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ORCIDJosé Manoel de Seixas
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2020 – today
- 2024
[j11]Rigel Procópio Fernandes
, José Antonio Apolinário, José Manoel de Seixas:
A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum. Sensors 24(7): 2344 (2024)- 2023
- [j10]M. V. Araújo, M. Begalli, W. S. Freund, G. I. Gonçalves, M. Khandoga, B. Laforge, A. Leopold, J. L. Marin, B. S.-M. Peralva, João V. F. Pinto, M. S. Santos, José Manoel de Seixas, Eduardo F. Simas Filho, Edmar Egidio Purcino de Souza:
Lorenzetti Showers - A general-purpose framework for supporting signal reconstruction and triggering with calorimeters. Comput. Phys. Commun. 286: 108671 (2023) - 2022
- [j9]Júlio de Castro Vargas Fernandes, Natanael Nunes de Moura Junior, José Manoel de Seixas:
Deep Learning Models for Passive Sonar Signal Classification of Military Data. Remote. Sens. 14(11): 2648 (2022) - [c39]Marlon Jovenil de Souza, Natanael Nunes de Moura Junior, José Manoel de Seixas:
Passive Sonar Classification Using Time-Domain Information and Recurrent Neural Networks. LA-CCI 2022: 1-6
2010 – 2019
- 2019
- [j8]José Dilermando Costa Junior, José Manoel de Seixas, Antônio Maurício Ferreira Leite Miranda de Sá:
A template subtraction method for reducing electrocardiographic artifacts in EMG signals of low intensity. Biomed. Signal Process. Control. 47: 380-386 (2019) - 2018
- [j7]Ricardo de A. Araújo, Nadia Nedjah, José Manoel de Seixas, Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
Evolutionary-morphological learning machines for high-frequency financial time series prediction. Swarm Evol. Comput. 42: 1-15 (2018) - [c38]Vinicius dos Santos Mello, Natanael Nunes de Moura Junior, José Manoel de Seixas:
Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders. IJCNN 2018: 1-7 - [c37]Gilberto M. Xavier, José Manoel de Seixas:
Fault Detection and Diagnosis in a Chemical Process using Long Short-Term Memory Recurrent Neural Network. IJCNN 2018: 1-8 - 2017
- [j6]L. H. R. A. Évora, José Manoel de Seixas, Afrânio Lineu Kritski:
Neural network models for supporting drug and multidrug resistant tuberculosis screening diagnosis. Neurocomputing 265: 116-126 (2017) - [c36]Natanael Nunes de Moura Junior, José Manoel de Seixas:
Novelty detection in passive sonar systems using a kernel approach. ICNC-FSKD 2017: 116-122 - 2016
- [j5]Fábio Silva Aguiar, Rodrigo Coura Torres, João V. F. Pinto, Afrânio Lineu Kritski, José Manoel de Seixas, Fernanda Carvalho de Queiroz Mello:
Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil. Medical Biol. Eng. Comput. 54(11): 1751-1759 (2016) - 2012
- [j4]Luciano M. de Andrade Filho, José Manoel de Seixas, Roberto Agostino Vitillo, Brian Thomas Martin:
Three-dimensional event visualization for the ATLAS calorimeter. Comput. Phys. Commun. 183(2): 245-250 (2012) - [c35]João Baptista de Oliveira e Souza Filho, Ana Paula Pereira Vieira, José Manoel de Seixas, Fábio Silva Aguiar, Fernanda Carvalho de Queiroz Mello, Afrânio Lineu Kritski:
An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis. IDEAL 2012: 818-825 - 2011
- [j3]Rodrigo Coura Torres, André Rabello dos Anjos, José Manoel de Seixas, Igor Soloviev:
Automatizing the online filter test management for a general-purpose particle detector. Comput. Phys. Commun. 182(3): 555-563 (2011) - 2010
- [j2]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Modified post-nonlinear ICA model for online neural discrimination. Neurocomputing 73(16-18): 2820-2828 (2010) - [c34]Jose Marcio Faier, José Manoel de Seixas:
Data quality monitoring: Independent component analysis for time series. EUSIPCO 2010: 1761-1765
2000 – 2009
- 2009
- [c33]Danton Diego Ferreira, Antônio Maurício Ferreira Leite Miranda de Sá, Augusto Santiago Cerqueira, José Manoel de Seixas:
ICA-Based Method for Quantifying EEG Event-Related Desynchronization. ICA 2009: 403-410 - [c32]Natanael N. de Moura, Eduardo F. Simas Filho, José Manoel de Seixas:
Narrow-Band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals. ICA 2009: 686-693 - [c31]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
High-Energy Particles Online Discriminators Based on Nonlinear Independent Components. ICA 2009: 718-725 - 2008
- [c30]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Segmented self-organized feature extraction for online filtering in a high event rate detector. EUSIPCO 2008: 1-5 - [c29]Rodrigo Coura Torres, José Manoel de Seixas, Sergio L. Netto, Diamantino Rui da Silva Freitas, Eduardo F. Brasil:
Portable implementation of a text-to-speech system for portuguese. EUSIPCO 2008: 1-4 - [c28]Luciano Manhães de Andrade Filho, José Manoel de Seixas, Thiago C. Xavier:
Cosmic ray detection from electromagnetic wave reflection using a matched filter. ICECS 2008: 125-128 - [c27]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Online neural filtering operating over segmented discriminating components. ICECS 2008: 530-533 - [c26]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Local independent component analysis applied to highly segmented detectors. ISCAS 2008: 3005-3008 - [c25]Eduardo F. Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering. SBRN 2008: 159-164 - 2007
- [c24]Carmen Maidantchik, José Manoel de Seixas, Afrânio Lineu Kritski, Fernanda Carvalho de Queiroz Mello, Rony T. V. Braga, Pedro H. S. Antunes, João Baptista de Oliveira e Souza Filho:
NEURALTB Web System: Support to the Smear Negative Pulmonary Tuberculosis Diagnosis. ICEIS (2) 2007: 198-203 - [c23]Augusto Cesar Heluy Dantas, José Manoel de Seixas:
Neural Networks for Data Quality Monitoring of Time Series. ICEIS (2) 2007: 411-415 - [c22]Eduardo Furtado de Simas Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Segmented Independent Component Analysis for Online Filtering Using Highly Segmented Detectors. ISDA 2007: 659-664 - [c21]Natanael N. de Moura, José Manoel de Seixas, William Soares-Filho, Ana V. Greco:
Independent Component Analysis for Optimal Passive Sonar Signal Detection. ISDA 2007: 671-678 - [c20]Aline da Rocha Gesualdi, José Manoel de Seixas, Marcelo Portes de Albuquerque:
Straight-line track reconstruction in 3D images using adaptive morphological hough transform. SIP 2007: 192-196 - 2004
- [j1]Herman P. Lima Júnior, Germano P. Guedes, Ademarlaudo F. Barbosa, José Manoel de Seixas:
A fast multichannel analyzer for radiation detection applications. IEEE Trans. Instrum. Meas. 53(2): 378-383 (2004) - 2002
- [c19]William Soares-Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Enlarging neural class detection capacity in passive sonar systems. ISCAS (3) 2002: 105-108 - [c18]K. P. G. Alekseev, José Manoel de Seixas:
Forecasting the Air Transport Demand for Passengers with Neural Modelling. SBRN 2002: 86-91 - [c17]Aline da Rocha Gesualdi, José Manoel de Seixas, Marcelo Portes de Albuquerque, Márcio Portes de Albuquerque:
Character Recognition in Car License Plates Based on Principal Components and Neural Processing. SBRN 2002: 206-211 - [c16]C. C. B. Teles, José Manoel de Seixas:
Identification of Failed (Fissured) Fuel Rods in Nuclear Reactors Using Neural Processing and Principal Component Analysis. SBRN 2002: 217-222 - [c15]B. Borba, C. Vasconcelos, Marcelo Portes de Albuquerque, Márcio Portes de Albuquerque, I. A. Esquef, José Manoel de Seixas:
Localization of Brazilian Vehicles Plates Using Frequency Analysis. SIBGRAPI 2002: 408 - [c14]Eugenio Suárez Cáner, José Manoel de Seixas, Rodrigo Coura Torres:
A Development Environment for Multilayer Neural Network Applications Mapped onto DSPs with Multiprocessing Capabilities. VECPAR 2002: 717-730 - 2001
- [c13]José Manoel de Seixas, D. O. Damázio, Paulo S. R. Diniz, W. Soares-Fillho:
Wavelet transform as a preprocessing method for neural classification of passive sonar signals. ICECS 2001: 83-86 - [c12]José Manoel de Seixas, Fabio P. Freeland, William Soares-Filho:
Matched filters for identifying failed fuel rods in nuclear reactors. ICECS 2001: 643-646 - [c11]William Soares-Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Principal component analysis for classifying passive sonar signals. ISCAS (3) 2001: 592-595 - 2000
- [c10]José Manoel de Seixas, William Soares-Filho, Marcelo C. Bossan, Zieli Dutra Thomé, W. C. A. Pereira:
Neural identification of failed fuel rods in nuclear reactors [PWRs]. ISCAS 2000: 160-163 - [c9]William Soares-Filho, José Manoel de Seixas, Luiz Pereira Calôba:
Averaging Spectra to Improve the Classification of the Noise Radiated by Ships Using Neural Networks. SBRN 2000: 156-161 - [c8]Aline da Rocha Gesualdi, Marcelo Portes de Albuquerque, José Manoel de Seixas, Luiz Pereira Calôba, Márcio Portes de Albuquerque:
Recognition of Characters in Plates of Private Brazilian Vehicles using Neural Networks. SIBGRAPI 2000: 333 - [c7]Augusto Cesar Heluy Dantas, José Manoel de Seixas, Felipe Maia Galvão França:
Parallel Implementation of a Track Recognition System Using Hough Transform. VECPAR 2000: 467-480
1990 – 1999
- 1999
- [c6]Eugenio Suárez Cáner, José Manoel de Seixas:
Neural discriminating analysis on preprocessed data. ICECS 1999: 415-418 - [c5]William Soares-Filho, D. O. Damázio, José Manoel de Seixas:
Particle discrimination using matched filters and expert neural networks. ICECS 1999: 595-598 - [c4]Márcio N. de Souza, E. J. Caprini, Glaucio J. Couri Machado, M. V. Ludolf, Luiz Pereira Calôba, José Manoel de Seixas, Fernando Gil Resende, Sergio L. Netto, Diamantino Rui da Silva Freitas, João Paulo Ramos Teixeira, Carlos Espain, Vitor Pera, F. Moreira:
Developing a voiced information retrieval system for the portuguese language capable to handle both brazilian and portuguese spoken versions. EUROSPEECH 1999: 351-354 - 1998
- [c3]José Manoel de Seixas, D. O. Damázio:
A neural discriminator capable to identify impurities in the data sample. ICECS 1998: 261-264 - [c2]José Manoel de Seixas, Augusto Santiago Cerqueira, Luiz Pereira Calôba:
A high-performance active adder. ICECS 1998: 377-380 - [c1]José Manoel de Seixas, P. V. M. da Silva, Luiz Pereira Calôba:
A Neural Mapping for Improving the Performance of a High-Energy Calorimeter. SBRN 1998: 204-209
Coauthor Index
aka: Eduardo Furtado de Simas Filho
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last updated on 2024-10-07 21:14 CEST by the dblp team
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