Effect of visual attention areas on the objective video quality assessment. - Carlos Danilo Miranda Regis; José Vinícius de Miranda Cardoso; Marcelo Sampaio de Alencar (WebMedia, 2012)

Performance of the objective video quality metrics with perceptual weighting considering first and second order differential operators. - Carlos Danilo Miranda Regis; José Vinícius de Miranda Cardoso; Italo de Pontes Oliveira; Marcelo Sampaio de Alencar (WebMedia, 2012)

Objective estimation of 3D video quality: A disparity-based weighting strategy. - Carlos Danilo Miranda Regis; José Vinícius de Miranda Cardoso; Italo de Pontes Oliveira; Marcelo Sampaio de Alencar (BMSB, 2013)

Fuzzy Logic and Temporal Information Applied to Video Quality Assessment. - Carlos Danilo Miranda Regis; José Vinícius de Miranda Cardoso; Italo de Pontes Oliveira; Marcelo Sampaio de Alencar (J. Mobile Multimedia, 2013)

On the performance of disparity-based weighting technique applied to 3D image quality assessment. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (BMSB, 2014)

SQUALES: A Qt-based application for full-reference objective stereoscopic video quality measurement. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (Kaleidoscope, 2014)

Temporal analysis and perceptual weighting for objective video quality measurement. - José Vinícius de Miranda Cardoso; Marcelo Sampaio de Alencar; Carlos Danilo Miranda Regis; Italo de Pontes Oliveira (SSIAI, 2014)

ImQET: Objective Stereoscopic Image Quality Evaluation Tool. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (WebMedia, 2014)

Disparity weighting applied to full-reference and no reference stereoscopic image quality assessment. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (ICCE, 2015)

MUNIQUE: Multiview no-reference image quality evaluation. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (Kaleidoscope, 2015)

Towards the Standardization of Stereoscopic Video Quality Assessment: An Application for Objective Algorithms. - José Vinícius de Miranda Cardoso; Carlos Danilo Miranda Regis; Marcelo Sampaio de Alencar (J. ICT Stand., 2015)

Anomalies Detection in Wireless Sensor Networks Using Bayesian Changepoints. - Rychelly Glenneson da S. Ramos; Paulo Ribeiro L.; José Vinícius de Miranda Cardoso (MASS, 2016)

Energy Detection of Gaussian Signals Subject to Impulsive Noise in Generalized Fading Channels. - José Vinícius de Miranda Cardoso; Wamberto José Lira de Queiroz; Hang Liu; Marcelo Sampaio de Alencar (WASA, 2016)

New closed-form expressions for SNR estimates of Nakagami fading channels by the method of moments. - Wamberto J. L. Queiroz; Danilo Brito Teixeira de Almeida; Francisco Madeiro; José Vinícius de Miranda Cardoso; Damião F. L. Pereira; Marcelo S. Alencar (Telecommun. Syst., 2018)

Bipartite Structured Gaussian Graphical Modeling via Adjacency Spectral Priors. - Sandeep Kumar 005; Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (ACSSC, 2019)

Structured Graph Learning Via Laplacian Spectral Constraints. - Sandeep Kumar 005; Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (NeurIPS, 2019)

Learning Undirected Graphs in Financial Markets. - José Vinícius de Miranda Cardoso; Daniel P. Palomar (ACSSC, 2020)

Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (NeurIPS, 2020)

Does the 𝓁1-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models? - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (CoRR, 2020)

Algorithms for Learning Graphs in Financial Markets. - José Vinícius de Miranda Cardoso; Jiaxi Ying; Daniel Pérez Palomar (CoRR, 2020)

A Unified Framework for Structured Graph Learning via Spectral Constraints. - Sandeep Kumar 005; Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (J. Mach. Learn. Res., 2020)

A Fast Algorithm for Graph Learning under Attractive Gaussian Markov Random Fields. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (ACSCC, 2021)

Minimax Estimation of Laplacian Constrained Precision Matrices. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (AISTATS, 2021)

Graphical Models in Heavy-Tailed Markets. - José Vinícius de Miranda Cardoso; Jiaxi Ying; Daniel P. Palomar (NeurIPS, 2021)

Fast Projected Newton-like Method for Precision Matrix Estimation with Nonnegative Partial Correlations. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Jian-Feng Cai 001; Daniel P. Palomar (CoRR, 2021)

Efficient Algorithms for General Isotone Optimization. - Xiwen Wang 003; Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (AAAI, 2022)

Learning Bipartite Graphs: Heavy Tails and Multiple Components. - José Vinícius de Miranda Cardoso; Jiaxi Ying; Daniel P. Palomar (NeurIPS, 2022)

Adaptive Estimation of MTP2 Graphical Models. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (CoRR, 2022)

Graph Learning for Balanced Clustering of Heavy-Tailed Data. - Amirhossein Javaheri; José Vinícius de Miranda Cardoso; Daniel P. Palomar (CAMSAP, 2023)

Estimating Normalized Graph Laplacians in Financial Markets. - José Vinícius de Miranda Cardoso; Jiaxi Ying; Sandeep Kumar 005; Daniel P. Palomar (ICASSP, 2023)

Adaptive Estimation of Graphical Models under Total Positivity. - Jiaxi Ying; José Vinícius de Miranda Cardoso; Daniel P. Palomar (ICML, 2023)

Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity. - Jianfeng Cai 001; José Vinícius de Miranda Cardoso; Daniel P. Palomar; Jiaxi Ying (NeurIPS, 2023)