MV
Publications
- What’s the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition
- Towards online goal recognition combining goal mirroring and landmarks
- Intent recognition through goal mirroring
- A computational cognitive model of mirroring processes: A position statement
- Heuristic Online Goal Recognition in Continuous Domains
- Domain-Independent Deceptive Planning
- Online goal recognition through mirroring: Humans and agents
- Plan Recognition in Continuous Domains
- Behaviour Recognition with Kinodynamic Planning Over Continuous Domains
- A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences
- Artificial Intelligence in Long-Term Care: Technological Promise, Aging Anxieties, and Sociotechnical Ageism
- Online Probabilistic Goal Recognition over Nominal Models
- The effects of explanations on automation bias
- Plan recognition in continuous domains
- Online recognition of navigation goals through goal mirroring
- Towards sketch recognition by mirroring
- Demand-Driven Transparency for Monitoring Intelligent Agents
- Explainable Goal Recognition: A Framework Based on Weight of Evidence
- Navigating artificial intelligence in care homes: Competing stakeholder views of trust and logics of care
- A Systematic Review of Artificial Intelligence Models for Time-to-Event Outcome Applied in Cardiovascular Disease Risk Prediction
- XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing
- Gender-specific aspects of socialisation and risk of cardiovascular disease among community-dwelling older adults: a prospective cohort study using machine learning algorithms and a conventional method
- Artificial intelligence improves risk prediction in cardiovascular disease
- Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors
- Correction to: Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors
- DEFAULTS Dataset
- DEFAULTS Dataset
- Modeling and detecting urinary anomalies in seniors from data obtained by unintrusive sensors
- Modeling and detecting urinary anomalies in seniors from data obtained by unintrusive sensors