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Eftekhari, A.A.
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1

A Hybrid Method of Self-Supervised Graph Embedding, Siamese..:

, In: 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP),
Davar, Omid ; Eftekhari, Mahdi - p. 1-8 , 2024
Link: https://doi.org/10.1109/..
 
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2

Beyond Words: A Heterogeneous Graph Representation of Text ..:

, In: 2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP),
Rastakhiz, Fardin ; Davar, Omid ; Eftekhari, Mahdi - p. 1-7 , 2024
Link: https://doi.org/10.1109/..
 
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3

CI-VAE: a Generative Deep Learning Model for Class-Specific..:

, In: 2024 IEEE Conference on Artificial Intelligence (CAI),
Nabian, Mohsen ; Eftekhari, Zahra ; Wong, Chi Wah - p. 313-319 , 2024
Link: https://doi.org/10.1109/..
 
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4

Machine Learning Approaches for Crop Identification from Re..:

, In: Lecture Notes in Networks and Systems; Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022),
Wu, Falin ; Maleki, Reza ; Oubara, Amel... - p. 325-336 , 2023
Link: https://doi.org/10.1007/..
 
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5

Clinical Assessment of the Lower Eyelids:

, In: Plastic Surgery of the Lower Eyelids,
Jebaraj, Abigail ; Eftekhari, Kian - p. 11-21 , 2023
Link: https://doi.org/10.1007/..
 
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6

DINO-CXR: A Self Supervised Method Based on Vision Transfor..:

, In: Advances in Visual Computing; Lecture Notes in Computer Science,
Shakouri, Mohammadreza ; Iranmanesh, Fatemeh ; Eftekhari, Mahdi - p. 320-331 , 2023
Link: https://doi.org/10.1007/..
 
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7

A time and space optimal stable population protocol solving..:

, In: 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS),
Doty, David ; Eftekhari, Mahsa ; Gasieniec, Leszek... - p. 1044-1055 , 2022
Link: https://doi.org/10.1109/..
 
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8

A Hybrid Filter-Based Feature Selection Method via Hesitant..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 147-156 , 2022
Link: https://doi.org/10.1007/..
 
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9

Feature Selection Based on Regularization of Sparsity Based..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 157-167 , 2022
Link: https://doi.org/10.1007/..
 
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10

Fuzzy Partitioning of Continuous Attributes Through Crisp D..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 61-79 , 2022
Link: https://doi.org/10.1007/..
 
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11

Distributed Feature Selection: A Hesitant Fuzzy Correlation..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 133-146 , 2022
Link: https://doi.org/10.1007/..
 
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12

Comparing Different Stopping Criteria for Fuzzy Decision Tr..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 81-92 , 2022
Link: https://doi.org/10.1007/..
 
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13

Dynamic Ensemble Selection Based on Hesitant Fuzzy Multiple..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 107-117 , 2022
Link: https://doi.org/10.1007/..
 
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14

A Definition for Hesitant Fuzzy Partitions:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 41-49 , 2022
Link: https://doi.org/10.1007/..
 
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15

Unsupervised Feature Selection Method Based on Sensitivity ..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,
Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 51-57 , 2022
Link: https://doi.org/10.1007/..
 
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