ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.00491
  4. Cited By
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and
  Data Configurations

EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations

1 February 2024
Aditya Bhattacharya
Simone Stumpf
Lucija Gosak
Gregor Stiglic
K. Verbert
ArXivPDFHTML

Papers citing "EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations"

9 / 9 papers shown
Title
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
Federico Maria Cau
Lucio Davide Spano
28
0
0
02 May 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAtt
HAI
54
0
0
14 Apr 2025
An Explanatory Model Steering System for Collaboration between Domain
  Experts and AI
An Explanatory Model Steering System for Collaboration between Domain Experts and AI
Aditya Bhattacharya
Simone Stumpf
K. Verbert
26
4
0
17 May 2024
Representation Debiasing of Generated Data Involving Domain Experts
Representation Debiasing of Generated Data Involving Domain Experts
Aditya Bhattacharya
Simone Stumpf
K. Verbert
34
2
0
17 May 2024
Towards Directive Explanations: Crafting Explainable AI Systems for
  Actionable Human-AI Interactions
Towards Directive Explanations: Crafting Explainable AI Systems for Actionable Human-AI Interactions
Aditya Bhattacharya
13
4
0
29 Dec 2023
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing
  Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
Aditya Bhattacharya
Simone Stumpf
Lucija Gosak
Gregor Stiglic
K. Verbert
19
6
0
03 Oct 2023
DeepSeer: Interactive RNN Explanation and Debugging via State
  Abstraction
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Zhijie Wang
Yuheng Huang
D. Song
Lei Ma
Tianyi Zhang
HAI
51
5
0
02 Mar 2023
A Nested Genetic Algorithm for Explaining Classification Data Sets with
  Decision Rules
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules
P. Matt
Rosina Ziegler
Danilo Brajovic
Marco Roth
Marco F. Huber
19
2
0
23 Aug 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect
  Human Knowledge and Values
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Zijie J. Wang
Alex Kale
Harsha Nori
P. Stella
M. Nunnally
Duen Horng Chau
Mihaela Vorvoreanu
J. W. Vaughan
R. Caruana
KELM
54
27
0
30 Jun 2022
1