Roberto M. Pinheiro Pereira

According to our database, Roberto M. Pinheiro Pereira authored at least 22 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Energy-Efficient Federated Learning for AIoT Using Clustering Methods.

Roberto Pereira, Fernanda Famá, Charalampos Kalalas, Paolo Dini

IEEE Internet Things J., September, 2025

Self-Supervised Learning at the Edge: The Cost of Labeling.

Roberto Pereira, Fernanda Famá, Asal Rangrazi, Marco Miozzo, Charalampos Kalalas, Paolo Dini

CoRR, July, 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, Màrius Caus, Kapal Dev

IEEE Commun. Stand. Mag., June, 2025

Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction.

Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Kapal Dev

CoRR, March, 2025

Learn More by Using Less: Distributed Learning with Energy-Constrained Devices.

Roberto Pereira, Cristian J. Vaca-Rubio, Luis Blanco

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

F-KANs: Federated Kolmogorov-Arnold Networks.

Engin Zeydan, Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus, Abdullah Aydeger

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

Consistent Estimation of a Class of Distances Between Covariance Matrices.

Roberto Pereira, Xavier Mestre, David Gregoratti

IEEE Trans. Inf. Theory, November, 2024

Clustering large dimensional data via second order statistics: applications in wireless communications

Roberto Matheus Pinheiro Pereira

PhD thesis, 2024

Asymptotics of Distances Between Sample Covariance Matrices.

Roberto Pereira, Xavier Mestre, David Gregoratti

IEEE Trans. Signal Process., 2024

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis.

Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, Màrius Caus

Proceedings of the IEEE Globecom Workshops 2024, 2024

Deterministic Equivalent of the Log-Euclidean Distance Between Sample Covariance Matrices.

Xavier Mestre, Roberto Pereira

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Statistical Framework for Clustering MU-MIMO Wireless via Second Order Statistics.

Roberto Pereira, Xavier Mestre

Proceedings of the 19th International Symposium on Wireless Communication Systems, 2023

Consistent Estimators of a New Class of Covariance Matrix Distances in the Large Dimensional Regime.

Roberto Pereira, Xavier Mestre, David Gregoratti

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface.

Cristian J. Vaca-Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Beam Aware Stochastic Multihop Routing for Flying Ad-hoc Networks.

Anay Ajit Deshpande, Andrea Zanella, Roberto Pereira, Adriano Pastore, Xavier Mestre, Federico Chiariotti

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Clustering Complex Subspaces in Large Dimensions.

Roberto Pereira, Xavier Mestre, David Gregoratti

Proceedings of the IEEE International Conference on Acoustics, 2022

User Clustering for Rate Splitting using Machine Learning.

Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Subspace Based Hierarchical Channel Clustering in Massive MIMO.

Roberto Pereira, Xavier Mestre, David Gregoratti

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2019

A Fleet-Based Machine Learning Approach for Automatic Detection of Deviations between Measurements and Reality.

Jakob Pfeiffer, Peter Wolf, Roberto Pereira

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

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

Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

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

Proceedings of the 25th International Conference on Systems, Signals and Image Processing, 2018

2016

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

Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016