Saved in:
| Main Authors: | Vaaras, Einari, Airaksinen, Manu, Räsänen, Okko |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.26592 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse
by: Vaaras, Einari, et al.
Published: (2024)
by: Vaaras, Einari, et al.
Published: (2024)
Feature Space Topology Control via Hopkins Loss
by: Vaaras, Einari, et al.
Published: (2025)
by: Vaaras, Einari, et al.
Published: (2025)
Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus
by: Lahtinen, Kalle, et al.
Published: (2025)
by: Lahtinen, Kalle, et al.
Published: (2025)
The Human-Data-Model Interaction Canvas for Visual Analytics
by: Bernard, Jürgen
Published: (2025)
by: Bernard, Jürgen
Published: (2025)
Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program
by: Peters, Heinrich, et al.
Published: (2023)
by: Peters, Heinrich, et al.
Published: (2023)
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
by: Bertucci, Donald, et al.
Published: (2024)
by: Bertucci, Donald, et al.
Published: (2024)
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
by: Bamford, Tom, et al.
Published: (2023)
by: Bamford, Tom, et al.
Published: (2023)
FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
by: Kleinau, Anna, et al.
Published: (2025)
by: Kleinau, Anna, et al.
Published: (2025)
TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health
by: Fan, Yuang, et al.
Published: (2026)
by: Fan, Yuang, et al.
Published: (2026)
ScaleViz: Scaling Visualization Recommendation Models on Large Data
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)
by: Ahmad, Ghazi Shazan, et al.
Published: (2024)
Steering Robots with Inference-Time Interactions
by: Wang, Yanwei
Published: (2025)
by: Wang, Yanwei
Published: (2025)
Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions
by: Li, Mingjun, et al.
Published: (2024)
by: Li, Mingjun, et al.
Published: (2024)
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
by: Mozolewski, Maciej, et al.
Published: (2025)
by: Mozolewski, Maciej, et al.
Published: (2025)
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments
by: Boggust, Angie, et al.
Published: (2024)
by: Boggust, Angie, et al.
Published: (2024)
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
by: Luera, Reuben, et al.
Published: (2024)
by: Luera, Reuben, et al.
Published: (2024)
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
by: He, Zeyu, et al.
Published: (2024)
by: He, Zeyu, et al.
Published: (2024)
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
by: Li, Shikun, et al.
Published: (2023)
by: Li, Shikun, et al.
Published: (2023)
VisMoDAl: Visual Analytics for Evaluating and Improving Corruption Robustness of Vision-Language Models
by: Wang, Huanchen, et al.
Published: (2025)
by: Wang, Huanchen, et al.
Published: (2025)
Inference-Time Policy Steering through Human Interactions
by: Wang, Yanwei, et al.
Published: (2024)
by: Wang, Yanwei, et al.
Published: (2024)
Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations
by: Podo, Luca, et al.
Published: (2024)
by: Podo, Luca, et al.
Published: (2024)
Model-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation
by: Huang, Jinbin, et al.
Published: (2024)
by: Huang, Jinbin, et al.
Published: (2024)
LLM Attributor: Interactive Visual Attribution for LLM Generation
by: Lee, Seongmin, et al.
Published: (2024)
by: Lee, Seongmin, et al.
Published: (2024)
GQVis: A Dataset of Genomics Data Questions and Visualizations for Generative AI
by: Walters, Skylar Sargent, et al.
Published: (2025)
by: Walters, Skylar Sargent, et al.
Published: (2025)
TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization
by: Gorski, Nathaniel, et al.
Published: (2026)
by: Gorski, Nathaniel, et al.
Published: (2026)
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
by: Chen, Wenqiang, et al.
Published: (2024)
by: Chen, Wenqiang, et al.
Published: (2024)
YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
by: Lange, Devin, et al.
Published: (2025)
by: Lange, Devin, et al.
Published: (2025)
Agent AI: Surveying the Horizons of Multimodal Interaction
by: Durante, Zane, et al.
Published: (2024)
by: Durante, Zane, et al.
Published: (2024)
Towards Interactive Reinforcement Learning with Intrinsic Feedback
by: Poole, Benjamin, et al.
Published: (2021)
by: Poole, Benjamin, et al.
Published: (2021)
XplainAct: Visualization for Personalized Intervention Insights
by: Zhang, Yanming, et al.
Published: (2025)
by: Zhang, Yanming, et al.
Published: (2025)
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)
by: Chatzimparmpas, Angelos
Published: (2025)
Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
by: Takagi, Yoshiki, et al.
Published: (2024)
by: Takagi, Yoshiki, et al.
Published: (2024)
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting
by: Bhattacharjee, Kaustav, et al.
Published: (2023)
by: Bhattacharjee, Kaustav, et al.
Published: (2023)
TimeCopilot
by: Garza, Azul, et al.
Published: (2025)
by: Garza, Azul, et al.
Published: (2025)
Cooperative Design Optimization through Natural Language Interaction
by: Niwa, Ryogo, et al.
Published: (2025)
by: Niwa, Ryogo, et al.
Published: (2025)
Generative AI for Visualization: State of the Art and Future Directions
by: Ye, Yilin, et al.
Published: (2024)
by: Ye, Yilin, et al.
Published: (2024)
Off-Policy Selection for Initiating Human-Centric Experimental Design
by: Gao, Ge, et al.
Published: (2024)
by: Gao, Ge, et al.
Published: (2024)
Epistemology gives a Future to Complementarity in Human-AI Interactions
by: Ferrario, Andrea, et al.
Published: (2026)
by: Ferrario, Andrea, et al.
Published: (2026)
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
by: Hohman, Fred, et al.
Published: (2024)
by: Hohman, Fred, et al.
Published: (2024)
A Model for Intelligible Interaction Between Agents That Predict and Explain
by: Baskar, A., et al.
Published: (2023)
by: Baskar, A., et al.
Published: (2023)
Similar Items
-
PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse
by: Vaaras, Einari, et al.
Published: (2024) -
Feature Space Topology Control via Hopkins Loss
by: Vaaras, Einari, et al.
Published: (2025) -
Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus
by: Lahtinen, Kalle, et al.
Published: (2025) -
The Human-Data-Model Interaction Canvas for Visual Analytics
by: Bernard, Jürgen
Published: (2025) -
Generalizable Error Modeling for Human Data Annotation: Evidence From an Industry-Scale Search Data Annotation Program
by: Peters, Heinrich, et al.
Published: (2023)