Elements of information theory
Elements of information theory
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Journal of Cognitive Neuroscience
Editorial: Data Mining Lessons Learned
Machine Learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
The support vector decomposition machine
ICML '06 Proceedings of the 23rd international conference on Machine learning
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Bayesian Network Learning with Parameter Constraints
The Journal of Machine Learning Research
On the chance accuracies of large collections of classifiers
Proceedings of the 25th international conference on Machine learning
Recurrent Boosting for Classification of Natural and Synthetic Time-Series Data
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
An Investigation of Human Problem Solving System: Computation as an Example
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Classification in Very High Dimensional Problems with Handfuls of Examples
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Using Image Stimuli to Drive fMRI Analysis
Neural Information Processing
Classification of Suspected Liver Metastases Using fMRI Images: A Machine Learning Approach
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
GLM and SVM analyses of neural response to tonal and atonal stimuli: new techniques and a comparison
Connection Science - Music, Brain, Cognition
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Detection of cognitive states from fMRI data using machine learning techniques
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Resource constraints on computation and communication in the brain
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Brain state decoding for rapid image retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
fMRI analysis via one-class machine learning techniques
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Brain fMRI processing and classification based on combination of PCA and SVM
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Struct-NB: predicting protein-RNA binding sites using structural features
International Journal of Data Mining and Bioinformatics
Impending web intelligence (WI) and brain informatics (BI) research
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A machine learning approach to detecting instantaneous cognitive states from fMRI data
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Effectiveness of the finite impulse response model in content-based fMRI image retrieval
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Classifying EEG data into different memory loads across subjects
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Inferring cognition from fMRI brain images
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
POM centric multi-aspect data analysis for investigating human problem solving function
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Sparse signal recovery with exponential-family noise
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
EEG/ERP meets ACT-R: a case study for investigating human computation mechanism
BI'09 Proceedings of the 2009 international conference on Brain informatics
Using SVM to predict high-level cognition from fMRI data: a case study of 4*4 sudoku solving
BI'09 Proceedings of the 2009 international conference on Brain informatics
Simple fully automated group classification on brain FMRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
WordNet based features for predicting brain activity associated with meanings of nouns
CN '10 Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics
Feature-space-based fMRI analysis using the optimal linear transformation
IEEE Transactions on Information Technology in Biomedicine
Comparing classification methods for longitudinal fmri studies
Neural Computation
Comparing EEG/ERP-like and fMRI-like techniques for reading machine thoughts
BI'10 Proceedings of the 2010 international conference on Brain informatics
Sparse regression models of pain perception
BI'10 Proceedings of the 2010 international conference on Brain informatics
Generalized sparse classifiers for decoding cognitive states in fMRI
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Feature extraction for fMRI-based human brain activity recognition
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Learning sparse Gaussian Markov networks using a greedy coordinate ascent approach
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Behavior-constrained support vector machines for fMRI data analysis
IEEE Transactions on Neural Networks
Towards one-class pattern recognition in brain activity via neural networks
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Toward content-based indexing and retrieval of brain images
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Topology Selection in Graphical Models of Autoregressive Processes
The Journal of Machine Learning Research
Mixed-membership naive Bayes models
Data Mining and Knowledge Discovery
Classification of functional magnetic resonance imaging data using informative pattern features
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
The evolution of human systems: a brief overview
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Toward exploiting EEG input in a reading tutor
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Face prediction from fMRI data during movie stimulus: strategies for feature selection
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Generalized sparse regularization with application to fMRI brain decoding
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
Exploring functional connectivity networks in fMRI data using clustering analysis
BI'11 Proceedings of the 2011 international conference on Brain informatics
Multiclass sparse Bayesian regression for fMRI-based prediction
Journal of Biomedical Imaging - Special issue on Machine Learning in Medical Imaging
Exploiting temporal information in functional magnetic resonance imaging brain data
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Decoding visual brain states from fMRI using an ensemble of classifiers
Pattern Recognition
Bayesian hypothesis testing for pattern discrimination in brain decoding
Pattern Recognition
A supervised clustering approach for fMRI-based inference of brain states
Pattern Recognition
A probabilistic model for discovering high level brain activities from fMRI
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Decoding cognitive states from brain fMRIs: the "most differentiating voxels" way
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Multi-aspect data analysis for investigating human computation mechanism
Cognitive Systems Research
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
Distinguishing cognitive states using iterative classification
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Information-Theoretic based feature selection for multi-voxel pattern analysis of fMRI data
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Proceedings of the 6th Balkan Conference in Informatics
Toward Exploiting EEG Input in a Reading Tutor
International Journal of Artificial Intelligence in Education - Best of AIED 2011
Computers in Biology and Medicine
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Over the past decade, functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful new instrument to collect vast quantities of data about activity in the human brain. A typical fMRI experiment can produce a three-dimensional image related to the human subject's brain activity every half second, at a spatial resolution of a few millimeters. As in other modern empirical sciences, this new instrumentation has led to a flood of new data, and a corresponding need for new data analysis methods. We describe recent research applying machine learning methods to the problem of classifying the cognitive state of a human subject based on fRMI data observed over a single time interval. In particular, we present case studies in which we have successfully trained classifiers to distinguish cognitive states such as (1) whether the human subject is looking at a picture or a sentence, (2) whether the subject is reading an ambiguous or non-ambiguous sentence, and (3) whether the word the subject is viewing is a word describing food, people, buildings, etc. This learning problem provides an interesting case study of classifier learning from extremely high dimensional (105 features), extremely sparse (tens of training examples), noisy data. This paper summarizes the results obtained in these three case studies, as well as lessons learned about how to successfully apply machine learning methods to train classifiers in such settings.