Author:Javad Hassannataj JoloudariPublications |
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EasyChair Preprint 10394 | EasyChair Preprint 9633 | EasyChair Preprint 9282 | EasyChair Preprint 7645 | EasyChair Preprint 7829 | EasyChair Preprint 7829 | EasyChair Preprint 7645 | EasyChair Preprint 6771 | EasyChair Preprint 6173 | Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Roohallah Alizadehsani, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari Kohnehshari, Edris Hassannatajjeloudari, Danial Sharifrazi, Amir Mosavi, Hui Wen Loh, Ru-San Tan and U Rajendra Acharya EasyChair Preprint 6048 | Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi and Amir Mosavi EasyChair Preprint 6048 | EasyChair Preprint 6771 | EasyChair Preprint 6173 | EasyChair Preprint 6330 | EasyChair Preprint 6330 | EasyChair Preprint 6173 | EasyChair Preprint 6173 | Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi and Amir Mosavi EasyChair Preprint 6048 | EasyChair Preprint 2467 | EasyChair Preprint 1824 |
KeyphrasesArtificial Intelligence2, Autoencoder, BERT, breast cancer, breast cancer dataset, Breast Cancer Detection, cancer mass, Cloud Computing, Confusion Matrix, Convolutional Neural Networks, coronary artery disease2, coronary artery disease diagnosis, Coronary Heart Disease, COVID-19, COVID-19 Diagnosis, cross validation technique, CT scan images, Data Mining, Data Mining Technique, Deep Convolutional Neural Network, deep learning4, Deep Neural Network2, developed country, diagnosis, Edge Computing, Electrocardiogram, ELM model, elm rbf model, emotion recognition, epithelial cell size, evaluation criterion, expert system, Extended Cohen-Kanade (CK+) Dataset, Extreme Learning Machine, Extreme Learning Machine (ELM), Face Embeddings, face recognition, Face Representation Learning, facial expression recognition, Facial Pose Reconstruction, feature extraction, first module, fold cross, fuzzy c-means clustering, Fuzzy Linguistic Variable, fuzzy rule, fuzzy system, Genetic Algorithm, Health Informatics, Heart Disease, hybrid machine learning, image analysis, Internet of Things, Latent Space Data Augmentation, linguistic variable, machine learning5, Malaria diagnosis, Malignant breast cancer, MobileViT2, multilayer fuzzy expert system, Myocardial Infarction Disease, Natural Language Processing, negative rate, neural network2, Optical Flow Algorithm, prediction, Predictive Features, Radial Basis Function, Radial Basis Function (RBF), Reinforcement Learning, resource allocation, rmse r2 mape model, Sentiment Analysis, Support Vector Machine2, Support Vector Machine (SVM), Tweets, Vision Transformers2, Wisconsin Dataset. |
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