publicações selecionadas
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artigo académico
- Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Expert Systems with Applications. 2022
- Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Systems with Applications. 2021
- Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. Procedia Computer Science. 2021
- Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. Procedia Computer Science. 2021
- Multi-step time series prediction intervals using neuroevolution. Expert Systems with Applications. 2020
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artigo de conferência
- A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities. International Journal on Software Tools for Technology Transfer. 2025
- AI4CITY - An Automated Machine Learning Platform for Smart Cities 2023
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capítulo de livro
- A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models. International Journal on Software Tools for Technology Transfer. 2025
- An Intelligent Decision Support System for Production Planning in Garments Industry. International Journal on Software Tools for Technology Transfer. 2021
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documento
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livro
- A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities 2023
- Predicting Multiple Domain Queue Waiting Time via Machine Learning 2023
- A Comparison of Automated Time Series Forecasting Tools for Smart Cities 2022
- A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data 2021
- A Categorical Clustering of Publishers for Mobile Performance Marketing 2019
- Using Neuroevolution for Predicting Mobile Marketing Conversion 2019
- Forecasting store foot traffic using facial recognition, time series and support vector machines 2017
- Multi-objective learning of neural network time series prediction intervals 2017