Hamed Yazdanpanah

According to our database, Hamed Yazdanpanah authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting.

Hamed Yazdanpanah, Ana Clara Teixeira, Vaishali Marar, Aline Pezente, Mohammad M. Ghassemi

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Bayesian Networks Improve Out-of-Distribution Calibration for Agribusiness Delinquency Risk Assessment.

Ana Clara Teixeira, Hamed Yazdanpanah, Aline Pezente, Mohammad M. Ghassemi

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

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

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

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

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

High-resolution time-frequency hilbert transform using sparsity-aware weighting function.

Mohsen Kazemnia Khakhki, Peyman Poor Moghaddam, Hamed Yazdanpanah, Webe João Mansur

Earth Sci. Informatics, 2021

The Extended Feature LMS Algorithm: Exploiting Hidden Sparsity for Systems with Unknown Spectrum.

Hamed Yazdanpanah, José Antonio Apolinário

Circuits Syst. Signal Process., 2021

Sidewalk Measurements from Satellite Images: Preliminary Findings.

Maryam Hosseini, Iago Breno Araujo, Hamed Yazdanpanah, Eric K. Tokuda, Fabio Miranda, Cláudio T. Silva, Roberto M. Cesar Jr.

CoRR, 2021

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

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 Affine Projection Algorithms.

Hamed Yazdanpanah

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Variable Step-Size for Sparse Nonlinear Adaptive Filters.

Alberto Carini, Markus V. S. Lima, Hamed Yazdanpanah, Simone Orcioni, Stefania Cecchi

Proceedings of the 28th European Signal Processing Conference, 2020

2019

A DATA-SELECTIVE LS SOLUTION TO TDOA-BASED SOURCE LOCALIZATION.

José Antonio Apolinário, Hamed Yazdanpanah, Antonio Nascimento, Marcello L. R. de Campos

Dataset, April, 2019

On Data-Selective Learning.

Hamed Yazdanpanah

CoRR, 2019

Low-Complexity Feature Stochastic Gradient Algorithm for Block-Lowpass Systems.

Hamed Yazdanpanah, Paulo S. R. Diniz, Markus V. S. Lima

IEEE Access, 2019

A Data-selective LS Solution to TDOA-based Source Localization.

José Antonio Apolinário, Hamed Yazdanpanah, A. S. Nascimento, Marcello L. R. de Campos

Proceedings of the IEEE International Conference on Acoustics, 2019

L0-Norm Adaptive Volterra Filters.

Hamed Yazdanpanah, Alberto Carini, Markus V. S. Lima

Proceedings of the 27th European Signal Processing Conference, 2019

Feature LMS Algorithm for Bandpass System Models.

Paulo S. R. Diniz, Hamed Yazdanpanah, Markus V. S. Lima

Proceedings of the 27th European Signal Processing Conference, 2019

A Simple Sparsity-aware Feature LMS Algorithm.

Gabriel S. Chaves, Markus V. S. Lima, Hamed Yazdanpanah, Paulo S. R. Diniz, Tadeu N. Ferreira

Proceedings of the 27th European Signal Processing Conference, 2019

Feature Normalized Lms Algorithms.

Hamed Yazdanpanah, José Antonio Apolinário

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Feature LMS Algorithms.

Paulo S. R. Diniz, Hamed Yazdanpanah, Markus V. S. Lima

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

l0-Norm Feature LMS Algorithms.

Hamed Yazdanpanah, José Antonio Apolinário, Paulo S. R. Diniz, Markus V. S. Lima

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

New Trinion and Quaternion Set-Membership Affine Projection Algorithms.

Hamed Yazdanpanah, Paulo S. R. Diniz

IEEE Trans. Circuits Syst. II Express Briefs, 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

Recursive Least-Squares algorithms for sparse system modeling.

Hamed Yazdanpanah, Paulo S. R. Diniz

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Data censoring with set-membership algorithms.

Paulo S. R. Diniz, Hamed Yazdanpanah

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

On the robustness of the set-membership NLMS algorithm.

Hamed Yazdanpanah, Markus V. S. Lima, Paulo S. R. Diniz

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Improved set-membership partial-update affine projection algorithm.

Paulo S. R. Diniz, Hamed Yazdanpanah

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A simple set-membership affine projection algorithm for sparse system modeling.

Hamed Yazdanpanah, Paulo S. R. Diniz, Markus V. S. Lima

Proceedings of the 24th European Signal Processing Conference, 2016