Best Student Paper Awards
15 June, 2020
Dear colleagues,
Due to the high quality of the papers we have decided to offer 4 best student paper awards of 250 Euros (Springer cheques) each.
The papers of the 21st EANN to receive the best paper award and Springer cheques for books of 250 Euros each are:
- Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks by Alessandro Cennamo, Florian Kaestner, Anton Kummert
- λ-DNNs and their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization by Marina Kontou, Dimitrios Kapsoulis, Ioannis Baklagis, and Kyriakos Giannakoglou
The papers of the 16th AIAI 2020 to receive the best student paper award and Springer cheques for books of 250 Euros each are:
- Autonomous Navigation for Drone Swarms in GPS-Denied Environments using Structured Learning by William Power, Zoran Obradovic, Martin Pavlovski, Daniel Saranovic, Ivan Stojkovic
- Arbitrary Scale Super-Resolution for Brain MRI Images by Chuan Tan, Jin Zhu, Pietro Lio
Conference Program
The conference program for the virtual event is available; click below to view.
View Program
Proceedings
Proceedings have been published and all conference participants can download their personal copy from HERE. Password will be mailed directly to participants.
Update from the organisers
27 March, 2020
Dear colleagues of the EANN community,
Developments in the Covid-19 virus have created a worldwide tragedy that we are watching on a daily basis hoping to end as soon as possible. After 21 years of holding EANN, strong links have been developed with the members of our scientific community. This has been proven very clearly this year, with the high volume of submissions despite the major challenges facing our societies. We wish to thank you very much for that.
Human health is the most important asset of all. We are interested in the health and wellbeing of all our community, under the challenging circumstances that we are all facing.
In case the crisis ends in due time we still leave the option to hold the conference in the arranged venue open. If this is not the case, the conference will be held in a hybrid mode. Detailed information regarding the 21st EANN 2020 will be announced on the website. We will also send you a relative email.
BEST STUDENT PAPER AWARDS
2 Scholarships (Springer cheques) of 500 Euros each will be given to the 2 Best Student Papers which can be used to purchase any Springer books desired.
Important Dates updated
Click here to view
Plenary Talk
Prof. John Macintyre
Pro Vice Chancellor at the University of Sunderland, United Kingdom
Professor Macintyre will give a plenary talk on the following subject:
AI Applications during the COVID-19 Pandemic – A Double Edged Sword
PROCEEDINGS
The Proceedings of the 21st EANN 2020 will be published in the SPRINGER INNS (International Neural Networks Society) book series and INDEXED to the WEB OF SCIENCE and DBLP
For more information visit the following Springer Link:
https://www.springer.com/series/16268
BEST PAPER AWARDS
ONE BEST PAPER AWARD of 150 Euros cash will be given to the best student EANN/AIAI 2020 paper
by the General co-Chair PROFESSOR JOHN MACINTYRE (University of Sunderland).
BIBLIOMETRIC DETAILS
We proudly announce that according to Springer’s statistics, the last 9 EANN conferences have been downloaded 491,289 times!!!
For more Bibliometric Details Please click … EANN BIBLIOMETRIC DETAILS
T U T O R I A L S
Artificial Intelligence for Cloud Computing Management
Prof. Vincenzo Piuri
This talk will discuss a user-centric, dependability- and resilience-driven framework that considers deploying and protecting users’ applications in the Cloud infrastructure so as to minimize their exposure to the vulnerabilities in the network, as well as offering fault tolerance and resilience as a service to the users who need to deploy their applications in the Cloud.
AI/ML for games for AI/ML
Dr Kostas Karpouzis
In this tutorial, we will discuss both approaches that relate AI/ML to games: starting from a theoretical review of user/player modelling concepts, we will discuss how we can collect data from the users during gameplay and use them to adapt the player experience or model the players themselves. Following that, we will discuss AI/ML algorithms used to train computer-based players and how these can be used in contexts outside gaming. Finally, we will discuss player modelling in contexts related to serious gaming, such as health and education.
Utilizing FPGA for AI acceleration without noticing it!
Prof. Yannis Papaefstathiou
Two years ago, an overview was presented in AIAI of how the designers can utilize FPGAs in their embedded systems, through the use of High-Level-Synthesis (HLS) Tools. In this presentation we will dive into the new development approaches that allow the designer to take full advantage of FPGAs, both in the Cloud and on the Edge, while barely noticing that their core processing is executed on reconfigurable logic. The new emerging design flow is based on seamlessly utilizing open-source accelerated libraries that are being optimized for execution on the new highly heterogeneous FPGA-based systems.
W O R K S H O P S
To Be Announced
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