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Saeed Masoudnia
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2020 – today
- 2022
- [j7]Amin Amiri Tehrani Zade
, Maryam Jalili Aziz, Saeed Masoudnia
An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach. Comput. Biol. Medicine 148: 105917 (2022) - [c7]Ashkan Nejad, Saeed Masoudnia
A Fast and Memory-Efficient Brain MRI Segmentation Framework for Clinical Applications. EMBC 2022: 2140-2143 - [c6]Nima Hashemi
A Memory-efficient Deep Framework for Multi-Modal MRI-based Brain Tumor Segmentation. EMBC 2022: 3749-3752 - 2020
- [i5]Saeed Masoudnia, Melika Kheirieh, AbdolHossein Vahabie, Babak Nadjar Araabi:
Attention-based Assisted Excitation for Salient Object Segmentation. CoRR abs/2003.14194 (2020)
2010 – 2019
- 2019
- [j6]Saeed Masoudnia
Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs. Expert Syst. Appl. 133: 317-330 (2019) - [c5]Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CVPR 2019: 9201-9210 - [i4]Omid Mersa, Farhood Etaati, Saeed Masoudnia, Babak Nadjar Araabi:
Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach. CoRR abs/1903.06249 (2019) - [i3]Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini, Babak Nadjar Araabi:
Active Transfer Learning for Persian Offline Signature Verification. CoRR abs/1903.06255 (2019) - [i2]Saeed Masoudnia, Omid Mersa, Babak Nadjar Araabi, AbdolHossein Vahabie, Mohammad Amin Sadeghi, Majid Nili Ahmadabadi:
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs. CoRR abs/1903.06536 (2019) - [i1]Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi, Mohammad Rastegari, Babak Nadjar Araabi:
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors. CoRR abs/1906.05388 (2019) - 2017
- [c4]Saeed Masoudnia, AbdolHossein Vahabie, Majid Nili Ahmadabadi, Babak Nadjar Araabi:
Attention Modulation Effects on Visual Feature-selectivity of Neurons in Brain-inspired Categorization Models. CogSci 2017 - 2014
- [j5]Saeed Masoudnia
Mixture of experts: a literature survey. Artif. Intell. Rev. 42(2): 275-293 (2014) - 2013
- [j4]Reza Ebrahimpour
Improving combination method of NCL experts using gating network. Neural Comput. Appl. 22(1): 95-101 (2013) - 2012
- [j3]Saeed Masoudnia
Combining features of negative correlation learning with mixture of experts in proposed ensemble methods. Appl. Soft Comput. 12(11): 3539-3551 (2012) - [j2]Reza Ebrahimpour, Naser Sadeghnejad, Saeed Masoudnia, Seyed Ali Asghar AbbasZadeh Arani:
Boosted Pre-loaded Mixture of Experts for low-resolution face recognition. Int. J. Hybrid Intell. Syst. 9(3): 145-158 (2012) - [j1]Saeed Masoudnia
Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts. Neural Process. Lett. 36(1): 31-47 (2012) - 2010
- [c3]Mohammad Sajjad Ghaemi, Saeed Masoudnia
A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates. ICONIP (1) 2010: 470-477 - [c2]Saeed Masoudnia
Evidence-based mixture of MLP-experts. IJCNN 2010: 1-7 - [c1]Arash Iranzad, Saeed Masoudnia
Using NCL, an effective way to improve combination methods of neural classifiers. SoCPaR 2010: 309-313
Coauthor Index
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