A simple set-membership affine projection algorithm for sparse system modeling. - Hamed Yazdanpanah; Paulo S. R. Diniz; Markus V. S. Lima (EUSIPCO, 2016)

Improved set-membership partial-update affine projection algorithm. - Paulo S. R. Diniz; Hamed Yazdanpanah (ICASSP, 2016)

On the robustness of the set-membership NLMS algorithm. - Hamed Yazdanpanah; Markus V. S. Lima; Paulo S. R. Diniz (SAM, 2016)

Data censoring with set-membership algorithms. - Paulo S. R. Diniz; Hamed Yazdanpanah (GlobalSIP, 2017)

Recursive Least-Squares algorithms for sparse system modeling. - Hamed Yazdanpanah; Paulo S. R. Diniz (ICASSP, 2017)

On the robustness of set-membership adaptive filtering algorithms. - Hamed Yazdanpanah; Markus V. S. Lima; Paulo S. R. Diniz (EURASIP J. Adv. Signal Process., 2017)

New Trinion and Quaternion Set-Membership Affine Projection Algorithms. - Hamed Yazdanpanah; Paulo S. R. Diniz (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

l0-Norm Feature LMS Algorithms. - Hamed Yazdanpanah; José Antonio Apolinário; Paulo S. R. Diniz; Markus V. S. Lima (GlobalSIP, 2018)

Feature LMS Algorithms. - Paulo S. R. Diniz; Hamed Yazdanpanah; Markus V. S. Lima (ICASSP, 2018)

Feature Normalized Lms Algorithms. - Hamed Yazdanpanah; José Antonio Apolinário (ACSSC, 2019)

A Simple Sparsity-aware Feature LMS Algorithm. - Gabriel S. Chaves; Markus V. S. Lima; Hamed Yazdanpanah; Paulo S. R. Diniz; Tadeu N. Ferreira (EUSIPCO, 2019)

Feature LMS Algorithm for Bandpass System Models. - Paulo S. R. Diniz; Hamed Yazdanpanah; Markus V. S. Lima (EUSIPCO, 2019)

L0-Norm Adaptive Volterra Filters. - Hamed Yazdanpanah; Alberto Carini; Markus V. S. Lima (EUSIPCO, 2019)

A Data-selective LS Solution to TDOA-based Source Localization. - José Antonio Apolinário; Hamed Yazdanpanah; A. S. Nascimento; Marcello L. R. de Campos (ICASSP, 2019)

Low-Complexity Feature Stochastic Gradient Algorithm for Block-Lowpass Systems. - Hamed Yazdanpanah; Paulo S. R. Diniz; Markus V. S. Lima (IEEE Access, 2019)

On Data-Selective Learning. - Hamed Yazdanpanah (CoRR, 2019)

A DATA-SELECTIVE LS SOLUTION TO TDOA-BASED SOURCE LOCALIZATION. - José Antonio Apolinário; Hamed Yazdanpanah; Antonio Nascimento; Marcello L. R. de Campos (IEEE DataPort, 2019)

A Variable Step-Size for Sparse Nonlinear Adaptive Filters. - Alberto Carini; Markus V. S. Lima; Hamed Yazdanpanah; Simone Orcioni; Stefania Cecchi (EUSIPCO, 2020)

Feature Affine Projection Algorithms. - Hamed Yazdanpanah (ICASSP, 2020)

Improved simple set-membership affine projection algorithm for sparse system modelling: Analysis and implementation. - Hamed Yazdanpanah; Paulo S. R. Diniz; Markus V. S. Lima (IET Signal Process., 2020)

Feature Adaptive Filtering: Exploiting Hidden Sparsity. - Hamed Yazdanpanah; Paulo S. R. Diniz; Markus V. S. Lima (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Sidewalk Measurements from Satellite Images: Preliminary Findings. - Maryam Hosseini; Iago Breno Araujo; Hamed Yazdanpanah; Eric K. Tokuda; Fabio Miranda 001; Cláudio T. Silva; Roberto M. Cesar Jr. (CoRR, 2021)

The Extended Feature LMS Algorithm: Exploiting Hidden Sparsity for Systems with Unknown Spectrum. - Hamed Yazdanpanah; José Antonio Apolinário (Circuits Syst. Signal Process., 2021)

High-resolution time-frequency hilbert transform using sparsity-aware weighting function. - Mohsen Kazemnia Kakhki; Peyman Poor Moghaddam; Hamed Yazdanpanah; Webe João Mansur (Earth Sci. Informatics, 2021)

Set-Membership Constrained Frequency-Domain Algorithm. - Markus V. S. Lima; Paulo S. R. Diniz; Hamed Yazdanpanah (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Clinical Deterioration Prediction in Brazilian Hospitals Based on Artificial Neural Networks and Tree Decision Models. - Hamed Yazdanpanah; Augusto C. M. Silva; Murilo Guedes; Hugo M. P. Morales; Leandro dos Santos Coelho; Fernando G. Moro (CoRR, 2022)

Enhancing Credit Risk Reports Generation using LLMs: An Integration of Bayesian Networks and Labeled Guide Prompting. - Ana Clara Teixeira; Vaishali Marar; Hamed Yazdanpanah; Aline Pezente; Mohammad M. Ghassemi (ICAIF, 2023)

Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment. - Ana Clara Teixeira; Hamed Yazdanpanah; Aline Pezente; Mohammad M. Ghassemi (ICAIF, 2023)

Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting. - Hamed Yazdanpanah; Ana Clara Teixeira; Vaishali Marar; Aline Pezente; Mohammad M. Ghassemi (EUSIPCO, 2024)