Peyman Hosseinzadeh Kassani

Orcid: 0000-0001-7736-3959

According to our database1, Peyman Hosseinzadeh Kassani authored at least 24 papers between 2015 and 2022.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants.
Nat. Mac. Intell., September, 2022

Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models.
Int. J. Medical Informatics, 2022

2021
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants.
CoRR, 2021

<i>k</i>-relevance vectors: Considering relevancy beside nearness.
Appl. Soft Comput., 2021

2020
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data.
IEEE Trans. Medical Imaging, 2020

Causality-Based Feature Fusion for Brain Neuro-Developmental Analysis.
IEEE Trans. Medical Imaging, 2020

Multimodal Sparse Classifier for Adolescent Brain Age Prediction.
IEEE J. Biomed. Health Informatics, 2020

Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach.
CoRR, 2020

Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Automatic Polyp Segmentation Using Convolutional Neural Networks.
Proceedings of the Advances in Artificial Intelligence, 2020

2019
k-Relevance Vectors for Pattern Classification.
CoRR, 2019

Depthwise Separable Convolutional Neural Network for Skin Lesion Classification.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

Diabetic Retinopathy Classification Using a Modified Xception Architecture.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019

Breast Cancer Diagnosis with Transfer Learning and Global Pooling.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

A Hybrid Deep Learning Architecture for Leukemic B-lymphoblast Classification.
Proceedings of the 2019 International Conference on Information and Communication Technology Convergence, 2019

Classification of histopathological biopsy images using ensemble of deep learning networks.
Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

2018
Sparse pseudoinverse incremental extreme learning machine.
Neurocomputing, 2018

Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches.
CoRR, 2018

Building an Ontology for the Domain of Plant Science using Protégé.
CoRR, 2018

2017
Evolutionary-modified fuzzy nearest-neighbor rule for pattern classification.
Expert Syst. Appl., 2017

A new sparse model for traffic sign classification using soft histogram of oriented gradients.
Appl. Soft Comput., 2017

2016
Pseudoinverse Matrix Decomposition Based Incremental Extreme Learning Machine with Growth of Hidden Nodes.
Int. J. Fuzzy Log. Intell. Syst., 2016

Application of soft Histogram of Oriented Gradient on traffic sign detection.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2015
Proposing a fast circular HOG descriptor for detecting rotated objects.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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