Ricardo Teixeira Sousa
Orcid: 0000-0002-8414-5826
According to our database1,
Ricardo Teixeira Sousa
authored at least 22 papers
between 2011 and 2025.
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Bibliography
2025
KDBI special issue: Time-series pattern verification in CNC turning - A comparative study of one-class and binary classification.
Expert Syst. J. Knowl. Eng., February, 2025
2024
Prog. Artif. Intell., March, 2024
Intell. Syst. Appl., 2024
2023
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023
Proceedings of the Progress in Artificial Intelligence, 2023
2022
Exploiting BIM Objects for Synthetic Data Generation toward Indoor Point Cloud Classification Using Deep Learning.
J. Comput. Civ. Eng., 2022
2020
IEEE Trans. Knowl. Data Eng., 2020
Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information.
CoRR, 2020
2019
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Multi-label classification from high-speed data streams with adaptive model rules and random rules.
Prog. Artif. Intell., 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
2017
Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules.
Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017
Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017
2016
First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation.
Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), 2016
Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
Proceedings of the Advances in Artificial Intelligence, 2016
2015
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015
2014
Biomed. Signal Process. Control., 2014
2012
Proceedings of the 5th International Symposium on Communications, 2012
2011
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011