Ana Valdivia

According to our database, Ana Valdivia authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Characterizing and modeling harms from interactions with design patterns in AI interfaces.

Lujain Ibrahim, Luc Rocher, Ana Valdivia

CoRR, 2024

The Supply Chain Capitalism of AI: A Call to (Re)think Algorithmic Harms and Resistance (Extended Abstract).

Ana Valdivia

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

There is an elephant in the room: towards a critique on the use of fairness in biometrics.

Ana Valdivia, Júlia Corbera-Serrajòrdia, Aneta Swianiewicz

AI Ethics, November, 2023

Datafication Genealogies beyond Algorithmic Fairness: Making Up Racialised Subjects.

Ana Valdivia, Martina Tazzioli

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Neither opaque nor transparent: A transdisciplinary methodology to investigate datafication at the EU borders.

Ana Valdivia, Claudia Aradau, Tobias Blanke, Sarah Perret

Big Data Soc., July, 2022

Judging the algorithm: A case study on the risk assessment tool for gender-based violence implemented in the Basque country.

Ana Valdivia, Cari Hyde-Vaamonde, Julián García-Marcos

CoRR, 2022

2021

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness.

Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas

Int. J. Intell. Syst., 2021

2020

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.

Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera

J. Ambient Intell. Humaniz. Comput., 2020

How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees.

Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas

CoRR, 2020

2019

Measuring and Exploiting the Impact of Exhibition Scheduling on Museum Attendance.

Víctor Martínez-de-Albéniz, Ana Valdivia

Manuf. Serv. Oper. Manag., 2019

Deep recurrent neural network for geographical entities disambiguation on social media data.

Cristina Zuheros, Siham Tabik, Ana Valdivia, Eugenio Martínez-Cámara, Francisco Herrera

Knowl. Based Syst., 2019

E²SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation.

Miguel López, Ana Valdivia, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera

Inf. Sci., 2019

Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods.

Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera

Neurocomputing, 2019

2018

Consensus vote models for detecting and filtering neutrality in sentiment analysis.

Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera

Inf. Fusion, 2018

2017

Sentiment Analysis in TripAdvisor.

Ana Valdivia, María Victoria Luzón, Francisco Herrera

IEEE Intell. Syst., 2017

Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?

Ana Valdivia, María Victoria Luzón, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Neutrality in the sentiment analysis problem based on fuzzy majority.

Ana Valdivia, María Victoria Luzón, Francisco Herrera

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017