Product Development Model Oriented for R&D Projects of the Brazilian Electricity Sector - MOR&D: A Case Study. - João Adalberto Pereira; Osíris Canciglieri Júnior; André Eugênio Lazzaretti (CE, 2015)

An Adaptive Radial Basis Function Kernel for Support Vector Data Description. - André Eugênio Lazzaretti; David M. J. Tax (SIMBAD, 2015)

Novelty detection and multi-class classification in power distribution voltage waveforms. - André Eugênio Lazzaretti; David Martinus Johannes Tax; Hugo Vieira Neto; Vitor Hugo Ferreira (Expert Syst. Appl., 2016)

A clustering-based deep autoencoder for one-class image classification. - Matheus Gutoski; Manassés Ribeiro; Nelson Marcelo Romero Aquino; André Eugênio Lazzaretti; Heitor Silvério Lopes (LA-CCI, 2017)

Automatic Power Signature Analysis using Prony's Method and Machine Learning-Based Classifiers. - Hellen Cristina Ancelmo; Flavio L. Grando; Clayton Hilgemberg da Costa; Bruna Machado Mulinari; Elder Oroski; André Eugênio Lazzaretti; Fabiana Pöttker; Douglas P. B. Renaux (EECS, 2018)

Non-Intrusive Load Monitoring: A Multi-Agent Architecture and Results. - Fabiana Pöttker; André Eugênio Lazzaretti; Douglas P. B. Renaux; Robson Ribeiro Linhares; Carlos Raimundo Erig Lima; Hellen Cristina Ancelmo; Bruna Machado Mulinari (EECS, 2018)

Feature Selection Using Differential Evolution for Unsupervised Image Clustering. - Matheus Gutoski; Manassés Ribeiro; Nelson Marcelo Romero Aquino; Leandro Takeshi F. Hattori; André Eugênio Lazzaretti; Heitor Silvério Lopes (ICAISC (1), 2018)

Designing a Novel Dataset for Non-intrusive Load Monitoring. - Douglas P. B. Renaux; Robson Ribeiro Linhares; Fabiana Pöttker; André Eugênio Lazzaretti; Carlos Raimundo Erig Lima; Adil Coelho Neto; Mateus Campaner (SBESC, 2018)

A study of deep convolutional auto-encoders for anomaly detection in videos. - Manassés Ribeiro; André Eugênio Lazzaretti; Heitor Silvério Lopes (Pattern Recognit. Lett., 2018)

Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation. - Anderson Brilhador; Matheus Gutoski; Leandro Takeshi Hattori; Andrei de Souza Inácio; André Eugênio Lazzaretti; Heitor Silvério Lopes (LA-CCI, 2019)

Classifier for motor imagery during parametric functional electrical stimulation frequencies on the quadriceps muscle*. - Paulo Broniera Junior; Willian R. B. M. Nunes; André Eugênio Lazzaretti; Percy Nohama; Aparecido Augusto de Carvalho; Eddy Krueger; Marcelo Carvalho Minhoto Teixeira (NER, 2019)

One-millisecond low-cost synchronization of wireless sensor network. - Robson Ribeiro Linhares; Carlos Raimundo Erig Lima; Douglas P. B. Renaux; Fabiana Pöttker; Elder Oroski; André Eugênio Lazzaretti; Bruna Machado Mulinari; Hellen Cristina Ancelmo; Adriano Gamba; Luiz A. Bernardi; Lucas T. Lima (SBESC, 2019)

A Novel On-Wrist Fall Detection System Using Supervised Dictionary Learning Technique. - Farah Othmen; Mouna Baklouti; André Eugênio Lazzaretti; Marwa Jmal; Mohamed Abid (ICOST, 2020)

One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding. - Manassés Ribeiro; Matheus Gutoski; André Eugênio Lazzaretti; Heitor S. Lopes (IEEE Access, 2020)

Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach. - José Jair Alves Mendes Junior; Melissa La Banca Freitas; Hugo Valadares Siqueira; André Eugênio Lazzaretti; Sérgio Francisco Pichorim; Sergio Luiz Stevan Jr. (Biomed. Signal Process. Control., 2020)

A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants. - André Eugênio Lazzaretti; Clayton Hilgemberg da Costa; Marcelo Paludetto Rodrigues; Guilherme Dan Yamada; Gilberto Lexinoski; Guilherme Luiz Moritz; Elder Oroski; Rafael Eleodoro De Góes; Robson Ribeiro Linhares; Paulo Cézar Stadzisz; Julio Shigeaki Omori; Rodrigo Braun dos Santos (Sensors, 2020)

A Sparse Representation Classification for Noise Robust Wrist-based Fall Detection. - Farah Othmen; André Eugênio Lazzaretti; Mouna Baklouti; Marwa Jmal; Mohamed Abid (HEALTHINF, 2021)

Drift Detection e Machine Learning para Sistemas de Localização indoor RFID em Ambientes Dinâmicos. - Eduardo Luis Gomes; Mauro Fonseca; André Eugênio Lazzaretti; Carlos Rafael Guerber; Anelise Munaretto (SBRC, 2021)

OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario. - Andrei de Souza Inácio; Matheus Gutoski; André Eugênio Lazzaretti; Heitor Silvério Lopes (IEEE Access, 2021)

EEG-FES-Force-MMG closed-loop control systems of a volunteer with paraplegia considering motor imagery with fatigue recognition and automatic shut-off. - Paulo Broniera Junior; Daniel Prado Campos; André Eugênio Lazzaretti; Percy Nohama; Aparecido Augusto de Carvalho; Eddy Krueger; Marcelo Carvalho Minhoto Teixeira (Biomed. Signal Process. Control., 2021)

A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection. - Matheus Gutoski; Manassés Ribeiro; Leandro Takeshi Hattori; Nelson Marcelo Romero Aquino; André Eugênio Lazzaretti; Heitor S. Lopes (Int. J. Pattern Recognit. Artif. Intell., 2021)

Incremental human action recognition with dual memory. - Matheus Gutoski; André Eugênio Lazzaretti; Heitor Silvério Lopes (Image Vis. Comput., 2021)

Deep metric learning for open-set human action recognition in videos. - Matheus Gutoski; André Eugênio Lazzaretti; Heitor Silvério Lopes (Neural Comput. Appl., 2021)

On-wrist Based Datasets Exploration for an IoT Wearable Fall Detection. - Farah Othmen; Mouna Baklouti; André Eugênio Lazzaretti (ICCCI (CCIS Volume), 2022)

AGV Detection in Industrial Environments through Computer Vision. - Wilson Eduardo Barioni; Igor Pardal Latini; André Eugênio Lazzaretti; Marco Teixeira 001; Flávio Neves; Lúcia Valéria Ramos de Arruda (LARS/SBR/WRE, 2022)

The Impact of PMU Data Precision and Accuracy on Event Classification in Distribution Systems. - Flavio L. Grando; André Eugênio Lazzaretti; Miguel Moreto (IEEE Trans. Smart Grid, 2022)

Recognition, location, and depth estimation of objects in electrical substations. - Gilberto Lexinoski; Marco Antônio Simões Teixeira; André Eugênio Lazzaretti; Luiz F. R. B. Toledo; Heitor S. Lopes; Gustavo Horta Travassos; Mario Jambeiro Fonseca (LARS/SBR/WRE, 2023)

An Evaluation of Image Preprocessing in Skin Lesions Detection. - Giuliana M. Silva; André Eugênio Lazzaretti; Fernando C. Monteiro (OL2A (2), 2023)

Notification Oriented Paradigm to Digital Hardware - A benchmark evaluation with Random Forest algorithm. - Leonardo Faix Pordeus; André Eugênio Lazzaretti; Robson Ribeiro Linhares; Jean Marcelo Simão (Microprocess. Microsystems, 2023)

Energy-Aware IoT-Based Method for a Hybrid On-Wrist Fall Detection System Using a Supervised Dictionary Learning Technique. - Farah Othmen; Mouna Baklouti; André Eugênio Lazzaretti; Monia Hamdi (Sensors, 2023)

Unsupervised open-world human action recognition. - Matheus Gutoski; André Eugênio Lazzaretti; Heitor Silvério Lopes (Pattern Anal. Appl., 2023)

Pipelines Leak Localization Through Acoustic Emission and Deep Learning. - Felipe Messias Priotto; Diego Siedel Bertolini; José Jair Alves Mendes Junior; André Eugênio Lazzaretti; Lúcia Valéria Ramos de Arruda; Raphael Marinho Teixeira (IEEE SENSORS, 2024)

LoHi-WELD: A Novel Industrial Dataset for Weld Defect Detection and Classification, a Deep Learning Study, and Future Perspectives. - Sylvio Biasuz Block; Ricardo Dutra da Silva; André Eugênio Lazzaretti; Rodrigo Minetto (IEEE Access, 2024)

Open-Set Tattoo Semantic Segmentation. - Anderson Brilhador; Rodrigo Tchalski da Silva; Carlos Roberto Modinez-Junior; Gabriel de Almeida Spadafora; Heitor Silvério Lopes; André Eugênio Lazzaretti (IEEE Access, 2024)

An industrial edge computing architecture for Local Digital Twin. - Ricardo Eiji Kondo; Willian Jeferson Andrade; Clayton de Mello Henequim; André Eugênio Lazzaretti; Alceu de Souza Britto Jr.; Eduardo de Freitas Rocha Loures; Eduardo Alves Portela Santos; Gilberto Reynoso-Meza (Comput. Ind. Eng., 2024)

Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations. - Giovanni Braglia; Davide Tebaldi; André Eugênio Lazzaretti; Luigi Biagiotti (CoRR, 2024)

A Prototypical Metric Learning Approach for Open-Set Semantic Segmentation on Remote Sensing Images. - Anderson Brilhador; André Eugênio Lazzaretti; Heitor Silvério Lopes (IEEE Trans. Geosci. Remote. Sens., 2024)

Sliding Window, Hierarchical Classification, Regression, and Genetic Algorithm for RFID Indoor Positioning Systems. - Eduardo Luis Gomes; Mauro Sérgio Pereira Fonseca; André Eugênio Lazzaretti; Anelise Munaretto; Carlos Rafael Guerber (Expert Syst. Appl., 2024)

High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues. - Dionatan A. G. Cieslak; Miguel Moreto; André Eugênio Lazzaretti; José R. Macedo-Júnior (Neural Comput. Appl., 2024)

A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis. - Jefferson Dos Santos Ambrosio; Marco José da Silva; André Eugênio Lazzaretti (IEEE Access, 2025)

Comparative Analysis of Reinforcement Learning and Rule-Based System Approaches for Irrigation in Horticulture. - Gabrielly de Queiroz Pereira; Douglas Paulo Bertrand Renaux; André Eugênio Lazzaretti (IEEE Access, 2025)