M. El-Assady

Latest

• A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics
• ExpLIMEable: An exploratory framework for LIME
• xai-primer.com — A Visual Ideation Space of Interactive Explainers
• Augmenting Digital Sheet Music through Visual Analytics
• Characterizing Grounded Theory Approaches in Visualization
• CorpusVis: Visual Analysis of Digital Sheet Music Collections
• Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings
• Explaining Contextualization in Language Models using Visual Analytics
• A Survey of Human-Centered Evaluations in Human-Centered Machine Learning
• Co-adaptive visual data analysis and guidance processes
• CommAID: Visual Analytics for Communication Analysis through Interactive Dynamics Modeling
• Communication Analysis through Visual Analytics: Current Practices, Challenges, and New Frontiers
• Curating Publications as Artefacts—Exploring Machine Learning Research in an Interactive Virtual Museum
• Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement
• QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling
• Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration
• Task-based Visual Interactive Modeling: Decision Trees and Rule-based Classifiers
• The Explainable Artificial Intelligence Primer. A Digital Ideation Space for Explainable Artificial Intelligence Strategies
• The Role of Interactive Visualization in Fostering Trust in AI
• VisInReport: Complementing Visual Discourse Analytics through Personalized Insight Reports
• XplaiNLI: Explainable Natural Language Inference through Visual Analytics
• An empirical study of explainable AI techniques on deep learning models for time series tasks
• Guided Linguistic Annotation of Argumentation through Visual Analytics
• Representation problems in linguistic annotations: ambiguity, variation, uncertainty, error and bias
• Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
• Studying Visualization Guidelines According to Grounded Theory