publicações selecionadas
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artigo académico
- International revenue share fraud prediction on the 5G edge using federated learning. Computing. 2023
- RTSIMU: Real-Time Simulation tool for IMU sensors. Software Impacts. 2023
- Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. Procedia Computer Science. 2022
- Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. Procedia Computer Science. 2021
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artigo de conferência
- AI4CITY - An Automated Machine Learning Platform for Smart Cities 2023
- A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. IEEE International Joint Conference on Neural Networks (IJCNN). 2022
- A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. IEEE International Joint Conference on Neural Networks (IJCNN). 2022
- A federated machine learning approach to detect international revenue share fraud on the 5G edge 2022
- A Machine Learning Approach for Spare Parts Lifetime Estimation. ICAART. 2022
- A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. IEEE International Joint Conference on Neural Networks (IJCNN). 2021
- An automated and distributed machine learning framework for telecommunications risk management 2020
- Predicting the tear strength of woven fabrics via automated machine learning: An application of the CRISP-DM methodology 2020
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artigo de revista
- A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics. Expert Systems with Applications. 2023
- Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Software Impacts. 2022
- Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Expert Systems with Applications. 2022
- Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection. Computers. 2022
- RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]. Software Impacts. 2022
- Using supervised and one-class automated machine learning for predictive maintenance. Applied Soft Computing. 2022
- Business analytics in Industry 4.0: A systematic review. Electronics. 2021
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capítulo de livro
- Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case 2023
- An Intelligent Decision Support System for Production Planning in Garments Industry. Computational Methods in Applied Sciences. 2021
- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. IFIP Advances in Information and Communication Technology. 2021
- Prediction of Maintenance Equipment Failures Using Automated Machine Learning. Computational Methods in Applied Sciences. 2021
- Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples. IFIP Advances in Information and Communication Technology. 2020
- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features. IFIP Advances in Information and Communication Technology. 2020
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livro
- A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting 2022
- An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets 2022
- An Intelligent Decision Support System for Road Freight Transport 2022
- Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning 2022
- A Comparison of Anomaly Detection Methods for Industrial Screw Tightening 2021
- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality 2021
- A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data 2021
- A Scalable and Automated Machine Learning Framework to Support Risk Management 2021