research
∙
08/04/2023
Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes
We introduce a novel semi-supervised Graph Counterfactual Explainer (GCE...
share
research
∙
07/14/2023
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection
Anomalies are rare and anomaly detection is often therefore framed as On...
research
∙
02/13/2023
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis
Real-time monitoring of human behaviours, especially in e-Health applica...
research
∙
02/01/2023
Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions
Visualization Recommendation Systems (VRS) are a novel and challenging f...
research
∙
11/16/2022
Are we certain it's anomalous?
The progress in modelling time series and, more generally, sequences of ...
research
∙
10/21/2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation
In recent years, Graph Neural Networks have reported outstanding perform...
research
∙
10/22/2019