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Contextual semantic embeddings for ontology subsumption prediction
Automating ontology construction and curation is an important but challenging task in knowledge engineering and artificial intelligence. Prediction...
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Neocortical synaptic engrams for remote contextual memories
While initial encoding of contextual memories involves the strengthening of hippocampal circuits, these memories progressively mature to stabilized...
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Residual Contextual Hourglass Network for Single-Image Deraining
Rain streaks could blur and distort images, significantly impacting further image processing. Single-image deraining is a hotspot and has practical...
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A Contextual Information-Augmented Probabilistic Case-Based Reasoning Model for Knowledge Graph Reasoning
Knowledge Graph Reasoning (KGR) is one effective method to improve incompleteness and sparsity problems, which infers new knowledge based on existing...
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Impact of contextual factors on new product development process: evidence from a large company in Thailand
This research investigates the impacts of contextual factors, including organization-, project-, product-, and market-related factors, on New Product...
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Application of the Contextual Model of Learning and Situated Identity Model in Informal STEM Learning Research
In this chapter, we describe how we integrated Falk and Dierking’s Contextual Model of Learning (Falk and Dierking in AltaMira, 2000; Falk and...
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Graphs get personal: learning representation with contextual pretraining for collaborative filtering
The interactions of users and items in recommender systems can be naturally modeled as user-item bipartite graphs. The iterative propagation of graph...
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Introducing contextual transparency for automated decision systems
As automated decision systems (ADS) get more deeply embedded into business processes worldwide, there is a growing need for practical ways to...
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Incorporating contextual evidence to improve implicit discourse relation recognition in Chinese
The discourse analysis task, which focuses on understanding the semantics of long text spans, has received increasing attention in recent years. As a...
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Multi-contextual design of convolutional neural network for steganalysis
In recent times, deep learning-based steganalysis classifiers have become popular due to their state-of-the-art performance. Most deep steganalysis...
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Counterfactual contextual bandit for recommendation under delayed feedback
The recommendation system has far-reaching significance and great practical value, which alleviates people’s troubles about choosing from a huge...
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PredictionMiner: mining the latest individual behavioral rules for personalized contextual pattern predictions
The user’s behavior towards smartphone is not static and changes dynamically as the real world changes, depending on various contextual patterns....
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An efficient contextual glove feature extraction model on large textual databases
Keyphrase extraction is one of the major issues in large textual databases due to noise and high dimensional features. As the biomedical document...
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Contextual based hybrid classification with FCM to handle mixed pixels and edge preservation
This research paper introduces an innovative method for land cover classification in satellite imagery, specifically designed to address the...
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Kernel density estimation based factored relevance model for multi-contextual point-of-interest recommendation
An automated contextual suggestion algorithm is likely to recommend contextually appropriate and personalized ‘points-of-interest’ (POIs) to a user,...
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The cumulative effect of multi-contextual risk on problematic social media use in adolescents
Problematic social media use (PSMU) has been recognized as a growing concern among adolescents. This study aimed to estimate the cumulative effects...
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CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain
Several recent efforts have been devoted to enhancing pretrained language models (PLMs) by utilizing extra heterogeneous knowledge in knowledge...
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Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study
Recent advancements in natural language processing (NLP), particularly contextual word embedding models, have improved knowledge extraction from...
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A thalamic-hippocampal CA1 signal for contextual fear memory suppression, extinction, and discrimination
The adaptive regulation of fear memories is a crucial neural function that prevents inappropriate fear expression. Fear memories can be acquired...
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Contextual and individual inequalities in breast cancer screening participation and outcomes in Turin (North-West Italy)
Breast cancer incidence and screening participation exhibit an unequal distribution in the population. This study aims to investigate the impact of...