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André Eugênio Lazzaretti
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- affiliation: Institute of Technology for Development, Curitiba, Brazil
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2020 – today
- 2024
- [j20]Sylvio Biasuz Block
, Ricardo Dutra da Silva
LoHi-WELD: A Novel Industrial Dataset for Weld Defect Detection and Classification, a Deep Learning Study, and Future Perspectives. IEEE Access 12: 77442-77453 (2024) - [j19]Anderson Brilhador
Open-Set Tattoo Semantic Segmentation. IEEE Access 12: 107181-107200 (2024) - [j18]Ricardo Eiji Kondo
An industrial edge computing architecture for Local Digital Twin. Comput. Ind. Eng. 193: 110257 (2024) - [j17]Eduardo Luis Gomes
Sliding Window, Hierarchical Classification, Regression, and Genetic Algorithm for RFID Indoor Positioning Systems. Expert Syst. Appl. 238(Part E): 122298 (2024) - [j16]Dionatan A. G. Cieslak
High impedance fault classification in microgrids using a transformer-based model with time series harmonic synchrophasors under data quality issues. Neural Comput. Appl. 36(23): 14017-14034 (2024) - [j15]Anderson Brilhador
A Prototypical Metric Learning Approach for Open-Set Semantic Segmentation on Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i1]Giovanni Braglia, Davide Tebaldi, André Eugênio Lazzaretti, Luigi Biagiotti:
Arc-Length-Based Warping for Robot Skill Synthesis from Multiple Demonstrations. CoRR abs/2410.13322 (2024) - 2023
- [j14]Leonardo Faix Pordeus, André Eugênio Lazzaretti
Notification Oriented Paradigm to Digital Hardware - A benchmark evaluation with Random Forest algorithm. Microprocess. Microsystems 103: 104951 (2023) - [j13]Matheus Gutoski, André Eugênio Lazzaretti
Unsupervised open-world human action recognition. Pattern Anal. Appl. 26(4): 1753-1770 (2023) - [j12]Farah Othmen
Energy-Aware IoT-Based Method for a Hybrid On-Wrist Fall Detection System Using a Supervised Dictionary Learning Technique. Sensors 23(7): 3567 (2023) - [c17]Gilberto Lexinoski, Marco Antônio Simões Teixeira, André Eugênio Lazzaretti, Luiz F. R. B. Toledo, Heitor S. Lopes, Gustavo Horta Travassos, Mario Jambeiro Fonseca:
Recognition, location, and depth estimation of objects in electrical substations. LARS/SBR/WRE 2023: 427-432 - [c16]Giuliana M. Silva
An Evaluation of Image Preprocessing in Skin Lesions Detection. OL2A (2) 2023: 35-49 - 2022
- [j11]Flavio L. Grando
The Impact of PMU Data Precision and Accuracy on Event Classification in Distribution Systems. IEEE Trans. Smart Grid 13(2): 1372-1382 (2022) - [c15]Farah Othmen
On-wrist Based Datasets Exploration for an IoT Wearable Fall Detection. ICCCI (CCIS Volume) 2022: 501-514 - [c14]Wilson Eduardo Barioni, Igor Pardal Latini, André Eugênio Lazzaretti, Marco Teixeira, Flávio Neves, Lúcia Valéria Ramos de Arruda:
AGV Detection in Industrial Environments through Computer Vision. LARS/SBR/WRE 2022: 1-6 - 2021
- [j10]Andrei de Souza Inácio
OSVidCap: A Framework for the Simultaneous Recognition and Description of Concurrent Actions in Videos in an Open-Set Scenario. IEEE Access 9: 137029-137041 (2021) - [j9]Paulo Broniera Junior
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. 68: 102662 (2021) - [j8]Matheus Gutoski
A Comparative Study of Transfer Learning Approaches for Video Anomaly Detection. Int. J. Pattern Recognit. Artif. Intell. 35(5): 2152003:1-2152003:27 (2021) - [j7]Matheus Gutoski
Incremental human action recognition with dual memory. Image Vis. Comput. 116: 104313 (2021) - [j6]Matheus Gutoski
Deep metric learning for open-set human action recognition in videos. Neural Comput. Appl. 33(4): 1207-1220 (2021) - [c13]Farah Othmen, André Eugênio Lazzaretti, Mouna Baklouti, Marwa Jmal, Mohamed Abid:
A Sparse Representation Classification for Noise Robust Wrist-based Fall Detection. HEALTHINF 2021: 409-416 - [c12]Eduardo Luis Gomes, Mauro Fonseca, André Eugênio Lazzaretti, Carlos Rafael Guerber, Anelise Munaretto:
Drift Detection e Machine Learning para Sistemas de Localização indoor RFID em Ambientes Dinâmicos. SBRC 2021: 224-237 - 2020
- [j5]Manassés Ribeiro, Matheus Gutoski
One-Class Classification in Images and Videos Using a Convolutional Autoencoder With Compact Embedding. IEEE Access 8: 86520-86535 (2020) - [j4]José Jair Alves Mendes Junior
Feature selection and dimensionality reduction: An extensive comparison in hand gesture classification by sEMG in eight channels armband approach. Biomed. Signal Process. Control. 59: 101920 (2020) - [j3]André Eugênio Lazzaretti
A Monitoring System for Online Fault Detection and Classification in Photovoltaic Plants. Sensors 20(17): 4688 (2020) - [c11]Farah Othmen, Mouna Baklouti, André Eugênio Lazzaretti
A Novel On-Wrist Fall Detection System Using Supervised Dictionary Learning Technique. ICOST 2020: 184-196
2010 – 2019
- 2019
- [c10]Anderson Brilhador, Matheus Gutoski
Classification of Weeds and Crops at the Pixel-Level Using Convolutional Neural Networks and Data Augmentation. LA-CCI 2019: 1-6 - [c9]Paulo Broniera Junior
Classifier for motor imagery during parametric functional electrical stimulation frequencies on the quadriceps muscle*. NER 2019: 526-529 - [c8]Robson Ribeiro Linhares, Carlos Raimundo Erig Lima, Douglas P. B. Renaux, Fabiana Pöttker, Elder Oroski
One-millisecond low-cost synchronization of wireless sensor network. SBESC 2019: 1-8 - 2018
- [j2]Manassés Ribeiro, André Eugênio Lazzaretti
A study of deep convolutional auto-encoders for anomaly detection in videos. Pattern Recognit. Lett. 105: 13-22 (2018) - [c7]Hellen Cristina Ancelmo, Flavio L. Grando
Automatic Power Signature Analysis using Prony's Method and Machine Learning-Based Classifiers. EECS 2018: 65-70 - [c6]Fabiana Pöttker, André Eugênio Lazzaretti
Non-Intrusive Load Monitoring: A Multi-Agent Architecture and Results. EECS 2018: 328-334 - [c5]Matheus Gutoski
Feature Selection Using Differential Evolution for Unsupervised Image Clustering. ICAISC (1) 2018: 376-385 - [c4]Douglas P. B. Renaux, Robson Ribeiro Linhares, Fabiana Pöttker, André Eugênio Lazzaretti
Designing a Novel Dataset for Non-intrusive Load Monitoring. SBESC 2018: 243-249 - 2017
- [c3]Matheus Gutoski
A clustering-based deep autoencoder for one-class image classification. LA-CCI 2017: 1-6 - 2016
- [j1]André Eugênio Lazzaretti
Novelty detection and multi-class classification in power distribution voltage waveforms. Expert Syst. Appl. 45: 322-330 (2016) - 2015
- [c2]João Adalberto Pereira, Osíris Canciglieri Júnior, André Eugênio Lazzaretti
Product Development Model Oriented for R&D Projects of the Brazilian Electricity Sector - MOR&D: A Case Study. CE 2015: 239-248 - [c1]André Eugênio Lazzaretti
An Adaptive Radial Basis Function Kernel for Support Vector Data Description. SIMBAD 2015: 103-116
Coauthor Index
aka: Heitor S. Lopes
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