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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Priscylla Maria da Silva Sousa is a teacher at the Federal Institute of Alagoas (IFAL), Brazil. She obtained her BSc degree in computer science from the Federal University of Alagoas (UFAL), Brazil. Later, she received her Master degree in Computer Science from the Federal University of Campina Grande (UFCG), Brazil. Her research interests include User Modelling, Recommender Systems, Machine Learning, Intelligent Tutoring Systems, Robotics, Internet of Things, and Internet Governance. As a teacher at the Federal Institute of Alagoas, she teaches courses, such as Software Quality Management and Computer Networks. She participated at Internet Governance Forum (IGF 2015) as an Internet Society (ISOC) Fellow. After that, she attended the IETF 95 Meeting as an ISOC Fellow. In the last years, she has worked with projects involving recommender systems in the educational domain. She participated in the development of three intelligent tutoring systems in the fields of Mathematics, Propositional Logic, and Computer Programming. (Source: Lattes Curriculum)
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Urban crime is a huge problem that affects the safety and security of society, especially in big cities. So, it is crucial the creation of mechanisms that help public agents to prevent crimes occurrences and understand which factors influence crime activities. In this context, machine learning methods have been applied to crime forecasting. However, the existing studies do not explore the…
Responsible AI is a hot topic nowadays. One of the issues related to this topic is the need to understand predictions made by predictive models. In particular, models used in the health and criminal field need to be reliable and trustworthy. In other words, the model's accuracy is not the only important thing, understanding the model's behavior against input data is also essential. In ord…
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