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检索条件"任意字段=IEEE Information Visualization Conference/IEEE Visualization Conference"

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Towards Differentiable Electron Microscopy Simulation: Methods and Applications 17

Towards Differentiable Electron Microscopy Simulation: Metho...

引用

17th Pacific visualization conference (PacificVis)

作者： Ngan Nguyen Liang, Feng Engel, Dominik Bohak, Ciril Strnad, Ondrej Ropinski, Timo Viola, Ivan King Abdullah Univ Sci & Technol Thuwal Saudi Arabia Ulm Univ Ulm Germany

ISBN: (纸本)9798350393811;9798350393804

We propose a new microscopy simulation system that can depict atomistic models in a micrograph visual style, similar to physical electron microscopy imaging results. This system is scalable, able to represent the simulation of electron microscopy of twenty complex viral particles, and synthesizes the image faster than previous approaches. Additionally, the simulator is differentiable in the deterministic and stochastic stages that form signal and noise representations in the micrograph. This allows for solving inverse problems by means of optimization and thus allows for the generation of microscopy simulations using parameter settings estimated from real data. We demonstrate this capability through two applications: (1) estimating the parameters of the modulation transfer function defining the detector properties of the simulated and real micrographs and (2) denoising the real data based on parameters optimized from the simulated examples using gradient descent. While current simulators do not support any parameter estimation due to their forward-only design, we show that the results obtained using estimated parameters are very similar to real micrographs. Additionally, we evaluate the denoising capabilities of our approach and show that the results are competitive with state-of-the-art methods. Denoised micrographs exhibit less noise in the tomographic reconstruction of tilt-series, facilitating visualization of microscopy tomography using direct volume rendering by reducing the visual dominance of noise.

关键词： Computing methodologies-Modeling and simulation-Simulation types and techniques-Scientific visualization Computing methodologies-Modeling and simulation-Simulation support systems-Simulation tools

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Concept visualization: Explaining the CLIP Multi-modal Embedding Using WordNet

Concept Visualization: Explaining the CLIP Multi-modal Embed...

引用

International Joint conference on Neural Networks (IJCNN)

作者： Giulivi, Loris Boracchi, Giacomo Politecn Milan DEIB Milan Italy

ISBN: (纸本)9798350359329;9798350359312

Advances in multi-modal embeddings, and in particular CLIP, have recently driven several breakthroughs in Computer Vision (CV). CLIP has shown impressive performance on a variety of tasks, yet, its inherently opaque architecture may hinder the application of models employing CLIP as backbone, especially in fields where trust and model explainability are imperative, such as in the medical domain. Current explanation methodologies for CV models rely on Saliency Maps computed through gradient analysis or input perturbation. However, these Saliency Maps can only be computed to explain classes relevant to the end task, often smaller in scope than the backbone training classes. In the context of models implementing CLIP as their vision backbone, a substantial portion of the information embedded within the learned representations is thus left unexplained. In this work, we propose Concept visualization (ConVis), a novel saliency methodology that explains the CLIP embedding of an image by exploiting the multi-modal nature of the embeddings. ConVis makes use of lexical information from WordNet to compute task-agnostic Saliency Maps for any concept, not limited to concepts the end model was trained on. We validate our use of WordNet via an out of distribution detection experiment, and test ConVis on an object localization benchmark, showing that Concept visualizations correctly identify and localize the image's semantic content. Additionally, we perform a user study demonstrating that our methodology can give users insight on the model's functioning.

关键词： visualization

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Simulating the Geometric Growth of the Marine Sponge Crella Incrustans

Simulating the Geometric Growth of the Marine Sponge Crella ...

引用

ieee conference on visualization and Visual Analytics (ieee VIS)

作者： O'Hagan, Joshua Chalmers, Andrew Rhee, Taehyun Victoria Univ Wellington Computat Media Innovat Ctr Wellington New Zealand

ISBN: (纸本)9798350325577

Simulating marine sponge growth helps marine biologists analyze, measure, and predict the effects that the marine environment has on marine sponges, and vice versa. This paper describes a way to simulate and grow geometric models of the marine sponge Crella incrustans while considering environmental factors including fluid flow and nutrients. The simulation improves upon prior work by changing the skeletal architecture of the sponge in the growth model to better suit the structure of Crella incrustans. The change in skeletal architecture and other simulation parameters are then evaluated qualitatively against photos of a real-life Crella incrustans sponge. The results support the hypothesis that changing the skeletal architecture from radiate accretive to Halichondrid produces a sponge model which is closer in resemblance to Crella incrustans than the prior work.

关键词： Computing methodologies Computer graphicsShape modeling Computing methodologies Modeling and simulation Human-centered computing visualization-Scientific visualization

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visualization Methods for Bookmarks to Facilitate Recall Them Recorded during Casual Web Browsing

Visualization Methods for Bookmarks to Facilitate Recall The...

引用

2024 ieee International conference on Consumer Electronics, ICCE 2024

作者： Sato, Riko Nakashima, Makoto Sato, Keizo Oita University Graduate School of Engineering Oita Japan Oita University Faculty of Science and Technology Oita Japan

ISBN: (纸本)9798350324136

Thanks to the vast amount of information on the web, people can smoothly find and gather the information they want. Bookmarks are the most popular and convenient way to save such collected information to review later. However, bookmarks recorded through casual web browsing tend to lose their cues for recall quickly. We propose two bookmark visualization methods for a web browser to facilitate the recall of such a bookmark based on the hypotheses focused on human recall activities. While the results of the user experiment showed the possibility of supporting recall by visualizing information collection paths, problems remained in establishing cues for recall using words on web pages. © 2024 ieee.

关键词： bookmark visualization methods recall of collected information web casual browsing

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Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data 15

Learning Analytics Tools to Analyze Progress and Results Wit...

引用

15th ieee Global Engineering Education conference (ieee EDUCON)

作者： Alonso-Fernandez, Cristina Jorro-Aragoneses, Jose L. Alaiz, Carlos M. Rodriguez, Pilar Univ Autonoma Madrid Dept Comp Sci Madrid Spain

ISBN: (纸本)9798350394023;9798350394030

Teachers can benefit from the information provided by learning analytics data for multiple purposes. Visual learning analytics dashboards provide near real-time information while more complex offline tools are commonly used to synthesize and transform the data gathered into interpretable information for teachers. The extended use of Learning Management Systems in universities, such as Moodle or Canvas, provides a rich environment to capture learning analytics data from students' interactions while they are progressing in their courses. In this paper, we present two different learning analytics tools aimed at teachers to obtain information about students' progress and results using data from the Moodle LMS at different stages of their learning process: (1) a progress visualization plugin for Moodle, which provides teachers with real-time information about the progress achieved by students in their courses, and the different goals set for their plans;and (2) an analytics Jupyter Notebook tool with a pre-defined set of analysis and visualizations to apply to data gathered from default activities in Moodle. The plugin is in an initial validation stage, while the analysis tool has been tested in a case study in a university course. Combined, both contributions can enrich the information that teachers have during and after the academic year, adapting their classes to better fit students' progress and needs, as well as providing overall results and comparison between groups after the course has finished.

关键词： learning analytics dashboards visualization LMS Moodle

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Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling

Gridded Glyphmaps for Supporting Spatial COVID-19 Modelling

引用

ieee conference on visualization and Visual Analytics (ieee VIS)

作者： Slingsby, Aidan Reeve, Richard Harris, Claire City Univ London Dept Comp Sci London England Univ Glasgow Sch Biodivers One Hlth & Vet Med Glasgow Scotland James Hutton Inst Biomathemat & Stat Scotland Edinburgh Scotland

ISBN: (纸本)9798350325577

We describe our use of gridded glyphmaps to support development of a repurposed COVID-19 infection model during the height of the pandemic. We found that gridded glyphmaps' ability to interactive summarise multivariate model input, intermediate results and outputs across multiple scales supported our model development tasks in ways that the modellers had not previously seen. We recount our experiences, reflect on potential to support more spatial model development more generally and suggest areas of further work.

关键词： Human-centered computing visualization visualization techniques

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Emotion Manipulation Through Music - A Deep Learning Interactive Visual Approach 28

Emotion Manipulation Through Music - A Deep Learning Interac...

引用

28th International conference on information Visualisation (IV)

作者： Abdalla, Adel N. Osborne, Jared Andonie, Razvan Cent Washington Univ Comp Sci Dept Ellensburg WA USA Columbia Univ Data Sci Inst New York NY 10027 USA Transilvania Univ Brasov Brasov Romania

ISBN: (纸本)9798350380170;9798350380163

Music evokes emotion in many people. We introduce a novel way to manipulate the emotional content of a song using AI tools. Our goal is to achieve the desired emotion while leaving the original melody as intact as possible. For this, we create an interactive pipeline capable of shifting an input song into a diametrically opposed emotion and visualize this result through Russel's Circumplex model. Our approach is a proof-of-concept for Semantic Manipulation of Music, a novel field aimed at modifying the emotional content of existing music. We design a deep learning model able to assess the accuracy of our modifications to key, SoundFont instrumentation, and other musical features. The accuracy of our model is inline with the current state of the art techniques on the 4Q Emotion dataset. With further refinement, this research may contribute to on-demand custom music generation, the automated remixing of existing work, and music playlists tuned for emotional progression.

关键词： music emotion recognition music information retrieval semantic manipulation explainable AI deep learning audio analysis

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WUDA: Visualizing and Transforming Rotations in Real-Time with Quaternions and Smart Devices

WUDA: Visualizing and Transforming Rotations in Real-Time wi...

引用

ieee conference on visualization and Visual Analytics (ieee VIS)

作者： Milanko, Slobodan

ISBN: (纸本)9798350325577

The rising popularity of inertial sensing via smart devices is evident, finding use in multidisciplinary applications, such as gesture recognition and image stabilization. Amid the popularity of analyzing raw motion signals and Euler angles, we highlight quaternion rotations as a robust alternative for studying device orientation. Quaternions are a powerful mathematical tool for representing and affecting three-dimensional rotations. Their abstract nature, however, can make it difficult for researchers to visualize the data they provide. Mobile sensing rarely invents practical tools to experiment with this mathematical method. Since visualization effectively communicates data findings, we develop an open-source, real-time app, Wuda, that allows users to observe the orientation of smart devices via inertial sensing. Wuda helps users reduce dimensional complexity and intuitively study quaternion transformations. We demonstrate the practical nature of Wuda in the context of fitness tracking.

关键词： Mathematical Foundations & Numerical Methods Machine Learning Statistics Modelling, and Simulation Applications Human-centered computing visualization

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Monotone Functions and Expert Models for Explanation of Machine Learning Models 28

Monotone Functions and Expert Models for Explanation of Mach...

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28th International conference on information Visualisation (IV)

作者： Huber, Harlow Kovalerchuk, Boris Cent Washington Univ Dept Comp Sci Ellensburg WA 98926 USA

ISBN: (纸本)9798350380170;9798350380163

There are significant difficulties for the acceptance of black-box Machine Learning (ML) models by subject matter experts (SMEs) despite significant achievements of many blackbox models. A promising way to address this problem is by building a trustable, qualitative, interpretable models for the task based on SME knowledge. Such qualitative models can work as qualitative explainers of black-box models or as sanity checks for them. In this paper, qualitative models operate with ordinal attributes, which can be Boolean or k-valued attributes with a small k. Humans easier understand and reason with such attributes that with continuous numeric attributes with many more values. Some ML tasks do not have sufficient training data. Building qualitative models with a SME ("expert models") is a way to solve these tasks solely with a SME's knowledge. The proposed Monotone Ordinal Expert Knowledge Acquisition (MOEKA) system allows building "expert models" through interview phases with the SME. Monotonicity is a key property of the system that is tested and used to shorten the interview process with a SME along with new methods for selecting the order of questions. MOEKA rather directly approximates domain knowledge in contrast with other ML explainers, which approximate black-box ML models. MOEKA can be also used as a method of database searching. Several case studies on gout, diabetes, and housing demonstrate efficiency of MOEKA.

关键词： Machine Learning Data Mining Monotone Boolean Functions Ordinal Data Monotone Ordinal Functions Monotonicity Subject Matter Expert (SME) Interview Optimization Knowledge Discovery visualization

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Support for Building Infographic Models on the Multiforms Platform

Support for Building Infographic Models on the Multiforms Pl...

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2024 ieee International Multi-conference on Engineering, Computer and information Sciences, SIBIRCON 2024

作者： Korobko, Anna Benko, Nadezhda Erina, Irina Aldoshkina, Anna M. Reshetnev University Information Control Systems Department Krasnoyarsk Russia Institute of Computational Modeling Sb Ras Department of Information Technologies Krasnoyarsk Russia

ISBN: (纸本)9798331532024

The paper is devoted to the process of constructing infographic models for visualizing the results of analysis in BI-systems. The subject of research is the regularities of the choice of data visualization tools for an analytical query depending on the structure and properties of the data set using the Multiforms platform as an example. A formal description of the dataset data and metadata obtained as a result of executing a user request to a global analytical model on the Multiforms platform allows us to set a task of developing a new approach to the visualization of datasets that provides an informed choice of chart type, automatic determination of axes and displayed values. Based on the study of the visual components of the DevExteme library, it was possible to develop a general algorithm for native user support when choosing a diagram that best reflects the contents of the data. The considered examples illustrate the operation of the algorithm and make sure that the recommended ways of presenting data correspond to the structure of the dataset and display the content in the appropriate way. © 2024 ieee.

关键词： data analysis exploratory OLAP flood situation visualization

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