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Pendar Alirezazadeh
Pendar Alirezazadeh
Computational Biology Data Scientist, DRFZ and Charité – Berlin University Medicine
在 drfz.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
A genetic algorithm-based feature selection for kinship verification
P Alirezazadeh, A Fathi, F Abdali-Mohammadi
IEEE Signal Processing Letters 22 (12), 2459-2463, 2015
782015
Representation learning-based unsupervised domain adaptation for classification of breast cancer histopathology images
P Alirezazadeh, B Hejrati, A Monsef-Esfahani, A Fathi
Biocybernetics and Biomedical Engineering 38 (3), 671-683, 2018
612018
A new Global-Gabor-Zernike feature descriptor and its application to face recognition
A Fathi, P Alirezazadeh, F Abdali-Mohammadi
Journal of Visual Communication and Image Representation 38, 65-72, 2016
532016
Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks
H Tavakoli, P Alirezazadeh, A Hedayatipour, AHB Nasib, N Landwehr
Computers and electronics in agriculture 181, 105935, 2021
512021
Improving deep learning-based plant disease classification with attention mechanism
P Alirezazadeh, M Schirrmann, F Stolzenburg
Gesunde Pflanzen 75 (1), 49-59, 2023
362023
Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks
P Alirezazadeh, F Rahimi-Ajdadi, Y Abbaspour-Gilandeh, N Landwehr, ...
Computers and Electronics in Agriculture 191, 106499, 2021
162021
Deep learning with discriminative margin loss for cross-domain consumer-to-shop clothes retrieval
P Alirezazadeh, F Dornaika, A Moujahid
Sensors 22 (7), 2660, 2022
102022
Effect of purposeful feature extraction in high-dimensional kinship verification problem
P Alirezazadeh, A Fathi, F Abdali-Mohammadi
Journal of Computing and Security 3 (3), 183-191, 2016
72016
A quadruplet loss for enforcing semantically coherent embeddings in multi-output classification problems
H Proença, E Yaghoubi, P Alirezazadeh
IEEE Transactions on Information Forensics and Security 16, 800-811, 2020
62020
Region-based cnns for pedestrian gender recognition in visual surveillance environments
E Yaghoubi, P Alirezazadeh, E Assunçao, JC Neves, H Proençaã
2019 International Conference of the Biometrics Special Interest Group …, 2019
62019
Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images
P Alirezazadeh, F Dornaika
Computers in Biology and Medicine 166, 107528, 2023
42023
Pose switch-based convolutional neural network for clothing analysis in visual surveillance environment
P Alirezazadeh, E Yaghoubi, E Assunção, JC Neves, H Proença
2019 International Conference of the Biometrics Special Interest Group …, 2019
42019
A comparative analysis of deep learning methods for weed classification of high-resolution UAV images
P Alirezazadeh, M Schirrmann, F Stolzenburg
Journal of Plant Diseases and Protection 131 (1), 227-236, 2024
32024
A deep learning loss based on additive cosine margin: Application to fashion style and face recognition
P Alirezazadeh, F Dornaika, A Moujahid
Applied Soft Computing 131, 109776, 2022
22022
Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification
P Alirezazadeh, F Dornaika, A Moujahid
Electronics 12 (20), 4356, 2023
12023
Weeds detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery
P Alirezazadeh, M Schirrmann, F Stolzenburg
Precision agriculture'23, 367-376, 2023
12023
Establishment of a UAV-based phenotyping method for European pear rust in fruit orchards
S Reim, V Maβ, P Alirezazadeh, J Seidl-Schulz, M Leipnitz, E Fritzsche, ...
Precision agriculture’23, 611-617, 2023
12023
2021 Index IEEE Transactions on Information Forensics and Security Vol. 16
A Abdelhadi, MAM Abdullah, Z Abdullah, AS Abrar, M Abulaish, ...
IEEE Transactions on Information Forensics and Security 16, 2021
2021
Soft Biometrics Analysis: Gender Estimation in Crowded Urban Environments
E Yaghoubi, P Alirezazadeh, E Assunção, JC Neves, H Proença
11th Conference on Telecommunications, 147-150, 2019
2019
Recognizing Pedestrian Clothing in Crowded Urban Environments Using Convolutional Neural Networks
P Alirezazadeh, E Yaghoubi, E Assunção, JC Neves, H Proença
11th Conference on Telecommunications, 155-158, 2019
2019
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