Singing Voice Analysis Using Relative Harmonic Delays. - Ricardo Teixeira Sousa; Aníbal J. S. Ferreira (INTERSPEECH, 2011)

Estimation of harmonic and noise components of the glottal excitation. - Ricardo Teixeira Sousa; Aníbal J. S. Ferreira; Paavo Alku (MAVEBA, 2011)

Accurate analysis and visual feedback of vibrato in singing. - Jose Ventura; Ricardo Teixeira Sousa; Aníbal J. S. Ferreira (ISCCSP, 2012)

The harmonic and noise information of the glottal pulses in speech. - Ricardo Teixeira Sousa; Aníbal J. S. Ferreira; Paavo Alku (Biomed. Signal Process. Control., 2014)

Enabling IIoT IP backbones with real-time guarantees. - Ricardo Teixeira Sousa; Paulo Pedreiras; Pedro Gonçalves (ETFA, 2015)

Online Multi-label Classification with Adaptive Model Rules. - Ricardo Teixeira Sousa; João Gama 001 (CAEPIA, 2016)

Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules. - Ricardo Teixeira Sousa; João Gama 001 (IDA, 2016)

First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation. - Ricardo Teixeira Sousa; João Gama 001 (STREAMEVOLV@ECML-PKDD, 2016)

Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules. - Ricardo Teixeira Sousa; João Gama 001 (ISMIS, 2017)

Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules. - Ricardo Teixeira Sousa; João Gama 001 (IOTSTREAMING@PKDD/ECML, 2017)

Co-training study for online regression. - Ricardo Teixeira Sousa; João Gama 001 (SAC, 2018)

Multi-label classification from high-speed data streams with adaptive model rules and random rules. - Ricardo Teixeira Sousa; João Gama 001 (Prog. Artif. Intell., 2018)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (ICDE, 2019)

Hierarchical Qualitative Clustering - clustering mixed datasets with critical qualitative information. - Diogo Seca; João Mendes-Moreira 001; Tiago Mendes-Neves; Ricardo Teixeira Sousa (CoRR, 2020)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (IEEE Trans. Knowl. Data Eng., 2020)

Exploiting BIM Objects for Synthetic Data Generation toward Indoor Point Cloud Classification Using Deep Learning. - Ernesto Frías; José Pinto 008; Ricardo Teixeira Sousa; Henrique Lorenzo; Lucía Díaz-Vilariño (J. Comput. Civ. Eng., 2022)

Time-Series Pattern Verification in CNC Machining Data. - João Miguel Silva; Ana Rita Nogueira; José Pinto 008; António Correia Alves; Ricardo Teixeira Sousa (EPIA (1), 2023)

Unsupervised Online Event Ranking for IT Operations. - Tiago Costa Mendes; André Azevedo Barata; Miguel Pereira; João Mendes-Moreira 001; Rui Camacho; Ricardo Teixeira Sousa (IDEAL, 2023)

Process mining embeddings: Learning vector representations for Petri nets. - Juan Gabriel Colonna; Ahmed A. Fares; Márcio Duarte; Ricardo Teixeira Sousa (Intell. Syst. Appl., 2024)

Optimal gas subset selection for dissolved gas analysis in power transformers. - José Pinto 008; Vitor Esteves; Sérgio M. O. Tavares; Ricardo Teixeira Sousa (Prog. Artif. Intell., 2024)

Online boxplot derived outlier detection. - Arefeh Mazarei; Ricardo Teixeira Sousa; João Mendes-Moreira 001; Slavo Molchanov; Hugo Miguel Mendes Ferreira (Int. J. Data Sci. Anal., 2025)

KDBI special issue: Time-series pattern verification in CNC turning - A comparative study of one-class and binary classification. - João Pinto da Silva; Ana Rita Nogueira; José Pinto 008; Manuel Curral; António Correia Alves; Ricardo Teixeira Sousa (Expert Syst. J. Knowl. Eng., 2025)