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Enhanced Conceptual Modeling
This chapter discusses three issues that can push a conceptual design beyond essential modeling toward greater richness, sometimes at the cost of...
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A Meta-Design Method for Modeling Customer Value
Customer value, which is the utility of goods and services assessed from the perspective of a customer, is at the core of every healthy organization....
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Investigating better context representations for generative question answering
Generating natural language answers for question-answering (QA) tasks has recently surged in popularity with the rise of task-based personalized...
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trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes
Query auto-completion (QAC) aims at suggesting plausible completions for a given query prefix. Traditionally, QAC systems have leveraged tries...
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A transformer framework for generating context-aware knowledge graph paths
Contextual Path Generation (CPG) refers to the task of generating knowledge path(s) between a pair of entities mentioned in an input textual context...
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Adaptive context-aware access control for IoT environments leveraging fog computing
The increasing use of the Internet of Things (IoT) has driven the demand for enhanced and robust access control methods to protect resources from...
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Modeling Publication Collection and Processing
Here, we summarize the main objectives of modeling COVID-19 in the literature and categorize the research on COVID-19 modeling. These research...
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Ontology-based security modeling in ArchiMate
Enterprise Risk Management involves the process of identification, evaluation, treatment, and communication regarding risks throughout the...
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Metaverse: Concept, Content and Context
The metaverse, a hybrid society of the real and the virtual is attracting significant attention from academia to industry and is starting to change...
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Sign language translation with hierarchical memorized context in question answering scenarios
Vision-based sign language translation (SLT) targets to translate sign language videos into understandable natural language sentences. Current SLT...
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Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression
Entropy modeling is a key component for high-performance image compression algorithms. Recent developments in autoregressive context modeling helped...
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Query-adaptive training data recommendation for cross-building predictive modeling
Predictive modeling in buildings is a key task for the optimal management of building energy. Relevant building operational data are a prerequisite...
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Multiple-input neural networks for time series forecasting incorporating historical and prospective context
Individual and societal systems are open systems continuously affected by their situational context. In recent years, context sources have been...
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Challenges in software model reuse: cross application domain vs. cross modeling paradigm
Software reuse is a common practice that aims to reduce costs and effort, while improving quality and productivity. However, it also raises...
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Foundations of Language Modeling
In this chapter, we first introduce the required background knowledge about computational language models. We describe the fundamental methodological...
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Attention-based global context network for driving maneuvers prediction
Driving maneuvers prediction is one of the most challenging tasks in modern Advanced Driver Assistance System. Such predictions can improve driving...
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Dual Context Network for real-time semantic segmentation
Real-time semantic segmentation is a challenging task as both segmentation accuracy and inference speed need to be considered at the same time. In...
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Live modeling in the context of state machine models and code generation
Live modeling has been recognized as an important technique to edit behavioral models while being executed and helps in better understanding the...
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Separately Guided Context-Aware Network for Weakly Supervised Temporal Action Detection
Weakly supervised temporal action detection uses the extracted appearance and motion features to localize the action segments in untrimmed videos...
