FAccT 2023: 840-850 - 2022
- [j9]Ana Valdivia, Claudia Aradau, Tobias Blanke, Sarah Perret:
Neither opaque nor transparent: A transdisciplinary methodology to investigate datafication at the EU borders. Big Data Soc. 9(2): 205395172211245 (2022) - [i3]Ana Valdivia, Cari Hyde-Vaamonde, Julián García-Marcos:
Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country. CoRR abs/2203.03723 (2022) - 2021
- [j8]Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas:
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness. Int. J. Intell. Syst. 36(4): 1619-1643 (2021) - [i2]Ana Valdivia, Júlia Corbera-Serrajòrdia, Aneta Swianiewicz:
There is an elephant in the room: Towards a critique on the use of fairness in biometrics. CoRR abs/2112.11193 (2021) - 2020
- [j7]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [i1]Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas:
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. CoRR abs/2006.12399 (2020)
2010 – 2019
- 2019
- [j6]Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera:
Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing 353: 3-16 (2019) - [j5]Miguel López, Ana Valdivia, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation. Inf. Sci. 480: 273-286 (2019) - [j4]Cristina Zuheros, Siham Tabik, Ana Valdivia, Eugenio Martínez-Cámara, Francisco Herrera:
Deep recurrent neural network for geographical entities disambiguation on social media data. Knowl. Based Syst. 173: 117-127 (2019) - [j3]Víctor Martínez-de-Albéniz, Ana Valdivia:
Measuring and Exploiting the Impact of Exhibition Scheduling on Museum Attendance. Manuf. Serv. Oper. Manag. 21(4): 761-779 (2019) - 2018
- [j2]Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera:
Consensus vote models for detecting and filtering neutrality in sentiment analysis. Inf. Fusion 44: 126-135 (2018) - 2017
- [j1]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis in TripAdvisor. IEEE Intell. Syst. 32(4): 72-77 (2017) - [c2]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Neutrality in the sentiment analysis problem based on fuzzy majority. FUZZ-IEEE 2017: 1-6 - [c1]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? HAIS 2017: 15-25
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last updated on 2024-08-05 21:14 CEST by the dblp team
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