Cover Image

High-Dimensional Data Classification in Concentric Coordinates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Williams, Alice, Kovalerchuk, Boris
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
by: Williams, Alice, et al.
Published: (2025)

General Line Coordinates in 3D
by: Martinez, Joshua, et al.
Published: (2024)

Into the Void: Mapping the Unseen Gaps in High Dimensional Data
by: Zhang, Xinyu, et al.
Published: (2025)

Uncovering Temporal Patterns in Visualizations of High-Dimensional Data
by: Poličar, Pavlin G., et al.
Published: (2024)

Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates
by: Williams, Alice, et al.
Published: (2024)

LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering
by: Kovalerchuk, Boris, et al.
Published: (2025)

LCIP: Loss-Controlled Inverse Projection of High-Dimensional Image Data
by: Wang, Yu, et al.
Published: (2026)

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)

DataMap: A Portable Application for Visualizing High-Dimensional Data
by: Ge, Xijin
Published: (2025)

Dataset-Adaptive Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)

Automatic Classification of Subjective Time Perception Using Multi-modal Physiological Data of Air Traffic Controllers
by: Aust, Till, et al.
Published: (2024)

Dimensionality Reduction Considered Harmful (Some of the Time)
by: Jeon, Hyeon
Published: (2025)

Understanding Bias in Perceiving Dimensionality Reduction Projections
by: Doh, Seoyoung, et al.
Published: (2025)

A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
by: Huang, Zeyang, et al.
Published: (2026)

CooT: Learning to Coordinate In-Context with Coordination Transformers
by: Wang, Huai-Chih, et al.
Published: (2025)

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
by: Huang, Zeyang, et al.
Published: (2026)

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
by: Poličar, Pavlin G., et al.
Published: (2024)

Beyond Words: Interjection Classification for Improved Human-Computer Interaction
by: Goren, Yaniv, et al.
Published: (2025)

EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification
by: Liao, Wangdan, et al.
Published: (2024)

Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
by: Jia, Tianwang, et al.
Published: (2024)

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering
by: Ali, Sarwan, et al.
Published: (2024)

Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces
by: Wu, Huanyu, et al.
Published: (2024)

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024)

AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
by: Lim, Galvin Brice S., et al.
Published: (2025)

CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
by: Sun, Black, et al.
Published: (2025)

Clinically Calibrated Machine Learning Benchmarks for Large-Scale Multi-Disorder EEG Classification
by: Samanta, Argha Kamal, et al.
Published: (2025)

Evaluating Large Language Models for Gait Classification Using Text-Encoded Kinematic Waveforms
by: Dindorf, Carlo, et al.
Published: (2026)

Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
by: Schach, Lukas, et al.
Published: (2025)

A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
by: Chen, Chi-Sheng, et al.
Published: (2026)

Automating RT Planning at Scale: High Quality Data For AI Training
by: Gao, Riqiang, et al.
Published: (2025)

Multi-Domain EEG Representation Learning with Orthogonal Mapping and Attention-based Fusion for Cognitive Load Classification
by: Angkan, Prithila, et al.
Published: (2025)

d-DQIVAR: Data-centric Visual Analytics and Reasoning for Data Quality Improvement
by: Hong, Hyein, et al.
Published: (2025)

Data Augmentation of Time-Series Data in Human Movement Biomechanics: A Scoping Review
by: Halmich, Christina, et al.
Published: (2025)

BDAN: Mitigating Temporal Difference Across Electrodes in Cross-Subject Motor Imagery Classification via Generative Bridging Domain
by: Chen, Zhige, et al.
Published: (2024)

A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction
by: Christensen, Kristoffer, et al.
Published: (2025)

VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data
by: Le, Van-Duc, et al.
Published: (2023)

Automatically Assessing Students Performance with Smartphone Data
by: Fernandes, J., et al.
Published: (2022)

HPSCAN: Human Perception-Based Scattered Data Clustering
by: Hartwig, Sebastian, et al.
Published: (2023)

Class-constrained t-SNE: Combining Data Features and Class Probabilities
by: Meng, Linhao, et al.
Published: (2023)

User Identification via Free Roaming Eye Tracking Data
by: Haria, Rishabh Vallabh Varsha, et al.
Published: (2024)