João Marcos Travassos Romano

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Viewing Publication 1 - 59 from 59

2025

Improving preference disaggregation in multicriteria decision making: Incorporating time series analysis and a multi-objective approachBetania Silva Carneiro Campello, Sarah Ben Amor, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. isci, 700:121833, 2025. [doi]

2023

Exploiting temporal features in multicriteria decision analysis by means of a tensorial formulation of the TOPSIS methodBetania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. candie, 175:108915, 2023. [doi]

Multicriteria decision support employing adaptive prediction in a tensor-based feature representationBetania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. prl, 174:52-56, October 2023. [doi]

Deep Learning Techniques For Time Series Forecasting: An Application For Exchange RatesHenri Makika, João Marcos Travassos Romano, Rosangela Ballini. mlsp 2023: 1-6 [doi]

2022

Dealing with multi-criteria decision analysis in time-evolving approach using a probabilistic prediction methodBetania Silva Carneiro Campello, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. eaai, 116:105462, 2022. [doi]

Identification of the Choquet integral parameters in the interaction index domain by means of sparse modelingHenrique Evangelista de Oliveira, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. eswa, 187:115874, 2022. [doi]

Dealing with redundancies among criteria in multicriteria decision making through independent component analysisGuilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano. candie, 169:108171, 2022. [doi]

2020

An Unsupervised Capacity Identification Approach Based on Sobol' IndicesGuilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano. mdai 2020: 66-77 [doi]

The multilinear model in multicriteria decision making: The case of 2-additive capacities and contributions to parameter identificationGuilherme Dean Pelegrina, Leonardo Tomazeli Duarte, Michel Grabisch, João Marcos Travassos Romano. eor, 282(3):945-956, 2020. [doi]

2019

Application of independent component analysis and TOPSIS to deal with dependent criteria in multicriteria decision problemsGuilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. eswa, 122:262-280, 2019. [doi]

2018

Tensor modelling of MIMO communication systems with performance analysis and Kronecker receiversMichele Nazareth da Costa, Gérard Favier, João Marcos Travassos Romano. sigpro, 145:304-316, 2018. [doi]

Improving Sparse Multichannel Blind Deconvolution with Correlated Seismic Data: Foundations and Further ResultsKenji Nose Filho, André K. Takahata, Renato R. Lopes, João Marcos Travassos Romano. spm, 35(2):41-50, 2018. [doi]

Muticriteria Decision Making Based on Independent Component Analysis: A Preliminary Investigation Considering the TOPSIS ApproachGuilherme Dean Pelegrina, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. ica 2018: 568-577 [doi]

2017

Low-Rank Decomposition Based on Disjoint Component Analysis With Applications in Seismic ImagingKenji Nose Filho, João Marcos Travassos Romano. tci, 3(2):275-281, 2017. [doi]

On Disjoint Component AnalysisKenji Nose Filho, Leonardo Tomazeli Duarte, João Marcos Travassos Romano. ica 2017: 519-528 [doi]

2016

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixturesYves-Marie Batany, Daniela Donno, Leonardo Tomazeli Duarte, Hervé Chauris, Yannick Deville, João Marcos Travassos Romano. eusipco 2016: 1628-1632 [doi]

Randomized methods for higher-order subspace separationMichele N. da Costa, Renato R. Lopes, João Marcos Travassos Romano. eusipco 2016: 215-219 [doi]

2014

2013

Error entropy criterion in echo state network trainingLevy Boccato, Daniel G. Silva, Denis G. Fantinato, Kenji Nose Filho, Rafael Ferrari, Romis Attux, Aline Neves, Jugurta Montalvão, João Marcos Travassos Romano. esann 2013: [doi]

Transmission Power Control for Opportunistic QoS Provision in Wireless NetworksFabiano de Sousa Chaves, Mohamed Abbas-Turki, Hisham Abou-Kandil, João Marcos Travassos Romano. tcst, 21(2):315-331, 2013. [doi]

2012

Hinfinity Filter with Adaptive Robustness Level for Space-Time EqualizationFabiano de Sousa Chaves, João Marcos Travassos Romano, Mohamed Abbas-Turki, Hisham Abou-Kandil. vtc 2012: 1-5 [doi]

Blind compensation of nonlinear distortions via sparsity recoveryLeonardo Tomazeli Duarte, Ricardo Suyama, Romis Attux, João Marcos Travassos Romano, Christian Jutten. eusipco 2012: 2362-2366 [doi]

Blind Compensation of Nonlinear Distortions: Application to Source Separation of Post-Nonlinear MixturesLeonardo Tomazeli Duarte, Ricardo Suyama, Bertrand Rivet, Romis Attux, João Marcos Travassos Romano, Christian Jutten. tsp, 60(11):5832-5844, 2012. [doi]

Tensor space-time (TST) coding for MIMO wireless communication systemsGérard Favier, Michele N. da Costa, André L. F. de Almeida, João Marcos Travassos Romano. sigpro, 92(4):1079-1092, 2012. [doi]

Modified Kalman Filters for Channel Estimation in Orthogonal Space-Time Coded SystemsMurilo Bellezoni Loiola, Renato R. Lopes, João Marcos Travassos Romano. tsp, 60(1):533-538, 2012. [doi]

Doping audio signals for source separationGaël Mahé, Everton Z. Nadalin, João Marcos Travassos Romano. eusipco 2012: 2402-2406 [doi]

Searching for Specific periodic and Chaotic oscillations in a periodically-excited Hodgkin-Huxley ModelDiogo C. Soriano, Romis de Faissol Attux, Ricardo Suyama, João Marcos Travassos Romano. IJBC, 22(1), 2012. [doi]

Unsupervised Processing of Geophysical Signals: A Review of Some Key Aspects of Blind Deconvolution and Blind Source SeparationAndré K. Takahata, Everton Z. Nadalin, Rafael Ferrari, Leonardo Tomazeli Duarte, Ricardo Suyama, Renato R. Lopes, João Marcos Travassos Romano, Martin Tygel. spm, 29(4):27-35, 2012. [doi]

2011

2010

Lyapunov-based stability analysis of supervised and unsupervised adaptive algorithmsCelso de Sousa Júnior, Romis de Faissol Attux, Ricardo Suyama, João Marcos Travassos Romano. iscas 2010: 2988-2991 [doi]

Blind Source Separation of Overdetermined Linear-Quadratic MixturesLeonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten. ica 2010: 263-270 [doi]

2009

2008

Multiuser processing using blind source separation methodsCharles Casimiro Cavalcante, D. Zanatta Filho, João Marcos Travassos Romano. ett, 19(7):827-836, 2008. [doi]

2007

A Nonlinear Prediction Approach to the Blind Separation of Convolutive MixturesRicardo Suyama, Leonardo Tomazeli Duarte, Rafael Ferrari, Leandro Elias Paiva Rangel, Romis de Faissol Attux, Charles Casimiro Cavalcante, Fernando J. Von Zuben, João Marcos Travassos Romano. ejasp, 2007, 2007. [doi]

2006

Blind Source Separation of Post-nonlinear Mixtures Using Evolutionary Computation and Order StatisticsLeonardo Tomazeli Duarte, Ricardo Suyama, Romis de Faissol Attux, Fernando J. Von Zuben, João Marcos Travassos Romano. ica 2006: 66-73 [doi]

Immune-inspired Dynamic Optimization for Blind Spatial Equalization in Undermodeled ChannelsCynthia Junqueira, Fabrício Olivetti de França, Romis de Faissol Attux, Cristiano M. Panazio, Leandro N. de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano. cec 2006: 2896-2903 [doi]

Support Vector Clustering Applied to Digital CommunicationsClodoaldo Ap. M. Lima, Rafael Ferrari, Helder Knidel, C. Junqueira, Romis de Faissol Attux, João Marcos Travassos Romano, Fernando J. Von Zuben. ijcnn 2006: 1642-1648 [doi]

An interconnected type-1 fuzzy algorithm for impulsive noise cancellation in multicarrier-based power line communication systemsM. V. Ribeiro, Carlos Augusto Duque, João Marcos Travassos Romano. jsac, 24(7):1364-1376, 2006. [doi]

2005

2003

A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune networkRomis de Faissol Attux, L. N. de Castro, Fernando José Von Zuben, João Marcos Travassos Romano. nnsp 2003: 839-848 [doi]

Blind Search for Optimal Wiener Equalizers Using an Artificial Immune Network ModelRomis de Faissol Attux, Murilo Bellezoni Loiola, Ricardo Suyama, Leandro Nunes de Castro, Fernando J. Von Zuben, João Marcos Travassos Romano. ejasp, 2003(8):740-747, 2003. [doi]

2002

Application of Kohonen self-organizing maps to improve the performance of objective methods for speech quality assessmentJayme G. A. Barbedo, Moisés V. Ribeiro, Fernando José Von Zuben, Amauri Lopes, João Marcos Travassos Romano. eusipco 2002: 1-4 [doi]

On the convergence of a new joint DFE & decoding procedure for blind decision directed LMS equalizationCristiano M. Panazio, João Marcos Travassos Romano. icc 2002: 129-133 [doi]

1998

Simplified FLS algorithm for linear phase adaptive filteringLeonardo S. Resende, João Marcos Travassos Romano, Maurice G. Bellanger. eusipco 1998: 1-4 [doi]

1996

A robust FLS algorithm for LCMV adaptive broadband beamformerLeonardo Silva Resende, João Marcos Travassos Romano, Maurice G. Bellanger. icassp 1996: 1826-1829 [doi]

1994

A robust FLS algorithm for linearly-constrained adaptive filteringLeonardo S. Resende, João Marcos Travassos Romano, Maurice G. Bellanger. icassp 1994: 381-384 [doi]

1992

A fast least squares algorithm for constrained adaptive filteringLeonardo Silva Resende, João Marcos Travassos Romano, Maurice G. Bellanger. icassp 1992: 21-24 [doi]

1988

Fast least squares adaptive notch filteringJoão Marcos Travassos Romano, Maurice G. Bellanger. icassp 1988: 1391-1394 [doi]

Fast least squares adaptive notch filteringJoão Marcos Travassos Romano, Maurice G. Bellanger. tsp, 36(9):1536-1540, 1988. [doi]

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2011

2010

2009

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2006

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1998

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