Saeed Masoudnia

Orcid: 0000-0002-2333-0550

According to our database1, Saeed Masoudnia authored at least 17 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach.
Comput. Biol. Medicine, 2022

A Fast and Memory-Efficient Brain MRI Segmentation Framework for Clinical Applications.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Memory-efficient Deep Framework for Multi-Modal MRI-based Brain Tumor Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2020
Attention-based Assisted Excitation for Salient Object Segmentation.
CoRR, 2020

2019
Multi-representational learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs.
Expert Syst. Appl., 2019

Active Transfer Learning for Persian Offline Signature Verification.
CoRR, 2019

Learning Representations from Persian Handwriting for Offline Signature Verification, a Deep Transfer Learning Approach.
CoRR, 2019

Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Attention Modulation Effects on Visual Feature-selectivity of Neurons in Brain-inspired Categorization Models.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2014
Mixture of experts: a literature survey.
Artif. Intell. Rev., 2014

2013
Improving combination method of NCL experts using gating network.
Neural Comput. Appl., 2013

2012
Incorporation of a Regularization Term to Control Negative Correlation in Mixture of Experts.
Neural Process. Lett., 2012

Boosted Pre-loaded Mixture of Experts for low-resolution face recognition.
Int. J. Hybrid Intell. Syst., 2012

Combining features of negative correlation learning with mixture of experts in proposed ensemble methods.
Appl. Soft Comput., 2012

2010
Using NCL, an effective way to improve combination methods of neural classifiers.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Evidence-based mixture of MLP-experts.
Proceedings of the International Joint Conference on Neural Networks, 2010

A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010


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