November 22, 2016


Pending final publication

DOI: 10.1007/978-3-319-59153-7


DOI: 10.1007/978-3-319-59147-6



Preliminary programme

You are invited to check the programme of IWANN 2017. Please feel free to let us know about any eventual errors and make any comments or suggestions.

Information for chairpersons: after your sesion, please fill in this form with your assessment for each presented contribution.


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

# Title Organizers
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

Invited speakers

How to design for the unconscious

Matthias Rauterberg

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.


Cognitronics: Resource-efficient Architectures for Cognitive Systems

Ulrich Rückert

Bielefeld University


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

Le Lu

U.S. National Institutes of Health