Special Sessions (2017)

 

The finalized special sessions to be included in the conference program are listed below. Please see the full program and the session overview for details on the papers to be presented in these special sessions.

All special session papers go through the same rigorous review process. Special sessions with only a small number of accepted papers will be canceled, and the accepted papers moved to the regular oral or poster sessions. 

ID Title Organizers
S01 Advanced Data Analytics for Large-scale Complex Data Environment Jia Wu (University of Technology Sydney); Liu Xiaobo
S06 Biologically Inspired Neural Networks and Learning Systems for Robotics Chaomin Luo (Univ. of Detroit Mercy, USA)
S07 Cognition and Development Alessandro Di Nuovo (Sheffield Hallam Univ., UK); Pierre-Yves Oudeyer; Angelo Cangelosi
S08 Computational Intelligence Algorithms for Digital Audio Applications Emanuele Principi (Universita Politecnica delle Marche, Italy)
S09 Concept Drift, Domain Adaptation, and Learning in Dynamic Environments Giacomo Boracchi (Politecnico de Milano, Italy); Robi Polikar
S10+24 Cybersecurity Analytics Catherine Huang (Intel); Hongmei He (Cranfield Univ., UK); Celeste Fralick (McAfee)
S11 Data Mining and Knowledge Discovery in Cyber-Physical Systems Tang Bo (Hofstra Univ. USA)
S12+29 Datastream Mining Ru Xui; Mahardhika Pratama (La Trobe University, Australia)
S14+18 Explainability and Interpretability in Machine Learning Isabelle Guyon (Universit Paris-Saclay, France); Michael Biehl (Univ. of Groningen, Netherlands)
S15 Extreme Learning Machines  Guang-Bin Huang (Nanyang Technological Univ., Singapore); Erik Cambria
S17 Intelligent Vehicle and Transportation Systems Yi Murphey (Univ. of Michigan-Dearborn, USA)
S19 Large Datasets and Big Data Analytics: Theory, Methods, and Applications Luca Oneto (University of Genoa, Italy)
S20 Machine Learning for Business Analytics Chul Sung (IBM)
S22 Machine Learning Methods Applied to Medicine Veronica Bolon-Canedo (Univ. of A Corua, Spain)
S23 Machine Learning Methods applied to Vision and Robotics (MLMVR) Jose Garcia-Rodriguez (Univ. of Alicante, Spain)
 

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