2007 PBAIC Results
First, second, and third place winners were announced at the Competition Workshop at the Organization for Human Brain Mapping being held June 10-14, 2007 in Chicago, Illinois, USA. Prizes will be awarded (1st: $10,000; Tied-2nd: $3,500; 3rd: $2,000; and Neuroscience Award: $5,000). Awards were presented during the morning workshop on Thursday, June 14, 2007. For more information, visit the OHBM website.
Audio | Video | Poster | Slides | Photos
Top 3 Winners
1st Place: $10,000 Prize
Carlton Chu, Yizhao Ni, Geoffrey Tan, John Ashburner
University College London
Title: Kernel Methods for fMRI Pattern Prediction – applications of Relevance Vector Regression and Kernel Ridge Regression
2nd Place (tied): $3,500 Prize
Denis Chigirev and The Princeton EBC Team
Princeton University
Title: One Size Does Not Fit All: Regressor and Subject Specific Techniques for Predicting Behavior in a Structured Environment
2nd Place (tied): $3,500 Prize
Giancarlo Valente, Federico De Martino, Fabrizio Esposito and the Maastricht Team
University of Maastricht
Title: Predictions of PBAIC 2007 Ratings with Linear Relevance Vector Machine regression
Neuroscience Award Winner - $5,000 Prize
Paul Rodriguez
University of California, Irvine
Title: Combining Ridge and/or Partial Least Squares Regression
Honorable Mentions
4th Highest Score (including some of the best feature predictions)
Rajan Patel
Emory University
Title: Prediction of dynamic experiences with neural networks and fMRI
Neuroscience Honorable Mention
Carlton Chu, Yizhao Ni, Geoffrey Tan, John Ashburner
University College London
Title: Kernel Methods for fMRI Pattern Prediction – applications of Relevance Vector Regression and Kernel Ridge Regression
Neuroscience Honorable Mention
Giancarlo Valente, Federico De Martino, Fabrizio Esposito and the Maastricht Team
University of Maastricht
Title: Predictions of PBAIC 2007 Ratings with Linear Relevance Vector Machine regression
Top 5-20 Participants
5. Greg Stephens and The Princeton EBC Team
Princeton University
Title: Locality and low-dimensions in the prediction of natural experience
6. Federico De Martino, Giancarlo Valente, Fabrizio Esposito and the Maastricht Team
University of Maastricht
Title: ‘Brain reading’ of movie data with RVM regression
7. Eric Gottschalk and David Vogel
Yahoo! / A.I. Insight
Title: Gaussian Process and Ridge Regression for fMRI Pattern
8. Chris Moore and The Princeton EBC Team
Princeton University
Title: Scooting Spherical Spotlight w/ Ridge Regression
9. Fabrizio Esposito
University of Naples
10. Li Yuanqing, Praneeth Namburi, Guan Cuntai, Zhang Haihong, Chin Zheng Yang, and Vivekanand Gopalkrishnan
Institute for Infocomm Research
Title: Sparse representation technique for voxel selection and regression in fMRI data analysis
11. Shalu Patel and Kinnery Naik
University of Miami
Title: Support Vector Regression and fMRI
12. Guillermo Cecchi, R. Garg. A.R. Rao, and I. Rish
IBM Watson Research Center
Title: Prediction of Brain Activity Based on the Elastic Net Algorithm
13. Paul Rodriguez
University of California, Irvine
Title: Combining Ridge and/or Partial Least Squares Regression
14. Istvan Szita
Eotvos Lorand University
Title: Poulation-based voxel selection with correlation maximization
15. Greg Detre
Princeton University
16. Irina Rish, G.A. Cecchi, R. Garg, and A.R. Rao
IBM Watson Research Center
Title: Prediction of Brain Activity Based on the Elastic Net Algorithm - II
17. Diego Sona(1), E. Olivetti(1), P. Avesani(1), R. Moretta(1), F. Zini(1), S. Veeramachaneni(2), J. Schwarzbach(3)
(1)IRST - Fondazione Bruno Kessler, (2)Thomson R&D, (3)University of Trento
Title: Mixture Models for Cognitive Brain State Prediction
18. Michael Bannert
Princeton University
Title: Searchlight and Ridge Regression
19. Emanuele Olivetti(1), D. Sona(1), P. Avesani(1), R. Moretta(1), F. Zini(1),
S. Veeramachaneni(2), J. Schwarzbach(3)
(1)IRST - Fondazione Bruno Kessler, (2)Thomson R&D, (3)University of Trento
Title: Gaussian Process for Cognitive Brain State Prediction
20. Gordana Derado
Emory University
Other Participants by Institution
Indrayana Rustandi
Carnegie Mellon University
Title: Predicting Brain Activity Using Lasso Regression with Kernel
Kinnery Naik
Emory University
Jiu Xuxin
Henan University
Floriano Zini
IRST - Fondazione Bruno Kessler
Renato Moretta
ITC-IRST
Satrajit Ghosh and Oliver P. Hinds
Massachusetts Institute of Technology
Title: Sieving BOLD data through filterbanks
Anton Kalinin
Moscow State University
Nikolaus Kriegeskorte and Youn Kim
National Insititute of Mental Health
Title: K-nearest-neighbors decoding of subjective experience from brain activity
Li Huamin
Normal University
Baojuan Li, Xinyuan An, Jianjian Wang, Jianzhai Wu
National University of Defense Technology
Title: SVM for fMRI images classification
Lin Wei, Huacan He, Li Liu, Pengtao Jia
Northwest Polytechnic University
Title: Linear or Non-linear, which is the better? Effective Methods for Brain image Data Mining
Lubov Zeifman
Penn State University
Title: Correlating brain data with complex behavioral and perception data using Independent Component Analysis
Hhuyang Wen
Qingdao University
Li Guoliang
Shandong University
Logan Grosenick and Catherine E Chang
Stanford University
Title: Ridge Regression on Spatially Independent Components
Suk Ling Wang
Tower Research
Aaron Bird
United Online
Niels Monshouwer and S. Ghebreab
University of Amsterdam
Title: Predictive modeling of fMRI Brain States using Functional Canonical Correlation Analysis
Francois Meyer, Per Sederberg and the Princeton EBC Team
University of Colorado
Title: Learning brain states with Laplacian eigenmaps
Alexandre Rosa Franco, Eduardo Castro, Andrew Mayer, Stephen Verzi, Vincent Calhoun and Gregory Heileman
University of New Mexico
Title: Using Boosted Fuzzy ARTMAP to Classify Brain Activity
Lai Xu and Jingyu Liu
University of New Mexico
Title: Functional Connectivity Among Spatially Independent Brain Regions During VR Task
Maria Grazia Di Bono and Marco Zorzi
University of Padova
Title: Support Vector Machines for the prediction of subjective experience from fMRI data
João Ricardo Sato, André Fujita and Anderson Marcelo Winkler
University of Sao Paulo
Title: Support Vector Regression and Splines Smoothing for Features Prediction
Jens Schwarzbach
University of Trento
Seth Hoedl
University of Washington
Leonid Rivinson
