Outputs (250)

Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks (2013)
Presentation / Conference Contribution

[Context/Motivation] Different modeling techniques have been used to model requirements and decision-making of self-adaptive systems (SASs). Specifically, goal models have been prolific in supporting decision-making depending on partial and total ful... Read More about Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks.

Run-time and Collective Adaptation of Gameful Systems (2020)
Presentation / Conference Contribution

Towards an architecture integrating complex event processing and temporal graphs for service monitoring (2021)
Presentation / Conference Contribution

FFM-SVD: A Novel Approach for Personality-aware Recommender Systems (2023)
Presentation / Conference Contribution

This paper addresses and evaluates approaches to incorporating personality data into a recommender system. Automatic personality recognition is enabled by the LIWC dictionary. Personality-aware pre-filtering techniques are developed and discussed, wi... Read More about FFM-SVD: A Novel Approach for Personality-aware Recommender Systems.

Brooke Leave Home: Designing a Personalized Film to Support Public Engagement with Open Data (2020)
Presentation / Conference Contribution

From a Series of (Un)fortunate Events to Global Explainability of Runtime Model-Based Self-Adaptive Systems (2021)
Presentation / Conference Contribution

History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems (2022)
Presentation / Conference Contribution

The complexity of real-world problems requires modern software systems to autonomously adapt and modify their behaviour at run time to deal with internal and external challenges and contexts. Consequently, these self-adaptive systems (SAS) can show u... Read More about History-aware explanations: towards enabling human-in-the-loop in self-adaptive systems.

Knowledge Base K Models to Support Trade-Offs for Self-Adaptation using Markov Processes (2019)
Presentation / Conference Contribution

Querying and Annotating Model Histories with Time-Aware Patterns (2019)
Presentation / Conference Contribution

AutoScale: Automatic and Dynamic Scale Selection for Live Jazz Improvisation (2020)
Presentation / Conference Contribution

Automated provenance graphs for models@run.time (2020)
Presentation / Conference Contribution

Modelling Hierarchical Key Structure With Pitch Scapes (2020)
Presentation / Conference Contribution

Exploiting Variance Information in Monte-Carlo Tree Search (2017)
Presentation / Conference Contribution

Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead (2021)
Presentation / Conference Contribution

Cross-Entropy as a Criterion for Robust Interactive Learning of Latent Properties (2016)
Presentation / Conference Contribution

Towards Technology Acceptance: a Bayesian Network of soft requirements, the case of the NHS COVID-19 Test and Trace App (2021)
Presentation / Conference Contribution

Investigating the Potential Impact of Values on Requirements and Software Engineering (2021)
Presentation / Conference Contribution

Multi-modal lung ultrasound image classification by fusing image-based features and probe information (2022)
Presentation / Conference Contribution

Lung ultrasound is a widely used portable, cheap, and non-invasive medical imaging technology that can be used to identify various lung pathologies. In this work, we propose a multi-modal approach for lung ultrasound image classification that combine... Read More about Multi-modal lung ultrasound image classification by fusing image-based features and probe information.

Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding (2022)
Presentation / Conference Contribution

Trajectory prediction of road users in real-world scenarios is challenging because their movement patterns are stochastic and complex. Previous pedestrian-oriented works have been successful in modelling the complex interactions among pedestrians, bu... Read More about Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding.

Addressing the QoS drift in specification models of self-adaptive service-based systems (2013)
Presentation / Conference Contribution