Connectionists: [IJCNN 2017] Paper submission deadline is on Tuesday, November 15, 2359 HR UTC-10

Teng Teck Hou dengdehao at gmail.com
Mon Nov 7 21:04:56 EST 2016


[Apologies for cross-postings]

 

##################################################

CALL FOR PAPERS

 

International Joint Conference on Neural Networks

 

May 14-19, 2017,  Anchorage, Alaska, USA

 

http://www.ijcnn.org/

http://www.ijcnn.org/call-for-papers 

##################################################

 

IJCNN is the premier international conference in the area of neural network
theory, analysis, and applications. Co-sponsored by the International Neural
Network Society (INNS) and the IEEE Computational Intelligence Society
(IEEE-CIS), over the last three decades this conference and its predecessors
has hosted [past, present, and future] leaders of neural network research.
IJCNN 2017 will feature invited plenary talks by world-renowned speakers in
the areas of neural network theory and applications, computational
neuroscience, robotics, and distributed intelligence. In addition to regular
technical sessions with oral and poster presentations, the conference
program will include special sessions, competitions, tutorials and workshops
on topics of current interest.

 

The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will
be held at the William A. Egan Civic and Convention Center in Anchorage,
Alaska, USA, May 14-19, 2017. "... Only in Anchorage can you meet a moose,
walk on a glacier and explore a vast, natural park all in a single day.
Between mountains and an inlet, surrounded by national parks and filled with
Alaska wildlife, Anchorage combines the best of Alaska in a city that has
the comforts of home and the hospitality of the Last Frontier. ..."

 

For the latest updates, follow us on Facebook (https://fb.me/ijcnn2017/) and
Twitter (@ijcnn2017).

 

##############################Important Dates##############################

* Paper Submission
November 15, 2016

* Paper Decision Notification
January 20, 2017

* Camera-Ready Submission
February 20, 2017

###########################################################################

 

##########################Plenary Speakers##########################

* Alex Graves, Research Scientist, Google DeepMind

 

* Stephen Grossberg, Wang Professor of Cognitive and Neural Systems, Boston
University, USA

 

* Odest Chadwicke Jenkins, Associate Professor of Computer Science and
Engineering, University of Michigan

 

* Christof Koch, President and Chief Scientific Officer, Allen Institute for
Brain Science, USA

 

* Jose C. Principle, Distinguished Professor, University of Florida, USA

 

* Hava Siegelmann, Program Manager, DARPA

 

* Paul Werbos, Program Director (retired), National Science Foundation

####################################################################

 

##########################Accepted Special
Sessions##########################

1              Advanced Data Analytics for Large-scale Complex Data
Environment       

                Jia, Wu (University of Technology Sydney); Shirui, Pan;
Xiangnan, Kong; Ivor W., Tsang

                

2              Advances in Computational Intelligence for applied Time
Series Forecasting (ACIATSF)   

                Rodriguez Rivero (Universidad Nacional de Crdoba,
Argentina), Cristian; Leonardo, Franco; Julian, Pucheta; Juarez, Gustavo

                

3              Artificial Neural Network Solutions in Power Plant Safety and
Security    

                Alamaniotis, Miltos (Purdue University, USA); Tambouratzis,
Tatiana

                

4              Artificial Neural Network-Based Methodologies for
Environmental Sustainability Development: Theory and Practice


                Souliou, Dora (National Technical University of Athens,
Greece);Tambouratzis, Tatiana

                

5              Biologically Inspired Computational Vision            

                Iftekharuddin, Khan (Old Dominion Univ., USA)

                

6              Biologically-inspired Neural Networks and Learning Systems
for Robotics              

                Luo, Chaomin (Univ. of Detroit City, USA)

                

7              Cognition and Development       

                Alessandro Di Nuovo (Sheffield Hallam Univ., UK);
Pierre-Yves Oudeyer; Angelo Cangelosi

                

8              Computational Intelligence Algorithms for Digital Audio
Applications       

                Principi, Emanuele (Universita Politecnica delle Marche,
Italy); Uncini, Aurelio; Schuller, Björn; Squartini, Stefano

                

9              Concept Drift, Domain Adaptation & Learning in Dynamic
Environments                

                Giacomo, Boracchi (Politecnico de Milano, Italy); Robi,
Polikar; Manuel, Roveri; regory Ditzler

                

10           Cybersecurity Analytics 

                Catherine Huang (Intel)

                

11           Data Mining and Knowledge Discovery in Cyber-Physical Systems


                Bo, Tang (Hofstra Univ. USA); Ozawa, Seiichi; Alippi,
Cerase; He, Haibo

                

12           Data stream mining in industry  

                Xu, Rui (General Electric); Xu, YunWen; Yan, Weizhong

                

13           Deep and Reinforcement Learning (DRL)              

                Altahhan, Abdulrahman (Coventry Univ., UK); Palade, Vasile;
Razavi-Far, Roozbeh;

                

14           Explainability of Learning Machines         

                Guyon, Isabelle (Universit Paris-Saclay, France); Escalante,
Hugo Jair; Escalera, Sergio; Viegas, Evelyne

                

15           Extreme Learning Machines (ELM)           

                Huang, Guang-Bin (Nanyang Technological Univ., Singapore);
Cambria, Erik; Weizhong, Yan; Wunsch II, Donald C.

                

16           Incremental Machine Learning: Methods and Applications


                Nicoleta Rogovschi (Paris Descartes Univ., France); Seiichi
Ozawa (Kobe University, Japan)

                

17           Intelligent Vehicle and Transportation Systems  

                Murphey, Yi (Univ. of Michigan-Dearborn, USA); Abou-Nasr,
Mahmoud; Sethi, Ishwar K; Robert, Karlsen; Ahmadi , Majid; Luo, Chaomin;
Dauwels, Justin; Kocchar, Dev;

                

18           Interpretable Models in Machine Learning for Advanced Data
Analysis   

                Biehl, Michael (Univ. of Groningen, Netherlands); Villmann,
Thomas

                

19           Large Datasets and Big Data Analytics: Theory, Methods, and
Applications            

                Oneto, Luca (University of Genoa, Italy); Navarin, Nicolo?;
Donini, Michele; Aiolli, Fabio; Anguita Davide

                

20           Machine Learning for Business Analytics               

                Sung, Chul (IBM); Higgins, Chunhui; Zhang Bo; Park, Chanjin

                

21           Machine Learning for Enhancing Biomedical Data Analysis


                Martin-Guerrero, Jose D. (Univ. of Valencia, Spain); Lisboa,
Paulo J. G.; Vellido, Alfredo; Taktak, Azzam F. G.; Peterson, Leif E.

                

22           Machine Learning Methods Applied to Medicine              

                Bolon-Canedo, Veronica (Univ. of A Corua, Spain); Remeseiro,
Beatriz; Alonso-Betanzos, Amparo; Campilho, Aurelio

                

23           Machine Learning Methods applied to Vision and Robotics (MLMVR)


                Garcia-Rodriguez, Jose (Univ. of Alicante, Spain); Escalera,
Sergio; Psarrou, Alexandra;Guyo, Isabel; Lewis, Andrew; Leitner, Juxi;
Dominguez, Enrique

                

24           Machine Learning Techniques for Data-Driven Cyber Security     

                Hongmei He (Cranfield Univ., UK)

                

25           Mind, Brain, and Cognitive Algorithms    

                Perlovsky, Leonid (Northeastern Univ., USA); Fontanari, Jose
F.; Roy, Asim; Cangelosi, Angelo; Levine, Daniel

                

26           Nature-Inspired Neural Network Optimization   

                Bosman (Rakitianskaia), Anna (Univ. of Pretoria, South
Africa); Engelbrecht, Andries

                

27           Neuro-Inspired Computing with Nanoelectronic Devices


                Saibal Mukhopadhyay (Georgia Tech, USA); Kaushik Roy

                

28           Neural Network Transfer Learning for the Recognition of Human
Behavior and Affect     

                Schwenker, Friedhelm (Univ. of Ulm, Germany); Scherer,
Stefan;

                

29           Online Real-Time Strategies for Data Stream Mining        

                Mahardhika Pratama (La Trobe University, Australia), Plamen
P. Angelov, Meng Joo Er, Edwin Lughofer

                

30           Optimizing Neural Networks via Evolutionary Computation and
Swarm Intelligence          

                Wei-Chang Yeh (National Tsing Hua Univ. Taiwan), Yew-Soon
Ong

                

31           Probabilistic Models and Kernel Methods             

                Sun, Shiliang (East China Normal Univ. China); Ding, Shifei;
Liu, Huawen; Wang, Wenjian; Yang, Xiaowei; Zhang, Li; Zhao, Jing

                

32           Reservoir Computing in Hardware            

                Merkel, Cory (Airforce Research Laboratory, USA); McDonald,
Nathan; Thiem, Clare; Wysocki, Bryant

                

33           Smart Educational Techniques in Big Data Age    

                Guandong Xu (Univ. Technology Sydney, Australia), Gang Li,
and Wu He

############################################################################
#

 

############Paper Submission and Publication############

* Regular paper can have up to 8 pages in double-column IEEE Conference
format

 

* All papers are to be prepared using IEEE-compliant Latex or Word templates
on paper of U.S. letter size.

 

* All submitted papers will be checked for plagiarism through the IEEE
CrossCheck system. 

 

* Papers with significant overlap with the authors own papers or other
papers will be rejected without review.

########################################################

 

##################Topics and Areas of Interest##################

This conference solicits papers addressing original works in topics and
areas of interest including, but are not limited to:

 

NEURAL NETWORK MODELS

* Feedforward neural networks

* Recurrent neural networks

* Self-organizing maps

* Radial basis function networks

* Attractor neural networks and associative memory

* Modular networks

* Fuzzy neural networks

* Spiking neural networks

* Reservoir networks (echo-state networks, liquid-state machines, etc.)

* Large-scale neural networks

* Other topics in artificial neural networks

 

MACHINE LEARNING

* Supervised learning

* Unsupervised learning and clustering, (including PCA, and ICA)

* Reinforcement learning

* Probabilistic and information-theoretic methods

* Support vector machines and kernel methods

* EM algorithms

* Mixture models, ensemble learning, and other meta-learning or committee
algorithms

* Bayesian, belief, causal, and semantic networks

* Statistical and pattern recognition algorithms

* Visualization of data

* Feature selection, extraction, and aggregation

* Evolutionary learning

* Hybrid learning methods

* Computational power of neural networks

* Deep learning

* Other topics in machine learning

 

NEURODYNAMICS

* Dynamical models of spiking neurons

* Synchronization and temporal correlation in neural networks

* Dynamics of neural systems

* Chaotic neural networks

* Dynamics of analog networks

* Neural oscillators and oscillator networks

* Dynamics of attractor networks

* Other topics in neurodynamics

 

COMPUTATIONAL NEUROSCIENCE

* Connectomics

* Models of large-scale networks in the nervous system

* Models of neurons and local circuits

* Models of synaptic learning and synaptic dynamics

* Models of neuromodulation

* Brain imaging

* Analysis of neurophysiological and neuroanatomical data

* Cognitive neuroscience

* Models of neural development

* Models of neurochemical processes

* Neuroinformatics

* Other topics in computational neuroscience 

 

NEURAL MODELS OF PERCEPTION, COGNITION AND ACTION

* Neurocognitive networks

* Cognitive architectures

* Models of conditioning, reward and behavior

* Cognitive models of decision-making

* Embodied cognition

* Cognitive agents

* Multi-agent models of group cognition

* Developmental and evolutionary models of cognition

* Visual system

* Auditory system

* Olfactory system

* Other sensory systems

* Attention

* Learning and memory

* Spatial cognition, representation and navigation

* Semantic cognition and language

* Neural models of symbolic processing

* Reasoning and problem-solving

* Working memory and cognitive control

* Emotion and motivation

* Motor control and action

* Dynamical models of coordination and behavior

* Consciousness and awareness

* Models of sleep and diurnal rhythms

* Mental disorders

* Other topics in neural models of perception, cognition and action

 

NEUROENGINEERING

* Brain-machine interfaces

* Neural prostheses 

* Neuromorphic hardware

* Embedded neural systems

* Other topics in neuroengineering

 

BIO-INSPIRED AND BIOMORPHIC SYSTEMS

* Brain-inspired cognitive architectures

* Embodied robotics

* Evolutionary robotics

* Developmental robotics

* Computational models of development

* Collective intelligence

* Swarms

* Autonomous complex systems

* Self-configuring systems

* Self-healing systems

* Self-aware systems

* Emotional computation

* Artificial life

* Other topics in bio-inspired and biomorphic systems

 

APPLICATIONS 

* Bioinformatics

* Biomedical engineering

* Data analysis and pattern recognition 

* Speech recognition and speech production 

* Robotics

* Neurocontrol

* Approximate dynamic programming, adaptive critics, and Markov decision
processes

* Neural network approaches to optimization

* Signal processing, image processing, and multi-media 

* Temporal data analysis, prediction, and forecasting; time series analysis 

* Communications and computer networks 

* Data mining and knowledge discovery 

* Power system applications 

* Financial engineering applications 

* Applications in multi-agent systems and social computing 

* Manufacturing and industrial applications 

* Expert systems 

* Clinical applications 

* Big data applications 

* Smart grid applications

* Other applications 

 

CROSS-DISCIPLINARY TOPICS 

* Hybrid intelligent systems 

* Swarm intelligence 

* Sensor networks 

* Quantum computation 

* Computational biology 

* Molecular and DNA computation 

* Computation in tissues and cells 

* Artificial immune systems 

* Other cross-disciplinary topics 

################################################################

 

##########################Organizing Committee##########################

General Chair

* Yoonsuck Choe, Texas A and M University, USA

 

Program Chair 

* Christina Jayne, Robert Gordon University, UK

 

Technical Co-Chairs

* Irwin King, The Chinese University of Hong Kong, China

* Barbara Hammer, University of Bielefeld, Germany

 

Plenary Chair

* Cesare Alippi, Politecnico di Milano, Italy

 

Special Session Co-Chairs

* Derong Liu, University of Chicago, USA

* Tatiana Tambouriatzis, University of Piraeus, Greece

 

Tutorial Chair

* Asim Roy, Arizona State University, USA 

 

Workshop Chair

* Lazaros Iliadis, Democritus University of Thrace, Greece

 

Poster Session Chair

* Richard Duro, Universidad Coruna, Spain

 

Competition Chair

* Juyang (John) Weng, Michigan State University, USA

 

Panels Chair

* Robert Kozma, University of Memphis, USA

 

Awards Chair

* Nikola Kasabov, Auckland University of Technology, Australia

 

Web Reviews Chair

* Tomasz Cholewo, Lexmark International Inc., USA

 

Sponsors & Exhibits Chair

* Lipo Wang, Nanyang Technological University, Singapore

 

Publication Chair

* Bill Howell, Natural Resources Canada (retired), Canada

 

International Liaison

* Teresa Ludermir, Universidade Federal de Pernambuco, Brazil 

 

European Liaison

* Danilo P. Mandic, Imperial College, UK

 

Asia-Pacific Liaison

* Minho Lee, Kyungpook National University, Korea

 

Neuroscience Liaison

* Péter Érdi, Kalamazoo College, USA

 

Robotics Liaison

* Pierre-Yves Oudeyer, INRIA, France

 

Industry Liaison

* Sven F. Crone, Lancaster University, UK

 

Publicity Co-Chairs

* Giacomo Boracchi, Politecnico di Milano, Italy 

* Simone Scardapane, Sapienza University, Italy

* Teck-Hou Teng, Singapore Management University, Singapore 

 

Local Arrangements Co-Chairs

* Frank W. Moore, University of Alaska, USA

* Kenrick Mock, University of Alaska, USA

 

Registration Chair

* Jaerock Kwon, Kettering University, USA

 

Webmaster

* Jaewook Yoo, Texas A & M University, USA

#######################################################################

 

##################Sponsoring Organizations##################

* INNS - International Neural Network Society

* IEEE - Computational Intelligence Society

* BSCS - Budapest Semester in Cognitive Science

* BMI - Brain-Mind Institute

############################################################

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20161108/e970d9a6/attachment.html>


More information about the Connectionists mailing list