publicações selecionadas
-
artigo académico
- RTSIMU: Real-Time Simulation tool for IMU sensors. Software Impacts. 2023
- A Deep Learning-Based Decision Support System for Mobile Performance Marketing. International Journal of Information Technology & Decision Making. 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
-
artigo de conferência
- 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 Machine Learning Approach for Spare Parts Lifetime Estimation. ICAART. 2022
- Using Deep Learning for Mobile Marketing User Conversion Prediction. IEEE International Joint Conference on Neural Networks (IJCNN). 2019
- A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction 2018
-
artigo de revista
- 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
-
capítulo de livro
- Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case 2023
- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. IFIP Advances in Information and Communication Technology. 2021
-
documento
-
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
- 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 Categorical Clustering of Publishers for Mobile Performance Marketing 2019
- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion 2019
- Forecasting store foot traffic using facial recognition, time series and support vector machines 2017
-
teses