Preece, Alun

1. Interpretable to Whom? A Role-based Model for Analyzing Interpretable\n Machine Learning Systems
   2018/06/20 by Richard Tomsett, Tomsett, Richard, Dave Braines +8 · 10 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
2. Sanity Checks for Saliency Metrics
   2019/11/29 by Tomsett, Richard, Harborne, Dan, Chakraborty, Supriyo +2 · 6 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
3. Stakeholders in Explainable AI
   2018/09/29 by Preece, Alun, Harborne, Dan, Braines, Dave +2 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
4. Towards Traceability in Data Ecosystems using a Bill of Materials Model
   2019/04/08 by Iain Barclay, Alun Preece, Barclay, Iain +5 · 1 citation
   Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Blockchain Technology Applications and Security #Computers and Society (cs.CY) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing
5. The current state of automated negotiation theory: a literature review
   2020/03/30 by Vente, Sam, Kimmig, Angelika, Preece, Alun +1 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
6. Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
   2020/03/31 by Liam Hiley, Hiley, Liam, Alun Preece +9 · 1 citation
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Human Pose and Action Recognition #Human-Computer Interaction (cs.HC) #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Multimodal Machine Learning Applications #electronic engineering #information engineering
7. Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
   2024/02/01 by Jack Furby, Daniel Cunnington, Furby, Jack +5 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
8. Uncertainty Aware AI ML: Why and How
   2018/09/20 by Lance Kaplan, Kaplan, Lance, Federico Cerutti +7 · 1 citation
   Computer Science · #AI-based Problem Solving and Planning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences