Search
Search Results
-
Visual sentiment analysis using data-augmented deep transfer learning techniques
The use of visual content to express emotions on social media platforms has become increasingly popular. Visual sentiment analysis can be used to...
-
Improving Cryptocurrency Visual Analysis with CryptoVisualizer+
With the rapid expansion of the cryptocurrency market, there is a growing need for tools that can effectively handle the complexity of cryptocurrency...
-
Visual analysis of air pollution spatio-temporal patterns
Advances in air monitoring methods have made it possible to analyze large-scale air pollution phenomena. Mining potential air pollution information...
-
Multi-level textual-visual alignment and fusion network for multimodal aspect-based sentiment analysis
Multimodal Aspect-Based Sentiment Analysis (MABSA) is an essential task in sentiment analysis that has garnered considerable attention in recent...
-
V4RIN: visual analysis of regional industry network with domain knowledge
The regional industry network (RIN) is a type of financial network derived from industry networks that possess the capability to describe the...
-
A visual analysis approach for data imputation via multi-party tabular data correlation strategies
Data imputation is an essential pre-processing task for data governance, aimed at filling in incomplete data. However, conventional data imputation...
-
Visual sentiment analysis using data-augmented deep transfer learning techniques
There has been a growing trend among users of social media platforms to express their emotions using visual content. Visual sentiment analysis is the...
-
Robust Analysis of Visual Question Answering Based on Irrelevant Visual Contextual Information
The growth of social media data has led to the development of VQA (Visual Question Answering) tasks, and the problem of VQA model robustness has...
-
Visual analysis of fitness landscapes in architectural design optimization
In architectural design optimization, fitness landscapes are used to visualize design space parameters in relation to one or more objective functions...
-
Privacy-preserving visual analysis: training video obfuscation models without sensitive labels
Visual analysis tasks, including crowd management, often require resource-intensive machine learning models, posing challenges for deployment on edge...
-
A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets
The visual modeling method enables flexible interactions with rich graphical depictions of data and supports the exploration of the complexities of...
-
Canonical correlation and visual analytics for water resources analysis
In the last decades, urbanization and population growth substantially increased water consumption for agricultural, industrial, and residential...
-
Visual Studio Extensibility Development Extending Visual Studio IDE for Productivity, Quality, Tooling, Analysis, and Artificial Intelligence
Master Visual Studio extensibility for an enhanced Visual Studio IDE experience. This book is a comprehensive guide that covers every facet of...
-
Multi-depth Fusion Transformer and Batch Piecewise Loss for Visual Sentiment Analysis
Visual sentiment analysis is an important research direction in the field of affective computing, which is of great significance in user behavior...
-
Emotion-wise feature interaction analysis-based visual emotion distribution learning
Image emotion is not exclusive, which makes emotion distribution learning more meaningful than emotion classification for visual emotion recognition....
-
SentiImgBank: A Large Scale Visual Repository for Image Sentiment Analysis
In contrast to existing methods which detect sentiment directly from low/high-level features, we construct a large-scale visual repository, namely...
-
A visual analysis approach for data transformation via domain knowledge and intelligent models
Industry benchmarking involves comparing and analyzing a company’s performance with other top-performing enterprises. PDF documents contain valuable...
-
Social robots supporting children’s learning and development: Bibliometric and visual analysis
The presence of social robots in children’s daily environments has steadily increased. With the advancement of artificial intelligence (AI), social...
-
Modular dual-stream visual fusion network for visual question answering
Object detection networks’ extracted region features have been pivotal in visual question answering (VQA) advancements. However, lacking global...
-
Comparing dimensionality reduction techniques for visual analysis of the LSTM hidden activity on multi-dimensional time series modeling
Long short-term memory (LSTM) network is widely applied to multi-dimensional time series modeling to solve many real-world problems, and visual...
