Encoder-Decoder Nonnegative Matrix Factorization with β Divergence for Data Clustering
Sayvan Soleymanbaigi, Seyed Amjad Seyedi, Fardin Akhlaghian Tab, Fatemeh Daneshfar
(2026)
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A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges
Kamal Berahmand, Fatemeh Daneshfar, Maryam Rahmanian, Maryam Haghighat, Mahdi Jalili
(2025)
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Multi‐Objective Manifold Representation for Opinion Mining
Pshtiwan Rahman Raheem, Fatemeh Daneshfar, Hashem Parvin
(2025)
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Elastic deep multi-view autoencoder with diversity embedding
Fatemeh Daneshfar, Bahar Sar Saifee, Sayvan Soleymanbaigi, Mohammad Aeini
(2025)
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Image captioning by diffusion models: A survey
Fatemeh Daneshfar, Ako Bartani, Pardis Lotfi
(2024)
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The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
Eqbal Hosseini, Abbas Al-Ghaili, Dler Hussein Kadir, Fatemeh Daneshfar, Saraswathy Shamini Gunasekaran, Muhammet Deveci
(2024)
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Machine Learning Techniques in Enhanced Oil Recovery Screening Using Semisupervised Label Propagation
Pouya Vaziri, Sanyar Ahmadi, Fatemeh Daneshfar, Behnam Sedaee, Hamzeh Alimohammadi, Mohammad Reza Rasaei
(2024)
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A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, Pedram Yamini, Mohammad Sadra Amini
(2024)
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Autoencoders and their applications in machine learning: a survey
Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi, Yuefeng Li, Yue Xu
(2024)
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A Review of the Potential of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading
mohammad jamshidi, sobhan roshani, Jakub Talla, ali lalbakhsh, Zdenˇek Peroutka, Fatemeh Daneshfar, zahra malek, Fariborz Parandin, saeed roshani
(2022)
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Hybrid Deep Learning Techniques for Predicting Complex Phenomena: A Review on COVID-19
mohammad jamshidi, sobhan roshani, Fatemeh Daneshfar, ali lalbakhsh, saeed roshani, pedram lalbakhsh, farima hadjilooei, Alireza Jamshidi, Zdenˇek Peroutka, Jakub Talla, zahra malek, Fariborz Parandin
(2022)
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