Citation Impact
Citing Papers
Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk
2023 Standout
A Roadmap for a Rigorous Science of Interpretability.
2017
Explainable AI: A Review of Machine Learning Interpretability Methods
2020 Standout
From local explanations to global understanding with explainable AI for trees
2020 Standout
Massive MIMO is a reality—What is next?
2019
A survey of deep learning techniques for autonomous driving
2019 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Anchors: High-Precision Model-Agnostic Explanations
2018
ChatGPT: five priorities for research
2023 StandoutNature
Lessons for artificial intelligence from the study of natural stupidity
2019
Artificial intelligence, cyber-threats and Industry 4.0: challenges and opportunities
2021
6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
2019 Standout
AI can turn the clock back before we know it
2021
DALEX: Explainers for Complex Predictive Models in R
2020
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems
2017
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
Works of Todd Phillips being referenced
Hidden technical debt in Machine learning systems
2015