Russell Greiner

Sambasivarao Damaraju

BMC Bioinform., 2013

Breast cancer prediction using genome wide single nucleotide polymorphism data.

[BibT_eX]

[DOI]

Sambasivarao Damaraju

BMC Bioinform., 2013

Online Learning with Costly Features and Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Fully Automated Brain Tumor Segmentation Using Two MRI Modalities.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

Finding Discriminatory Genes: A Methodology for Validating Microarray Studies.

[BibT_eX]

[DOI]

Sheehan Khan

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

An automatic brain tumor segmentation tool.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Predicting Army Combat Outcomes in StarCraft.

[BibT_eX]

[DOI]

Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013

2012

An experimental methodology for response surface optimization methods.

[BibT_eX]

[DOI]

J. Glob. Optim., 2012

Combining gene expression and interaction network data to improve kidney lesion score prediction.

[BibT_eX]

[DOI]

Int. J. Bioinform. Res. Appl., 2012

Learning to predict ice accretion on electric power lines.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2012

Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions

[BibT_eX]

[DOI]

CoRR, 2012

Quick detection of brain tumors and edemas: A bounding box method using symmetry.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2012

A Generalized Loop Correction Method for Approximate Inference in Graphical Models.

[BibT_eX]

[DOI]

Siamak Ravanbakhsh

Chun-Nam Yu

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Using Classifier-Based Nominal Imputation to Improve Machine Learning.

[BibT_eX]

[DOI]

Amri Napolitano

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Mind change optimal learning of Bayes net structure from dependency and independency data.

[BibT_eX]

[DOI]

Oliver Schulte

Wei Luo

Siamak (Moshen) Ravanbakhsh

Inf. Comput., 2010

Budgeted Distribution Learning of Belief Net Parameters.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

The IMAP Hybrid Method for Learning Gaussian Bayes Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2010

A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra.

[BibT_eX]

[DOI]

Barnabás Póczos

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

HMDB: a knowledgebase for the human metabolome.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2009

Making an accurate classifier ensemble by voting on classifications from imputed learning sets.

[BibT_eX]

[DOI]

Int. J. Inf. Decis. Sci., 2009

Predicting homologous signaling pathways using machine learning.

[BibT_eX]

[DOI]

Bioinform., 2009

Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Learning when to stop thinking and do something!

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning to segment from a few well-selected training images.

[BibT_eX]

[DOI]

Alireza Farhangfar

Csaba Szepesvári

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

VipBoost: A More Accurate Boosting Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

A new hybrid method for Bayesian network learning With dependency constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2009

LILAC - Learn from Internet: Log, Annotation, and Content.

[BibT_eX]

[DOI]

Tingshao Zhu

Bin Hu

Proceedings of the Experimental Design for Real-World Systems, 2009

2008

Clustering high dimensional data: A graph-based relaxed optimization approach.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Heterogeneous Stacking for Classification-Driven Watershed Segmentation.

[BibT_eX]

[DOI]

Ilya Levner

Hong Zhang

EURASIP J. Adv. Signal Process., 2008

Improving subcellular localization prediction using text classification and the gene ontology.

[BibT_eX]

[DOI]

Bioinform., 2008

Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference.

[BibT_eX]

[DOI]

Artif. Intell., 2008

Imputed Neighborhood Based Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction.

[BibT_eX]

[DOI]

Proceedings of the UAI 2008, 2008

Imputation-boosted collaborative filtering using machine learning classifiers.

[BibT_eX]

[DOI]

Xingquan Zhu

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Segmenting Brain Tumors Using Pseudo-Conditional Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Fast Way to Produce Optimal Fixed-Depth Decision Trees.

[BibT_eX]

[DOI]

Alireza Farhangfar

Martin Zinkevich

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Using Imputation Techniques to Help Learn Accurate Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Does Wikipedia Information Help Netflix Predictions?

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Supervised image segmentation via ground truth decomposition.

[BibT_eX]

[DOI]

Ilya Levner

Hong Zhang

Proceedings of the International Conference on Image Processing, 2008

A Mixture Imputation-Boosted Collaborative Filter.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

A Cover-Based Approach to Multi-Agent Moving Target Pursuit.

[BibT_eX]

[DOI]

Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

Constrained Classification on Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

HMDB: the Human Metabolome Database.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2007

Focus of Attention in Reinforcement Learning.

[BibT_eX]

[DOI]

Lihong Li

Vadim Bulitko

J. Univers. Comput. Sci., 2007

Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts.

[BibT_eX]

[DOI]

Xingquan Zhu

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Session Introduction.

[BibT_eX]

[DOI]

David S. Wishart

Proceedings of the Biocomputing 2007, 2007

Optimistic Active-Learning Using Mutual Information.

[BibT_eX]

[DOI]

Yuhong Guo

Proceedings of the IJCAI 2007, 2007

Mind Change Optimal Learning of Bayes Net Structure.

[BibT_eX]

[DOI]

Oliver Schulte

Wei Luo

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

The Path-A metabolic pathway prediction web server.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2006

Learning a Classification-based Glioma Growth Model Using MRI Data.

[BibT_eX]

[DOI]

J. Comput., 2006

Finding optimal satisficing strategies for and-or trees.

[BibT_eX]

[DOI]

Artif. Intell., 2006

Efficient Spatial Classification Using Decoupled Conditional Random Fields.

[BibT_eX]

[DOI]

Chi-Hoon Lee

Osmar R. Zaïane

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Information Marginalization on Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Automatic construction of personalized customer interfaces.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006

Learning Policies for Efficiently Identifying Objects of Many Classes.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Using query-specific variance estimates to combine Bayesian classifiers.

[BibT_eX]

[DOI]

Chi-Hoon Lee

Shaojun Wang

Proceedings of the Machine Learning, 2006

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Learning to Identify Facial Expression During Detection Using Markov Decision Process.

[BibT_eX]

[DOI]

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Learning to Detect Objects of Many Classes Using Binary Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2006

A Classification-Based Glioma Diffusion Model Using MRI Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Visual Explanation of Evidence with Additive Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2005

BASys: a web server for automated bacterial genome annotation.

[BibT_eX]

[DOI]

Gary H. Van Domselaar

Nucleic Acids Res., 2005

Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.

[BibT_eX]

[DOI]

Mach. Learn., 2005

Off-line Evaluation of Recommendation Functions.

[BibT_eX]

[DOI]

Proceedings of the User Modeling 2005, 2005

Support Vector Random Fields for Spatial Classification.

[BibT_eX]

[DOI]

Chi-Hoon Lee

Mark Schmidt

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Using Learned Browsing Behavior Models to Recommend Relevant Web Pages.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning Coordination Classifiers.

[BibT_eX]

[DOI]

Yuhong Guo

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Segmenting brain tumors using alignment-based features.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Learning and Classifying Under Hard Budgets.

[BibT_eX]

[DOI]

Aloak Kapoor

Proceedings of the Machine Learning: ECML 2005, 2005

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision for Biomedical Image Applications, 2005

Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology.

[BibT_eX]

Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression.

[BibT_eX]

[DOI]

Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

Goal-Directed Site-Independent Recommendations from Passive Observations.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

The Proteome Analyst Suite of Automated Function Prediction Tools.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2005

Discriminative Model Selection for Belief Net Structures.

[BibT_eX]

[DOI]

Yuhong Guo

Proceedings of the Proceedings, 2005

2004

Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.

[BibT_eX]

[DOI]

Nucleic Acids Res., 2004

Predicting subcellular localization of proteins using machine-learned classifiers.

[BibT_eX]

[DOI]

Bioinform., 2004

Active Model Selection.

[BibT_eX]

[DOI]

Omid Madani

Proceedings of the UAI '04, 2004

Batch Reinforcement Learning with State Importance.

[BibT_eX]

[DOI]

Lihong Li

Vadim Bulitko

Proceedings of the Machine Learning: ECML 2004, 2004

The Budgeted Multi-armed Bandit Problem.

[BibT_eX]

[DOI]

Omid Madani

Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003

An Effective Complete-Web Recommender System.

[BibT_eX]

[DOI]

Tingshao Zhu

Gerald Häubl

Proceedings of the Twelfth International World Wide Web Conference, 2003

Learning a Model of a Web User's Interests.

[BibT_eX]

[DOI]

Tingshao Zhu

Gerald Häubl

Proceedings of the User Modeling 2003, 2003

Budgeted Learning of Naive-Bayes Classifiers.

[BibT_eX]

[DOI]

Omid Madani

Proceedings of the UAI '03, 2003

Predicting Web Information Content.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003

Use of Off-line Dynamic Programming for Efficient Image Interpretation.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Lookahead Pathologies for Single Agent Search.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Discriminative Parameter Learning of General Bayesian Network Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Towards Automated Creation of Image Interpretation Systems.

[BibT_eX]

[DOI]

Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002

Learning cost-sensitive active classifiers.

[BibT_eX]

[DOI]

Dan Roth

Artif. Intell., 2002

Learning Bayesian networks from data: An information-theory based approach.

[BibT_eX]

[DOI]

Artif. Intell., 2002

Performance of Lookahead Control Policies in the Face of Abstractions and Approximations.

[BibT_eX]

[DOI]

Proceedings of the Abstraction, 2002

Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.

[BibT_eX]

[DOI]

Wei Zhou

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

Optimal Depth-First Strategies for And-Or Trees.

[BibT_eX]

[DOI]

Ryan Hayward

Michael Molloy

Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001

Efficient reasoning.

[BibT_eX]

[DOI]

Christian Darken

N. Iwan Santoso

ACM Comput. Surv., 2001

Bayesian Error-Bars for Belief Net Inference.

[BibT_eX]

[DOI]

Tim Van Allen

Peter Hooper

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

Efficient Interpretation Policies.

[BibT_eX]

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

Efficient Car Recognition Policies.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Learning Bayesian Belief Network Classifiers: Algorithms and System.

[BibT_eX]

[DOI]

Jie Cheng

Proceedings of the Advances in Artificial Intelligence, 2001

2000

Model Selection Criteria for Learning Belief Nets: An Empirical Comparison.

[BibT_eX]

Tim Van Allen

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Predicting UNIX Command Lines: Adjusting to User Patterns.

[BibT_eX]

[DOI]

Benjamin Korvemaker

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999

The Complexity of Revising Logic Programs.

[BibT_eX]

[DOI]

J. Log. Program., 1999

Comparing Bayesian Network Classifiers.

[BibT_eX]

[DOI]

Jie Cheng

Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

1997

The Relevance of Relevance (Editorial).

[BibT_eX]

[DOI]

Devika Subramanian

Judea Pearl

Artif. Intell., 1997

Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data.

[BibT_eX]

[DOI]

Alexander Kogan

Artif. Intell., 1997

Learning Bayesian Nets that Perform Well.

[BibT_eX]

[DOI]

Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

Why Experimentation can be better than "Perfect Guidance".

[BibT_eX]

Tobias Scheffer

Christian Darken

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996

Learning to select useful landmarks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1996

Probably Approximately Optimal Satisficing Strategies.

[BibT_eX]

[DOI]

Pekka Orponen

Artif. Intell., 1996

PALO: A Probabilistic Hill-Climbing Algorithm.

[BibT_eX]

[DOI]

Artif. Intell., 1996

Learning Active Classifiers.

[BibT_eX]

Dan Roth

Proceedings of the Machine Learning, 1996

Exploiting the Omission of Irrelevant Data.

[BibT_eX]

Alexander Kogan

Proceedings of the Machine Learning, 1996

1995

Practical PAC Learning.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

The Complexity of Theory Revision.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

The Challenge of Revising an Impure Theory.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 1995

Sequential PAC Learning.

[BibT_eX]

[DOI]

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1993

D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project.

[BibT_eX]

[DOI]

Charles Elkan

Artif. Intell., 1993

1992

Learning Efficient Query Processing Strategies.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1992

Learning Useful Horn Approximations.

[BibT_eX]

Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992

Learning an Optimally Accurate Representation System.

[BibT_eX]

[DOI]

Proceedings of the Foundation of Knowledge Representation and Reasoning [the book grew out of an ECAI-92 workshop], 1992

A Statistical Approach to Solving the EBL Utility Problem.

[BibT_eX]

[DOI]

Igor Jurisica

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Finding Optimal Derivation Strategies in Redundant Knowledge Bases.

[BibT_eX]

[DOI]

Artif. Intell., 1991

Probably Approximately Optimal Derivation Strategies.

[BibT_eX]

Pekka Orponen

Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991

Measuring and Improving the Effectiveness of Representations.

[BibT_eX]

[DOI]

Charles Elkan

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

On the Sample Complexity of Finding Good Search Strategies.

[BibT_eX]

[DOI]

Pekka Orponen

Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990

1989

A Correction to the Algorithm in Reiter's Theory of Diagnosis.

[BibT_eX]

[DOI]

Barbara A. Smith

Ralph W. Wilkerson

Artif. Intell., 1989

Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL.

[BibT_eX]

[DOI]

J. Likuski

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Towards a Formal Analysis of EBL.

[BibT_eX]

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

A Review of Machine Learning at AAAI-87.

[BibT_eX]

[DOI]

Mach. Learn., 1988

Against the unjustified use of probabilities.

[BibT_eX]

[DOI]

Comput. Intell., 1988

Learning by Understanding Analogies.

[BibT_eX]

[DOI]

Artif. Intell., 1988

Signal abstractions in the machine analysis of radar signals for ice profiling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 1988

1985

Learning by understanding analogies.

[BibT_eX]

[DOI]

PhD thesis, 1985

1983

What's New? A Semantic Definition of Novelty.

[BibT_eX]

[DOI]

Michael R. Genesereth

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1980

A Representation Language Language.

[BibT_eX]

[DOI]