| A study of deep convolutional auto-encoders for anomaly detection in videos M Ribeiro, AE Lazzaretti, HS Lopes Pattern Recognition Letters 105, 13-22, 2018 | 332 | 2018 |
| A movement decomposition and machine learning-based fall detection system using wrist wearable device T De Quadros, AE Lazzaretti, FK Schneider IEEE Sensors Journal 18 (12), 5082-5089, 2018 | 161 | 2018 |
| Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach JJAM Junior, MLB Freitas, HV Siqueira, AE Lazzaretti, SF Pichorim, ... Biomedical Signal Processing and Control 59, 101920, 2020 | 71 | 2020 |
| A monitoring system for online fault detection and classification in photovoltaic plants AE Lazzaretti, CH Costa, MP Rodrigues, GD Yamada, G Lexinoski, ... Sensors 20 (17), 4688, 2020 | 68 | 2020 |
| Novelty detection and multi-class classification in power distribution voltage waveforms AE Lazzaretti, DMJ Tax, HV Neto, VH Ferreira Expert Systems with Applications 45, 322-330, 2016 | 67 | 2016 |
| A dataset for non-intrusive load monitoring: Design and implementation DPB Renaux, F Pottker, HC Ancelmo, AE Lazzaretti, CRE Lima, ... Energies 13 (20), 5371, 2020 | 37 | 2020 |
| Detection of video anomalies using convolutional autoencoders and one-class support vector machines M Gutoski, NMR Aquino, M Ribeiro, E Lazzaretti, HS Lopes XIII Brazilian congress on computational intelligence 2017, 2017 | 36 | 2017 |
| Classification of weeds and crops at the pixel-level using convolutional neural networks and data augmentation A Brilhador, M Gutoski, LT Hattori, A de Souza Inácio, AE Lazzaretti, ... 2019 IEEE latin american conference on computational intelligence (LA-CCI), 1-6, 2019 | 33 | 2019 |
| DeepDFML-NILM: A new CNN-based architecture for detection, feature extraction and multi-label classification in NILM signals L da Silva Nolasco, AE Lazzaretti, BM Mulinari IEEE sensors journal 22 (1), 501-509, 2021 | 32 | 2021 |
| A new set of steady-state and transient features for power signature analysis based on VI trajectory BM Mulinari, DP de Campos, CH da Costa, HC Ancelmo, AE Lazzaretti, ... 2019 IEEE PES Innovative Smart Grid Technologies Conference-Latin America …, 2019 | 28 | 2019 |
| A clustering-based deep autoencoder for one-class image classification M Gutoski, M Ribeiro, NMR Aquino, AE Lazzaretti, HS Lopes 2017 IEEE Latin American conference on computational intelligence (LA-CCI), 1-6, 2017 | 25 | 2017 |
| A comparison of machine learning-based methods for fault classification in photovoltaic systems CH da Costa, GL Moritz, AE Lazzaretti, BM Mulinari, HC Ancelmo, ... 2019 IEEE PES Innovative Smart Grid Technologies Conference-Latin America …, 2019 | 24 | 2019 |
| Two-phase flow pattern classification based on void fraction time series and machine learning J dos Santos Ambrosio, AE Lazzaretti, DR Pipa, MJ da Silva Flow Measurement and Instrumentation 83, 102084, 2022 | 20 | 2022 |
| A multi-agent NILM architecture for event detection and load classification AE Lazzaretti, DPB Renaux, CRE Lima, BM Mulinari, HC Ancelmo, ... Energies 13 (17), 4396, 2020 | 20 | 2020 |
| Comparative analysis among feature selection of sEMG signal for hand gesture classification by armband JJAM Junior, M Freitas, H Siqueira, AE Lazzaretti, S Stevan, SF Pichorim IEEE Latin America Transactions 18 (06), 1135-1143, 2020 | 20 | 2020 |
| Designing a novel dataset for non-intrusive load monitoring D Renaux, R Linhares, F Pottker, A Lazzaretti, C Lima, AC Neto, ... 2018 VIII Brazilian Symposium on Computing Systems Engineering (SBESC), 243-249, 2018 | 20 | 2018 |
| A synchrophasor test platform for development and assessment of phasor measurement units FL Grando, AE Lazzaretti, GW Denardin, M Moreto, HV Neto IEEE Transactions on Industry Applications 54 (4), 3122-3131, 2018 | 20 | 2018 |
| Clustering and hierarchical classification for high-precision RFID indoor location systems EL Gomes, M Fonseca, AE Lazzaretti, A Munaretto, C Guerber IEEE Sensors Journal 22 (6), 5141-5149, 2021 | 19 | 2021 |
| Deep metric learning for open-set human action recognition in videos M Gutoski, AE Lazzaretti, HS Lopes Neural Computing and Applications 33 (4), 1207-1220, 2021 | 19 | 2021 |
| One-class classification in images and videos using a convolutional autoencoder with compact embedding M Ribeiro, M Gutoski, AE Lazzaretti, HS Lopes IEEE Access 8, 86520-86535, 2020 | 18 | 2020 |
