Miguel Guimarães

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Selection Strategies

Ordinal Regression

Top Venues

Expert Syst. J. Knowl. Eng.

Intelligent Environments (Workshops)

Publications

Filipe Oliveira, Davide Carneiro, Miguel Guimarães, Óscar Oliveira, Paulo Novais
Block size, parallelism and predictive performance: finding the sweet spot in distributed learning. Int. J. Parallel Emergent Distributed Syst. 39 (3) (2024)
Davide Carneiro, Miguel Guimarães, Mariana Carvalho, Paulo Novais
Using meta-learning to predict performance metrics in machine learning problems. Expert Syst. J. Knowl. Eng. 40 (1) (2023)
Miguel Guimarães, Filipe Oliveira, Davide Carneiro, Paulo Novais
The Impact of Data Selection Strategies on Distributed Model Performance. ISAmI (2023)
José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães
A multiple criteria approach for building a pandemic impact assessment composite indicator: The case of COVID-19 in Portugal. Eur. J. Oper. Res. 309 (2) (2023)
Guilherme Palumbo, Miguel Guimarães, Davide Carneiro, Paulo Novais, Victor Alves
Real-Time Algorithm Recommendation Using Meta-Learning. ISAmI (2022)
Luís Rosa, Miguel Guimarães, Davide Carneiro, Fábio Silva, César Analide
Explainable Decision Tree on Smart Human Mobility. Intelligent Environments (Workshops) (2022)
Davide Carneiro, Miguel Guimarães, Fábio Silva, Paulo Novais
A predictive and user-centric approach to Machine Learning in data streaming scenarios. Neurocomputing 484 (2022)
Davide Carneiro, Miguel Sousa, Guilherme Palumbo, Miguel Guimarães, Mariana Carvalho, Paulo Novais
Continuously Learning from User Feedback. WorldCIST (1) (2022)
José Rui Figueira, Henrique M. Oliveira, Ana Paula Serro, Rogério Colaço, Filipe Froes, Carlos Robalo Cordeiro, António Diniz, Miguel Guimarães
A multiple criteria approach for constructing a pandemic impact assessment composite indicator: The case of Covid-19 in Portugal. CoRR (2021)
Davide Carneiro, Patrícia Veloso, Miguel Guimarães, Joana Baptista, Miguel Sousa
A Conversational Interface for interacting with Machine Learning models. XAILA@ICAIL (2021)
Davide Carneiro, Miguel Guimarães, Mariana Carvalho, Paulo Novais
Optimizing Model Training in Interactive Learning Scenarios. WorldCIST (1) (2021)
Davide Carneiro, Miguel Guimarães, Miguel Sousa
Optimizing Instance Selection Strategies in Interactive Machine Learning: An Application to Fraud Detection. HIS (2020)
Davide Carneiro, Fábio Silva, Miguel Guimarães, Daniel Sousa, Paulo Novais
Explainable Intelligent Environments. ISAmI (2020)