Neutrality in the sentiment analysis problem based on fuzzy majority. - Ana Valdivia; María Victoria Luzón; Francisco Herrera (FUZZ-IEEE, 2017)

Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? - Ana Valdivia; María Victoria Luzón; Francisco Herrera (HAIS, 2017)

Sentiment Analysis in TripAdvisor. - Ana Valdivia; María Victoria Luzón; Francisco Herrera (IEEE Intell. Syst., 2017)

Consensus vote models for detecting and filtering neutrality in sentiment analysis. - Ana Valdivia; María Victoria Luzón; Erik Cambria; Francisco Herrera (Inf. Fusion, 2018)

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)

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)

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)

Measuring and Exploiting the Impact of Exhibition Scheduling on Museum Attendance. - Víctor Martínez-de-Albéniz; Ana Valdivia (Manuf. Serv. Oper. Manag., 2019)

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)

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 accuracy and fairness. - Ana Valdivia; Javier Sánchez-Monedero; Jorge Casillas (Int. J. Intell. Syst., 2021)

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)

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., 2022)

Datafication Genealogies beyond Algorithmic Fairness: Making Up Racialised Subjects. - Ana Valdivia; Martina Tazzioli (FAccT, 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, 2023)

The Supply Chain Capitalism of AI: A Call to (Re)think Algorithmic Harms and Resistance (Extended Abstract). - Ana Valdivia (AIES (1), 2024)

Characterizing and modeling harms from interactions with design patterns in AI interfaces. - Lujain Ibrahim; Luc Rocher; Ana Valdivia (CoRR, 2024)

Gender Trouble in Language Models: An Empirical Audit Guided by Gender Performativity Theory. - Franziska Sofia Hafner; Ana Valdivia; Luc Rocher (FAccT, 2025)

Data Ecofeminism. - Ana Valdivia (FAccT, 2025)

Judging the algorithm. - Ana Valdivia; Cari Hyde-Vaamonde; Julián García-Marcos (AI Soc., 2025)