Pedro Pereira Rodrigues

Domains

Artificial Intelligence and Decision Support

Publications

Siamese Autoencoder Architecture for the Imputation of Data Missing Not at Random

Pereira, RC;Abreu, PH;Rodrigues, PP;

2024

JOURNAL OF COMPUTATIONAL SCIENCE

Imputation of data Missing Not at Random: Artificial generation and benchmark analysis

Pereira, RC;Abreu, PH;Rodrigues, PP;Figueiredo, MAT;

2024

EXPERT SYSTEMS WITH APPLICATIONS

Impact of multimorbidity patterns in hospital admissions: the case study of asthma

Portela, D;Rodrigues, PP;Freitas, A;Costa, E;Bousquet, J;Fonseca, JA;Pinto, BS;

2023

JOURNAL OF ASTHMA

Effectiveness of Secondary Risk-Reducing Strategies in Patients With Unilateral Breast Cancer With Pathogenic Variants of BRCA1 and BRCA2 Subjected to Breast-Conserving Surgery: Evidence-Based Simulation Study

Maksimenko, J;Rodrigues, PP;Nakazawa Miklasevica, M;Pinto, D;Miklasevics, E;Trofimovics, G;Gardovskis, J;Cardoso, F;Cardoso, MJ;

2022

JMIR FORMATIVE RESEARCH

View all publications

Supervised theses

Clustering Massive, Noisy, and Unstructured Textual Streams

Cesar Henrique Goersch Andrade

D - 2023

UP-FCUP

Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.