Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems. - Christopher Dahlin Rodin; Luciano Netto de Lima; Fabio Augusto de Alcantara Andrade; Diego Barreto Haddad; Tor Arne Johansen; Rune Storvold (IJCNN, 2018)

Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control. - Fabio Augusto de Alcantara Andrade; Anthony Hovenburg; Luciano Netto de Lima; Christopher Dahlin Rodin; Tor Arne Johansen; Rune Storvold; Carlos A. M. Correia; Diego Barreto Haddad (Sensors, 2019)

A Survey of Practical Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems. - Christopher Dahlin Rodin; Fabio Augusto de Alcantara Andrade; Anthony Reinier Hovenburg; Tor Arne Johansen (Sensors, 2019)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications. - Carlos A. M. Correia; Fabio Augusto de Alcantara Andrade; Agnar Sivertsen; Ihannah Pinto Guedes; Milena Faria Pinto; Aline Gesualdi Manhães; Diego Barreto Haddad (Sensors, 2022)

Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers. - Aurelio G. Melo; Fabio Augusto de Alcantara Andrade; Ihannah Pinto Guedes; Guilherme F. Carvalho; Alessandro R. L. Zachi; Milena F. Pinto (Sensors, 2022)

Empowering Search and Rescue Operations with Big Data Technology: A Comprehensive Study of YOLOv8 Transfer Learning for Transportation Safety. - Luciano Netto de Lima; Fabio Augusto de Alcantara Andrade; Youcef Djenouri; Carlos Pfeiffer; Marcos Moura (IEEE Big Data, 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

A Novel Framework to Evaluate and Train Object Detection Models for Real-Time Victims Search and Rescue at Sea with Autonomous Unmanned Aerial Systems Using High-Fidelity Dynamic Marine Simulation Environment. - Rajeev Poudel; Luciano Netto de Lima; Fabio Augusto de Alcantara Andrade (WACV (Workshops), 2023)

Revolutionizing Personal Recommendations via Federated Contrastive Transformer Learning. - Youcef Djenouri; Fabio Augusto de Alcantara Andrade; Gautam Srivastava 001; Ahmed Nabil Belbachir (IPDPS (Workshops), 2024)

Autonomous UAV Exploration and Mapping in Uncharted Terrain Through Boundary-Driven Strategy. - Fabrício O. Coelho; Milena Faria Pinto; Iago Z. Biundini; Gabriel G. R. Castro; Fabio Augusto de Alcantara Andrade; André Luís Marques Marcato (IEEE Access, 2024)

ARCog-NET: An Aerial Robot Cognitive Network Architecture for Swarm Applications Development. - Gabryel Silva Ramos; Felipe da Rocha Henriques; Diego B. Haddad; Fabio Augusto de Alcantara Andrade; Milena F. Pinto (IEEE Access, 2024)

Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm. - José V. G. de Souza; Felipe da Rocha Henriques; Newton N. Siqueira; Luís Tarrataca; Fabio Augusto de Alcantara Andrade; Diego B. Haddad (IEEE Access, 2024)

Federated Constrastive Learning and Visual Transformers for Personal Recommendation. - Asma Belhadi; Youcef Djenouri; Fabio Augusto de Alcantara Andrade; Gautam Srivastava 001 (Cogn. Comput., 2024)

A Hybrid Deep Learning-Based Approach in Agricultural Sustainability: Apple Orchard Study. - Amin Mavaddat; Fabio A. A. Andrade; Karl Thomas Hjelmervik; Erik Andrew Johannessen; Christian Hovden (AICCONF, 2025)

Cooperative Multi-Modal Robots For Autonomous Coverage Path Planning. - Lluis Prior Sancho; Fabio Augusto de Alcantara Andrade (ECMS, 2025)

Optimizing Object Detection for Maritime Search and Rescue: Progressive Fine-Tuning of YOLOv9 with Real and Synthetic Data. - Luciano Netto de Lima; Fabio Augusto de Alcantara Andrade; Youcef Djenouri; Carlos Pfeiffer; Marcos Moura (ICAART (3), 2025)

Analysis and Control of Ball Displacement in Air Levitation Experiment by Using a Disturbance Rejection-Based Technique. - Alessandro R. L. Zachi; Josiel A. Gouvea; Carlos A. M. Correia; Milena F. Pinto; Mariane R. Petraglia; Diego B. Haddad; Fabio Augusto de Alcantara Andrade (IEEE Access, 2025)

A novel stochastic model for the steady-state performance of norm-penalized adaptive algorithms. - Lucas Paiva R. da Silva; Fabio A. A. Andrade; Milena F. Pinto; Gilson A. Giraldi; Diego Barreto Haddad (Digit. Signal Process., 2025)

Collaborative Inspection of Solar Panel Farms Using YOLOv5-Based Computer Vision and UGV-UAV Integration. - Johann S. J. C. C. Amorim; Accacio F. S. Neto; Rafael S. Chaves; Alessandro R. L. Zachi; Josiel A. Gouvea; Fabio Augusto de Alcantara Andrade; Milena F. Pinto (J. Intell. Robotic Syst., 2025)

A Novel Stochastic Stability Model for the Coefficient Reusing LMS Algorithm. - Leonardo C. Resende; Fabio Augusto de Alcantara Andrade; Diego Barreto Haddad; Mariane R. Petraglia (Telecommun. Syst., 2025)

Predicting faults in diesel engines with kernel machines regression techniques. - Denys Pestana-Viana; Dionísio H. C. S. S. Martins; Diego B. Haddad; Fabrício Lopes e Silva; Milena F. Pinto; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Luiz A. P. Vaz; Thiago de M. Prego; Fabio A. A. Andrade; Luís Tarrataca; Amaro A. de Lima (Appl. Intell., 2025)