[PDF] Top 20 Classification for DGA-Based Malicious Domain Names with Deep Learning Architectures
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Classification for DGA-Based Malicious Domain Names with Deep Learning Architectures
... DGAs domain names rather than ...DGAs domain names. This is known as “transfer learning” ...Transfer learning is used to improve a high-performance learner for a target ... See full document
5
Lung Disease Classification using GLCM and Deep Features from Different Deep Learning Architectures with Principal Component Analysis
... a deep learning approach to form a new set of deep features for various classification purposes and modalities such as ocular (Awais, Muller, & Meriaudeau, 2017), lung (Hooda, Sofat, Kaur, ... See full document
14
An Empirical Evaluation of various Deep Learning Architectures for Bi Sequence Classification Tasks
... sequence classification). For several single sequence classification tasks, the current state-of- the-art approaches are based on recurrent and convolutional neural ...bi-sequence ... See full document
12
An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures
... Computational Learning person detection ...dictionary learning method to obtain a sparse expression of an image, which was called Histograms of Sparse ...detector based on co-occurrence features, ... See full document
9
Deep Learning Architectures for Novel Problems
... Convolutional Neural Networks (CNNs) have forever changed the pattern recog- nition landscape with breakthrough results on image classification [2, 3, 4, 5], object detection [6, 7], and speech recognition [8]. It ... See full document
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Unified Framework For Deep Learning Based Text Classification
... Deep learning models are based on artificial neural networks, which are inspired by biological brain model made of ...typical deep learning architecture has three components namely ... See full document
5
A Study on Deep Learning Networks for Detecting Alzheimer’s Disease Gayathri V S 1and Deepa P L2
... terms Deep Learning provides many applications by achieving great ...conventional learning architectures, Deep learning provides better data representation of high level features ... See full document
7
A Survey on Video Classification Methods Based on Deep Learning
... All the methods we covered only pay attention to the characteristics of the image modality in the video, and ignoring the audio and text information attached to the video. But in reality, human brain can detect events or ... See full document
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Deep Learning-Based Classification of Remote Sensing Image
... Abstract: Deep Learning networks have sharply increased over the past 10 years, and deep Learning-Based Classification of Remote Sensing Image has attracted extensive ... See full document
5
An empirical analysis of Brazilian courts law documents using learning techniques
... for classification and pattern recognition, based on Multi-Layer Perceptron and Radial-basis Func- tions, associated with data organisation techniques and behavioral modalities ... See full document
8
Second Order Online Active Learning based Malicious Web Classification
... active learning gives a larger number of advantages than in the stationary simple of the ...dynamic learning is a ceaselessly developing region in ML ... See full document
5
An Accurate Method Based on Deep Learning Architectures for Real world Object Detection
... methods based on deep neural networks[5,6,7,8] that reaching a high level in object detection such as Faster-RCNN[9], SSD[10], YOLO[11], especially YOLOv2[12], which holds the state-of-the-art performance ... See full document
10
Analytic System Based on Prediction Analysis of Social Emotions from users
... module based on emotion detection regarding to the product reviews based on mining with reviews , feedback, complaints given by users this will help us the user for giving the instant and fast response and ... See full document
5
HGSGNLP at IEST 2018: An Ensemble of Machine Learning and Deep Neural Architectures for Implicit Emotion Classification in Tweets
... Our submitted system is an ensemble of four broad sets of approaches combined using a weighted average of the separate predictions. One approach uses traditional lexicon-based method to train a logistic regression ... See full document
6
Optimization Based Fuzzy Deep Learning Classification For Sentiment Analysis
... The main shortcoming of Grey Wolf Optimizer (GWO) is the complexity in the distance based path detection. The existing GWO algorithm is modified to reduce the distance of data. The Modified GWO (MGWO) algorithm ... See full document
7
Deep Learning as a Frontier of Machine Learning: A Review
... machine learning which is because of advancement and introduction of deep ...of learning and a higher level of abstraction, deep learning models have an advantage over conventional ... See full document
9
THIN FILM ROUGHNESS OPTIMIZATION IN THE TIN COATINGS USING GENETIC ALGORITHMS
... Deep Learning for plant leaf analysis has been recently studied in various ...Transfer Learning has been utilized, where the weights of networks, which are stored in the pre-trained models, are ... See full document
9
Novel Intrusion Detection in MANETs based on Trust
... the malicious nodes from the normal ...Extreme Learning Machines which proved better than all these classifiers in ...trust based mechanism and multi-class ... See full document
5
Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE
... Deep learning is part of a broader family of machine learning methods based on learning representations of ...the learning task ...of deep learning is replacing ... See full document
5
Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
... As a preprocessing step, we performed case- folding of all the words and removal of punctua- tions. The code for tokenization was taken from (Devlin et al., 2018) which seems to properly sep- arate the word tokens and ... See full document
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