As a part of IWANN 2017 scientific programme, two prizes will be awarded:
– Best contribution.
– Best special session.
Each award will include a 500 € prize granted by Springer, publisher of the proceedings within its LNCS series. The support by Springer is gratefully acknowledged.
The concession will be decided by IWANN 2017 chairs, based upon scientific merit and relevance.
Confirmed Special Sessions
|SS01||Artificial Neural Networks in Industry ANNI’17||Dr Ahmed Hafaifa
Dr Kouzou Abdellah
Dr. Guemana Mouloud
|SS02||Computational Intelligence Tools and Techniques for Biomedical Applications||Dr. Miguel Atencia
Dr. Leonardo Franco
Dr. Ruxandra Stoean
|SS03||Machine Learning for Renewable Energy Applications||Dr. Sancho Salcedo Sanz
Dr. Pedro Antonio Gutiérrez
|SS04||Assistive Rehabilitation Technology||Dr. Oresti Baños
Dr. Jose A. Moral-Muñoz
|SS05||Computational Intelligence Methods for Time Series||Dr. German Gutierrez
Dr. Héctor Pomares
|SS06||Machine Learning Applied to Vision and Robotics||Dr. José García-Rodríguez
Dr. Enrique Dominguez
M.Sc. Mauricio Zamora
Dr. Eldon Caldwel
|SS07||Human activity recognition for health and well-being applications||Dr. Daniel Rodríguez-Martín
Dr. Albert Samà
|SS08||Software Testing and Intelligent Systems||Dr. Manuel Núñez
M.Sc. Pablo Cerro Cañizares
|SS09||Real World applications of BCI systems||Dr. Ricardo Ron
Dr. Ivan Volosyak
|SS10||Machine Learning in Imbalanced Domains||Dr. Jaime S. Cardoso
Dr. María Pérez Ortíz
|SS11||Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles||Dr. Wilbert Aguilar|
|SS12||End-user development for social robotics||M.Sc. Igor Zubrycki
M.Sc. Hoang-Long Cao
Dr. Emilia Barakova
|SS13||Artificial Intelligence and Games||Dr. Antonio J. Fernández-Leiva
Dr. Antonio Mora-García
Dr. Pablo García Sánchez
Technische Universiteit Eindhoven
We can distinguish human activities in intentional and unintentional, conscious and unconscious, and many more. Most of the modern design in the West is relying on conscious decision making of the user. The challenge in upcoming design is tapping into the unconscious of human behavior. Such kind of design has to rely on input signals beyond human language, e.g. bio-signals, video monitoring, deep learning, etc. The presentation will address the design challenges and shows potential directions into the future.
In Mapping brain-like structures and processes into electronic substrates has recently seen a revival with the availability of deep-submicron CMOS technology. The basic idea is to exploit the massive parallelism of such circuits and to create low power and fault-tolerant information-processing systems. Aiming at overcoming the big challenges of deep-submicron CMOS technology (power wall, reliability, and design complexity), bio-inspiration offers alternative ways to (embedded) artificial intelligence. The challenge is to understand, design, build, and use new architectures for nanoelectronic systems, which unify the best of brain-inspired information processing concepts and of nanotechnology hardware, including both algorithms and architectures. This talk will give an overview of our experiences in designing brain-inspired architectures for nanoelectronics.
Towards “Big Data, Weak Label and True Clinical Impact” on Medical Image Diagnosis: The Roles of Deep Label Discovery and Open-ended Recognition
U.S. National Institutes of Health