Prototyping as a powerful tool in a user centered innovation process. - Tiago Barros; Paulo Melo (IHC+CLIHC (Companion), 2011)

ISDB-T receiver architecture and VLSI implementation in 65 nm CMOS, for Fixed-Reception high definition Digital Television. - E. R. de Lima; Tiago Barros; G. S. Teles; V. Pimenta; M. A. J. Perez; J. P. S. Vermeeren; J. E. Bertuzzo (ICCE-Berlin, 2012)

High resolution stacking of seismic data. - Marcos Ricardo Covre; Tiago Barros; Renato da Rocha Lopes (EUSIPCO, 2014)

A Middleware Environment for Developing Internet of Things Applications. - César Batista; Pedro Victor Silva 001; Everton Cavalcante; Thaís Batista; Tiago Barros; Claudio Takahashi; Thiago Cardoso; João Alexandre Neto; Ramon Ribeiro (M4IoT@Middleware, 2018)

A Multi-Radio Gateway Architecture and Implementation for Consumer Electronics. - Tiago Barros; Claudio Takahashi; Vitor Aquino; Paulo Serra Filho; Ramon Ribeiro; João Alexandre Neto; César Batista; Pedro Victor Silva 001; Everton Cavalcante; Thaís Vasconcelos Batista (ICCE, 2019)

Absolute Indoor Positioning-aided Laser-based Particle Filter Localization with a Refinement Stage. - Luis Garrote 001; Tiago Barros; Ricardo Pereira; Urbano J. Nunes (IECON, 2019)

Mobile Robot Localization with Reinforcement Learning Map Update Decision aided by an Absolute Indoor Positioning System. - Luis Garrote 001; Miguel Torres; Tiago Barros; João Perdiz; Cristiano Premebida; Urbano J. Nunes (IROS, 2019)

Improving Localization by Learning Pole-Like Landmarks Using a Semi-supervised Approach. - Tiago Barros; Luis Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (ROBOT (1), 2019)

Distributed-Memory Load Balancing With Cyclic Token-Based Work-Stealing Applied to Reverse Time Migration. - Ítalo A. S. Assis; Antônio D. S. Oliveira; Tiago Barros; Idalmis M. Sardina; Calebe P. Bianchini; Samuel Xavier de Souza (IEEE Access, 2019)

Auto-tuning of dynamic load balancing applied to 3D reverse time migration on multicore systems. - Ítalo A. S. Assis; João B. Fernandes; Tiago Barros; Samuel Xavier de Souza (CoRR, 2019)

Improving Local Motion Planning with a Reinforcement Learning Approach. - Luis Garrote 001; Diogo Temporão; Samuel Temporão; Ricardo Pereira; Tiago Barros; Urbano J. Nunes (ICARSC, 2020)

CNN-based Human Detection Using a 3D LiDAR onboard a UAV. - Jack N. C. Hayton; Tiago Barros; Cristiano Premebida; Matthew Coombes; Urbano J. Nunes (ICARSC, 2020)

Deep-Learning based Global and Semantic Feature Fusion for Indoor Scene Classification. - Ricardo Pereira; Nuno Gonçalves 001; Luis Garrote 001; Tiago Barros; Ana C. Lopes; Urbano J. Nunes (ICARSC, 2020)

An Experimental Study of the Accuracy vs Inference Speed of RGB-D Object Recognition in Mobile Robotics. - Ricardo Pereira; Tiago Barros; Luis Garrote 001; Ana C. Lopes; Urbano J. Nunes (RO-MAN, 2020)

Auto-Tuning of Dynamic Scheduling Applied to 3D Reverse Time Migration on Multicore Systems. - Ítalo A. S. Assis; João B. Fernandes; Tiago Barros; Samuel Xavier de Souza (IEEE Access, 2020)

A Deep Learning-based Indoor Scene Classification Approach Enhanced with Inter-Object Distance Semantic Features. - Ricardo Pereira; Luís Garrote 001; Tiago Barros; Ana C. Lopes; Urbano J. Nunes (IROS, 2021)

AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (CoRR, 2021)

Place recognition survey: An update on deep learning approaches. - Tiago Barros; Ricardo Pereira; Luís Garrote 001; Cristiano Premebida; Urbano J. Nunes (CoRR, 2021)

Multispectral Vineyard Segmentation: A Deep Learning approach. - Tiago Barros; Pedro Conde; Gil Gonçalves 001; Cristiano Premebida; Miguel Monteiro; Carla Sofia Santos Ferreira; Urbano J. Nunes (CoRR, 2021)

AttDLNet: Attention-Based Deep Network for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Ricardo Pereira; Cristiano Premebida; Urbano J. Nunes (ROBOT (1), 2022)

Speculative guardband: exploiting critical-delay variations across cached instructions. - Johannes W. Farias; Diego V. Cirilo do Nascimento; Tiago Barros; Samuel Xavier de Souza (VLSI-SoC, 2022)

The Anatomy of IoT Platforms - A Systematic Multivocal Mapping Study. - Tiago Barros; Eronides F. Da Silva Neto; João Alexandre Neto; André G. M. De Souza; Vitor Aquino; Erico Souza Teixeira (IEEE Access, 2022)

Multispectral vineyard segmentation: A deep learning comparison study. - Tiago Barros; Pedro Conde; Gil Gonçalves 001; Cristiano Premebida; Miguel Monteiro; Carla Sofia Santos Ferreira; Urbano J. Nunes (Comput. Electron. Agric., 2022)

Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study. - Anna Severin; Michaela Strinzel; Matthias Egger; Tiago Barros; Alexander Sokolov; Julia Vilstrup Mouatt; Stefan Müller (CoRR, 2022)

ECE-based Deep Ensemble for Neural Network Calibration in Satellite Image Classification. - Pedro Conde; Tiago Barros; Cristiano Premebida; Urbano J. Nunes (ICARSC, 2023)

TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition. - Tiago Barros; Luís Garrote 001; Martin Aleksandrov; Cristiano Premebida; Urbano J. Nunes (ITSC, 2023)

Flexible Aether Slice Provisioning for 5G Enterprise Connected Edge. - Tiago Barros; Rui Silva; José Quevedo; Daniel Corujo; Rui L. Aguiar (NFV-SDN, 2023)

Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. - Nuno Cunha; Tiago Barros; Mário Reis; Tiago Marta; Cristiano Premebida; Urbano J. Nunes (ROBOT (2), 2023)

Common Requirements for IoT Platforms. - Tiago Barros; Erico Souza Teixeira (WF-IoT, 2023)

KNoT 2.0 - A Meta-Architecture for Internet of Things Platforms. - Tiago Barros; Erico Souza Teixeira (WF-IoT, 2023)

ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards. - Tiago Barros; Luis Garrote 001; Pedro Conde; Matthew Coombes; C. Liu; Cristiano Premebida; Urbano J. Nunes (CoRR, 2023)

Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks. - Pedro Conde; Tiago Barros; Rui L. Lopes; Cristiano Premebida; Urbano J. Nunes (CoRR, 2023)

SPVSoAP3D: A Second-order Average Pooling Approach to enhance 3D Place Recognition in Horticultural Environments. - Tiago Barros; Cristiano Premebida; Stéphanie Aravecchia; Cédric Pradalier; Urbano J. Nunes (IROS, 2024)

Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies. - Wilgo Cardoso; Tiago Barros; Gil Gonçalves 001; Cristiano Premebida; Urbano J. Nunes (ROBOT, 2024)

Impact of 3D LiDAR Resolution in Graph-Based SLAM Approaches: A Comparative Study. - J. Jorge; Tiago Barros; Cristiano Premebida; Martin Aleksandrov; D. Goehring; Urbano J. Nunes (ROBOT, 2024)

Adaptive Asynchronous Work-Stealing for distributed load-balancing in heterogeneous systems. - João B. Fernandes; Ítalo A. S. de Assis; Idalmis M. S. Martins; Tiago Barros; Samuel Xavier de Souza (CoRR, 2024)

Auto Tuning for OpenMP Dynamic Scheduling applied to FWI. - Felipe H. S. da Silva; João B. Fernandes; Idalmis M. Sardina; Tiago Barros; Samuel Xavier de Souza; Ítalo A. S. Assis (CoRR, 2024)

Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification. - Ricardo Pereira; Luís Garrote 001; Tiago Barros; Ana C. Lopes; Urbano J. Nunes (CoRR, 2024)

PointNetPGAP-SLC: A 3D LiDAR-based Place Recognition Approach with Segment-level Consistency Training for Mobile Robots in Horticulture. - Tiago Barros; Luís Garrote 001; Pedro Conde; Matthew Coombes; C. Liu; Cristiano Premebida; Urbano J. Nunes (CoRR, 2024)

Hyperparameter determination for GAN-based seismic interpolator with variable neighborhood search. - Daniel Nobre Pinheiro; Jaime C. Gonzalez; Gilberto Corso; Mesay Geletu Gebre; Carlos A. N. da Costa; Samuel Xavier de Souza; Tiago Barros (Comput. Geosci., 2024)

DeLIA: A Dependability Library for Iterative Applications applied to parallel geophysical problems. - Carla Santana; Ramon C. F. Araújo; Idalmis M. Sardina; Ítalo A. S. Assis; Tiago Barros; Calebe P. Bianchini; Antônio D. S. Oliveira; João Medeiros de Araujo; Hervé Chauris; Claude Tadonki; Samuel Xavier de Souza (Comput. Geosci., 2024)

A deep learning-based global and segmentation-based semantic feature fusion approach for indoor scene classification. - Ricardo Pereira; Tiago Barros; Luís Garrote 001; Ana C. Lopes; Urbano J. Nunes (Pattern Recognit. Lett., 2024)

PATSMA: Parameter Auto-tuning for Shared Memory Algorithms. - João B. Fernandes; Felipe H. S. da Silva; Tiago Barros; Ítalo A. S. Assis; Samuel Xavier de Souza (SoftwareX, 2024)

PointNetPGAP-SLC: A 3D LiDAR-Based Place Recognition Approach With Segment-Level Consistency Training for Mobile Robots in Horticulture. - Tiago Barros; Luís Garrote 001; Pedro Conde; Matthew J. Coombes; Cunjia Liu; Cristiano Premebida; Urbano J. Nunes (IEEE Robotics Autom. Lett., 2024)

Dynamic MEC Federation for AR-Based Smart Tourism: An SDN-Driven Energy Optimization Approach. - David Santos; Rui Silva; Tiago Barros; Alisson Chaves; Haoran Chi; Daniel Corujo; Rui L. Aguiar (MeditCom, 2025)

PROMORE: A Procedural Modeler of Virtual Rural Environments With Artificial Dataset Generation Capabilities for Remote Sensing Contexts. - Telmo Adão; João Cerqueira; Miguel Adão; Nuno Silva 002; David Pascoal; Luís G. Magalhães; Tiago Barros; Cristiano Premebida; Urbano J. Nunes; Emanuel Peres; Raul Morais (IEEE Access, 2025)

Real-time adaptive resource management for high-resolution computer vision over private 5G networks. - Rui Silva; Filipe Antão; David Santos; André Perdigão; Tiago Barros; Fatma Marzouk; Alisson Chaves; Daniel Corujo; Rui L. Aguiar (Comput. Networks, 2025)

Auto-Tuning for OpenMP Dynamic Scheduling applied to Full Waveform Inversion. - Felipe H. Santos-da-Silva; João B. Fernandes; Idalmis M. Sardina; Tiago Barros; Samuel Xavier de Souza; Ítalo A. S. Assis (Comput. Geosci., 2025)

Mamute: high-performance computing for geophysical methods. - João B. Fernandes; Antônio D. S. Oliveira; Mateus C. A. T. Silva; Felipe H. Santos-da-Silva; Vitor Hugo Mickus Rodrigues; Kleiton A. Schneider; Calebe P. Bianchini; João Medeiros de Araujo; Tiago Barros; Ítalo A. S. Assis; Samuel Xavier de Souza (CoRR, 2025)