Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering. - Fatemeh Daneshfar; Javad RavanJamJah; Fathollah Mansoori; Hassan Bevrani; Bahram Zahir Azami (VTC Spring, 2009)

Reinforcement Learning based Multi-agent LFC Design Concerning the Integration of Wind Farms. - Hassan Bevrani; Fatemeh Daneshfar; Pourya Ranjbar Daneshmand; Takashi Hiyama (CCA, 2010)

Intelligent automatic generation control: Multi-agent Bayesian networks approach. - Hassan Bevrani; Fatemeh Daneshfar; Pourya Ranjbar Daneshmand (ISIC, 2010)

A New Intelligent Agent-Based AGC Design With Real-Time Application. - Hassan Bevrani; Fatemeh Daneshfar; Takashi Hiyama (IEEE Trans. Syst. Man Cybern. Part C, 2012)

A New Design of Intelligent Traffic Signal Control. - Fatemeh Daneshfar; Javad RavanJamJah (Int. J. Fuzzy Syst. Appl., 2013)

Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm. - Fatemeh Daneshfar; Seyed Jahanshah Kabudian (Multim. Tools Appl., 2020)

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. - Fatemeh Daneshfar; Seyed Jahanshah Kabudian (CoRR, 2021)

Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network. - Fatemeh Daneshfar; Seyed Jahanshah Kabudian (CoRR, 2021)

Transfer Learning for Low-Resource Sentiment Analysis. - Razhan Hameed; Sina Ahmadi; Fatemeh Daneshfar (CoRR, 2023)

An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse. - Fatemeh Daneshfar; Mohammad (Behdad) Jamshidi (Neural Networks, 2023)

The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement. - Eghbal Hosseini; Abbas M. Al-Ghaili; Dler Hussein Kadir; Fatemeh Daneshfar; Saraswathy Shamini Gunasekaran; Muhammet Deveci (IEEE Access, 2024)

Image captioning by diffusion models: A survey. - Fatemeh Daneshfar; Ako Bartani; Pardis Lotfi (Eng. Appl. Artif. Intell., 2024)

A survey on semi-supervised graph clustering. - Fatemeh Daneshfar; Sayvan Soleymanbaigi; Pedram Yamini; Mohammad Sadra Amini (Eng. Appl. Artif. Intell., 2024)

Autoencoders and their applications in machine learning: a survey. - Kamal Berahmand; Fatemeh Daneshfar; Elaheh Sadat Salehi; Yuefeng Li; Yue Xu 001 (Artif. Intell. Rev., 2024)

Elastic deep autoencoder for text embedding clustering by an improved graph regularization. - Fatemeh Daneshfar; Sayvan Soleymanbaigi; Ali Nafisi; Pedram Yamini (Expert Syst. Appl., 2024)

Enhanced text classification through an improved discrete laying chicken algorithm. - Fatemeh Daneshfar; Mohammad Javad Aghajani (Expert Syst. J. Knowl. Eng., 2024)

Automatic colorectal cancer detection using machine learning and deep learning based on feature selection in histopathological images. - Hawkar Haji Said Junaid; Fatemeh Daneshfar; Mahmud Abdulla Mohammad (Biomed. Signal Process. Control., 2025)

Multi-Objective Manifold Representation for Opinion Mining. - Pshtiwan Rahman; Fatemeh Daneshfar; Hashem Parvin (Expert Syst. J. Knowl. Eng., 2025)

Elastic deep multi-view autoencoder with diversity embedding. - Fatemeh Daneshfar; Bahar Sar-Saifee; Sayvan Soleymanbaigi; Mohammad Aeini (Inf. Sci., 2025)

Encoder-Decoder nonnegative matrix factorization with β-divergence for data clustering. - Sayvan Soleymanbaigi; Seyed Amjad Seyedi; Fardin Akhlaghian Tab; Fatemeh Daneshfar (Pattern Recognit., 2026)