André Eugênio Lazzaretti

Orcid: 0000-0003-1861-3369

Affiliations:
  • Institute of Technology for Development, Curitiba, Brazil


According to our database1, André Eugênio Lazzaretti authored at least 38 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues.
Neural Comput. Appl., August, 2024

Sliding Window, Hierarchical Classification, Regression, and Genetic Algorithm for RFID Indoor Positioning Systems.
Expert Syst. Appl., March, 2024

A Prototypical Metric Learning Approach for Open-Set Semantic Segmentation on Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations.
CoRR, 2024

An industrial edge computing architecture for Local Digital Twin.
Comput. Ind. Eng., 2024

Open-Set Tattoo Semantic Segmentation.
IEEE Access, 2024

LoHi-WELD: A Novel Industrial Dataset for Weld Defect Detection and Classification, a Deep Learning Study, and Future Perspectives.
IEEE Access, 2024

2023
Unsupervised open-world human action recognition.
Pattern Anal. Appl., November, 2023

Energy-Aware IoT-Based Method for a Hybrid On-Wrist Fall Detection System Using a Supervised Dictionary Learning Technique.
Sensors, April, 2023

Notification Oriented Paradigm to Digital Hardware - A benchmark evaluation with Random Forest algorithm.
Microprocess. Microsystems, 2023

An Evaluation of Image Preprocessing in Skin Lesions Detection.
Proceedings of the Optimization, Learning Algorithms and Applications, 2023

Recognition, location, and depth estimation of objects in electrical substations.
Proceedings of the Latin American Robotics Symposium, 2023

2022
The Impact of PMU Data Precision and Accuracy on Event Classification in Distribution Systems.
IEEE Trans. Smart Grid, 2022

AGV Detection in Industrial Environments through Computer Vision.
Proceedings of the Latin American Robotics Symposium, 2022

On-wrist Based Datasets Exploration for an IoT Wearable Fall Detection.
Proceedings of the Advances in Computational Collective Intelligence, 2022

2021
Deep metric learning for open-set human action recognition in videos.
Neural Comput. Appl., 2021

Incremental human action recognition with dual memory.
Image Vis. Comput., 2021

A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection.
Int. J. Pattern Recognit. Artif. Intell., 2021

EEG-FES-Force-MMG closed-loop control systems of a volunteer with paraplegia considering motor imagery with fatigue recognition and automatic shut-off.
Biomed. Signal Process. Control., 2021

OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario.
IEEE Access, 2021

Drift Detection e Machine Learning para Sistemas de Localização indoor RFID em Ambientes Dinâmicos.
Proceedings of the 39th Brazilian Symposium on Computer Networks and Distributed Systems, 2021

A Sparse Representation Classification for Noise Robust Wrist-based Fall Detection.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants.
Sensors, 2020

Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach.
Biomed. Signal Process. Control., 2020

One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding.
IEEE Access, 2020

A Novel On-Wrist Fall Detection System Using Supervised Dictionary Learning Technique.
Proceedings of the Impact of Digital Technologies on Public Health in Developed and Developing Countries, 2020

2019
One-millisecond low-cost synchronization of wireless sensor network.
Proceedings of the IX Brazilian Symposium on Computing Systems Engineering, 2019

Classifier for motor imagery during parametric functional electrical stimulation frequencies on the quadriceps muscle<sup>*</sup>.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018
A study of deep convolutional auto-encoders for anomaly detection in videos.
Pattern Recognit. Lett., 2018

Designing a Novel Dataset for Non-intrusive Load Monitoring.
Proceedings of the VIII Brazilian Symposium on Computing Systems Engineering, 2018

Feature Selection Using Differential Evolution for Unsupervised Image Clustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Non-Intrusive Load Monitoring: A Multi-Agent Architecture and Results.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

Automatic Power Signature Analysis using Prony's Method and Machine Learning-Based Classifiers.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

2017
A clustering-based deep autoencoder for one-class image classification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

2016
Novelty detection and multi-class classification in power distribution voltage waveforms.
Expert Syst. Appl., 2016

2015
An Adaptive Radial Basis Function Kernel for Support Vector Data Description.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Product Development Model Oriented for R&D Projects of the Brazilian Electricity Sector - MOR&D: A Case Study.
Proceedings of the Transdisciplinary Lifecycle Analysis of Systems, 2015


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