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mchouneche, algeria
It's currently 7:16 AM here
Joined March 27, 2020
0 Recommendations
Adel A.
@adelenpei
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mchouneche, algeria
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Deep Learning/ Computer Vision Specialist
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£96.00 GBP
Python
Machine Learning (ML)
Tensorflow
S
•
$20.00 USD
Python
Tensorflow
Keras
H
•
Experience
Research and Teaching Assistant
Oct 2022 - Present
Teaching undergrad and post grade student Artificial Intelligence classes.
Part time teacher
Oct 2019 - Present
I am teaching undergraduate student computer science classes.
Researcher
Oct 2018 - Present
As a PhD student in the intelligent informatics laboratory, i do many projects on medical images processing using Keras, Tensoflow, Scikit-learn
Education
PhD in Artificial Intelligence
(2 years)
Master
(2 years)
Licence
(3 years)
Qualifications
French Language Certificat
CIEP
2020
B2 in French
Machine Learning
Coursera
2017
Machine Learning certificate from Stanford Online. The class was taught by the Professor Andrew Ng in Coursera MOOC.
Publications
MIL for classifying histopathological images of the breast cancer using residual neural network
International Journal of Imaging Systems and Technology
In this article, we propose a novel classification layer based on multiple instances learning (MIL). In regular convolutional neural network (CNN) a flatten or a global pooling layer is used before the fully connected layers. However, in our proposed layer, we consider each last feature map in the network as an instance that will be classified by the output layer. Then, an aggregation function will be applied to get the class of the image (bag).
Combined Datasets For Breast Cancer Grading Based On Multi-CNN Architectures
IEEE
In this work, we propose a solution based on combining two different datasets for breast cancer grade detection. Our proposed method is about adding a new class (grade 0) to the three known classes of breast cancer grades, which make our model detect both the malignancy and the grade of the breast tumors.
Sentiment Analysis of Arabic Algerian Dialect Using a Supervised Method
ISACS'19 : International Conference on Intelligent Systems and Advanced Computing Sciences
In this work we applied supervised methods for sentiment analysis classification on the Algerian Arabic language, using both Support Vector Machine (SVM) algorithm and recurrent neural Networks (RNN).
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