AIMC Topic: Semantics
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Configurable Graph Reasoning for Visual Relationship Detection.
IEEE transactions on neural networks and learning systems
Jan 5, 2022
Visual commonsense knowledge has received growing attention in the reasoning of long-tailed visual relationships biased in terms of object and relation labels. Most current methods typically collect and utilize external knowledge for visual relations...
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification.
IEEE transactions on neural networks and learning systems
Jan 5, 2022
Face is one of the most attractive sensitive information in visual shared data. It is an urgent task to design an effective face deidentification method to achieve a balance between facial privacy protection and data utilities when sharing data. Most...
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization.
Journal of biomedical informatics
Jan 4, 2022
OBJECTIVE: This paper aims to propose knowledge-aware embedding, a critical tool for medical term normalization.
Multipath Cross Graph Convolution for Knowledge Representation Learning.
Computational intelligence and neuroscience
Dec 28, 2021
In the past, most of the entity prediction methods based on embedding lacked the training of local core relationships, resulting in a deficiency in the end-to-end training. Aiming at this problem, we propose an end-to-end knowledge graph embedding re...
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.
IEEE transactions on visualization and computer graphics
Dec 24, 2021
Existing research on making sense of deep neural networks often focuses on neuron-level interpretation, which may not adequately capture the bigger picture of how concepts are collectively encoded by multiple neurons. We present Neurocartography, an ...
Cross-Modal Sentiment Sensing with Visual-Augmented Representation and Diverse Decision Fusion.
Sensors (Basel, Switzerland)
Dec 23, 2021
The rising use of online media has changed the social customs of the public. Users have become accustomed to sharing daily experiences and publishing personal opinions on social networks. Social data carrying emotion and attitude has provided signifi...
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread.
IEEE transactions on cybernetics
Dec 22, 2021
Recently, deep convolutional neural networks have achieved significant success in salient object detection. However, existing state-of-the-art methods require high-end GPUs to achieve real-time performance, which makes it hard to adapt to low cost or...
EMPAIA App Interface: An open and vendor-neutral interface for AI applications in pathology.
Computer methods and programs in biomedicine
Dec 21, 2021
BACKGROUND AND OBJECTIVE: Artificial intelligence (AI) apps hold great potential to make pathological diagnoses more accurate and time efficient. Widespread use of AI in pathology is hampered by interface incompatibilities between pathology software....
Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.
Sensors (Basel, Switzerland)
Dec 21, 2021
The automatic extraction of biomedical events from the scientific literature has drawn keen interest in the last several years, recognizing complex and semantically rich graphical interactions otherwise buried in texts. However, very few works revolv...
Event parsing and the origins of grammar.
Wiley interdisciplinary reviews. Cognitive science
Dec 20, 2021
How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed to enable grammar. The present analysis departs from the observation that linguistic communication is structured in terms of agents and patients, a r...
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