Decreasing greenhouse emissions through an intelligent traffic information system based on inter-vehicle communication. - Allan Mariano de Souza; Azzedine Boukerche; Guilherme Maia; Rodolfo Ipolito Meneguette; Antonio A. F. Loureiro; Leandro Aparecido Villas (MOBIWAC, 2014)

ADD: A Data Dissemination Solution for Highly Dynamic Highway Environments. - Allan Mariano de Souza; Guilherme Maia; Leandro A. Villas (NCA, 2014)

Scorpion: A Solution Using Cooperative Rerouting to Prevent Congestion and Improve Traffic Condition. - Allan Mariano de Souza; Roberto Sadao Yokoyama; Leonardo Castro Botega; Rodolfo Ipolito Meneguette; Leandro Aparecido Villas (CIT/IUCC/DASC/PICom, 2015)

GARUDA: A New Geographical Accident Aware Solution to Reduce Urban Congestion. - Allan Mariano de Souza; Roberto Sadao Yokoyama; Nelson Luis Saldanha da Fonseca; Rodolfo Ipolito Meneguette; Leandro Aparecido Villas (CIT/IUCC/DASC/PICom, 2015)

An intelligent transportation system for detection and control of congested roads in urban centers. - Celso A. R. L. Brennand; Allan Mariano de Souza; Guilherme Maia; Azzedine Boukerche; Heitor S. Ramos; Antonio A. F. Loureiro; Leandro A. Villas (ISCC, 2015)

Minimizing traffic jams in urban Centers using vehicular ad hoc networks. - Allan Mariano de Souza; Roberto Sadao Yokoyama; Guilherme Maia; Antonio Alfredo Ferreira Loureiro; Leandro A. Villas (NTMS, 2015)

Real-time path planning to prevent traffic jam through an intelligent transportation system. - Allan Mariano de Souza; Roberto Sadao Yokoyama; Guilherme Maia; Antonio A. F. Loureiro; Leandro Aparecido Villas (ISCC, 2016)

A Fully-distributed Traffic Management System to Improve the Overall Traffic Efficiency. - Allan Mariano de Souza; Leandro Aparecido Villas (MSWiM, 2016)

SPARTAN: A Solution to Prevent Traffic Jam with Real-Time Alert and Re-Routing for Smart City. - Allan Mariano de Souza; Azzedine Boukerche; Guilherme Maia; Eduardo Cerqueira; Antonio A. F. Loureiro; Leandro A. Villas (VTC Fall, 2016)

ICARUS: Improvement of traffic Condition through an Alerting and Re-routing System. - Allan Mariano de Souza; Roberto Sadao Yokoyama; Azzedine Boukerche; Guilherme Maia; Eduardo Cerqueira; Antonio A. F. Loureiro; Leandro Aparecido Villas (Comput. Networks, 2016)

A fully-distributed advanced traffic management system based on opportunistic content sharing. - Allan Mariano de Souza; Nelson L. S. da Fonseca; Leandro Villas (ICC, 2017)

Centrality-based data dissemination protocol for vehicular ad hoc networks. - Joahannes Costa; Wellington Lobato; Allan Mariano de Souza; Denis do Rosário; Leandro A. Villas; Eduardo Cerqueira (NCA, 2017)

GTE: Um Sistema para Gerenciamento de Trânsito Escalável baseado em Compartilhamento Oportunista. - Allan Mariano de Souza; Leonardo C. Botega; Leandro A. Villas (SBRC, 2017)

Traffic management systems: A classification, review, challenges, and future perspectives. - Allan Mariano de Souza; Celso A. R. L. Brennand; Roberto Sadao Yokoyama; Erick Donato; Edmundo Roberto Mauro Madeira; Leandro A. Villas (Int. J. Distributed Sens. Networks, 2017)

FnS: Enhancing Traffic Mobility and Public Safety based on a Hybrid Transportation System. - Allan Mariano de Souza; Leonardo C. Botega; Leandro A. Villas (DCOSS, 2018)

Data Dissemination Based on Complex Networks' Metrics for Distributed Traffic Management Systems. - Joahannes Costa; Denis do Rosário; Allan Mariano de Souza; Leandro A. Villas; Eduardo Cerqueira (ISCC, 2018)

Efficient Context-Aware Vehicular Traffic Re-Routing Based on Pareto-Optimality: A Safe-Fast Use Case. - Allan Mariano de Souza; Torsten Braun; Leandro Villas (ITSC, 2018)

Protocolo para Disseminação de Dados em VANETs baseado em Métricas de Redes Complexas: Um Estudo de Caso com Sistema de Gerenciamento de Trânsito. - Joahannes Costa; Denis Rosário; Allan Mariano de Souza; Leandro A. Villas; Eduardo Cerqueira (SBRC, 2018)

Por Aqui é Mais Seguro: Melhorando a Mobilidade e a Segurança nas Vias Urbanas. - Allan Mariano de Souza; Leonardo C. Botega; Islene Calciolari Garcia; Leandro A. Villas (SBRC, 2018)

Itssafe: An Intelligent Transportation System for Improving Safety and Traffic Efficiency. - Allan Mariano de Souza; Lehilton L. C. Pedrosa; Leonardo C. Botega; Leandro Villas (VTC Spring, 2018)

MARTINI: Towards a mobile and variable time window identification for spatio-temporal data. - Lucas Zanco Ladeira; Allan Mariano de Souza; Geraldo Pereira Rocha Filho; Thiago Henrique Silva; Matheus Ferraroni Sanches; Leandro Aparecido Villas (LATINCOM, 2019)

Optimizing Infrastructure Placement with Genetic Algorithm: A Traffic Management Use Case. - Matheus Ferraroni Sanches; Allan Mariano de Souza; Wellington Lobato; Leandro A. Villas (LATINCOM, 2019)

Serviço de Sugestão de Rotas Seguras para Veículos. - Lucas Zanco Ladeira; Allan Mariano de Souza; Geraldo P. R. Filho; Thiago Henrique Silva; Leandro Villas (SBRC, 2019)

Vehicular software-defined networking and fog computing: Integration and design principles. - Jéferson Campos Nobre; Allan Mariano de Souza; Denis do Rosário; Cristiano Both; Leandro A. Villas; Eduardo Cerqueira; Torsten Braun; Mario Gerla (Ad Hoc Networks, 2019)

Efficient data dissemination protocol based on complex networks' metrics for urban vehicular networks. - Joahannes B. D. da Costa; Allan Mariano de Souza; Denis do Rosário; Eduardo Cerqueira; Leandro A. Villas (J. Internet Serv. Appl., 2019)

Better safe than sorry: a vehicular traffic re-routing based on traffic conditions and public safety issues. - Allan Mariano de Souza; Torsten Braun; Leonardo C. Botega; Raquel Cabral; Islene C. Garcia; Leandro A. Villas (J. Internet Serv. Appl., 2019)

An Interest-Based Approach for Reducing Network Contentions in Vehicular Transportation Systems. - Allan Mariano de Souza; Guilherme Maia; Torsten Braun; Leandro A. Villas (Sensors, 2019)

PONCHE: Personalized and Context-Aware Vehicle Rerouting Service. - Lucas Zanco Ladeira; Allan Mariano de Souza; Thiago Henrique Silva; Richard W. Pazzi; Leandro A. Villas (CLOUD, 2020)

GIN: Better going safe with personalized routes. - Lucas Zanco Ladeira; Allan Mariano de Souza; Heitor S. Ramos; Leandro Aparecido Villas (ISCC, 2020)

CERVA: Roteamento Contextual para Veículos com Risco Espaço-temporal. - Lucas Zanco Ladeira; Allan Mariano de Souza; Thiago Henrique Silva; Geraldo Pereira Rocha Filho; Maycon Leone Maciel Peixoto; Leandro Aparecido Villas (SBRC, 2020)

Vem Tranquilo: Rotas Eficientes baseado na Dinâmica Urbana Futura com Deep Learning e Computação de Borda. - Allan Mariano de Souza; Leandro Aparecido Villas (SBRC, 2020)

A Cache Strategy for Intelligent Transportation System to Connected Autonomous Vehicles. - Wellington Lobato; Allan Mariano de Souza; Maycon L. M. Peixoto; Denis do Rosário; Leandro Villas (VTC Fall, 2020)

An adaptive and Distributed Traffic Management System using Vehicular Ad-hoc Networks. - Thiago S. Gomides; Robson E. De Grande; Allan Mariano de Souza; Fernanda S. H. Souza; Leandro A. Villas; Daniel L. Guidoni (Comput. Commun., 2020)

Safe and Sound: Driver Safety-Aware Vehicle Re-Routing Based on Spatiotemporal Information. - Allan Mariano de Souza; Torsten Braun; Leonardo C. Botega; Leandro A. Villas; Antonio A. F. Loureiro (IEEE Trans. Intell. Transp. Syst., 2020)

Mecanismo Eficiente de Localização Cooperativa para Veículos Autônomos Conectados. - Wellington Lobato Jr.; Allan Mariano de Souza; Eduardo Cerqueira; Denis Rosário; Leandro Villas (SBRC, 2021)

Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction. - Mostafa Karimzadeh; Ryan Aebi; Allan Mariano de Souza; Zhongliang Zhao; Torsten Braun; Susana Sargento; Leandro Villas (WCNC, 2021)

Towards a Personalized Multi-objective Vehicular Traffic Re-routing System. - Allan Mariano de Souza (2021)

MCCD: Generating Human Natural Language Conversational Datasets. - Matheus Ferraroni Sanches; Jáder M. C. de Sá; Allan Mariano de Souza; Diego A. Silva; Rafael Roque de Souza; Júlio Cesar dos Reis; Leandro A. Villas (ICEIS (2), 2022)

A Novel Short-term Vehicle Location Prediction using Temporal Graph Neural Networks. - Farimasadat Miri; Alireza A. Namanloo; Allan Mariano de Souza; Richard W. Pazzi (LATINCOM, 2022)

NEMESIS: Mecanismo para Formação de Nuvens Veiculares Baseado em Previsão de Mobilidade. - Joahannes B. D. da Costa; Wellington Lobato Jr.; Allan Mariano de Souza; Eduardo Cerqueira; Denis Rosário; Leandro A. Villas (SBRC, 2022)

Escalonamento de Tarefas Ciente de Contexto para Computação de Borda Veicular. - Joahannes B. D. da Costa; Allan Mariano de Souza; Rodolfo I. Meneguette; Eduardo Cerqueira; Denis Rosário; Leandro A. Villas (SBRC, 2022)

Efficient Pareto Optimality-based Task Scheduling for Vehicular Edge Computing. - Joahannes B. D. da Costa; Allan Mariano de Souza; Denis Rosário; Christoph Sommer 001; Leandro A. Villas (VTC Fall, 2022)

FLEXE: Investigating Federated Learning in Connected Autonomous Vehicle Simulations. - Wellington Lobato; Joahannes B. D. da Costa; Allan Mariano de Souza; Denis Rosário; Christoph Sommer 001; Leandro A. Villas (VTC Fall, 2022)

Enhancing Sensing and Decision-Making of Automated Driving Systems With Multi-Access Edge Computing and Machine Learning. - Allan Mariano de Souza; Horacio A. B. F. de Oliveira; Zhongliang Zhao; Torsten Braun; Antonio A. F. Loureiro; Leandro A. Villas (IEEE Intell. Transp. Syst. Mag., 2022)

Compressed Client Selection for Efficient Communication in Federated Learning. - Aissa Hadj Mohamed; Nícolas R. G. Assumpçáo; Carlos A. Astudillo; Allan Mariano de Souza; Luiz F. Bittencourt; Leandro A. Villas (CCNC, 2023)

FedPredict: Combining Global and Local Parameters in the Prediction Step of Federated Learning. - Cláudio Gustavo S. Capanema; Allan Mariano de Souza; Fabrício A. Silva; Leandro A. Villas; Antonio A. F. Loureiro (DCOSS-IoT, 2023)

Resource Aware Client Selection for Federated Learning in IoT Scenarios. - Filipe Maciel; Allan Mariano de Souza; Luiz F. Bittencourt; Leandro A. Villas (DCOSS-IoT, 2023)

Dispositivos, Eu Escolho Vocês: Seleção de Clientes Adaptativa para Comunicação Eficiente em Aprendizado Federado. - Allan Mariano de Souza; Luiz F. Bittencourt; Eduardo Cerqueira; Antonio A. F. Loureiro; Leandro A. Villas (SBRC, 2023)

EntropicFL: Efficient Federated Learning via Data Entropy and Model Divergence. - Rómulo Walter Condori Bustincio; Allan Mariano de Souza; Joahannes B. D. da Costa; Luiz F. Bittencourt (UCC, 2023)

CCSF: Clustered Client Selection Framework for Federated Learning in non-IID Data. - Aissa Hadj Mohamed; Allan Mariano de Souza; Joahannes B. D. da Costa; Leandro A. Villas; Júlio Cesar dos Reis (UCC, 2023)

Improving Fairness and Performance in Resource Usage for Vehicular Edge Computing. - Joahannes B. D. da Costa; Allan Mariano de Souza; Wellington Lobato; Denis Rosário; Christoph Sommer 001; Leandro Villas (VTC Fall, 2023)

Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices. - Diego O. Rodrigues; Allan Mariano de Souza; Torsten Braun; Guilherme Maia; Antonio A. F. Loureiro; Leandro A. Villas (J. Internet Serv. Appl., 2023)

Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing. - Joahannes B. D. da Costa; Allan Mariano de Souza; Rodolfo I. Meneguette; Eduardo Cerqueira; Denis Rosário; Christoph Sommer 001; Leandro Villas (IEEE Trans. Intell. Transp. Syst., 2023)

Automatic Extraction of Conversation Flows from Human Dialogues: Understanding Their Impact to Refine NLP Models. - Matheus Ferraroni Sanches; Jáder Martins Camboim de Sá; Rafael Roque de Souza; Allan Mariano de Souza; Júlio Cesar dos Reis; Leandro Aparecido Villas (SN Comput. Sci., 2023)

Mobility-aware Vehicular Cloud formation mechanism for Vehicular Edge Computing environments. - Joahannes B. D. da Costa; Wellington Lobato; Allan Mariano de Souza; Eduardo Cerqueira; Denis Rosário; Christoph Sommer 001; Leandro A. Villas (Ad Hoc Networks, 2023)

Adaptive Fit Fraction Based on Model Performance Evolution in Federated Learning. - Filipe Maciel; Joahannes B. D. da Costa; Luis F. G. Gonzalez; Allan Mariano de Souza; Leandro A. Villas; Luiz F. Bittencourt (FiCloud, 2024)

FedSCCS: Hierarchical Clustering with Multiple Models for Federated Learning. - Gabriel U. Talasso; Allan Mariano de Souza; Luiz F. Bittencourt; Eduardo Cerqueira; Antonio A. F. Loureiro; Leandro A. Villas (ICC, 2024)

Let's Federate - Effective Communication Strategy for Dynamic Client Participation. - Rafael O. Jarczewski; Eduardo Cerqueira; Luiz F. Bittencourt; Antonio A. F. Loureiro; Leandro A. Villas; Allan Mariano de Souza (ICMLA, 2024)

Partial Training Mechanism to Handle the Impact of Stragglers in Federated Learning with Heterogeneous Clients. - Bruno S. Martins; Allan Mariano de Souza; Denis Rosário; Carlos A. Astudillo; Eduardo Cerqueira; Leandro Villas (ISCC, 2024)

Combining Client Selection Strategy with Knowledge Distillation for Federated Learning in non-IID Data. - Aissa Hadj Mohamed; Joahannes B. D. da Costa; Leandro A. Villas; Júlio Cesar dos Reis; Allan Mariano de Souza (ISCC, 2024)

Minimizing Communication Overhead via Wavelet-Based Model Compression in Federated Learning. - Rómulo Walter Condori Bustincio; Jorge L. Díaz Calle; Joahannes B. D. da Costa; Luis F. G. Gonzalez; Allan Mariano de Souza; Luiz F. Bittencourt (UCC, 2024)

Efficient Federated Learning for Heterogeneous Data: A Client Selection and Adaptive Knowledge Distillation Approach. - Aissa Hadj Mohamed; Joahannes B. D. da Costa; Allan Mariano de Souza; Leandro A. Villas; Júlio Cesar dos Reis (UCC, 2024)

EcoPredict: Assessing Distributed Machine Learning Methods for Predicting Urban Emissions. - Carnot Braun; Joahannes B. D. da Costa; Leandro A. Villas; Allan Mariano de Souza (VTC Fall, 2024)

Adaptive client selection with personalization for communication efficient Federated Learning. - Allan Mariano de Souza; Filipe Maciel; Joahannes B. D. da Costa; Luiz F. Bittencourt; Eduardo Cerqueira; Antonio A. F. Loureiro; Leandro A. Villas (Ad Hoc Networks, 2024)

Federated learning energy saving through client selection. - Filipe Maciel; Allan Mariano de Souza; Luiz F. Bittencourt; Leandro A. Villas; Torsten Braun (Pervasive Mob. Comput., 2024)

Synthetic Driving Conditions Data Generation Using Federated Generative Adversarial Networks. - David de Melo A. Dos Reis; Allan Mariano de Souza (J. Internet Serv. Appl., 2025)

A Novel Prediction Technique for Federated Learning. - Cláudio Gustavo S. Capanema; Allan Mariano de Souza; Joahannes B. D. da Costa; Fabrício A. Silva; Leandro A. Villas; Antonio A. F. Loureiro (IEEE Trans. Emerg. Top. Comput., 2025)