Explainable generative ai (genxai): A survey, conceptualization, and research agenda
J Schneider - Artificial Intelligence Review, 2024 - Springer
Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects
Q Xu, Y Zhou, L Wu - Trends in Food Science & Technology, 2024 - Elsevier
Background Tea is a vital economic crop in develo** countries, crucial for rural
development, poverty reduction, and food security. Tea consumption offers health benefits …
development, poverty reduction, and food security. Tea consumption offers health benefits …
[HTML][HTML] A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D printing)
Additive Manufacturing (AM)(known as 3D printing) has modernised traditional
manufacturing processes by enabling the layer-by-layer fabrication of complex geometries …
manufacturing processes by enabling the layer-by-layer fabrication of complex geometries …
Leveraging machine learning for cybersecurity resilience in industry 4.0: Challenges and future directions
J Yu, AV Shvetsov, SH Alsamhi - IEEE Access, 2024 - ieeexplore.ieee.org
Industry 4.0, where the convergence of digital technology impacts industrial operations and
processes, is characterized by cybersecurity resilience. Therefore, in Industry 4.0, Machine …
processes, is characterized by cybersecurity resilience. Therefore, in Industry 4.0, Machine …
[HTML][HTML] Large language models meet user interfaces: The case of provisioning feedback
Abstract Incorporating Generative Artificial Intelligence (GenAI), especially Large Language
Models (LLMs), into educational settings presents valuable opportunities to boost the …
Models (LLMs), into educational settings presents valuable opportunities to boost the …
A primer on the inner workings of transformer-based language models
The rapid progress of research aimed at interpreting the inner workings of advanced
language models has highlighted a need for contextualizing the insights gained from years …
language models has highlighted a need for contextualizing the insights gained from years …
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection
With the increasing complexity and scale of modern networks, the demand for transparent
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
The Role of Explainability in Collaborative Human-AI Disinformation Detection
Manual verification has become very challenging based on the increasing volume of
information shared online and the role of generative Artificial Intelligence (AI). Thus, AI …
information shared online and the role of generative Artificial Intelligence (AI). Thus, AI …
[HTML][HTML] An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
Advanced energy benchmarking in residential buildings, using data-driven modeling,
provides a fast, accurate, and systematic approach to assessing energy performance and …
provides a fast, accurate, and systematic approach to assessing energy performance and …
Explainable ai for text classification: Lessons from a comprehensive evaluation of post hoc methods
This paper addresses the notable gap in evaluating eXplainable Artificial Intelligence (XAI)
methods for text classification. While existing frameworks focus on assessing XAI in areas …
methods for text classification. While existing frameworks focus on assessing XAI in areas …