12 Result(s)
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Chapter and Conference Paper
Modeling on Outdoor Thermal Comfort in Traditional Residential Neighborhoods in Bei**g Based on GAN
With the support of new urban science and technology, the bottom-up and human-centered space quality research has become the key to delicacy urban governance, of which the Universal Thermal Climate Index (UTCI...
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Chapter and Conference Paper
Emerging Techniques for Online Learning Analytics
The rapid growth of online learning platforms presents both challenges and opportunities for educational institutions. Online learning analytics has the potential to extract valuable insights from student lear...
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Article
Industrial few-shot fractal object detection
In practical industrial visual inspection tasks, foreign object data are difficult to collect and accumulate, hence few-shot object detection has gradually become the focus of research. It has been observed th...
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Article
A novel feature and sample joint transfer learning method with feature selection in semi-supervised scenarios for identifying the sequence of some species with less known genetic data
When identifying the sequence of some species using fewer known gene training data (named target domain), the data of closely related species and unlabeled data of the species (named source domain) could be co...
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Chapter and Conference Paper
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
Recommender Systems for the IoT (RSIoT) aim for interactive item recommendations. Most existing methods focus on user feedback and have limitations in dealing with dynamic environments. Deep Reinforcement Lear...
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Chapter and Conference Paper
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment
Recommendation systems are crucial for providing services to the elderly with Alzheimer’s disease in IoT-based smart home environments. Therefore, we present a Reminder Care System to help Alzheimer patients l...
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Chapter and Conference Paper
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community
Community question answering (CQA) has attracted increasing attention recently due to its potential as a de facto knowledge base. Expert finding in CQA websites also has considerably board applications. Stack...
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Chapter and Conference Paper
Similarity-Aware Deep Attentive Model for Clickbait Detection
Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making th...
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Chapter and Conference Paper
Reminder Care System: An Activity-Aware Cross-Device Recommendation System
Alzheimer’s disease (AD) affects large numbers of elderly people worldwide and represents a significant social and economic burden on society, particularly in relation to the need for long term care facilitie...
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Article
A Survey on Expert Recommendation in Community Question Answering
Community question answering (CQA) represents the type of Web applications where people can exchange knowledge via asking and answering questions. One significant challenge of most real-world CQA systems is th...
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Chapter and Conference Paper
Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation
Meetup brings people with similar interests together to do things that matter to them. For example, it provides a platform for getting people who love hiking, coding, running marathons, learning foreign langua...
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Chapter and Conference Paper
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Electroencephalography (EEG) signal based intent recognition has recently attracted much attention in both academia and industries, due to hel** the elderly or motor-disabled people controlling smart devices...
