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Fatemeh Daneshfar
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2020 – today
- 2024
- [j8]Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, Yuefeng Li, Yue Xu:
Autoencoders and their applications in machine learning: a survey. Artif. Intell. Rev. 57(2): 28 (2024) - [j7]Fatemeh Daneshfar
, Sayvan Soleymanbaigi, Pedram Yamini
, Mohammad Sadra Amini
:
A survey on semi-supervised graph clustering. Eng. Appl. Artif. Intell. 133: 108215 (2024) - [j6]Fatemeh Daneshfar
, Mohammad Javad Aghajani:
Enhanced text classification through an improved discrete laying chicken algorithm. Expert Syst. J. Knowl. Eng. 41(8) (2024) - [j5]Fatemeh Daneshfar
, Sayvan Soleymanbaigi, Ali Nafisi
, Pedram Yamini
:
Elastic deep autoencoder for text embedding clustering by an improved graph regularization. Expert Syst. Appl. 238(Part A): 121780 (2024) - 2023
- [j4]Fatemeh Daneshfar
, Mohammad (Behdad) Jamshidi:
An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse. Neural Networks 163: 108-121 (2023) - [i3]Razhan Hameed, Sina Ahmadi, Fatemeh Daneshfar:
Transfer Learning for Low-Resource Sentiment Analysis. CoRR abs/2304.04703 (2023) - 2021
- [i2]Fatemeh Daneshfar, Seyed Jahanshah Kabudian:
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 abs/2111.07094 (2021) - [i1]Fatemeh Daneshfar, Seyed Jahanshah Kabudian:
Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network. CoRR abs/2111.07234 (2021) - 2020
- [j3]Fatemeh Daneshfar
, Seyed Jahanshah Kabudian
:
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm. Multim. Tools Appl. 79(1-2): 1261-1289 (2020)
2010 – 2019
- 2013
- [j2]Fatemeh Daneshfar
, Javad RavanJamJah:
A New Design of Intelligent Traffic Signal Control. Int. J. Fuzzy Syst. Appl. 3(3): 51-67 (2013) - 2012
- [j1]Hassan Bevrani
, Fatemeh Daneshfar
, Takashi Hiyama
:
A New Intelligent Agent-Based AGC Design With Real-Time Application. IEEE Trans. Syst. Man Cybern. Part C 42(6): 994-1002 (2012) - 2010
- [c3]Hassan Bevrani
, Fatemeh Daneshfar
, Pourya Ranjbar Daneshmand, Takashi Hiyama
:
Reinforcement Learning based Multi-agent LFC Design Concerning the Integration of Wind Farms. CCA 2010: 567-571 - [c2]Hassan Bevrani
, Fatemeh Daneshfar
, Pourya Ranjbar Daneshmand:
Intelligent automatic generation control: Multi-agent Bayesian networks approach. ISIC 2010: 773-778
2000 – 2009
- 2009
- [c1]Fatemeh Daneshfar
, Javad RavanJamJah, Fathollah Mansoori, Hassan Bevrani
, Bahram Zahir Azami:
Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering. VTC Spring 2009
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last updated on 2024-08-03 21:17 CEST by the dblp team
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