neural network classification task
Functional link neural network with modified bee firefly learning algorithm for classification task
... of classification tasks (Murtagh, 1991; Zhang et ...the network the ability to map both linear and non-linear relationship with a condition that, they are provided with a sufficient number of nodes and ...
69
Automatic Detection and Classification of Argument Components using Multi task Deep Neural Network
... This task is generally considered as a supervised text segmentation problem at word ...recurrent neural network) to ex- tract arguments from essays, editorials, and from user-generated ...
9
Prediction of Skin Cancer Using Morphological Neural Network Analysis
... deep neural networks for image ...image classification using MNNs, such as Chen et ...Complementary Neural Networks (CMTNN) and Error-Correcting Output Codes (ECOC) in solution multiclass ...
13
Cancer Diagnosis Using Fuzzy Min-Max Neural Network WithRule Extraction
... Max Neural Network for WBC ...automatic classification in different ...FMM network for cancer diagnosis and classification task has been ...
5
Gated Multi Task Network for Text Classification
... and neural networks has shown its advantages in many tasks, ranging from computer vision (Misra et ...the network learn a more univer- sal representation for the ...
6
An Attentive Neural Architecture for Fine grained Entity Type Classification
... based neural network model for the task of fine-grained entity type classification that un- like previously proposed models recursively composes representations of entity mention ...
6
Arabic Sentences Classification via Deep Learning
... convolutional neural networks in text classification applications and Semantic clustering, so convolutional neural network is used to model of short texts ...deep neural network, ...
7
Protection and Controlling of Transmission Lines by using Machine Learning Techinique
... important task in facility ...facility network, right from generation through transmission to distribution ...grid network for cover of conductor, generator protection, motor protection, real time ...
7
A Character Level Convolutional BiLSTM for Arabic Dialect Identification
... three-way classification task (Egyptian, Gulf, and Levantine), and a four-way classification task that adds the MSA dialect to the previous three-way ...convolution neural ...
5
A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images
... Angiomyolipoma and clear renal cell carcinoma are the primary subtypes of benign and malignant tumor sepa- rately. Quite resembling other subtypes, angiomyolipoma with minimal fat (AMF) is intractable to be ...
6
Performance evaluation of Convolutional Neural Network in classification of EEG signals based on attention task
... image classification recently. CNN has been used in various machine learning applications such as ImageNet [5]-[7], image segmentation [8], object detection [7], [9] and face recognition [10]-[12]. CNN had been ...
5
Modular Neural Network Approach for Data Classification
... Dataset contain the information of blood test which are thought to be sensitive to liver disorder that might arise from excessive alcohol consumption and the number of half print equivalents of alcoholic beverages drunk ...
9
Functional Link Artificial Neural Network for Classification Task in Data Mining
... Back-propagation classifier: Back-propagation classifiers form nonlinear discriminant functions using single- or multi-layer perceptrons with sigmoidal nonlinearities. They are trained with supervision, using ...
8
Automatic Multimodality Brain Tumor Detection
... images Classification is a difficult task due to the variance and complexity of ...two Neural Network techniques for the classification of the magnetic resonance human brain ...proposed ...
5
Multi-task deep learning from Sentinel-1 SAR: ship detection, classification and length estimation
... a task is very time consuming and cannot be conducted at a very large scale, while Sentinel-1 SAR data now provides regular, worldwide ...ral network for the detection, classification and length ...
5
Representation Learning Using Multi Task Deep Neural Networks for Semantic Classification and Information Retrieval
... The synergy between multi-task learning and neu- ral nets is quite natural; the general idea dates back to (Caruana, 1997). The main challenge is in design- ing the tasks and the network structure. For ...
10
Argument Component Classification for Classroom Discussions
... component classification for transcribed spoken classroom discussions, with the goal of automatically classifying student utterances into claims, evi- dence, and ...component classification developed for ...
11
Analysis and Recognition of Emotions Using Zernike Moment Based Facial Expression System
... the classification process is carried out by using ...the neural network to train it and then to identify the individual emotion for given ...tedious task of defining type of training ...
9
Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... ([KD11]) classifier diabetic retinopathy in fundus images by developed an automated classifier system. The authors used Adaptive Neuro-Fuzzy Inference System (ANFIS) to differentiate between normal and non-proliferative ...
8
Improving Machine Translation Quality Estimation with Neural Network Features
... of neural network language models (Bengio et al. 2003) and neural machine translation encoder-decoder frameworks (Bahdanau et ...QE task. In the word-level QE task, Kreutzer et ...
5