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ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
Radiology narrative reports often describe characteristics of a patient’s disease, including its location, size, and shape. Motivated by the recent...
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Text-based emotion recognition using contextual phrase embedding model
In this paper, the proposed approach categories the sentences in the dataset into the various topical documents using the TE-LSTM+SC model. As well...
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Contextual topic discovery using unsupervised keyphrase extraction and hierarchical semantic graph model
Recent technological advancements have led to a significant increase in digital documents. A document’s key information is generally represented by...
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Contextual facilitation: Separable roles of contextual guidance and context suppression in visual search
Visual search is facilitated when targets are repeatedly encountered at a fixed position relative to an invariant distractor layout, compared to...
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Learning contextual representations for entity retrieval
In this paper, we introduce Contextual Entity Ranking (CoER) for the task of entity retrieval. CoER utilizes a textual knowledge graph to learn...
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A path model of contextual factors influencing science teachers’ Technological Pedagogical Content Knowledge
A three-phase exploratory sequential mixed-method study was conducted to propose and test a model showing the interrelationships among the contextual...
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Visual contextual relationship augmented transformer for image captioning
AbstractThe image captioning task is among the most important tasks in computer vision. Most existing methods mine more useful contextual information...
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ContextAug: model-domain failing test augmentation with contextual information
In the process of software development, the ability to localize faults is crucial for improving the efficiency of debugging. Generally speaking,...
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A semantic blocks model for human activity prediction in smart environments using time-windowed contextual data
Complex human activity prediction is a difficult problem for computer science. Simple behaviours can be mapped to sequence prediction algorithms with...
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A contextual-based approach for sarcasm detection
Sarcasm is a perplexing form of human expression that presents distinct challenges in understanding. The problem of sarcasm detection has centered...
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Toward a Dimensional Contextual Model of Moral Injury: A Sco** Review on Healthcare Workers
Purpose of ReviewHealthcare workers (HCWs) may be exposed to potentially morally injurious events (PMIEs) while on the job and consequently...
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ICSMPC: Design of an Iterative-Learning Contextual Side Chaining Model for Improving Security of Priority-Aware Cloud Resources
Purpose: A wide variety of encryption-based, key-exchange-based, privacy-based, and confidentiality-based models are proposed by researchers, which...
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Sociodemographic and psychological factors affecting motor vehicle crashes (MVCs): a classification analysis based on the contextual-mediated model of traffic-accident involvement
The study aimed to determine the sociodemographic and psychological profiles of drivers with a history of motor vehicle crashes (MVCs), following the...
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A Multi-model Recurrent Knowledge Graph Embedding for Contextual Recommendations
Recommenders can be improved by exploiting the huge disposal of multi-context data that is now available. Knowledge Graphs (KGs) offer an intuitive...
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Explainable contextual anomaly detection using quantile regression forests
Traditional anomaly detection methods aim to identify objects that deviate from most other objects by treating all features equally. In contrast,...
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YOLOv5s-Contextual-Fire: Introducing Contextual Transformer to YOLO for More Accurate Fire Detection
With the increase of buildings as well as the climate change, the number of fire accidents has gradually increased in recent years, bringing huge...
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Contextual fear memory impairment in Angelman syndrome model mice is associated with altered transcriptional responses
Angelman syndrome (AS) is a rare neurogenetic disorder caused by UBE3A deficiency and characterized by severe developmental delay, cognitive...
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CSAT-FTCN: A Fuzzy-Oriented Model with Contextual Self-attention Network for Multimodal Emotion Recognition
Multimodal emotion analysis has become a hot trend because of its wide applications, such as the question-answering system. However, in a real-world...
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Empowering neural collaborative filtering with contextual features for multimedia recommendation
A rapid growth in multimedia on various application platforms has made essential the provision of additional assistive technologies to handle...
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Contextual quantum metrology
We demonstrate that the contextuality of measurement selection can enhance the precision of quantum metrology with a simple linear optical...
