IJCNN 2011 Tutorial Proposals
| Section1 | 8:00 a.m.-10:00 a.m. |
| Tutorial 1 | Signal Processing and Machine Learning Approaches in Brain Machine Interfaces |
| Room A | |
| Tutor | Dr. G. Garcia-Molina, Philips Research Europe Laboratories (Eindhoven, The Netherlands) |
| link | http://www.brain-project.org/BCItutorial.html |
| Tutorial 2 | Adaptive Critic Designs |
| Room B | |
| Tutor | Dr. G K Venayagamoorthy, Real-Time Power and Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA |
| link | http://web.mst.edu/~ganeshv/tutorials-ijcnn2011_1.htm |
| Tutorial 3 | Comprehensive Introduction to the Evaluation of Neural Networks and other Computational Intelligence decision functions: Receiver Operating Characteristic, Jackknife, Bootstrap and other statistical methodologies |
| Room C | |
| Tutor | David G. Brown, Ph.D., US FDA |
| link | http://www.fda.gov/MedicalDevices/ScienceandResearch/ucm240052.htm |
| Tutorial 4 | Dynamic Logic |
| Room D | |
| Tutor | Leonid Perlovsky, AFRL, USA |
| link | http://www.leonid-perlovsky.com/ |
| Tutorial 5 | Complex-Valued Neural Networks: New Trends and Applications |
| Room E | |
| Tutor | Igor Aizenberg, Danilo Mandic, and Akira Hirose |
| link | http://www.eagle.tamut.edu/faculty/igor/IJCNN_CVNN_Tutorial.htm |
| Section 2 | 10:30 a.m.-12:30 p.m |
| Tutorial 6 | Neuropercolation + Neurodynamics: Dynamical Memory Neural Networks in Biological Systems and Computers |
| Room A | |
| Tutor | Walter J Freeman, Division of Neurobiology, University of California at Berkeley Robert Kozma |
| link | http://cnd.memphis.edu/ijcnn2011_Tut/ |
| Tutorial 7 | Advanced computational and learning methods for smart grid application |
| Room B | |
| Tutor | Dr. G K Venayagamoorthy, Real-Time Power and Intelligent Systems Laboratory, Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA |
| link | http://web.mst.edu/~ganeshv/tutorials-ijcnn2011_2.htm |
| Tutorial 8 | Evolving Neural Networks |
| Room C | |
| Tutor | Risto Miikkulainen, The University of Texas at Austin |
| link | http://nn.cs.utexas.edu/?neuroevolution-tutorial-ijcnn2011 |
| Tutorial 9 | Computational Social Science I: Sociodynamics: from concepts to data and back |
| Room D | |
| Tutor | Peter Erdi, Center for Complex System Studies, Kalamazoo College, Kalamazoo, MI, & Dept. Biophysics, KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Science, Budapest, Hungary |
| link | http://cneuro.rmki.kfki.hu/events/ijcnn11 |
| Tutorial 10 | Learning Deep Architectures and Applications |
| Room E | |
| Tutor | Ke Chen, School of Computer Science, The University of Manchester, UK |
| link | http://www.cs.manchester.ac.uk/~kechen/misc/deepnet.html |
| Section 3 | 1:30 p.m.-3:30 p.m |
| Tutorial 11 | Cognitive memory (pdf, doc) |
| Room A | |
| Tutor | Bernard Widrow, Stanford, CA |
| link | pdf, doc |
| Tutorial 12 | Brain-Like Prediction, Decision and Control |
| Room B | |
| Tutor | Paul J Werbos, NSF |
| linik | http://clion.memphis.edu/pwerbos/ |
| Tutorial 13 | Advanced methodologies for learning with sparse data |
| Room C | |
| Tutor | Vladimir Cherkassky, Dept. ECE, University of Minnesota |
| link | http://www.ece.umn.edu/users/cherkass/predictive_learning/Invited_Lect_Tut.html |
| Tutorial 14 | Computational Social Science II. Social Systems as Complex Interactive Networks |
| Room D | |
| Tutor | Peter Erdi, Center for Complex System Studies, Kalamazoo College, Kalamazoo, MI, & Dept. Biophysics, KFKI Research Institute for Particle and Nuclear Physics of the Hungarian Academy of Science, Budapest, Hungary |
| link | http://cneuro.rmki.kfki.hu/events/ijcnn11 |
| Tutorial 15 | Conformal Predictions for Reliable Machine Learning: Theory and Applications |
| Room E | |
| Tutor | Vineeth Balasubramanian, Center for Cognitive Ubiquitous Computing, Arizona State University Shen-Shyang Ho, Center for Automated Research, Institute for Advanced Computer Studies, University of Maryland Sethuraman Panchanathan, Center for Cognitive Ubiquitous Computing, Arizona State University Vladimir Vovk, Computer Learning Research Center, Royal Holloway Universityof London |
| link | http://www.public.asu.edu/~vnallure/conformalpredictions/index.html |
| Section 4 | 4:00 p.m.-6:00 p.m. |
| Tutorial 16 | Autonomous Machine Learning |
| Room A | |
| Tutor | Asim Roy, Department of Information Systems, Arizona State University, Tempe, AZ 85287-4606, USA |
| link | http://wpcarey.asu.edu/information-systems/asim-roy.cfm |
| Tutorial 17 | |
| Tutor | Giovanni E. Pazienza, The University of Memphis & Pazmany University, Hungary |
| link | |
| Tutorial 18 | Ensemble Learning through Diversity Management: Theory, Algorithms, & Applications |
| Room C | |
| Tutor | Dr. Huanhuan Chen, School of Computing, University of Leeds, Leeds,
Prof. Xin Yao, School of Computer Science, University of Birmingham, Birmingham, UK |
| link | http://www.cs.bham.ac.uk/~hxc/tutorial/index.htm |
| Tutorial 19 | Effective modeling of the time domain in neural networks |
| Room D | |
| Tutor | Dr. A. Ravishankar Rao, IBM Research, Dr. Guillermo A. Cecchi, IBM Research |
| link | https://sites.google.com/site/ijcnn2011raocecchi/ |
| Tutorilal 20 | Stochastic Artificial Neurons and Neural Networks |
| Room E | |
| Tutor | Richard C. Windecker, Ph.D. |
| link | http://rcwindecker.com/ |
