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Article
Fake review detection techniques, issues, and future research directions: a literature review
Recently, the impact of product or service reviews on customers' purchasing decisions has become increasingly significant in online businesses. Consequently, manipulating reviews for fame or profit has become ...
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Article
Open AccessCOVID-19 detection from chest X-ray images using CLAHE-YCrCb, LBP, and machine learning algorithms
COVID-19 is a disease that caused a contagious respiratory ailment that killed and infected hundreds of millions. It is necessary to develop a computer-based tool that is fast, precise, and inexpensive to dete...
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Article
DHMFRD – TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings
Recently, there has been an increasing reward to manipulate product/ service reviews, mostly profit-driven, since positive reviews infer high business returns and vice versa. To combat this issue, experts in i...
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Article
A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings
Recently, product/ service reviews and online businesses have been similar to the blood–heart relationship as they greatly impact customers’ purchase decisions. There is an increasing incentive to manipulate r...
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Article
E-CapsGan: Generative adversarial network using capsule network as feature encoder
We explore using the theory of Capsule Network(CapsNet) in Generative Adversarial Network(GAN). The traditional Convolutional Neural Networks(CNNs) cannot explain the spatial relationship between the part and ...
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Article
Open AccessMonitoring cardiopulmonary resuscitation quality in emergency departments: a national survey in China on current knowledge, attitudes, and practices
To investigate current knowledge, attitudes, and practices for CPR quality control among emergency physicians in Chinese tertiary hospitals.
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Chapter and Conference Paper
Few-Shot Tumor Detection via Feature Reweighting and Knowledge Transferring
Tumor detection is a fundamental and difficult task for computer aided diagnose system. Due to the morphology of tumors varies greatly, it is difficult to train a general tumor detector for all kinds of tumors...
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Article
Review text based rating prediction approaches: preference knowledge learning, representation and utilization
Numerous rating prediction approaches have exploited users’ review texts to learn the associated preference knowledge or content semantics in order to make more accurate predictions. Such approaches either inv...
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Article
Deep learning techniques for rating prediction: a survey of the state-of-the-art
With the growth of online information, varying personalization drifts and volatile behaviors of internet users, recommender systems are effective tools for information filtering to overcome the information ove...
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Article
Open AccessPoly(I:C) preconditioning protects the heart against myocardial ischemia/reperfusion injury through TLR3/PI3K/Akt-dependent pathway
Emerging evidence suggests that Toll-like receptors (TLRs) ligands pretreatment may play a vital role in the progress of myocardial ischemia/reperfusion (I/R) injury. As the ligand of TLR3, polyinosinic-polycy...
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Article
Feature requests-based recommendation of software refactorings
Software requirements are ever-changing which often leads to software evolution. Consequently, throughout software lifetime, developers receive new requirements often expressed as feature requests. To implemen...
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Article
A survey on sentiment analysis of scientific citations
Sentiment analysis of scientific citations has received much attention in recent years because of the increased availability of scientific publications. Scholarly databases are valuable sources for publication...
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Article
Academic rising star prediction via scholar’s evaluation model and machine learning techniques
Predicting future academic rising stars provides a useful reference for research communities, such as offering decision support to recruit young researchers in research institutes. Academic rising stars predic...
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Chapter and Conference Paper
Improving Citation Sentiment and Purpose Classification Using Hybrid Deep Neural Network Model
Automated citation classification has received much attention in recent years from the research community. It has many benefits in the bibliometric field such as improving the methods of measuring publications...
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Article
Automatic approval prediction for software enhancement requests
Software applications often receive a large number of enhancement requests that suggest developers to fulfill additional functions. Such requests are usually checked manually by the developers, which is time c...
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Article
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
Recommender systems in e-learning domain play an important role in assisting the learners to find useful and relevant learning materials that meet their learning needs. Personalized intelligent agents and reco...
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Article
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining
The rapid evolution of the Internet has resulted in the availability of huge volumes of online learning resources on the web. However, many learners encounter difficulties in retrieval of suitable online learn...
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Chapter and Conference Paper
Citation Function Classification Based on Ontologies and Convolutional Neural Networks
In recent years, there has been significant growth in the use of citation to improve the methods of evaluating the quality of publications. To determine the quality of the publications, traditional methods suc...
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Chapter and Conference Paper
Unsupervised Automatic Text Style Transfer Using LSTM
In this paper, we focus on the problem of text style transfer which is considered as a subtask of paraphrasing. Most previous paraphrasing studies have focused on the replacements of words and phrases, which d...
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Chapter and Conference Paper
Citation Classification Using Multitask Convolutional Neural Network Model
In the recent years, there has been an increased availability of scientific publications across the world connected through citations. To help analyze this huge amount of information, citation classification h...
