Fatemeh Daneshfar

Orcid: 0000-0003-3150-3527

According to our database1, Fatemeh Daneshfar authored at least 14 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Enhanced text classification through an improved discrete laying chicken algorithm.
Expert Syst. J. Knowl. Eng., August, 2024

Elastic deep autoencoder for text embedding clustering by an improved graph regularization.
Expert Syst. Appl., March, 2024

Autoencoders and their applications in machine learning: a survey.
Artif. Intell. Rev., February, 2024

A survey on semi-supervised graph clustering.
Eng. Appl. Artif. Intell., 2024

2023
An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse.
Neural Networks, 2023

Transfer Learning for Low-Resource Sentiment Analysis.
CoRR, 2023

2021
Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network.
CoRR, 2021

Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method.
CoRR, 2021

2020
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm.
Multim. Tools Appl., 2020

2013
A New Design of Intelligent Traffic Signal Control.
Int. J. Fuzzy Syst. Appl., 2013

2012
A New Intelligent Agent-Based AGC Design With Real-Time Application.
IEEE Trans. Syst. Man Cybern. Part C, 2012

2010
Intelligent automatic generation control: Multi-agent Bayesian networks approach.
Proceedings of the 2010 IEEE International Symposium on Intelligent Control, 2010

Reinforcement Learning based Multi-agent LFC Design Concerning the Integration of Wind Farms.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering.
Proceedings of the 69th IEEE Vehicular Technology Conference, 2009


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