Image de couverture de livre

Visual Exploration of Stopword Probabilities in Topic Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xue, Shuangjiang, Bras, Pierre Le, Robb, David A., Chantler, Mike J., Padilla, Stefano
Format:	Preprint
Publié:	2025
Sujets:	Human-Computer Interaction Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Review of LLM-Assisted Ideation
par: Li, Sitong, et autres
Publié: (2025)

The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
par: Li, Harry, et autres
Publié: (2025)

Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement
par: Islam, K M Sajjadul, et autres
Publié: (2025)

Class-constrained t-SNE: Combining Data Features and Class Probabilities
par: Meng, Linhao, et autres
Publié: (2023)

An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations
par: Sisneros, Robert, et autres
Publié: (2024)

A Reproducible Framework for Neural Topic Modeling in Focus Group Analysis
par: Arfaoui, Heger, et autres
Publié: (2025)

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
par: Chatzimparmpas, A., et autres
Publié: (2022)

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
par: Wang, Zijie J., et autres
Publié: (2023)

Cluster Exploration using Informative Manifold Projections
par: Gerolymatos, Stavros, et autres
Publié: (2023)

Labeled Interactive Topic Models
par: Seelman, Kyle, et autres
Publié: (2023)

iNNspector: Visual, Interactive Deep Model Debugging
par: Spinner, Thilo, et autres
Publié: (2024)

Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
par: Williams, Alice, et autres
Publié: (2025)

Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
par: Suh, Ashley, et autres
Publié: (2022)

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
par: Cadavid, Héctor, et autres
Publié: (2025)

Visualization Tasks for Unlabeled Graphs
par: Oddo, Matt I. B., et autres
Publié: (2025)

Uncertainty Tube Visualization of Particle Trajectories
par: Li, Jixian, et autres
Publié: (2025)

Towards Standardizing AI Bias Exploration
par: Krasanakis, Emmanouil, et autres
Publié: (2024)

Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Gaussian Uncertainty
par: Ouermi, Timbwaoga A. J., et autres
Publié: (2025)

Cluster-Based Random Forest Visualization and Interpretation
par: Sondag, Max, et autres
Publié: (2025)

Stop Misusing t-SNE and UMAP for Visual Analytics
par: Jeon, Hyeon, et autres
Publié: (2025)

Embedding Atlas: Low-Friction, Interactive Embedding Visualization
par: Ren, Donghao, et autres
Publié: (2025)

Visualizing Routes with AI-Discovered Street-View Patterns
par: Wu, Tsung Heng, et autres
Publié: (2024)

Uncovering Temporal Patterns in Visualizations of High-Dimensional Data
par: Poličar, Pavlin G., et autres
Publié: (2024)

Improving the Accessibility of Dating Websites for Individuals with Visual Impairments
par: Shrestha, Gyanendra, et autres
Publié: (2024)

Efficient Visual Appearance Optimization by Learning from Prior Preferences
par: Li, Zhipeng, et autres
Publié: (2025)

MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
par: Ploshchik, Ilya, et autres
Publié: (2022)

Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
par: Chatzimparmpas, Angelos, et autres
Publié: (2024)

Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
par: Mahmoudi-Nejad, Athar, et autres
Publié: (2024)

Stress Detection from Photoplethysmography in a Virtual Reality Environment
par: Mahmoudi-Nejad, Athar, et autres
Publié: (2024)

Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
par: Xu, Yifan, et autres
Publié: (2024)

ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets
par: Kawakami, Yuya, et autres
Publié: (2025)

GFlowState: Visualizing the Training of Generative Flow Networks Beyond the Reward
par: Holeczek, Florian, et autres
Publié: (2026)

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering
par: Ali, Sarwan, et autres
Publié: (2024)

Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data
par: Khan, Saiful, et autres
Publié: (2024)

ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
par: Li, Harry, et autres
Publié: (2023)

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
par: Hong, Hyein, et autres
Publié: (2025)

Perception-Driven Bias Detection in Machine Learning via Crowdsourced Visual Judgment
par: Tupakula, Chirudeep, et autres
Publié: (2025)

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
par: Huang, Zeyang, et autres
Publié: (2026)

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
par: Poličar, Pavlin G., et autres
Publié: (2024)

TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
par: Feng, Zezheng, et autres
Publié: (2024)