Artigo em conferência |
- Pilastri, Andre. "A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost". 2021.
10.1109/ijcnn52387.2021.9534091
- Matos, Luís Miguel; Domingues, André; Moreira, Guilherme; Cortez, Paulo; Pilastri, André Luiz. "A comparison of machine learning
approaches for predicting in-car display production quality". 2021.
10.1007/978-3-030-91608-4_1
- Ribeiro, Diogo Aires Gonçalves; Matos, Luís Miguel; Cortez, Paulo; Moreira, Guilherme; Pilastri, André Luiz. "A comparison
of anomaly detection methods for industrial screw tightening". 2021.
10.1007/978-3-030-86960-1_34
- Coelho, Gabriel; Pereira, Pedro; Matos, Luis; Ribeiro, Alexandrine; Nunes, Eduardo C.; Ferreira, André; Cortez, Paulo; Pilastri,
André. "Deep dense and convolutional autoencoders for machine acoustic anomaly detection". 2021.
10.1007/978-3-030-79150-6_27
- Pereira, Pedro José; Pereira, Adriana; Cortez, Paulo; Pilastri, André Luiz. "A comparison of machine learning methods for
extremely unbalanced industrial quality data". 2021.
10.1007/978-3-030-86230-5_44
- Ferreira, Luís; Pilastri, André Luiz; Martins, Carlos Manuel; Pires, Pedro Miguel; Cortez, Paulo. "A Comparison of AutoML
Tools for Machine Learning, Deep Learning and XGBoost". 2021.
10.1109/IJCNN52387.2021.9534091
- Pereira, Pedro José; Coelho, Gabriel José Dias; Ribeiro, Alexandrine; Matos, Luís Miguel Rocha; Nunes, Eduardo Carvalho; Ferreira,
André; Pilastri, André Luiz; Cortez, Paulo. "Using deep autoencoders for in-vehicle audio anomaly detection". 2021.
- Pilastri, Andre. "Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM
Methodology". 2020.
10.5220/0009411205480555
- Pilastri, Andre. "An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management". 2020.
10.5220/0008952800990107
- Ribeiro, Rui; Pilastri, André; Moura, Carla; Rodrigues, Filipe; Rocha, Rita; Morgado, José; Cortez, Paulo. "Predicting physical
properties of woven fabrics via automated machine learning and textile design and finishing features". 2020.
10.1007/978-3-030-49186-4_21
- Ferreira, Luís; Pilastri, André; Martins, Carlos; Santos, Pedro; Cortez, Paulo. "An automated and distributed machine learning
framework for telecommunications risk management". 2020.
10.5220/0008952800990107
- Silva, António João; Cortez, Paulo; Pilastri, André. "Chemical laboratories 4.0: A two-stage machine learning system for predicting
the arrival of samples". 2020.
10.1007/978-3-030-49186-4_20
- Ribeiro, Rui; Pilastri, André; Moura, Carla; Rodrigues, Filipe; Rocha, Rita; Cortez, Paulo. "Predicting the tear strength
of woven fabrics via automated machine learning: an application of the CRISP-DM methodology". 2020.
10.5220/0009411205480555
- Andre Pilastri; João Papa; João Manuel R. S. Tavares. "Segmentation of Skin in dermatoscopic images using SuperPixels combined
with Complex Networks". 2018.
- Ferrarezi, J.C.; Neto, M.P.; Dias, D.R.C.; Pilastri, A.L.; De Paiva Guimarães, M.; Brega, J.R.F.. "LibViews - An information
visualization application for third-party libraries on software projects". 2016.
10.1109/IV.2016.43
- Fernandes, S.E.N.; Pilastri, A.L.; Pereira, L.A.M.; Pires, R.G.; Papa, J.P.. "Learning kernels for support vector machines
with polynomial powers of sigmoid". 2014.
10.1109/SIBGRAPI.2014.36
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Capítulo de livro |
- Pilastri, Andre. "A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data". 561-572. Springer
International Publishing, 2021.
10.1007/978-3-030-86230-5_44
- Gabriel Coelho; Pedro Pereira; Luis Matos; Alexandrine Ribeiro; Eduardo C. Nunes; André Ferreira; Paulo Cortez; André Pilastri.
"Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection". 337-348. Springer International Publishing,
2021.
10.1007/978-3-030-79150-6_27
- Rui Ribeiro; André Pilastri; Hugo Carvalho; Arthur Matta; Pedro José Pereira; Pedro Rocha; Marcelo Alves; Paulo Cortez. "An
Intelligent Decision Support System for Production Planning in Garments Industry". 2021.
10.1007/978-3-030-91608-4_37
- Luís Ferreira; André Pilastri; Vítor Sousa; Filipe Romano; Paulo Cortez. "Prediction of Maintenance Equipment Failures Using
Automated Machine Learning". 2021.
10.1007/978-3-030-91608-4_26
- Luís Ferreira; André Pilastri; Carlos Martins; Pedro Santos; Paulo Cortez. "A Scalable and Automated Machine Learning Framework
to Support Risk Management". 2021.
10.1007/978-3-030-71158-0_14
- Ferreira, Luís; Pilastri, André Luiz; Martins, Carlos; Santos, Pedro; Cortez, Paulo. "A scalable and automated machine learning
framework to support risk management". Springer, 2021.
10.1007/978-3-030-71158-0_14
- Rui Ribeiro; André Pilastri; Carla Moura; Filipe Rodrigues; Rita Rocha; José Morgado; Paulo Cortez. "Predicting Physical Properties
of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features". 244-255. Springer International
Publishing, 2020.
10.1007/978-3-030-49186-4_21
- António João Silva; Paulo Cortez; André Pilastri. "Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting
the Arrival of Samples". 232-243. Springer International Publishing, 2020.
10.1007/978-3-030-49186-4_20
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