Miguel Guimarães

According to our database, Miguel Guimarães authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., September, 2023

Algorithm Recommendation and Performance Prediction Using Meta-Learning.

Guilherme Palumbo, Davide Carneiro, Miguel Guimarães, Victor Alves, Paulo Novais

Int. J. Neural Syst., March, 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

2022

A predictive and user-centric approach to Machine Learning in data streaming scenarios.

Davide Carneiro, Miguel Guimarães, Fábio Silva, Paulo Novais

Neurocomputing, 2022

Continuously Learning from User Feedback.

Davide Carneiro, Miguel Sousa, Guilherme Palumbo, Miguel Guimarães, Mariana Carvalho, Paulo Novais

Proceedings of the Information Systems and Technologies, 2022

Real-Time Algorithm Recommendation Using Meta-Learning.

Guilherme Palumbo, Miguel Guimarães, Davide Carneiro, Paulo Novais, Victor Alves

Proceedings of the Ambient Intelligence - Software and Applications, 2022

Explainable Decision Tree on Smart Human Mobility.

Luís Rosa, Miguel Guimarães, Davide Carneiro, Fábio Silva, César Analide

Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

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

Optimizing Model Training in Interactive Learning Scenarios.

Davide Carneiro, Miguel Guimarães, Mariana Carvalho, Paulo Novais

Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

A Conversational Interface for interacting with Machine Learning models.

Davide Carneiro, Patrícia Veloso, Miguel Guimarães, Joana Baptista, Miguel Sousa

Proceedings of 4th International Workshop on eXplainable and Responsible AI and Law co-located with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021), 2021

2020

Explainable Intelligent Environments.

Davide Carneiro, Fábio Silva, Miguel Guimarães, Daniel Sousa, Paulo Novais

Proceedings of the Ambient Intelligence - Software and Applications, 2020

Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection.

Davide Carneiro, Miguel Guimarães, Miguel Sousa

Proceedings of the Hybrid Intelligent Systems, 2020