Tutorials

 

2017 

 
Title
Organizer(s)
1
Interactive Machine Learning: From Classifiers to Robotics
Brad Hayes (Massachusetts Institute of 
Technology), Ece Kamar (Microsoft
Research), & Matt Taylor (Washington
State University)
2
Physics of the mind
Leonid I. Perlovsky (Northeastern Univ.)
3
Brain-Inspired Turing Machine Logic in Neural Networks for 
Vision, Speech, and Natural Languages
Juyang Weng (Michigan State Univ.)
4
Information theoretic learning in pattern classification
 Bao-Gang (B.-G.) Hu (Chinese Academy 
of Sciences)
5
Change and Anomaly Detection in Data Streams
 Giacomo Boracchi (Politecnico de Milano)
6
Deep Learning Using Multi-Layer Perceptron and 
Improving its Performance
B.Chandra (Sprinklr)
7
Topological and graph based Clustering: recent 
algorithmic advances
Nistor Grozavu (Univ. Paris 13), 
Rushed Kanawati
(Univ. Paris 13)
8
 
Advanced Methodologies for Predictive Learning
 
Vladimir Cherkassky (Univ. of Minnesota)
9
Deep Learning for EEG Signal Processing and Health 
Informatics
 
Francesco Carlo Morabito (Mediterranean 
University of Reggio Calabria)
10
Deep Learning for Face Recognition
Richa Singh and Mayank Vatsa (IIIT-Delhi)
11
Graphical Probabilistic Modeling and Machine Learning for 
Multimedia Content Analysis
Xiao-Ping (Steven) Zhang (Ryerson University),
Zhu Liu (AT&T Labs - Research)
12
Monte Carlo Tree Search and other Simulation 
Optimization Methods
Michael C. Fu, (Univ. of Maryland)
13
Data insights from machine learning with applications to 
biomedical data
 
Paulo Lisboa (Liverpool John Moores Univ.)
 
14
Time-Evolving Data Streams Learning and Short-Term 
Urban Traffic Flow Forecasting
Francesco Masulli (Univ. di Genoa)
15
Deep multiview representation learning: methods and 
applications
Raman Arora and
Kevin Duh
(Johns Hopkins University)
16
Advanced Neural Network Applications for Smart Grid 
Operations
G. Kumar Venayagamoorthy (Clemson Univ.)
17
From Complex Systems Theory to Systems Neuroscience
Péter Érdi (Kalamazoo College)
18
Event-Related Potentials: Cognition in Brain-Computer 
Interfaces
João Luís Garcia Rosa (Universidade de 
São Paulo)
19
Towards the Ultimate Brain Computer – Hardware 
Designs of Artificial & Spiking Neural
Networks
Jae-sun Seo (Arizona State Univ.),
Bipin Rajendran (New Jersey Institute of
Technology)
20
Cutting heuristics in Computational Intelligence with 
Visual Data Mining
 
Boris Kovalerchuk (Centreal Washington 
Univ.)