Ricardo Teixeira Sousa

Orcid: 0000-0002-8414-5826

According to our database1, Ricardo Teixeira Sousa authored at least 19 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Optimal gas subset selection for dissolved gas analysis in power transformers.
Prog. Artif. Intell., March, 2024

2023
Unsupervised Online Event Ranking for IT Operations.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Time-Series Pattern Verification in CNC Machining Data.
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
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks.
IEEE Trans. Knowl. Data Eng., 2020

Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information.
CoRR, 2020

2019
BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract).
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

Co-training study for online regression.
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

Online Multi-label Classification with Adaptive Model Rules.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Enabling IIoT IP backbones with real-time guarantees.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2014
The harmonic and noise information of the glottal pulses in speech.
Biomed. Signal Process. Control., 2014

2012
Accurate analysis and visual feedback of vibrato in singing.
Proceedings of the 5th International Symposium on Communications, 2012

2011
Estimation of harmonic and noise components of the glottal excitation.
Proceedings of the 7th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, 2011

Singing Voice Analysis Using Relative Harmonic Delays.
Proceedings of the INTERSPEECH 2011, 2011


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