Blind source separation for convolutive mixtures using a non-uniform oversampled filter bank. - Mariane R. Petraglia; Paulo Bulkool Batalheiro; Diego B. Haddad (EUSIPCO, 2008)

Online Subband Blind Source Separation for Convolutive Mixtures Using a Uniform Filter Bank with Critical Sampling. - Paulo Bulkool Batalheiro; Mariane R. Petraglia; Diego B. Haddad (ICA, 2009)

On IIR Filters and Convergence Acceleration for Convolutive Blind Source Separation. - Diego B. Haddad; Mariane R. Petraglia; Paulo Bulkool Batalheiro (ICA, 2009)

New adaptive algorithms for identification of sparse impulse responses - Analysis and comparisons. - Mariane R. Petraglia; Diego B. Haddad (ISWCS, 2010)

Subband blind source separation considering acoustic reverberation characteristics. - Paulo Bulkool Batalheiro; Mariane Rembold Petraglia; Diego B. Haddad (ISCAS, 2011)

A New Initialization Method for Frequency-Domain Blind Source Separation Algorithms. - Felipe S. P. Clark; Mariane R. Petraglia; Diego B. Haddad (IEEE Signal Process. Lett., 2011)

Mean-square error and stability analysis of a subband structure for the rapid identification of sparse impulse responses. - Mariane R. Petraglia; Diego B. Haddad (Digit. Signal Process., 2012)

Closed-form solutions for robust acoustic sensor localization. - Diego B. Haddad; Leonardo O. Nunes; Wallace Alves Martins; Luiz W. P. Biscainho; Bowon Lee (WASPAA, 2013)

Transient and steady-state MSE analysis of the IMPNLMS algorithm. - Diego B. Haddad; Mariane R. Petraglia (Digit. Signal Process., 2014)

A RBF Neural Network applied to predict soil Field Capacity and Permanent Wilting Point at Brazilian coast. - Giorgia R. N. Carvalho; Diego N. Brandão; Diego B. Haddad; Vinicius Leal do Forte; Marcos B. Ceddia (IJCNN, 2015)

Normalized Subband Adaptive Filtering Algorithm With Reduced Computational Complexity. - Mariane R. Petraglia; Diego B. Haddad; Elias L. Marques (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

A unified approach for sparsity-aware and maximum correntropy adaptive filters. - Diego Barreto Haddad; Mariane Rembold Petraglia; Antonio Petraglia (EUSIPCO, 2016)

Low-complexity affine projection subband algorithm for robust adaptive filtering in impulsive noise. - Mariane R. Petraglia; Elias L. Marques; Diego B. Haddad (SAM, 2016)

Transient analysis of l0-LMS and l0-NLMS algorithms. - Karen da S. Olinto; Diego B. Haddad; Mariane R. Petraglia (Signal Process., 2016)

Affine Projection Subband Adaptive Filter With Low Computational Complexity. - Mariane R. Petraglia; Diego B. Haddad; Elias L. Marques (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

Robust Acoustic Self-Localization of Mobile Devices. - Diego B. Haddad; Wallace Alves Martins; Maurício do Vale Madeira da Costa; Luiz W. P. Biscainho; Leonardo O. Nunes; Bowon Lee (IEEE Trans. Mob. Comput., 2016)

A first approach using neural network to estimating soil bulk density of Urucu basin in Central Amazon-Brazil. - Tayana Moreira; Diego N. Brandão; Diego B. Haddad; Marcos B. Ceddia; E. F. M. Pinheiro; Rosane F. Oliveira (IJCNN, 2017)

Acoustic Sensor Self-Localization: Models and Recent Results. - Diego B. Haddad; Markus V. S. Lima; Wallace A. Martins; Luiz W. P. Biscainho; Leonardo O. Nunes; Bowon Lee (Wirel. Commun. Mob. Comput., 2017)

A Variable Step-Size NLMS Algorithm with Adaptive Coefficient Vector Reusing. - Leonardo C. Resende; Diego B. Haddad; Mariane R. Petraglia (EIT, 2018)

A New Proportionate Adaptive Filtering Algorithm with Coefficient Reuse and Robustness Against Impulsive Noise. - Rodrigo M. S. Pimenta; Leonardo C. Resende; Newton N. Siqueira; Diego B. Haddad; Mariane R. Petraglia (EUSIPCO, 2018)

Brazilian Soil Bulk Density Prediction Based on a Committee of Neural Regressors. - Diego B. Haddad; Laura S. de Assis; Luís Tarrataca; Andrea da S. Gomes; Marcos Bacis Ceddia; Rosane F. Oliveira; Jurair R. de P. Junior; Diego N. Brandão (IJCNN, 2018)

Sparsity-Aware Distributed Adaptive Filtering Algorithms for Nonlinear System Identification. - Robson Antonio do Prado; Felipe da Rocha Henriques; Diego Barreto Haddad (IJCNN, 2018)

Object Classification in Thermal Images using Convolutional Neural Networks for Search and Rescue Missions with Unmanned Aerial Systems. - Christopher Dahlin Rodin; Luciano Netto de Lima; Fabio Augusto de Alcantara Andrade; Diego Barreto Haddad; Tor Arne Johansen; Rune Storvold (IJCNN, 2018)

Evaluating the Influence of Mulsemedia Content in Reading. - Natália Vieira; Anderson Pinto; Felipe Silva; Helder Yukio Okuno; Iury Amorim; Taymison Ramos; Diego B. Haddad; Glauco Amorim; Gustavo Paiva Guedes; Joel A. F. dos Santos (WebMedia, 2018)

A Deep Reinforcement Learning Approach to Asset-Liability Management. - Alan Fontoura; Diego Barreto Haddad; Eduardo Bezerra 002 (BRACIS, 2019)

A Novel Sequential Activation Method for the Locomotion of Quadrupedal Soft Robots. - Rafaela Aparecida Garcia Sampaio; Fabrício Lopes e Silva; Cristiano de Souza de Carvalho; Diego Barreto Haddad; Gabriel Matos Araujo; Felipe M. G. França (LARS/SBR/WRE, 2019)

Data Warehouse Educacional: Uma visão sobre a Evasão no Ensino Superior. - Gustavo Alexandre Sousa Santos; Alex Laier Bordignon; Diego B. Haddad; Diego N. Brandão; Luís Tarrataca; Kele Teixeira Belloze (SBBD, 2019)

Collaborative information system to find efficient routes using public transport. - Diego H. B. Zanchett; Jurair R. de P. Junior; André Felipe Monteiro; Diego B. Haddad; Laura S. de Assis (WebMedia, 2019)

Efficient Volterra systems identification using hierarchical genetic algorithms. - Laura S. de Assis; Jurair R. de P. Junior; Luís Tarrataca; Diego B. Haddad (Appl. Soft Comput., 2019)

Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control. - Fabio Augusto de Alcantara Andrade; Anthony Hovenburg; Luciano Netto de Lima; Christopher Dahlin Rodin; Tor Arne Johansen; Rune Storvold; Carlos A. M. Correia; Diego Barreto Haddad (Sensors, 2019)

Exact expectation analysis of the deficient-length LMS algorithm. - Pedro Carlos da S. Lara; Luís Tarrataca; Diego B. Haddad (Signal Process., 2019)

Exact Expectation Evaluation and Design of Variable Step-Size Adaptive Algorithms. - Pedro Carlos da S. Lara; Filipe Igreja; Luís Tarrataca; Diego Barreto Haddad; Mariane R. Petraglia (IEEE Signal Process. Lett., 2019)

EvolveDTree: Analyzing Student Dropout in Universities. - Gustavo Alexandre Sousa Santos; Kele T. Belloze; Luís Tarrataca; Diego B. Haddad; Alex Laier Bordignon; Diego N. Brandão (IWSSIP, 2020)

Recent Advances in Overcoming the Independence Assumption in Adaptive Filtering Analyses. - Thiago T. P. Silva; Pedro Carlos da S. Lara; Thiago Gonzaga; Diego N. Brandão; Luís Tarrataca; Diego B. Haddad (IWSSIP, 2020)

Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi. - Luís Tarrataca; Clauda M. Dias; Diego Barreto Haddad; Edilson F. Arruda (CoRR, 2020)

Novel Proportionate Adaptive Filters with Coefficient Vector Reusing. - José V. G. de Souza; Diego B. Haddad; Felipe da Rocha Henriques; Mariane R. Petraglia (Circuits Syst. Signal Process., 2020)

On the Performance Analysis of Normalized Subband Adaptive Filtering Algorithm with Sparse Subfilters. - Pedro Paulo S. Xavier; Diego B. Haddad; Mariane R. Petraglia (Circuits Syst. Signal Process., 2020)

Advances on the analysis of the LMS algorithm with a colored measurement noise. - Pedro Carlos da S. Lara; Diego B. Haddad; Luís Tarrataca (Signal Image Video Process., 2020)

An Exact Expectation Model for the LMS Tracking Abilities. - Thiago T. P. Silva; Pedro Carlos da S. Lara; Filipe Igreja; Fernanda D. V. R. Oliveira; Luís Tarrataca; Diego B. Haddad (IEEE Trans. Signal Process., 2020)

Blind and Semi-blind Anechoic Mixing System Identification Using Multichannel Matching Pursuit. - Diego B. Haddad; Lisandro Lovisolo; Mariane Rembold Petraglia; Paulo Bulkool Batalheiro; Jorge Costa Pires Filho (Circuits Syst. Signal Process., 2021)

Constrained Least Mean Square Algorithm with Coefficient Reusing. - Valmir S. Nogueira Junior; Michel Pompeu Tcheou; Maurício Henrique Costa Dias; Diego B. Haddad (Circuits Syst. Signal Process., 2021)

On the Analysis of the Incremental ℓ 0-LMS Algorithm for Distributed Systems. - Robson Antonio do Prado; Raphael M. Guedes; Felipe da Rocha Henriques; Felipe M. da Costa; Luís D. T. J. Tarrataca; Diego B. Haddad (Circuits Syst. Signal Process., 2021)

Transient Analysis of the Block Least Mean Squares Algorithm. - Thiago Gonzaga; Valmir dos S. N. Junior; Ana L. F. de Barros; Felipe da Rocha Henriques; Diego B. Haddad (IEEE Commun. Lett., 2021)

Transient Analysis of the Set-Membership LMS Algorithm. - Newton N. Siqueira; Tiago P. Ferreira; Leonardo C. Resende; Rodrigo M. S. Pimenta; Diego B. Haddad; Mariane R. Petraglia (IEEE Commun. Lett., 2021)

A Rhythmic Activation Mechanism for Soft Multi-legged Robots. - Rafaela Aparecida Garcia Sampaio; Fabrício Lopes e Silva; Cristiano de Souza de Carvalho; Gabriel Matos Araujo; Milena Faria Pinto; Diego Barreto Haddad; Felipe Maia Galvão França (J. Intell. Robotic Syst., 2021)

New efficient subband structures for blind source separation. - Paulo Bulkool Batalheiro; Mariane R. Petraglia; Diego B. Haddad (Signal Process., 2021)

On the Skewness of the LMS Adaptive Weights. - Thiago T. P. Silva; Filipe Igreja; Pedro Carlos da S. Lara; Luís Tarrataca; Asutosh Kar; Diego B. Haddad (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Long-Term Person Reidentification: Challenges and Outlook. - Anderson Manhães; Gabriel Matos Araujo; Douglas de O. Cardoso; Milena F. Pinto; Jeferson Colares; Paulo Leitão; Diego N. Brandão; Diego B. Haddad (OL2A, 2022)

A Family of Adaptive Volterra Filters Based on Maximum Correntropy Criterion for Improved Active Control of Impulsive Noise. - Guttikonda Gowtham; Srikanth Burra; Asutosh Kar; Jan Østergaard; Pitikhate Sooraksa; Vladimir Mladenovic; Diego B. Haddad (Circuits Syst. Signal Process., 2022)

Hybrid methodology based on computational vision and sensor fusion for assisting autonomous UAV on offshore messenger cable transfer operation. - Gabryel Silva Ramos; Milena F. Pinto; Fabrício O. Coelho; Leonardo de Mello Honório; Diego B. Haddad (Robotica, 2022)

Comprehensive Direct Georeferencing of Aerial Images for Unmanned Aerial Systems Applications. - Carlos A. M. Correia; Fabio Augusto de Alcantara Andrade; Agnar Sivertsen; Ihannah Pinto Guedes; Milena Faria Pinto; Aline Gesualdi Manhães; Diego Barreto Haddad (Sensors, 2022)

Multi-Armed Bandits for Minesweeper: Profiting From Exploration-Exploitation Synergy. - Igor Q. Lordeiro; Diego B. Haddad; Douglas de O. Cardoso (IEEE Trans. Games, 2022)

Memetic algorithm applied to topology control optimization of a wireless sensor network. - Jorge A. G. de Brito; Diego R. M. Totte; Fábio Silva; Jurair R. de P. Junior; Felipe da Rocha Henriques; Luís Tarrataca; Diego Barreto Haddad; Laura S. de Assis (Wirel. Networks, 2022)

Composed Fault Dataset (COMFAULDA). - Dionísio H. C. S. S. Martins; Denys Pestana-Viana; Amaro Azevedo de Lima; Diego B. Haddad; Ricardo H. R. Gutiérrez; Luiz A. P. Vaz (IEEE DataPort, 2022)

Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification. - Dionísio H. C. S. S. Martins; Amaro A. de Lima; Ricardo H. R. Gutiérrez; Denys Pestana-Viana; Sergio L. Netto; Luiz A. P. Vaz; Eduardo A. B. da Silva; Diego B. Haddad (Eng. Appl. Artif. Intell., 2023)

Analysis of the least mean squares algorithm with reusing coefficient vector. - Leonardo C. Resende; Rodrigo M. S. Pimenta; Newton N. Siqueira; Filipe Igreja; Diego B. Haddad; Mariane R. Petraglia (Signal Process., 2023)

Hybrid data augmentation method for combined failure recognition in rotating machines. - Dionísio H. C. S. S. Martins; Amaro A. de Lima; Milena F. Pinto; Douglas de O. Hemerly; Thiago de M. Prego; Fabrício Lopes e Silva; Luís Tarrataca; Ulisses A. Monteiro; Ricardo H. R. Gutiérrez; Diego B. Haddad (J. Intell. Manuf., 2023)

Improved Proportionate Constrained Normalized Least Mean Square for Adaptive Beamforming. - Mariana dos S. Vieitos; Michel Pompeu Tcheou; Diego B. Haddad; Maurício Henrique Costa Dias (Circuits Syst. Signal Process., 2023)

Analytical Expression for Recommendation ITU-R P.l546-6 Propagation Curves of Land Paths Up to 20 km Using Symbolic Regression. - Guilherme Kneitz de Oliveira; Diego Barreto Haddad; Gilson Antonio Giraldi; Maurício Henrique Costa Dias (SIoT, 2024)

ARCog-NET: An Aerial Robot Cognitive Network Architecture for Swarm Applications Development. - Gabryel Silva Ramos; Felipe da Rocha Henriques; Diego B. Haddad; Fabio Augusto de Alcantara Andrade; Milena F. Pinto (IEEE Access, 2024)

Stochastic Modeling of the Set-Membership- Sign-NLMS Algorithm. - José V. G. de Souza; Felipe da Rocha Henriques; Newton N. Siqueira; Luís Tarrataca; Fabio Augusto de Alcantara Andrade; Diego B. Haddad (IEEE Access, 2024)

Stability analysis of the bias compensated LMS algorithm. - Rodrigo M. S. Pimenta; Mariane R. Petraglia; Diego B. Haddad (Digit. Signal Process., 2024)

Analyzing the LMS Weight Error Covariance Matrix: An Exact Expectation Approach. - Filipe Igreja; Pedro Carlos da S. Lara; Luís Tarrataca; Laura S. de Assis; Fernanda D. V. R. Oliveira; Ana L. F. de Barros; Diego B. Haddad (Circuits Syst. Signal Process., 2024)

Sparsity-aware distributed adaptive filtering with robustness against impulsive noise and low SNR. - Rafael Moura do Carmo; Guilherme de R. Ferreira; Pedro Henrique Campelo; Leonardo C. Resende; Leonardo de Lima; Felipe da Rocha Henriques; Diego Barreto Haddad (Telecommun. Syst., 2024)

Tracking Analysis of the ℓ 0-LMS Algorithm. - Lucas Paiva R. da Silva; Ana L. Ferreira de Barros; Milena Faria Pinto; Fernanda D. V. R. Oliveira; Diego B. Haddad (Circuits Syst. Signal Process., 2024)

Analysis and Control of Ball Displacement in Air Levitation Experiment by Using a Disturbance Rejection-Based Technique. - Alessandro R. L. Zachi; Josiel A. Gouvea; Carlos A. M. Correia; Milena F. Pinto; Mariane R. Petraglia; Diego B. Haddad; Fabio Augusto de Alcantara Andrade (IEEE Access, 2025)

A novel stochastic model for the steady-state performance of norm-penalized adaptive algorithms. - Lucas Paiva R. da Silva; Fabio A. A. Andrade; Milena F. Pinto; Gilson A. Giraldi; Diego Barreto Haddad (Digit. Signal Process., 2025)

Symbolic regression approach for analytical modeling of ITU-R P.1546-6 propagation curves. - Guilherme Kneitz de Oliveira; Diego Barreto Haddad; Gilson Antonio Giraldi; Maurício Henrique Costa Dias (Telecommun. Syst., 2025)

A Novel Stochastic Stability Model for the Coefficient Reusing LMS Algorithm. - Leonardo C. Resende; Fabio Augusto de Alcantara Andrade; Diego Barreto Haddad; Mariane R. Petraglia (Telecommun. Syst., 2025)

Predicting faults in diesel engines with kernel machines regression techniques. - Denys Pestana-Viana; Dionísio H. C. S. S. Martins; Diego B. Haddad; Fabrício Lopes e Silva; Milena F. Pinto; Ricardo H. R. Gutiérrez; Ulisses A. Monteiro; Luiz A. P. Vaz; Thiago de M. Prego; Fabio A. A. Andrade; Luís Tarrataca; Amaro A. de Lima (Appl. Intell., 2025)