Andre Eugenio Lazzaretti
Andre Eugenio Lazzaretti
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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
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
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
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
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
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
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
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
An accurate approach for automatic segmentation of power distribution voltage waveforms
AE Lazzaretti, HV Neto, VH Ferreira
IEEE Transactions on Power Delivery 30 (3), 1611-1619, 2015
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
An integrated monitoring system and automatic data analysis to correlate lightning activity and faults on distribution networks
AE Lazzaretti, SLF Santos, KK Küster, LFRB Toledo, MA Ravaglio, ...
Electric Power Systems Research 153, 66-72, 2017
A new approach for event classification and novelty detection in power distribution networks
AE Lazzaretti, VH Ferreira, HV Neto, LFRB Toledo, CLS Pinto
2013 IEEE Power & Energy Society General Meeting, 1-5, 2013
Classification of events in distribution networks using autonomous neural models
AE Lazzaretti, VH Ferreira, HV Neto, RJ Riella, J Omori
2009 15th International Conference on Intelligent System Applications to …, 2009
Measurements of lightning discharges in overhead distribution feeders
AE Lazzaretti, MA Ravaglio, LFRB Toledo, JA Teixeira, PEM Rojas, ...
2011 International Symposium on Lightning Protection, 188-193, 2011
Autonomous neural models for the classification of events in power distribution networks
AE Lazzaretti, VH Ferreira, HV Neto, RJ Riella, JS Omori
Journal of Control, Automation and Electrical Systems 24 (5), 612-622, 2013
Non-Intrusive Load Monitoring: an Architecture and its evaluation for Power Electronics loads
DPB Renaux, CRE Lima, F Pöttker, E Oroski, AE Lazzaretti, RR Linhares, ...
2018 IEEE International Power Electronics and Application Conference and …, 2018
Focus of expansion estimation for motion segmentation from a single camera
JR Kuiaski, AE Lazzaretti, HV Neto
Pessoal. Utfpr. Edu. Br, 272-277, 2011
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
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
New trends in power quality event analysis: novelty detection and unsupervised classification
AE Lazzaretti, VH Ferreira, HV Neto
Journal of Control, Automation and Electrical Systems 27 (6), 718-727, 2016
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