:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Barua, Saikat, Momen, Sifat
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning Human-Computer Interaction
Accès en ligne:	https://arxiv.org/abs/2401.00193
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
par: Storey, V. C., et autres
Publié: (2025)

A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
par: Gambetti, Alessandro, et autres
Publié: (2025)

Explaining AI Without Code: A User Study on Explainable AI
par: Abarca, Natalia, et autres
Publié: (2025)

Reversing the Lens: Using Explainable AI to Understand Human Expertise
par: Rahman, Roussel, et autres
Publié: (2025)

Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
par: Ren, Yuanfang, et autres
Publié: (2024)

Explainable Anomaly Detection: Counterfactual driven What-If Analysis
par: Cummins, Logan, et autres
Publié: (2024)

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
par: Donoso-Guzmán, Ivania, et autres
Publié: (2025)

Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI
par: Mosleh, Maryam, et autres
Publié: (2025)

An Explainable and Fair AI Tool for PCOS Risk Assessment: Calibration, Subgroup Equity, and Interactive Clinical Deployment
par: Khan, Asma Sadia, et autres
Publié: (2025)

Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
par: Ayan, Md Muntasir Jahid, et autres
Publié: (2026)

Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI
par: Nguyen, Elisa, et autres
Publié: (2024)

Research on Older Adults' Interaction with E-Health Interface Based on Explainable Artificial Intelligence
par: Huang, Xueting, et autres
Publié: (2024)

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
par: Salmanian, Parisa, et autres
Publié: (2024)

Assessing the Real-World Utility of Explainable AI for Arousal Diagnostics: An Application-Grounded User Study
par: Kraft, Stefan, et autres
Publié: (2025)

Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations
par: Alkhateeb, Banan, et autres
Publié: (2025)

Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis
par: Yada, Yuki, et autres
Publié: (2023)

Knowledge-integrated AutoEncoder Model
par: Lazebnik, Teddy, et autres
Publié: (2023)

Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs
par: Li, Wengxi, et autres
Publié: (2024)

Stress Detection from Photoplethysmography in a Virtual Reality Environment
par: Mahmoudi-Nejad, Athar, et autres
Publié: (2024)

XMTC: Explainable Early Classification of Multivariate Time Series in Reach-to-Grasp Hand Kinematics
par: Gol, Reyhaneh Sabbagh, et autres
Publié: (2025)

Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
par: Khalid, Adia, et autres
Publié: (2025)

Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery
par: Williams, Alice, et autres
Publié: (2025)

Visual Analytics for Explainable and Trustworthy Artificial Intelligence
par: Chatzimparmpas, Angelos
Publié: (2025)

Abstracted Trajectory Visualization for Explainability in Reinforcement Learning
par: Takagi, Yoshiki, et autres
Publié: (2024)

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
par: Yan, Lixiang, et autres
Publié: (2024)

The Value of AI Advice: Personalized and Value-Maximizing AI Advisors Are Necessary to Reliably Benefit Experts and Organizations
par: Wolczynski, Nicholas, et autres
Publié: (2024)

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
par: Mozannar, Hussein, et autres
Publié: (2023)

Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction
par: Dongre, Poorvesh, et autres
Publié: (2024)

Channel-Free Human Activity Recognition via Inductive-Bias-Aware Fusion Design for Heterogeneous IoT Sensor Environments
par: Hasegawa, Tatsuhito
Publié: (2026)

Towards Human-AI Complementarity in Matching Tasks
par: Arnaiz-Rodriguez, Adrian, et autres
Publié: (2025)

The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
par: Li, Harry, et autres
Publié: (2025)

Uncertainty-Aware Cross-Modal Knowledge Distillation with Prototype Learning for Multimodal Brain-Computer Interfaces
par: Jang, Hyo-Jeong, et autres
Publié: (2025)

A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approach
par: Ahmed, Md Sabbir, et autres
Publié: (2025)

Confounding-Robust Policy Improvement with Human-AI Teams
par: Gao, Ruijiang, et autres
Publié: (2023)

HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery
par: Jiang, Haoran, et autres
Publié: (2025)

Visualizing Routes with AI-Discovered Street-View Patterns
par: Wu, Tsung Heng, et autres
Publié: (2024)

ZIA: A Theoretical Framework for Zero-Input AI
par: De, Aditi
Publié: (2025)

Human-in-the-Loop Systems for Adaptive Learning Using Generative AI
par: Tarun, Bhavishya, et autres
Publié: (2025)

Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
par: Beck, Jacob, et autres
Publié: (2025)

A Neuro-Symbolic System for Interpretable Multimodal Physiological Signals Integration in Human Fatigue Detection
par: Jamalifard, Mohammadreza, et autres
Publié: (2026)