AI Medical Compendium Topic:
Semantics

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Towards a characterization of apparent contradictions in the biomedical literature using context analysis.

Journal of biomedical informatics
BACKGROUND: With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critic...

A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering.

Computational intelligence and neuroscience
Deep learning is the crucial technology in intelligent question answering research tasks. Nowadays, extensive studies on question answering have been conducted by adopting the methods of deep learning. The challenge is that it not only requires an ef...

A Natural-language-based Visual Query Approach of Uncertain Human Trajectories.

IEEE transactions on visualization and computer graphics
Visual querying is essential for interactively exploring massive trajectory data. However, the data uncertainty imposes profound challenges to fulfill advanced analytics requirements. On the one hand, many underlying data does not contain accurate ge...

EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos.

IEEE transactions on visualization and computer graphics
Emotions play a key role in human communication and public presentations. Human emotions are usually expressed through multiple modalities. Therefore, exploring multimodal emotions and their coherence is of great value for understanding emotional exp...

Visual Interaction with Deep Learning Models through Collaborative Semantic Inference.

IEEE transactions on visualization and computer graphics
Automation of tasks can have critical consequences when humans lose agency over decision processes. Deep learning models are particularly susceptible since current black-box approaches lack explainable reasoning. We argue that both the visual interfa...

Architecture and usability of OntoKeeper, an ontology evaluation tool.

BMC medical informatics and decision making
BACKGROUND: The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automated tools may help to ease th...

Detection of medical text semantic similarity based on convolutional neural network.

BMC medical informatics and decision making
BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need to manually find and compare t...

A Neural Network-Inspired Approach for Improved and True Movie Recommendations.

Computational intelligence and neuroscience
In the last decade, sentiment analysis, opinion mining, and subjectivity of microblogs in social media have attracted a great deal of attention of researchers. Movie recommendation systems are the tools, which provide valuable services to the users. ...

TGV Upsampling: A Making-Up Operation for Semantic Segmentation.

Computational intelligence and neuroscience
With the widespread use of deep learning methods, semantic segmentation has achieved great improvements in recent years. However, many researchers have pointed out that with multiple uses of convolution and pooling operations, great information loss ...