A high-performance active adder. - José Manoel de Seixas; Augusto Santiago Cerqueira; Luiz Pereira Calôba (ICECS, 1998)

A neural discriminator capable to identify impurities in the data sample. - José Manoel de Seixas; D. O. Damázio (ICECS, 1998)

A Neural Mapping for Improving the Performance of a High-Energy Calorimeter. - José Manoel de Seixas; P. V. M. da Silva; Luiz Pereira Calôba (SBRN, 1998)

Neural discriminating analysis on preprocessed data. - Eugenio Suárez Cáner; José Manoel de Seixas (ICECS, 1999)

Particle discrimination using matched filters and expert neural networks. - William Soares-Filho; D. O. Damázio; José Manoel de Seixas (ICECS, 1999)

Developing a voiced information retrieval system for the portuguese language capable to handle both brazilian and portuguese spoken versions. - 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; et al. (EUROSPEECH, 1999)

Neural identification of failed fuel rods in nuclear reactors [PWRs]. - José Manoel de Seixas; William Soares-Filho; Marcelo C. Bossan; Zieli Dutra Thomé; W. C. A. Pereira (ISCAS, 2000)

Averaging Spectra to Improve the Classification of the Noise Radiated by Ships Using Neural Networks. - William Soares-Filho; José Manoel de Seixas; Luiz Pereira Calôba (SBRN, 2000)

Recognition of Characters in Plates of Private Brazilian Vehicles using Neural Networks. - Aline da Rocha Gesualdi; Marcelo Portes de Albuquerque; José Manoel de Seixas; Luiz Pereira Calôba; Márcio Portes de Albuquerque (SIBGRAPI, 2000)

Parallel Implementation of a Track Recognition System Using Hough Transform. - Augusto Cesar Heluy Dantas; José Manoel de Seixas; Felipe Maia Galvão França (VECPAR, 2000)

Wavelet transform as a preprocessing method for neural classification of passive sonar signals. - José Manoel de Seixas; D. O. Damázio; Paulo S. R. Diniz; W. Soares-Fillho (ICECS, 2001)

Matched filters for identifying failed fuel rods in nuclear reactors. - José Manoel de Seixas; Fabio P. Freeland; William Soares-Filho (ICECS, 2001)

Principal component analysis for classifying passive sonar signals. - William Soares-Filho; José Manoel de Seixas; Luiz Pereira Calôba (ISCAS (3), 2001)

Enlarging neural class detection capacity in passive sonar systems. - William Soares-Filho; José Manoel de Seixas; Luiz Pereira Calôba (ISCAS (3), 2002)

Forecasting the Air Transport Demand for Passengers with Neural Modelling. - K. P. G. Alekseev; José Manoel de Seixas (SBRN, 2002)

Character Recognition in Car License Plates Based on Principal Components and Neural Processing. - Aline da Rocha Gesualdi; José Manoel de Seixas; Marcelo Portes de Albuquerque; Márcio Portes de Albuquerque (SBRN, 2002)

Identification of Failed (Fissured) Fuel Rods in Nuclear Reactors Using Neural Processing and Principal Component Analysis. - C. C. B. Teles; José Manoel de Seixas (SBRN, 2002)

Localization of Brazilian Vehicles Plates Using Frequency Analysis. - B. Borba; C. Vasconcelos; Marcelo Portes de Albuquerque; Márcio Portes de Albuquerque; I. A. Esquef; José Manoel de Seixas (SIBGRAPI, 2002)

A Development Environment for Multilayer Neural Network Applications Mapped onto DSPs with Multiprocessing Capabilities. - Eugenio Suárez Cáner; José Manoel de Seixas; Rodrigo Coura Torres (VECPAR, 2002)

An accurate and fast neural method for PCA extraction. - João B. O. Souza Filho; Luiz Pereira Calôba; José Manoel de Seixas (IJCNN, 2003)

A fast multichannel analyzer for radiation detection applications. - Herman P. Lima Júnior; Germano P. Guedes; Ademarlaudo F. Barbosa; José Manoel de Seixas (IEEE Trans. Instrum. Meas., 2004)

Neural Networks for Data Quality Monitoring of Time Series. - Augusto Cesar Heluy Dantas; José Manoel de Seixas (ICEIS (2), 2007)

NEURALTB Web System: Support to the Smear Negative Pulmonary Tuberculosis Diagnosis. - 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 (ICEIS (2), 2007)

Segmented Independent Component Analysis for Online Filtering Using Highly Segmented Detectors. - Eduardo Furtado de Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (ISDA, 2007)

Independent Component Analysis for Optimal Passive Sonar Signal Detection. - Natanael N. de Moura; José Manoel de Seixas; William Soares-Filho; Ana V. Greco (ISDA, 2007)

Straight-line track reconstruction in 3D images using adaptive morphological hough transform. - Aline da Rocha Gesualdi; José Manoel de Seixas; Marcelo Portes de Albuquerque (SIP, 2007)

Segmented self-organized feature extraction for online filtering in a high event rate detector. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (EUSIPCO, 2008)

Portable implementation of a text-to-speech system for portuguese. - Rodrigo Coura Torres; José Manoel de Seixas; Sergio L. Netto; Diamantino Rui da Silva Freitas; Eduardo F. Brasil (EUSIPCO, 2008)

Online neural filtering operating over segmented discriminating components. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (ICECS, 2008)

Cosmic ray detection from electromagnetic wave reflection using a matched filter. - Luciano Manhães de Andrade Filho; José Manoel de Seixas; Thiago C. Xavier (ICECS, 2008)

Local independent component analysis applied to highly segmented detectors. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (ISCAS, 2008)

Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (SBRN, 2008)

ICA-Based Method for Quantifying EEG Event-Related Desynchronization. - Danton Diego Ferreira; Antônio Maurício Ferreira Leite Miranda de Sá; Augusto Santiago Cerqueira; José Manoel de Seixas (ICA, 2009)

High-Energy Particles Online Discriminators Based on Nonlinear Independent Components. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (ICA, 2009)

Narrow-Band Short-Time Frequency-Domain Blind Signal Separation of Passive Sonar Signals. - Natanael N. de Moura; Eduardo F. Simas Filho; José Manoel de Seixas (ICA, 2009)

Data quality monitoring: Independent component analysis for time series. - Jose Marcio Faier; José Manoel de Seixas (EUSIPCO, 2010)

Modified post-nonlinear ICA model for online neural discrimination. - Eduardo F. Simas Filho; José Manoel de Seixas; Luiz Pereira Calôba (Neurocomputing, 2010)

Automatizing the online filter test management for a general-purpose particle detector. - Rodrigo Coura Torres; André Rabello dos Anjos; José Manoel de Seixas; Igor Soloviev (Comput. Phys. Commun., 2011)

An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis. - 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 (IDEAL, 2012)

Three-dimensional event visualization for the ATLAS calorimeter. - Luciano M. de Andrade Filho; José Manoel de Seixas; Roberto Agostino Vitillo; Brian Thomas Martin (Comput. Phys. Commun., 2012)

Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil. - Fábio Silva Aguiar; Rodrigo Coura Torres; João V. F. Pinto; Afrânio Lineu Kritski; José Manoel de Seixas; Fernanda Carvalho de Queiroz Mello (Medical Biol. Eng. Comput., 2016)

Novelty detection in passive sonar systems using a kernel approach. - Natanael Nunes de Moura Junior; José Manoel de Seixas (ICNC-FSKD, 2017)

Neural network models for supporting drug and multidrug resistant tuberculosis screening diagnosis. - L. H. R. A. Évora; José Manoel de Seixas; Afrânio Lineu Kritski (Neurocomputing, 2017)

Novelty Detection in Passive Sonar Systems using Stacked AutoEncoders. - Vinicius dos Santos Mello; Natanael Nunes de Moura Junior; José Manoel de Seixas (IJCNN, 2018)

Fault Detection and Diagnosis in a Chemical Process using Long Short-Term Memory Recurrent Neural Network. - Gilberto M. Xavier; José Manoel de Seixas (IJCNN, 2018)

Evolutionary-morphological learning machines for high-frequency financial time series prediction. - Ricardo de A. Araújo; Nadia Nedjah; José Manoel de Seixas; Adriano L. I. Oliveira; Silvio Romero de Lemos Meira (Swarm Evol. Comput., 2018)

A template subtraction method for reducing electrocardiographic artifacts in EMG signals of low intensity. - José Dilermando Costa Junior; José Manoel de Seixas; Antônio Maurício Ferreira Leite Miranda de Sá (Biomed. Signal Process. Control., 2019)

Passive Sonar Classification Using Time-Domain Information and Recurrent Neural Networks. - Marlon Jovenil de Souza; Natanael Nunes de Moura Junior; José Manoel de Seixas (LA-CCI, 2022)

Deep Learning Models for Passive Sonar Signal Classification of Military Data. - Júlio de Castro Vargas Fernandes; Natanael Nunes de Moura Junior; José Manoel de Seixas (Remote. Sens., 2022)

Lorenzetti Showers - A general-purpose framework for supporting signal reconstruction and triggering with calorimeters. - 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; et al. (Comput. Phys. Commun., 2023)

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum. - Rigel Procópio Fernandes; José Antonio Apolinário; José Manoel de Seixas (Sensors, 2024)