Submitted abstracts are listed below.
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Energy-aware paradigm for designing compact data structures
In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off...
Explaining Visual Classification using Attributes
The performance of deep Convolutional Neural Networks (CNN) has been reaching or even exceeding the human level on large number of...
Design Space Exploration of Deep Learning Models for embedded vision and health devices
Deep Neural Networks (DNNs) suffer from energy-hungry implementation due to their computation and memory intensive processing...
Explainable AI in process of complexity reduction of DL models and in boosting theirs performance
The performance of AI systems based on deep learning models is exceeding the human level on an increasing number of tasks like...
Explainable Machine Learning based on Instances
Example-based explanation methods select particular instances of the dataset to explain the behavior of machine learning models or...
Explainable AI and regulatory framework
European regulations require that products marketed in the territory must be safe and reliable. In this context, it is necessary...
History-Aware Explainability in Self-adaptation using Temporal Models
On the one hand, there has been a growing interest towards the application of AI-based for self-adaptation under uncertainty. On...
History-Aware Explainability in Self-adaptation using Temporal Models
On the one hand, there has been a growing interest towards the application of AI-based for self-adaptation under uncertainty. On...
Smart Spaces Lab infrastructure
We highlight the infrastructure available in our Smart Spaces lab, the projects which have been run with it, as well as other...
Machine Intelligence for Smart Water System
The freshwater resources have been constantly depleting worldwide and it is forecasted that several countries will face acute...
Cloud-based Federated Learning for Environmental Data
Analysis of environmental data is the key to most computational approaches for sustainability. However, such data feature complex...
The role of Semantic web in Biodiversity data management
The biodiversity research discipline studies the totality and variability of organisms, their morphology and genetics, life...