Cover Image

HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chatzimparmpas, Angelos, Paulovich, Fernando V., Kerren, Andreas
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees
by: Chatzimparmpas, Angelos, et al.
Published: (2021)

MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels
by: Ploshchik, Ilya, et al.
Published: (2022)

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
by: Chatzimparmpas, Angelos, et al.
Published: (2020)

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
by: Chatzimparmpas, Angelos, et al.
Published: (2020)

Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
by: Chatzimparmpas, Angelos, et al.
Published: (2024)

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
by: Chatzimparmpas, Angelos, et al.
Published: (2021)

DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps
by: Chatzimparmpas, Angelos, et al.
Published: (2023)

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
by: Chatzimparmpas, Angelos, et al.
Published: (2020)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)

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

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

Aiding Humans in Financial Fraud Decision Making: Toward an XAI-Visualization Framework
by: Chatzimparmpas, Angelos, et al.
Published: (2024)

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
by: Chatzimparmpas, A., et al.
Published: (2022)

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

LangLasso: Interactive Cluster Descriptions through LLM Explanation
by: Buchmüller, Raphael, et al.
Published: (2026)

Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
by: Long, Sheng, et al.
Published: (2025)

Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
by: Zhang, Dongping, et al.
Published: (2024)

VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models
by: Wang, Huanchen, et al.
Published: (2025)

Adversarial Attacks on Machine Learning-Aided Visualizations
by: Fujiwara, Takanori, et al.
Published: (2024)

HEDN: A Hard-Easy Dual Network with Source Reliability Assessment for Cross-Subject EEG Emotion Recognition
by: Wang, Qiang, et al.
Published: (2025)

Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025)

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning
by: Lee, Christine P, et al.
Published: (2026)

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

TrafPS: A Shapley-based Visual Analytics Approach to Interpret Traffic
by: Feng, Zezheng, et al.
Published: (2024)

The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
by: Majumdar, Aditya, et al.
Published: (2025)

The Human-Data-Model Interaction Canvas for Visual Analytics
by: Bernard, Jürgen
Published: (2025)

GFlowState: Visualizing the Training of Generative Flow Networks Beyond the Reward
by: Holeczek, Florian, et al.
Published: (2026)

Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VR
by: Zafar, Numan, et al.
Published: (2025)

HPC-Vis: A Visual Analytic System for Interactive Exploration of Historical Painter Cohorts
by: Yang, Yingping, et al.
Published: (2025)

SemiConLens: Visual Analytics for 2D Semiconductor Discovery
by: Athapaththu, Kavinda, et al.
Published: (2026)

Evaluation of LLM-based Explanations for a Learning Analytics Dashboard
by: Deriyeva, Alina, et al.
Published: (2025)

UnrealVis: A Testing Laboratory of Optimization Techniques in Unreal Engine for Scientific Visualization
by: Filosa, Matteo, et al.
Published: (2026)

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
by: Deng, Yuntian, et al.
Published: (2024)

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning
by: Ren, Kezhou, et al.
Published: (2024)

An Efficient Indoor Navigation Technique To Find Optimal Route For Blinds Using QR Codes
by: Idrees, Affan, et al.
Published: (2020)

From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique
by: Elahimanesh, Sina, et al.
Published: (2023)

A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep
by: Hussain, Zawar, et al.
Published: (2021)

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets
by: Jin, Zhihua, et al.
Published: (2024)

Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
by: Rack, Christian, et al.
Published: (2023)

CityAQVis: Integrated ML-Visualization Sandbox Tool for Pollutant Estimation in Urban Regions Using Multi-Source Data (Software Article)
by: Desai, Brij Bidhin, et al.
Published: (2025)