E-LIB Suche - Ergebnisse für: Eftekhari, Mahdi

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

2

Low-Redundant Unsupervised Feature Selection based on Data ..:

Samareh-Jahani, Mahsa ; Saberi-Movahed, Farid ; Eftekhari, Mahdi..
Expert Systems with Applications. 240 (2024) - p. 122556 , 2024

Link: https://doi.org/10.1016/..

3

Evaluating traditional versus ensemble machine learning met..:

Kalantari, Elham ; Gholami, Hamid ; Malakooti, Hossein...
Atmospheric Pollution Research. 15 (2024) 5 - p. 102063 , 2024

Link: https://doi.org/10.1016/..

4

Effects of Feeding Glucogenic and Lipogenic Diets on Perfor..:

Alikhani, Masoud ; Mardan zadeh, Mohsen ; Riasi, Ahmad..
Farm Animal Health and Nutrition. 3 (2024) 1 - p. 28-35 , 2024

Link: https://doi.org/10.58803..

5

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/..

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/..

7

A novel framework based on the multi-label classification f..:

Elmi, Javad ; Eftekhari, Mahdi ; Mehrpooya, Adel.
International Journal of Machine Learning and Cybernetics. 14 (2023) 6 - p. 2137-2154 , 2023

Link: https://doi.org/10.1007/..

8

Unsupervised feature selection guided by orthogonal represe..:

Jahani, Mahsa Samareh ; Aghamollaei, Gholamreza ; Eftekhari, Mahdi.
Neurocomputing. 516 (2023) - p. 61-76 , 2023

Link: https://doi.org/10.1016/..

9

Image-Text Connection: Exploring the Expansion of the Diver..:

Mohammadi, Mahsa ; Eftekhari, Mahdi ; Hassani, Amirhossein
IEEE Access. 11 (2023) - p. 123209-123222 , 2023

Link: https://doi.org/10.1109/..

10

Prediction of the degree of steel corrosion damage in reinf..:

Rajabi, Zahra ; Eftekhari, Mahdi ; Ghorbani, Mohammad..
Soft Computing. 26 (2022) 18 - p. 9481-9496 , 2022

Link: https://doi.org/10.1007/..

11

Hesitant Fuzzy Decision Tree Approach for Highly Imbalanced..:

, In: How Fuzzy Concepts Contribute to Machine Learning; Studies in Fuzziness and Soft Computing,

Eftekhari, Mahdi ; Mehrpooya, Adel ; Saberi-Movahed, Farid. - p. 93-106 , 2022

Link: https://doi.org/10.1007/..

12

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/..

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/..

14

Decoding clinical biomarker space of COVID-19: Exploring ma..:

Saberi-Movahed, Farshad ; Mohammadifard, Mahyar ; Mehrpooya, Adel...
Computers in Biology and Medicine. 146 (2022) - p. 105426 , 2022

Link: https://doi.org/10.1016/..

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/..