Results 11 to 20 of about 7,362,198 (297)
International Journal of Engineering and Advanced Technology, 2020 Knowledge representation is an emerging field of research in Artificial Intelligence, Big data analytics, Semantic web, and Data Mining. Knowledge represented in an effective way helps in easy traversal, searching, reasoning, prediction, and inference.
Samridha M +3 more
semanticscholar +3 more sources
Age differences in semantic network structure: Acquiring knowledge shapes semantic memory. [PDF]
Psychol Aging, 2023 Computational research suggests that semantic memory, operationalized as semantic memory networks, undergoes age-related changes. Previous work suggests that concepts in older adults' semantic memory networks are more separated, more segregated, and less
Cosgrove AL +3 more
europepmc +2 more sources
WikiLink: An Encyclopedia-Based Semantic Network for Design Creativity. [PDF]
J Intell, 2022 Data-driven design is a process to reuse data sources and provide valuable information to provoke creative ideas in the stages of design. However, existing semantic networks for design creativity are built on data sources restricted to technological and ...
Zuo H +5 more
europepmc +3 more sources
Semantic Diffusion Network for Semantic Segmentation [PDF]
Neural Information Processing Systems, 2023 Precise and accurate predictions over boundary areas are essential for semantic segmentation. However, the commonly-used convolutional operators tend to smooth and blur local detail cues, making it difficult for deep models to generate accurate boundary predictions.
Tan, Haoru, Wu, Sitong, Pi, Jimin
openaire +3 more sources
Parcellation-based anatomic model of the semantic network. [PDF]
Brain Behav, 2021 The semantic network is an important mediator of language, enabling both speech production and the comprehension of multimodal stimuli. A major challenge in the field of neurosurgery is preventing semantic deficits.
Milton CK +15 more
europepmc +2 more sources
Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China. [PDF]
Telemat Inform, 2021 The development and uptake of the COVID-19 (coronavirus disease 2019) vaccine is a top priority in stifling the COVID-19 pandemic. How the public perceives the COVID-19 vaccine is directly associated with vaccine compliance and vaccination coverage ...
Luo C, Chen A, Cui B, Liao W.
europepmc +2 more sources
Side Adapter Network for Open-Vocabulary Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2023 This paper presents a new framework for open-vocabulary semantic segmentation with the pre-trained vision-language model, named Side Adapter Network (SAN). Our approach models the semantic segmentation task as a region recognition problem. A side network
Mengde Xu +4 more
semanticscholar +1 more source
SNAFU: The Semantic Network and Fluency Utility. [PDF]
Behav Res Methods, 2020 The verbal fluency task—listing words from a category or words that begin with a specific letter—is a common experimental paradigm that is used to diagnose memory impairments and to understand how we store and retrieve knowledge.
Zemla JC +3 more
europepmc +2 more sources
PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers [PDF]
Computer Vision and Pattern Recognition, 2022 Two-branch network architecture has shown its efficiency and effectiveness in real-time semantic segmentation tasks. However, direct fusion of high-resolution details and low-frequency context has the drawback of detailed features being easily ...
Jiacong Xu +2 more
semanticscholar +1 more source
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 As acquiring pixel-wise annotations of real-world images for semantic segmentation is a costly process, a model can instead be trained with more accessible synthetic data and adapted to real images without requiring their annotations.
Lukas Hoyer, Dengxin Dai, L. Gool
semanticscholar +1 more source