Paula Reyero Lobo

Marie Curie Early Stage Researcher

PhD. Student and Early Stage Researcher under the Marie Sklodowska-Curie Innovative Training Networks (ITN) programme.

As a member of the Social Data Science group, my research is a contribution to the EU project "NoBIAS- Artificial Intelligence without Bias".

This initiative targets algorithmic bias in AI. In particular, with a focus on the development of novel techniques leveraging semantic knowledge to better understand and deal with bias in data.


Publications

Reyero Lobo, Paula, Daga, Enrico, Alani, Harith and Fernandez, Miriam(2022). Semantic Web technologies and bias in artificial intelligence: A systematic literature review. Semantic Web (Early access).

Reyero Lobo, Paula, (2022). Bias in Hate Speech and Toxicity Detection. In: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, ACM.

Reyero Lobo, Paula and Perez, Pablo(2022). Heart Rate Variability for Non-Intrusive Cybersickness Detection. In: ACM International Conference on Interactive Media Experiences, ACM.

Reyero Lobo, Paula, Mensio, Martino, Pavon Perez, Angel , Bayer, Vaclav, Kwarteng, Joseph, Fernandez, Miriam, Daga, Enrico and Alani, Harith(2022). Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish. In: Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media.

Reyero Lobo, Paula, Daga, Enrico and Alani, Harith(2022). Supporting Online Toxicity Detection with Knowledge Graphs. In: Sixteenth International AAAI Conference on Web and Social Media, 6-9 Jun 2022, Atlanta, Georgia.