Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"Semantic interaction"”.
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ImageSI: Interactive Deep Learning for Image Semantic Interaction
… framework integrating deep learning models with semantic interaction techniques for interactive image data analysis. Unlike traditional methods, ImageSI directly incorporates user feedback into the image model, updating underlying embeddings through customized loss functions, thereby enhancing …
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Multi-Model Semantic Interaction for Scalable Text Analytics
… address this issue, we developed the multi-model semantic interaction (MSI) technique, which leverages user interactions to aid in the display layout (as was seen in previous semantic interaction work), forage for new, relevant documents as implied by the interactions, and then place them in …
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Human-AI Sensemaking with Semantic Interaction and Deep Learning
Human-AI interaction can improve overall performance, exceeding the performance that either humans or AI could achieve separately, thus producing a whole greater than the sum of the parts. Visual analytics enables collaboration between humans and AI through interactive visual interfaces. Semantic …
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A Bidirectional Pipeline for Semantic Interaction in Visual Analytics
Semantic interaction in visual data analytics allows users to indirectly adjust model parameters by directly manipulating the output of the models. This is accomplished using an underlying bidirectional pipeline that first uses statistical models to visualize the raw data. When a user interacts …
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Toward AI-Mediated Immersive Sensemaking with Gaze-Aware Semantic Interaction
… the experience with spatial memory and embodied interaction that can reduce this burden, but does not save the analyst from exhaustively browsing the corpus to find what matters. However, modern head-worn displays include eye tracking, creating an opportunity to infer an analyst's perceived …
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Semantic Interaction for Visual Analytics: Inferring Analytical Reasoning for Model Steering
User interaction in visual analytic systems is critical to enabling visual data exploration. Through interacting with visualizations, users engage in sensemaking, a process of developing and understanding relationships within datasets through foraging and synthesis. For example, two-dimensional …
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Semantic Interaction for Symmetrical Analysis and Automated Foraging of Documents and Terms
… or more thorough analyses. For example, semantic interaction techniques leverage natural or intuitive interactions, like highlighting text, to automatically update the visualization parameters using machine learning. However, this process of using machine learning based on user …
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Narrative Maps: A Computational Model to Support Analysts in Narrative Sensemaking
… framework with interactive AI techniques—using semantic interaction and explainable AI—to create an interactive narrative model that is capable of learning from user interactions to customize the narrative model based on the user's needs and providing explanations for each core component of the …
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Semantic role labeling using rich morphological features
… examine the impact of morphological features on semantic role labeling (SRL) in Modern Standard Arabic. This study provides the first rigorous examination of the effect of individual morphological attributes on the automatic classification of predicate-argument roles in Arabic. I obtain a …
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Conceptual design of an ontological approach to personalising GUISET portal
… results (recommendations). This work proposes semantic interaction of the GAF modelling components, which will not only improve the interaction, but also enhance the overall adaptation process. To enhance personalisation, this work introduced ontologies to model the knowledge about the …
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Explainable Interactive Projections for Image Data
… of the images. With an iterative cycle of semantic interaction and explainable-AI feedback, people can explore complex visual relationships in image data. Our approach to human-AI interaction integrates visual knowledge from both human mental models and pre-trained deep neural models to …
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Dimension Reduction and Clustering for Interactive Visual Analytics
… the design space for creating projections and interactions that include dimension reduction and clustering algorithms in the same visual interface. Further, I implement and evaluate three prototype tools that implement specific points within this design space. Finally, I run a cognitive study …
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Visual Analytics for High Dimensional Simulation Ensembles
… and statistics. In this work, we explore how semantic interaction and sensemaking could be used for building interactive and intelligent visual analysis tools for simulation ensembles. Specifically, we focus on the complex processes that derive meaningful insights from exploring and …