André Luiz Pilastri
Orcid: 0000-0002-4380-3220
According to our database1,
André Luiz Pilastri
authored at least 35 papers
between 2014 and 2023.
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Bibliography
2023
International revenue share fraud prediction on the 5G edge using federated learning.
Computing, September, 2023
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics.
Neural Comput. Appl., August, 2023
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
2022
RanCoord - A random geographic coordinates generator for transport and logistics research and development activities.
Softw. Impacts, December, 2022
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing.
Softw. Impacts, 2022
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio.
Neural Comput. Appl., 2022
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection.
Comput., 2022
Using supervised and one-class automated machine learning for predictive maintenance.
Appl. Soft Comput., 2022
A federated machine learning approach to detect international revenue share fraud on the 5G edge.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors.
Proceedings of the International Joint Conference on Neural Networks, 2022
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
Expert Syst. J. Knowl. Eng., 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data.
Proceedings of the Progress in Artificial Intelligence, 2021
2020
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection in Machine Condition Sounds.
CoRR, 2020
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Predicting the Tear Strength of Woven Fabrics Via Automated Machine Learning: An Application of the CRISP-DM Methodology.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020
Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020
An Automated and Distributed Machine Learning Framework for Telecommunications Risk Management.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020
2016
LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects.
Proceedings of the 20th International Conference Information Visualisation, 2016
2014
Proceedings of the 27th SIBGRAPI Conference on Graphics, Patterns and Images, 2014