A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Zeyang, Chatzimparmpas, Angelos, Höllt, Thomas, Fujiwara, Takanori |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
by: Huang, Zeyang, et al.
Published: (2026)
by: Huang, Zeyang, et al.
Published: (2026)
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)
by: Chatzimparmpas, Angelos
Published: (2025)
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024)
by: Salmanian, Parisa, et al.
Published: (2024)
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
by: Ploshchik, Ilya, et al.
Published: (2022)
by: Ploshchik, Ilya, et al.
Published: (2022)
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
by: Chatzimparmpas, Angelos, et al.
Published: (2024)
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
by: Chatzimparmpas, Angelos, et al.
Published: (2022)
by: Chatzimparmpas, Angelos, et al.
Published: (2022)
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
LangLasso: Interactive Cluster Descriptions through LLM Explanation
by: Buchmüller, Raphael, et al.
Published: (2026)
by: Buchmüller, Raphael, et al.
Published: (2026)
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
by: Chatzimparmpas, Angelos, et al.
Published: (2020)
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
by: Chatzimparmpas, Angelos, et al.
Published: (2021)
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
by: Chatzimparmpas, Angelos, et al.
Published: (2023)
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
by: Zhang, Dongping, et al.
Published: (2024)
by: Zhang, Dongping, et al.
Published: (2024)
GhostUMAP2: Measuring and Analyzing (r,d)-Stability of UMAP
by: Jung, Myeongwon, et al.
Published: (2025)
by: Jung, Myeongwon, et al.
Published: (2025)
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
by: Long, Sheng, et al.
Published: (2025)
by: Long, Sheng, et al.
Published: (2025)
Dataset-Adaptive Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
by: Chatzimparmpas, A., et al.
Published: (2022)
by: Chatzimparmpas, A., et al.
Published: (2022)
Dimensionality Reduction Considered Harmful (Some of the Time)
by: Jeon, Hyeon
Published: (2025)
by: Jeon, Hyeon
Published: (2025)
Understanding Bias in Perceiving Dimensionality Reduction Projections
by: Doh, Seoyoung, et al.
Published: (2025)
by: Doh, Seoyoung, et al.
Published: (2025)
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Accelerating hyperbolic t-SNE
by: Skrodzki, Martin, et al.
Published: (2024)
by: Skrodzki, Martin, et al.
Published: (2024)
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
by: Barbu, Eduard, et al.
Published: (2024)
by: Barbu, Eduard, et al.
Published: (2024)
Visual Analytics of Multivariate Networks with Representation Learning and Composite Variable Construction
by: Lu, Hsiao-Ying, et al.
Published: (2023)
by: Lu, Hsiao-Ying, et al.
Published: (2023)
Adversarial Attacks on Machine Learning-Aided Visualizations
by: Fujiwara, Takanori, et al.
Published: (2024)
by: Fujiwara, Takanori, et al.
Published: (2024)
CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
by: Sun, Black, et al.
Published: (2025)
by: Sun, Black, et al.
Published: (2025)
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams
by: Tariq, Shahroz, et al.
Published: (2024)
by: Tariq, Shahroz, et al.
Published: (2024)
Clinically Calibrated Machine Learning Benchmarks for Large-Scale Multi-Disorder EEG Classification
by: Samanta, Argha Kamal, et al.
Published: (2025)
by: Samanta, Argha Kamal, et al.
Published: (2025)
Fusion of Spatio-Temporal and Multi-Scale Frequency Features for Dry Electrodes MI-EEG Decoding
by: Gong, Tianyi, et al.
Published: (2026)
by: Gong, Tianyi, et al.
Published: (2026)
High-Dimensional Data Classification in Concentric Coordinates
by: Williams, Alice, et al.
Published: (2025)
by: Williams, Alice, et al.
Published: (2025)
Into the Void: Mapping the Unseen Gaps in High Dimensional Data
by: Zhang, Xinyu, et al.
Published: (2025)
by: Zhang, Xinyu, et al.
Published: (2025)
Uncovering Temporal Patterns in Visualizations of High-Dimensional Data
by: Poličar, Pavlin G., et al.
Published: (2024)
by: Poličar, Pavlin G., et al.
Published: (2024)
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers
by: Cao, Hangcheng, et al.
Published: (2025)
by: Cao, Hangcheng, et al.
Published: (2025)
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
by: Chen, Juntong, et al.
Published: (2024)
by: Chen, Juntong, et al.
Published: (2024)
LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
by: Poličar, Pavlin G., et al.
Published: (2024)
by: Poličar, Pavlin G., et al.
Published: (2024)
SmartAlert: Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Lab Utilization Reduction
by: Liang, April S., et al.
Published: (2025)
by: Liang, April S., et al.
Published: (2025)
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
by: Akgul, Omer, et al.
Published: (2024)
by: Akgul, Omer, et al.
Published: (2024)
Similar Items
-
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
by: Huang, Zeyang, et al.
Published: (2026) -
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025) -
Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024) -
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024) -
MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
by: Ploshchik, Ilya, et al.
Published: (2022)