A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Cl

Ghadeer

#Lexicon-based #classification #customer #review #text analysis

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Integrating Multiplex Heterogeneous Network for Knowledge Tracing

Liqing Qiu,Si’ao Sun

#Knowledge tracing #multiplex heterogeneous networks #graph representation learning #pre-trained embeddings #graph convolutional networks

Pedestrian Target Recognition Algorithm in Public Places Based on Representation Learning and Similarity Learning

Xiaowen Li

#DenseNet #singular value decomposition #KNN algorithm #AM-softmax function #pedestrian target recognition

Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms

Hussam Alawneh,Ahmad Hasasneh

#Bone marrow transplant #hematopoietic stem cell #random forest #bagging #adaboost #gradient boost #decision tree #XGBoost

Speech-Based Techniques for Emotion Detection in Natural Arabic Audio Files

Ashraf Kaloub,Eltyeb Abed Elgabar

#Emotion detection #natural language processing #machine learning #Arabic language #acoustic features

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Semi-Supervised Kernel Discriminative Low-Rank Ridge Regression for Data Classification

Qi Zhu,Yong Peng

#Discriminative subspace #low-rank regression #kernel space #ridge regression #semi-supervised classification

3D VAE Video Prediction Model with Kullback Leibler Loss Enhancement

Zahraa Al Mokhtar,Shefa Dawwd

#3D sampling stage #kullback leibler loss #temporal 3D sampling stage #three dimensional RNN layers #variational autoencoder

HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

A New (k, n) Secret Image Sharing Scheme (SISS)

Amitava Nag,Sushanta Biswas,Debasree Sarkar,Partha Sarkar

#complete graph #spanning tree #Prüfer sequence #(k # n) threshold secret image sharing

Linking Palliative Homecare to the Universal Health Coverage Principles and the United Nations Sustainability Development Goals Using the i* Framework’s Strategic and Social Requirements Modelling, Applied to a Cancer Care Organisation

Yousra Odeh,Dina Tbaishat,Faten F. Kharbat,Omar Shamieh,Mohammed Odeh

#Universal health coverage #UNSDGs #i* framework #home health care #palliative care #goal-oriented modelling #social requirements modelling #cancer care process modelling #cancer care informatics #cancer care sociotechnical systems

New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

Meryeme Hadni,Hassane Hjiaj

#Chaotic method #firefly algorithm #arabic text categorization #feature selection

Developing a Novel Approach for Content Based

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Kernel Logistic Regression Algorithm for Large Scale Data Classification

classification problems. However, it is often not f ound in large+scale data classification problems an d this is mainly because it

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Speed up of Reindexing in Adaptive Particle Swarm Optimization

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Roiss Alhutaish and Nazlia Omar

# ATC # K-NN # similarity measures # feature selection m ethods