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检索条件"任意字段=Conference on Visual Data Exploration and Analysis"

共 1754 条记录，以下是251-260 订阅

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A Personalized AI Assistant For Intuition-Driven visual explorations

A Personalized AI Assistant For Intuition-Driven Visual Expl...

引用

IEEE International conference on e-Science and Grid Computing

作者： James Hammer Tanner Hobson David Pugmire Scott Klasky Kenneth Moreland Jian Huang Dept. of EECS University of Tennessee Knoxville Knoxville USA CSMD Division Oak Ridge National Laboratory Oak Ridge USA

ISBN: (数字)9798350365610

ISBN: (纸本)9798350365627

Understanding the time-varying magnetic field within a fusion device is critical for the successful design and construction of clean-burning fusion power plants. Poincaré analysis provides a powerful method for the analysis and visualization of magnetic field lines in fusion devices. Current state-of-the-art relies on manually and iteratively generating Poincaré plots from simulation data. Using Poincaré plots in deep analysis is very time consuming because Poincaré plots can be very computationally expensive, especially for a time-varying simulation with thousands of time steps. Further, the visualization results are so complex that only expert users know how to explore, interpret, and control. In addition, collaboration is hampered due to the high barrier to entry. To this end, we contribute Fugent, a reinforcement learning-based agent capable of recommending and evaluating the importance of exploration regions based on training data captured from historic expert user usage. Using Fugent, we show that important regions can be identified and recommended for further exploration. Fugent is open source.

关键词： Training visualization data visualization Training data Prototypes User experience Robustness

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EMNLP 2022 - 2022 conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session

EMNLP 2022 - 2022 Conference on Empirical Methods in Natural...

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2022 conference on Empirical Methods in Natural Language Processing, EMNLP 2022

ISBN: (纸本)9781959429418

The proceedings contain 42 papers. The topics discussed include: CogKTR: a knowledge-enhanced text representation toolkit for natural language understanding;LM-Debugger: an interactive tool for inspection and intervention in transformer-based language models;EasyNLP: a comprehensive and easy-to-use toolkit for natural language processing;an explainable toolbox for evaluating pre-trained vision-language models;ELEVANT: a fully automatic fine-grained entity linking evaluation and analysis tool;a pipeline for generating, annotating and employing synthetic data for real world question answering;DeepKE: a deep learning based knowledge extraction toolkit for knowledge base population;evaluate & evaluation on the hub: better best practices for data and model measurements;and KeywordScape: visual document exploration using contextualized keyword embeddings.

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What Are the Trends in Eco-Design Research When We Talk about Digital Technology? - A Five Year Analytical Dive into Research data

What Are the Trends in Eco-Design Research When We Talk abou...

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2023 International Symposium on World Ecological Design, ISWED 2023

作者： Zhuang, Nan Ma, Yanni Zhai, Shuo Zhao, Xin Weng, Shitong Ma, Zhenyuan Shi, Shang Ying, Fangtian School of Software Technology Zhejiang University China College of Computer Science and Technology Zhejiang University China Polytechnic Institute Zhejiang University China

ISBN: (纸本)9781643685069

The convergence of digital technology with eco-design offers an integrative approach, merging environmental sustainability with technological innovation in design. In the realm of eco-design, there is a growing emphasis on the application of digital technology. However, the focal areas and trends of eco-design studies utilizing digital technology remain underexplored. This leads to a deficiency in our deep understanding and prediction of the evolution and transformation of this domain. To comprehend the progression in this domain, we curated and scrutinized a dataset of 1,359 papers related to digital technology and eco-design presented at the CHI conference over the past five years. Through keywords analysis from the past half-decade, we pinpointed prevailing research areas in eco-design utilizing digital technology, such as virtual reality, sustainability, health, and human-computer interaction. We also gathered essential information about the papers for descriptive statistical analysis, including the count, authors' nationalities and gender distribution, and the scale of the authorship teams. Coupled by the visual insights from keyword clouds, we discerned trends in eco-design research in the backdrop of digital technology. Our findings underscore that the eco-design domain, when integrated with digital technology, persistently captivates academic interest, with comparatively smaller teams often embarking on projects in this research sphere. Predominantly, researchers from the United States and male participants lead these endeavors. Moreover, there's an escalating emphasis on people-centered design, striving to engineer solutions that harmonize environmental interactions with health promotions. This study's outcomes furnish insights for a more profound exploration in the realm of digital technology and eco-design, offering recommendations to further propel sustainable progress and innovative design. © 2024 The Authors.

关键词： Ecodesign

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Understanding Plant Leaf Diseases: A Review, analysis, exploration of Techniques and Technologies

Understanding Plant Leaf Diseases: A Review, Analysis, Explo...

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2025 International conference on visual Analytics and data visualization, ICVADV 2025

作者： Nagalakshmi, Thirumalasetty Sambasivudu, M. Sai, Thota Siva Ratna Dept. of Cse Telangana India

ISBN: (纸本)9798331521394

Modern agriculture relies on plant leaf disease detection to reduce crop losses and guarantee food security. This study takes a look at the three main types of methods used to identify plant leaf diseases: conventional methods, techniques based on Machine Learning (ML), and methodology based on Deep Learning (DL). Although they provide essential insights, the scalability and precision of traditional methods-which depend on chemical analysis, image processing, and human inspection-are severely lacking. ML techniques, which make use of algorithms such as Random Forests (RF) and Support Vector Machines (SVM), automate feature-based categorization, which improves detection. Automated disease identification with high accuracy has recently been made possible by DL, which uses sophisticated methods like semantic segmentation, object recognition, and transfer learning in conjunction with architectures like Convolutional Neural Networks (CNNs). This study examines all of these approaches in detail, comparing and contrasting their advantages, disadvantages, and possible uses. Emerging developments, such as eXplainable Artificial Intelligence (XAI) and Internet of Things (IoT)-based systems, are also highlighted in the discussion, with an emphasis on how they will influence smart and sustainable agriculture in the future. © 2025 IEEE.

关键词： Semantic Segmentation

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45th European conference on Information Retrieval, ECIR 2023

45th European Conference on Information Retrieval, ECIR 2023

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45th European conference on Information Retrieval, ECIR 2023

ISBN: (纸本)9783031282409

The proceedings contain 45 papers. The special focus in this conference is on Information Retrieval. The topics include: Towards Detecting Interesting Ideas Expressed in Text;towards Linguistically Informed Multi-objective Transformer Pre-training for Natural Language Inference;dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks;consumer Health Question Answering Using Off-the-Shelf Components;MOO-CMDS+NER: Named Entity Recognition-Based Extractive Comment-Oriented Multi-document Summarization;fragmented visual Attention in Web Browsing: Weibull analysis of Item Visit Times;don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments;learning Query-Space Document Representations for High-Recall Retrieval;investigating Conversational Search Behavior for Domain exploration;evaluating Humorous Response Generation to Playful Shopping Requests;joint Span Segmentation and Rhetorical Role Labeling with data Augmentation for Legal Documents;trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection;The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance;neural Ad-Hoc Retrieval Meets Open Information Extraction;augmenting Graph Convolutional Networks with Textual data for Recommendations;utilising Twitter Metadata for Hate Classification;topic-Enhanced Personalized Retrieval-Based Chatbot;evolution of Filter Bubbles and Polarization in News Recommendation;capturing Cross-Platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns;improving the Generalizability of the Dense Passage Retriever Using Generated datasets;segmentCodeList: Unsupervised Representation Learning for Human Skeleton data Retrieval;knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection;preface;Extractive Summarization of Financial Earnings Call Transcripts: Or: When GREP Beat BERT;what Is Your Cause for Concern? Towards Interpretable Complaint

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45th European conference on Information Retrieval, ECIR 2023

45th European Conference on Information Retrieval, ECIR 2023

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45th European conference on Information Retrieval, ECIR 2023

ISBN: (纸本)9783031282430

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45th European conference on Information Retrieval, ECIR 2023

45th European Conference on Information Retrieval, ECIR 2023

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45th European conference on Information Retrieval, ECIR 2023

ISBN: (纸本)9783031282379

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Towards a Task-based Guidance in Exploratory visual Analytics 54

Towards a Task-based Guidance in Exploratory Visual Analytic...

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54th Annual Hawaii International conference on System Sciences

作者： Mutlu, Belgin Gashi, Milot Sabol, Vedran Pro2Future GmbH Linz Austria Graz Univ Technol Graz Austria Know Ctr GmbH Graz Austria

ISBN: (纸本)9780998133140

Exploring large datasets and identifying meaningful information is still an active topic in many application fields. Dealing with large datasets is currently not only a matter of simply collecting and structuring data for retrieval, but sometimes it also requires the provision of adequate means for guiding the user through the exploration process. visualizations have shown to be an effective method in this context, the reason being that since they are grounded on visual cognition, people understand them and can naturally perform visual operations such as clustering, filtering and comparing quantities. However, systems which help us to create visualizations often require specific knowledge in data analysis, which ordinary users typically do not possess. To address this gap, we propose a system that guides the user in the data analysis process. To achieve this, the system observes current user behavior, tries to infer the task of the user and recommends the next analysis steps to help her to carry out the task.

关键词： Large dataset

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KRAKEN: A Knowledge-Based Recommender System for Analysts, to Kick exploration up a Notch 1

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14th International conference on Innovative Security Solutions for Information Technology and Communications, SecITC 2021

作者： Brisse, Romain Boche, Simon Majorczyk, Frédéric Lalande, Jean-Francois Malizen Rennes France CentraleSupélec Inria Univ. Rennes 1 CNRS IRISA Rennes France Direction Générale de l’Armement-Maîtrise de l’Information Bruz France

ISBN: (数字)9783031175107

ISBN: (纸本)9783031175091

During a computer security investigation, a security analyst has to explore the logs available to understand what happened in the compromised system. For such tasks, visual analysis tools have been developed to help with log exploration. They provide visualisations of aggregated logs, and help navigate data efficiently. However, even using visualisation tools, the task can still be difficult and tiresome. The amount and the numerous dimensions of the logs to analyse, the potential stealthiness and complexity of the attack may end with the analyst missing some parts of an attack. We offer to help the analyst finding the logs where her expertise is needed rapidly and efficiently. We design a recommender system called KRAKEN that links knowledge coming from advanced attack descriptions into a visual analysis tool to suggest exploration paths. KRAKEN confronts real world adversary knowledge with the investigated logs to dynamically provide relevant parts of the dataset to explore. To evaluate KRAKEN we conducted a user study with seven security analysts. Using our system, they investigated a dataset from the DARPA containing different Advanced Persistent Threat attacks. The results and comments of the security analysts show the usability and usefulness of the recommender system. © 2022, Springer Nature Switzerland AG.

关键词： Digital forensics

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Literature Bibliometrics Atlas analysis of Experience Design 10th

Literature Bibliometrics Atlas Analysis of Experience Design

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10th International conference on Culture and Computing (C and C) Held as Part of the 24th International conference on Human-Computer Interaction (HCII)

作者： Wang, Yu Xin, Xiangyang Yu, Hao Cheng, Haolun Jin, Beiting Jiangnan Univ Sch Design Wuxi 214122 Jiangsu Peoples R China Beijing Inst Graph Commun Beijing 102600 Peoples R China

ISBN: (纸本)9783031054341;9783031054334

To explore the research foundation of experience design through the traceability research of experience design and to clarify the context, boundaries, and connections between different research topics. The integrated advantages of both CiteSpace and VosViewer to draw a knowledge map of related literature on experience design, based on the retrieval results of academic literature related to experience design in the Web of Science academic engine. data and visualization of the research results sort out the highly cited literature on experience design to illustrate bibliometric atlas. The induction method is used to track the four main related fields of experience design, based on quantitative data analysis, combined with our cognition of experience design. From the perspective of the development context and trend of experience design, the experience economy is the commodity experience scenario. The economy determines product form and then design content. The transformation of user experience design to experience design corresponds to changing people's material needs to spiritual needs. Experience management based on process optimization expands the commercialization field of experience design. From the perspective of knowledge cognition and exploration of experience design, macro-leveled experience design coordinates the system and the world, focusing on the long-term construction of macroecology and human cultural environment;meso-experience design tends to be a system centered on customer experience Management;micro-experience design focuses on a complete experience that has a specific meaning or impact on the individual.

关键词： Experience design Bibliometrics visual analysis Development context Research hotspots

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