PONTA DELGADA, AZORES, PORTUGAL
JUNE 19-21, 2023
|January 11th, 2023||Plenary Speakers|
|January 11th, 2023||Submission open|
|January 10th, 2023||European Projects Working Groups Creation|
|January 9th, 2023||Early Career Researcher awards|
|September 20th, 2022||Call for Special Sessions|
|September 16th, 2022||First Call for Papers|
Invited Plenary Speakers
|Amaury Lendasse||Alberto Bosio|
|Metric Learning with Missing Data||Exploiting Approximate Computing|
for Efficient and Reliable
Convolutional Neural Networks
Early Career Researcher IWANN 2023 awards by PeerJ Publishing
As a part of a successful collaboration between IWANN 2023 and PeerJ Publishing, two awards are offered:
- Best poster
- Best presentation
The recipients must be early career researcher (PhD student or up to 4 years postdoc) who authors a full paper, attends the Conference and presents the poster or talk.
The winners will be invited to submit a substantial extension of their papers to the PeerJ Computer Science journal. If accepted, the publication(s) will have Article Processing Charges waived. PeerJ Publishing also features award winners on their blog site and interviews them regarding their research.
First Call for Papers
On behalf of the Organizing Committee of the 17th International Work-Conference on Artificial Neural Networks (IWANN2023), we are pleased to invite you to participate in this event that will be held in June 2023 in Ponta Delgada (Sao Miguel, Azores Islands, Portugal). This gathering will bring people physically together again after 4 years in the one of the most beautiful Atlantic’s islands, conducive to creativity and inspiration.
This biennial meeting seeks to provide a discussion forum for scientists, engineers, educators and students about the latest discoveries and realizations in the foundations, theory, models and applications of systems inspired by nature, as well as in emerging areas related to the above items, using computational intelligence methodologies. As in previous editions, we strongly emphasize the wide range of topics comprised under the umbrella of IWANN2023 and, in particular, we focus on trending topics such as Deep Learning and Ethics in AI. It’s confirmed one tutorial about “From Deep Learning to Deep Understanding”.
We present below a non-exhaustive list of areas of interest for the congress to get a flavour of the IWANN23’ orientation:
- Mathematical and theoretical methods in computational intelligence
- Deep Learning
- Learning and adaptation
- Emulation of cognitive functions
- Bio-inspired systems and neuro-engineering
- Advanced topics in computational intelligence
- Agent based models
- Time series forecasting
- Robotics and cognitive systems
- Interactive systems and BCI
- Machine Learning for 4.0 industry solutions
- AI Health
- AI in 5G technology
- Social and Ethical aspects of AI
- General Applications of AI
The approach will be both theoretical and practical, through invited talks, tutorials, workshops, posters, presentation of demos and functional prototypes. Besides, we offer the possibility to carry out a limited number of virtual presentations for those who want to participate but have serious difficulties to travel. The proceedings will include all the presented communications to the conference. As in previous editions of IWANN, we are arranging the publication of the proceedings with Springer-Verlag as Lecture Notes in Computer Science (LNCS) series, and the books will be available shortly after the Congress in order allow the authors to incorporate suggestions and improvements from the presentations. It is also foreseen the publication of extended versions of selected papers in special issues of several prestigious journals. Previous congresses led to special issues of Neural Computing and Applications, Plos One and Neural Processing Letters. We are working to have at least the same collaborations.