An Open-Source Speech Recognizer for Brazilian Portuguese with a Windows Programming Interface. - Patrick Silva; Pedro Batista 002; Nelson Neto 001; Aldebaro Klautau (PROPOR, 2010)

Baseline Acoustic Models for Brazilian Portuguese Using CMU Sphinx Tools. - Rafael Oliveira 003; Pedro Batista 002; Nelson Neto 001; Aldebaro Klautau (PROPOR, 2012)

A genetic algorithm with look-ahead mechanism to estimate formant synthesizer input parameters. - Jonathas Trindade; Fabiola Araujo; Aldebaro Klautau; Pedro Batista 002 (IEEE Congress on Evolutionary Computation, 2013)

Uma Ferramenta para Projeto de Sistemas de Diálogos para Call Center Baseados em Asterisk (A Tool for the Design of Dialog Systems for Asterisk-based Call Centers) [in Portuguese]. - Estillac Borges Filho; Pedro Batista 002; Aldebaro Klautau (STIL, 2013)

5G MIMO Data for Machine Learning: Application to Beam-Selection Using Deep Learning. - Aldebaro Klautau; Pedro Batista 002; Nuria González-Prelcic; Yuyang Wang 004; Robert W. Heath Jr. (ITA, 2018)

Utterance Copy in Formant-Based Speech Synthesizers Using LSTM Neural Networks. - Cassio T. Batista; Renan F. Cunha; Pedro Batista 002; Aldebaro Klautau; Nelson Neto 001 (BRACIS, 2019)

Tenant-Aware Slice Admission Control Using Neural Networks-Based Policy Agent. - Pedro Batista 002; Shah Nawaz Khan; Peter Öhlén; Aldebaro Klautau (CrownCom, 2019)

Testbed for ICN media distribution over LTE radio access networks. - Pedro Batista 002; Ivanes Araújo; Neiva Linder; Kim Laraqui; Aldebaro Klautau (Comput. Networks, 2019)

Explainability Methods for Identifying Root-Cause of SLA Violation Prediction in 5G Network. - Ahmad Terra; Rafia Inam; Sandhya Baskaran; Pedro Batista 002; Ian Burdick; Elena Fersman (GLOBECOM, 2020)

Testbed for 5G Connected Artificial Intelligence on Virtualized Networks. - Cleverson Veloso Nahum; Lucas De Nóvoa Martins Pinto; Virgínia Brioso Tavares; Pedro Batista 002; Silvia Lins; Neiva Linder; Aldebaro Klautau (IEEE Access, 2020)

Predicting Video Bitrate from Encrypted Streaming Traffic in SDN-based 5G Networks with ML. - Diego Figueiredo; Rodrigo Dutra; Ilan Sousa; Aldebaro Klautau; Pedro Batista 002 (LATINCOM, 2021)

Using Counterfactuals to Proactively Solve Service Level Agreement Violations in 5G Networks. - Ahmad Terra; Rafia Inam; Pedro Batista 002; Elena Fersman (INDIN, 2022)

Ray-Tracing MIMO Channel Dataset for Machine Learning Applied to V2V Communication. - Daniel Suzuki; Ailton de Oliveira; Luan Gonçalves; Ilan Correa; Aldebaro Klautau; Silvia Lins; Pedro Batista 002 (LATINCOM, 2022)

Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO. - Victor Hugo L. Lopes; Cleverson Veloso Nahum; Ryan M. Dreifuerst; Pedro Batista 002; Aldebaro Klautau; Kleber Vieira Cardoso; Robert W. Heath Jr. (IEEE Access, 2022)

Integrate: Intent-Driven Router Queue Depth Configuration via Reinforcement Learning. - Ajay Kattepur; Pedro Batista 002; Alessandro Previti; Konstantinos Vandikas (6GNet, 2024)

CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins. - João Borges; Felipe Bastos; Ilan Correa; Pedro Batista 002; Aldebaro Klautau (CoRR, 2024)

Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning. - Cleverson Veloso Nahum; Victor Hugo L. Lopes; Ryan M. Dreifuerst; Pedro Batista 002; Ilan Correa; Kleber Vieira Cardoso; Aldebaro Klautau; Robert W. Heath Jr. (IEEE Trans. Wirel. Commun., 2024)

CAVIAR: Co-Simulation of 6G Communications, 3-D Scenarios, and AI for Digital Twins. - João Borges; Felipe Bastos; Ilan Correa; Pedro Batista 002; Aldebaro Klautau (IEEE Internet Things J., 2024)

Accelerating Ray Tracing-Based Wireless Channels Generation for Real-Time Network Digital Twins. - Cláudio Modesto; Lucas Mozart; Pedro Batista 002; André Cavalcante; Aldebaro Klautau (IEEE Open J. Commun. Soc., 2025)

Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios. - Cleverson Veloso Nahum; Salvatore D'Oro; Pedro Batista 002; Cristiano Both; Kleber Vieira Cardoso; Aldebaro Klautau; Tommaso Melodia (CoRR, 2025)