A Deep Approach for Handwritten Musical Symbols Recognition. - Roberto M. Pinheiro Pereira; Caio Eduardo Falcão Matos; Geraldo Braz Júnior; João Dallyson Sousa de Almeida; Anselmo Cardoso de Paiva (WebMedia, 2016)

Glaucoma Diagnosis over Eye Fundus Image through Deep Features. - Alan Carlos de Moura Lima; Lucas Bezerra Maia; Roberto Matheus Pinheiro Pereira; Geraldo Braz Júnior; João Dallyson Sousa de Almeida; Anselmo Cardoso de Paiva (IWSSIP, 2018)

Evaluation of Melanoma Diagnosis using Deep Features. - Lucas Bezerra Maia; Alan Carlos de Moura Lima; Roberto Matheus Pinheiro Pereira; Geraldo Braz Júnior; João Dallyson Sousa de Almeida; Anselmo Cardoso de Paiva (IWSSIP, 2018)

A Fleet-Based Machine Learning Approach for Automatic Detection of Deviations between Measurements and Reality. - Jakob Pfeiffer; Peter Wolf; Roberto Pereira 001 (IV, 2019)

Subspace Based Hierarchical Channel Clustering in Massive MIMO. - Roberto Pereira 001; Xavier Mestre; David Gregoratti (GLOBECOM (Workshops), 2021)

User Clustering for Rate Splitting using Machine Learning. - Roberto Pereira 001; Anay Ajit Deshpande; Cristian J. Vaca-Rubio; Xavier Mestre; Andrea Zanella; David Gregoratti; Elisabeth de Carvalho; Petar Popovski (EUSIPCO, 2022)

Clustering Complex Subspaces in Large Dimensions. - Roberto Pereira 001; Xavier Mestre; David Gregoratti (ICASSP, 2022)

Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks. - Anay Ajit Deshpande; Andrea Zanella; Roberto Pereira 001; Adriano Pastore; Xavier Mestre; Federico Chiariotti (ICC Workshops, 2022)

Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface. - Cristian J. Vaca-Rubio; Roberto Pereira 001; Xavier Mestre; David Gregoratti; Zheng-Hua Tan; Elisabeth de Carvalho; Petar Popovski (MLSP, 2022)

Consistent Estimators of a New Class of Covariance Matrix Distances in the Large Dimensional Regime. - Roberto Pereira 001; Xavier Mestre; David Gregoratti (ICASSP, 2023)

Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics. - Roberto Pereira 001; Xavier Mestre (ISWCS, 2023)

Deterministic Equivalent of the Log-Euclidean Distance Between Sample Covariance Matrices. - Xavier Mestre; Roberto Pereira 001 (EUSIPCO, 2024)

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis. - Cristian J. Vaca-Rubio; Luis Blanco; Roberto Pereira 001; Màrius Caus (GLOBECOM (Workshops), 2024)

Asymptotics of Distances Between Sample Covariance Matrices. - Roberto Pereira 001; Xavier Mestre; David Gregoratti (IEEE Trans. Signal Process., 2024)

Clustering large dimensional data via second order statistics: applications in wireless communications - Roberto Matheus Pinheiro Pereira (2024)

Consistent Estimation of a Class of Distances Between Covariance Matrices. - Roberto Pereira 001; Xavier Mestre; David Gregoratti (IEEE Trans. Inf. Theory, 2024)

F-KANs: Federated Kolmogorov-Arnold Networks. - Engin Zeydan; Cristian J. Vaca-Rubio; Luis Blanco; Roberto Pereira 001; Màrius Caus; Abdullah Aydeger (CCNC, 2025)

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices. - Roberto Pereira 001; Cristian J. Vaca-Rubio; Luis Blanco (PerCom Workshops, 2025)

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction. - Engin Zeydan; Cristian J. Vaca-Rubio; Luis Blanco; Roberto Pereira 001; Màrius Caus; Kapal Dev (CoRR, 2025)

Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks. - Cristian J. Vaca-Rubio; Vaishnavi Kasuluru; Engin Zeydan; Luis Blanco; Roberto Pereira 001; Màrius Caus; Kapal Dev (IEEE Commun. Stand. Mag., 2025)

Self-Supervised Learning at the Edge: The Cost of Labeling. - Roberto Pereira 001; Fernanda Famá; Asal Rangrazi; Marco Miozzo; Charalampos Kalalas; Paolo Dini (CoRR, 2025)

Energy-Efficient Federated Learning for AIoT Using Clustering Methods. - Roberto Pereira 001; Fernanda Famá; Charalampos Kalalas; Paolo Dini (IEEE Internet Things J., 2025)