Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection. - Davide Carneiro; Miguel Guimarães; Miguel Sousa (HIS, 2020)

Explainable Intelligent Environments. - Davide Carneiro; Fábio Silva; Miguel Guimarães; Daniel Sousa; Paulo Novais (ISAmI, 2020)

A Conversational Interface for interacting with Machine Learning models. - Davide Carneiro; Patrícia Veloso; Miguel Guimarães; Joana Baptista; Miguel Sousa (XAILA@ICAIL, 2021)

Optimizing Model Training in Interactive Learning Scenarios. - Davide Carneiro; Miguel Guimarães; Mariana Carvalho; Paulo Novais (WorldCIST (1), 2021)

A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal. - José Rui Figueira; Henrique M. Oliveira; Ana Paula Serro; Rogério Colaço; Filipe Froes; Carlos Robalo Cordeiro; António Diniz; Miguel Guimarães (CoRR, 2021)

Explainable Decision Tree on Smart Human Mobility. - Luís Rosa 002; Miguel Guimarães; Davide Carneiro; Fábio Silva; César Analide (Intelligent Environments (Workshops), 2022)

Real-Time Algorithm Recommendation Using Meta-Learning. - Guilherme Palumbo; Miguel Guimarães; Davide Carneiro; Paulo Novais; Victor Alves (ISAmI, 2022)

Continuously Learning from User Feedback. - Davide Carneiro; Miguel Sousa; Guilherme Palumbo; Miguel Guimarães; Mariana Carvalho; Paulo Novais (WorldCIST (1), 2022)

A predictive and user-centric approach to Machine Learning in data streaming scenarios. - Davide Carneiro; Miguel Guimarães; Fábio Silva; Paulo Novais (Neurocomputing, 2022)

The Impact of Data Selection Strategies on Distributed Model Performance. - Miguel Guimarães; Filipe Oliveira; Davide Carneiro; Paulo Novais (ISAmI, 2023)

Using meta-learning to predict performance metrics in machine learning problems. - Davide Carneiro; Miguel Guimarães; Mariana Carvalho; Paulo Novais (Expert Syst. J. Knowl. Eng., 2023)

Algorithm Recommendation and Performance Prediction Using Meta-Learning. - Guilherme Palumbo; Davide Carneiro; Miguel Guimarães; Victor Alves; Paulo Novais (Int. J. Neural Syst., 2023)

A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal. - José Rui Figueira; Henrique M. Oliveira; Ana Paula Serro; Rogério Colaço; Filipe Froes; Carlos Robalo Cordeiro; António Diniz; Miguel Guimarães (Eur. J. Oper. Res., 2023)

Block size, parallelism and predictive performance: finding the sweet spot in distributed learning. - Filipe Oliveira; Davide Carneiro; Miguel Guimarães; Óscar Oliveira; Paulo Novais (Int. J. Parallel Emergent Distributed Syst., 2024)

A Human-Centric Architecture for Natural Interaction with Organizational Systems. - Miguel Guimarães; Davide Carneiro; Lucas Soares; Miguel Ribeiro; Gilberto Loureiro (FICC (1), 2025)