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Participate in the Call 2021 definition! Submit your abstract to the CHIST-ERA Conference 2021 and share your views on the most promising scientific and technological challenges of the call topics.

Your abstract will be published below a few days after the submission.

By default, the abstract is for an online poster (a presentation in PDF format to be attached to your abstract online). If your abstract is selected for a talk, you will be informed by May 14.

Important dates
Abstract submission deadline: May 11
Notification of accepted abstracts: May 14


CES

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...

XAI

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...

XAI

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...

XAI

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...

XAI

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...

XAI

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...

XAI

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...

XAI

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...

XAI

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...

CES

Machine Intelligence for Smart Water System

The freshwater resources have been constantly depleting worldwide and it is forecasted that several countries will face acute...

CES

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...

CES

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...

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