Russell Greiner

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Discriminant Parameter Learning of Belief Net Classifiers

Wei Zhou, Russell Greiner, 2001 .

Learning Useful Horn Approximations

Dale Schuurmans, Russell Greiner, Dale Schuurmans, 1992, KR.

A general prediction model for the detection of ADHD and Autism using structural and functional MRI

Russell Greiner, Matthew R. G. Brown, Bhaskar Sen, 2018, PloS one.

Exploiting the full potential of Bayesian networks in predictive ecology

Russell Greiner, Pouria Ramazi, Mélodie Kunegel-Lion, 2020, Methods in Ecology and Evolution.

VipBoost: A More Accurate Boosting Algorithm

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2009, FLAIRS Conference.

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

Duane Szafron, David S. Wishart, Russell Greiner, 2004, Nucleic Acids Res..

Learning Browsing Behavior Models to Recommend Relevant Web Pages

Russell Greiner, Tingshao Zhu, Kevin Jewell, 2005 .

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Li Cheng, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Improving subcellular localization prediction using text classification and the gene ontology

Duane Szafron, Russell Greiner, Paul Lu, 2008, Bioinform..

The Path-A metabolic pathway prediction web server

Duane Szafron, Russell Greiner, Paul Lu, 2006, Nucleic Acids Res..

Learning to Detect Objects of Many Classes Using Binary Classifiers

Ahmed M. Elgammal, Russell Greiner, Ramana Isukapalli, 2006, ECCV.

A Representation Language Language

Russell Greiner, Douglas B. Lenat, R. Greiner, 1980, AAAI.

A Statistical Approach to Solving the EBL Utility Problem

Russell Greiner, Igor Jurisica, R. Greiner, 1992, AAAI.

Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning pdf

Russell Greiner, Robert Gniadecki, Sepideh Emam, 2019, ArXiv.

HMDB: the Human Metabolome Database

Ying Zhang, David S. Wishart, Dean Cheng, 2007, Nucleic Acids Res..

Predicting Where a Web User Wants to Go : Workshop on Best Practices and Future Visions for Search User Interfaces

Russell Greiner, Tingshao Zhu, Gerald Häubl, 2003 .

Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2006, ICGI.

Model Selection Criteria for Learning Belief Nets: An Empirical Comparison

Russell Greiner, Tim Van Allen, 2000, ICML.

Learning Bayesian Belief Network Classifiers: Algorithms and System

Russell Greiner, Jie Cheng, R. Greiner, 2001, Canadian Conference on AI.

Perturbed message passing for constraint satisfaction problems

Russell Greiner, Siamak Ravanbakhsh, R. Greiner, 2014, J. Mach. Learn. Res..

Learning Robust Object Recognition Strategies

Russell Greiner, Lihong Li, Ilya Levner, 2003 .

An Effective Complete-Web Recommender System

Russell Greiner, Tingshao Zhu, Gerald Häubl, 2003, WWW.

Learning cost-sensitive active classifiers

Dan Roth, Russell Greiner, Adam J. Grove, 2002, Artif. Intell..

Efficient Learning of Regular Expressions from Approximate Examples

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Against the unjustified use of probabilities

Russell Greiner, R. Greiner, 1988, Comput. Intell..

The Budgeted Multi-armed Bandit Problem

Russell Greiner, Omid Madani, Daniel J. Lizotte, 2004, COLT.

Predicting Web Information Content : Workshop on Intelligent Techniques for Web Personalization (ITWP-2003)

Russell Greiner, Tingshao Zhu, Gerald Häubl, 2003 .

Active Model Selection pdf

Russell Greiner, Omid Madani, Daniel J. Lizotte, 2004, UAI.

The Relevance of Relevance (Editorial)

Russell Greiner, Devika Subramanian, Judea Pearl, 1997, Artif. Intell..

Segmenting Brain Tumors Using Pseudo-Conditional Random Fields

Chi-Hoon Lee, Russell Greiner, Albert Murtha, 2008, MICCAI.

CounterFactual Regression with Importance Sampling Weights

Negar Hassanpour, Russell Greiner, R. Greiner, 2019, IJCAI.

Deep Green: Modelling Time-Series of Software Energy Consumption

Abram Hindle, Russell Greiner, Shaiful Alam Chowdhury, 2017, 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME).

Learning to segment from a few well-selected training images

Russell Greiner, Csaba Szepesvári, Alireza Farhangfar, 2009, ICML '09.

Fast Perceptual Learning of Motion in Humans and Neural Networks

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification

David S. Wishart, Russell Greiner, Claudine Manach, 2019, Journal of Cheminformatics.

Real-time Lookahead Control Policies

Russell Greiner, Ilya Levner, Vadim Bulitko, 2002 .

Computational learning theory and natural learning systems

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Use of Off-line Dynamic Programming for Efficient Image Interpretation

Russell Greiner, Ramana Isukapalli, R. Greiner, 2003, IJCAI.

Improving an Adaptive Image Interpretation System by Leveraging

Russell Greiner, Lihong Li, Ilya Levner, 2008 .

Detecting duplicate bug reports with software engineering domain knowledge

Eleni Stroulia, Abram Hindle, Russell Greiner, 2015, 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER).

Using Rank-One Biclusters to Classify Microarray Data

Russell Greiner, Nasimeh Asgarian, R. Greiner, 2007 .

Learning and Classifying Under Hard Budgets

Russell Greiner, Aloak Kapoor, R. Greiner, 2005, ECML.

Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning

Russell Greiner, Matthew R. G. Brown, Ganesan Venkatasubramanian, 2019, npj Schizophrenia.

The Complexity of Theory Revision

Russell Greiner, 1995, IJCAI.

Supervised Learning Using Labeled and Unlabeled Examples

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Predicting UNIX Command Lines: Adjusting to User Patterns

Russell Greiner, Benjamin Korvemaker, 2000, AAAI/IAAI.

Lookahead Pathologies for Single Agent Search

Vadim Bulitko, Russell Greiner, Lihong Li, 2003, IJCAI.

Detecting duplicate bug reports with software engineering domain knowledge

Eleni Stroulia, Abram Hindle, Russell Greiner, 2015, SANER.

Shared Space Transfer Learning for analyzing multi-site fMRI data pdf

Muhammad Yousefnezhad, Russell Greiner, Daoqiang Zhang, 2020, NeurIPS.

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

Dale Schuurmans, Chi-Hoon Lee, Russell Greiner, 2006, NIPS.

BASys: a web server for automated bacterial genome annotation

Duane Szafron, David S. Wishart, Paul Stothard, 2005, Nucleic Acids Res..

Budgeted learning of nailve-bayes classifiers

Russell Greiner, Omid Madani, Daniel J. Lizotte, 2002, UAI 2002.

Optimistic Active-Learning Using Mutual Information

Russell Greiner, Yuhong Guo, R. Greiner, 2007, IJCAI.

Focus of Attention in Sequential Decision Making

Russell Greiner, Lihong Li, 2004 .

Automatic construction of personalized customer interfaces

Russell Greiner, Gerald Häubl, Robert Price, 2006, IUI '06.

Boolean Matrix Factorization and Completion via Message Passing pdf

Russell Greiner, Siamak Ravanbakhsh, R. Greiner, 2015, ArXiv.

Towards a Formal Analysis of EBL

Russell Greiner, R. Greiner, 1989, ML.

On Learning the Neural Network Architecture: A Case Study

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Finding optimal satisficing strategies for and-or trees

Russell Greiner, Magdalena Jankowska, Michael Molloy, 2006, Artif. Intell..

A review of machine learning at AAAI-87

Russell Greiner, 2004, Machine Learning.

Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

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

Russell Greiner, Yasin Abbasi-Yadkori, Peter Hooper, 2009, UAI.

Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics

David S. Wishart, Russell Greiner, Siamak Ravanbakhsh, 2014, PloS one.

Fully Automated Brain Tumor Segmentation Using Two MRI Modalities

Russell Greiner, Albert Murtha, Bret Hoehn, 2013, ISVC.

What Makes Derivational Analogy Work: An Experience Report Using APU

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

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

Russell Greiner, Aliaksei Kerhet, Wilson Roa, 2009, AIME.

Predicting homologous signaling pathways using machine learning

Duane Szafron, Russell Greiner, Paul Lu, 2009, Bioinform..

Budgeted transcript discovery: A framework for joint exploration and validation studies

Russell Greiner, Sheehan Khan, R. Greiner, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Supervised image segmentation via ground truth decomposition

Russell Greiner, Ilya Levner, Hong Zhang, 2008, 2008 15th IEEE International Conference on Image Processing.

Evaluating an Adaptive Music-Clip Recommender System

Russell Greiner, Tingshao Zhu, 2005 .

Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL

Russell Greiner, J. Likuski, R. Greiner, 1989, IJCAI.

Finding Optimal Derivation Strategies in Redundant Knowledge Bases

Russell Greiner, R. Greiner, 1991, Artif. Intell..

Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning

Russell Greiner, Reihaneh Rabbany, Siamak Ravanbakhsh, 2014, NIPS.

Abstraction-Based Analogical Inference

Russell Greiner, R. Greiner, 1988 .

Learning Disentangled Representations for CounterFactual Regression

Negar Hassanpour, Russell Greiner, R. Greiner, 2020, ICLR.

Efficient reasoning

Russell Greiner, Christian J. Darken, N. I. Santoso, 2001, CSUR.

Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines

Mark W. Schmidt, Chi-Hoon Lee, Russell Greiner, 2005, CVBIA.

Predicting subcellular localization of proteins using machine-learned classifiers

Zhiyong Lu, Duane Szafron, David S. Wishart, 2004, Bioinform..

Does Wikipedia Information Help Netflix Predictions?

Russell Greiner, Bret Hoehn, John D. Lees-Miller, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

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

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2009, Int. J. Inf. Decis. Sci..

Probably Approximately Optimal Satisficing Strategies

Pekka Orponen, Russell Greiner, R. Greiner, 1996, Artif. Intell..

Using Imputation Techniques to Help Learn Accurate Classifiers

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification

Russell Greiner, Chun-Nam Yu, Junfeng Wen, 2014, ICML.

Consistency and Generalization Bounds for Maximum Entropy Density Estimation

Russell Greiner, Shaojun Wang, Shaomin Wang, 2013, Entropy.

Min-Max Problems on Factor Graphs

Brendan J. Frey, Russell Greiner, Siamak Ravanbakhsh, 2014, ICML.

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

Dale Schuurmans, Chi-Hoon Lee, Russell Greiner, 2006, ACL.

A Mixture Imputation-Boosted Collaborative Filter

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2008, FLAIRS.

Training Restricted Boltzmann Machine by Perturbation pdf

Brendan J. Frey, Russell Greiner, Siamak Ravanbakhsh, 2014, ArXiv.

Imputation-boosted collaborative filtering using machine learning classifiers

Taghi M. Khoshgoftaar, Xiaoyuan Su, Russell Greiner, 2008, SAC '08.

EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2013, Comput. Intell..

An automatic brain tumor segmentation tool

Russell Greiner, Albert Murtha, Bret Hoehn, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Scaling to Domains with Irrelevant Features

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

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

Russell Greiner, Ralph W. Wilkerson, Barbara A. Smith, 1989, Artif. Intell..

Adaptive Image Interpretation : A Spectrum Of Machine Learning Problems

Russell Greiner, Lihong Li, Greg Lee, 2003 .

A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits

Negar Hassanpour, Russell Greiner, R. Greiner, 2018, Canadian Conference on AI.

Learning Policies for Efficiently Identifying Objects of Many Classes

Ahmed M. Elgammal, Russell Greiner, Ramana Isukapalli, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Analyzing the effects of test driven development in GitHub

Eleni Stroulia, Abram Hindle, Russell Greiner, 2018, ICSE.

Effective Ways to Build and Evaluate Individual Survival Distributions

Russell Greiner, Bret Hoehn, Sarah Davis, 2018, J. Mach. Learn. Res..

Competitive Fragmentation Modeling of ESI-MS/MS spectra for metabolite identification pdf

David S. Wishart, Russell Greiner, Felicity Allen, 2013, ArXiv.

Heterogeneous Stacking for Classification-Driven Watershed Segmentation

Russell Greiner, Ilya Levner, Hong Zhang, 2008, EURASIP J. Adv. Signal Process..

Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Learning an Optimally Accurate Representation System

Dale Schuurmans, Russell Greiner, Dale Schuurmans, 1992, ECAI Workshop on Knowledge Representation and Reasoning.

Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD

Russell Greiner, Matthew R. G. Brown, Nasimeh Asgarian, 2012, Front. Syst. Neurosci..

Information Marginalization on Subgraphs

Dale Schuurmans, Russell Greiner, Tingshao Zhu, 2006, PKDD.

Visual Explanation of Evidence with Additive Classifiers

Duane Szafron, David S. Wishart, Russell Greiner, 2006, AAAI.

Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields

Dale Schuurmans, Russell Greiner, Shaojun Wang, 2004, 2004 International Symposium on Chinese Spoken Language Processing.

Exploiting the Omission of Irrelevant Data

Alexander Kogan, Russell Greiner, Adam J. Grove, 1996, ICML.

Proteome Analyst: An Overview

Duane Szafron, David S. Wishart, Russell Greiner, 2004 .

Breast cancer prediction using genome wide single nucleotide polymorphism data

Sambasivarao Damaraju, Russell Greiner, Mohsen Hajiloo, 2013, BMC Bioinformatics.

Improving Protein Function Prediction using the Hierarchical Structure of the Gene Ontology

Duane Szafron, Russell Greiner, Paul Lu, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Dynamic Modeling of Chaotic Time Series by Neural Networks

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

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

Russell Greiner, Jörg Sander, Mohsen Hajiloo, 2012, Int. J. Bioinform. Res. Appl..

Making learning systems practical

Russell Greiner, 1997 .

Correction: Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics

David S. Wishart, Russell Greiner, Siamak Ravanbakhsh, 2015, PloS one.

A system-call based model of software energy consumption without hardware instrumentation

Abram Hindle, Russell Greiner, Shaiful Alam Chowdhury, 2015, 2015 Sixth International Green and Sustainable Computing Conference (IGSC).

Simultaneous Prediction Intervals for Patient-Specific Survival Curves

Russell Greiner, Samuel Sokota, Khurram Javed, 2019, IJCAI.

Using query-specific variance estimates to combine Bayesian classifiers

Chi-Hoon Lee, Russell Greiner, Shaojun Wang, 2006, ICML '06.

RLL-1: A Representation Language Language. Supplement. Details of RLL-1

Russell Greiner, Douglas B. Lenat, 1980 .

Reinforcement learning for active model selection

Russell Greiner, Aloak Kapoor, 2005, UBDM '05.

Boolean Matrix Factorization and Noisy Completion via Message Passing

Barnabás Póczos, Russell Greiner, Siamak Ravanbakhsh, 2015, ICML.

Analyzing test driven development based on GitHub evidence

Eleni Stroulia, Abram Hindle, Russell Greiner, 2016 .

Learning to Select Useful Landmarks

Russell Greiner, Ramana Isukapalli, R. Greiner, 1994, AAAI.

Probabilistic Self-structuring and Learning

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Probabilistic

Dale Schuurmans, Russell Greiner, William W. Cohen, 2019, 99 Variations on a Proof.

What's New? A Semantic Definition of Novelty

Russell Greiner, Michael R. Genesereth, 1983, IJCAI.

Segmenting brain tumors using alignment-based features

Mark W. Schmidt, Russell Greiner, Ilya Levner, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Correcting Covariate Shift with the Frank-Wolfe Algorithm

Dale Schuurmans, Russell Greiner, Junfeng Wen, 2015, IJCAI.

Efficient car recognition policies

Russell Greiner, Ramana Isukapalli, 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

N-Learners Problem: System of PAC Learners

Russell Greiner, Stephen José Hanson, Thomas Petsche, 1997 .

Domain-shift adaptation via linear transformations pdf

Russell Greiner, Roberto Vega, R. Greiner, 2022, ArXiv.

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting pdf

Russell Greiner, Roberto Vega, Leonardo Flores, 2021, Forecasting.

Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels pdf

Zichen Zhang, Russell Greiner, Roberto Vega, 2021, AISTATS.

A deep generative model enables automated structure elucidation of novel psychoactive substances

David S. Wishart, Russell Greiner, Leonard J. Foster, 2021, Nat. Mach. Intell..

Variational Auto-Encoder Architectures that Excel at Causal Inference pdf

Negar Hassanpour, Russell Greiner, R. Greiner, 2021, ArXiv.

The challenge of predicting blood glucose concentration changes in patients with type I diabetes

Russell Greiner, Neil C. Borle, Edmond A. Ryan, 2021, Health Informatics J..

Accuracy of automated classification of major depressive disorder as a function of symptom severity

Russell Greiner, Matthew R. G. Brown, Bradley Goodyear, 2016, NeuroImage: Clinical.

Association of DNA Repair and Steroid Metabolism Gene Polymorphisms with Clinical Late Toxicity in Patients Treated with Conformal Radiotherapy for Prostate Cancer

Sambasivarao Damaraju, Russell Greiner, John Hanson, 2006, Clinical Cancer Research.

CFM-ID Applied to CASMI 2014

David S. Wishart, Russell Greiner, Felicity Allen, 2017 .

A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis

Russell Greiner, Bret Hoehn, R. Greiner, 2018, PloS one.

ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements

Russell Greiner, Matthew R. G. Brown, Serdar M. Dursun, 2012, Front. Syst. Neurosci..

PA-GOSUB : A Searchable Database of Model Organism Protein Sequences With Their Predicted GO Molecular Function and Subcellular Localization

Duane Szafron, David S. Wishart, Russell Greiner, 2004 .

Weighted Gaussian Process for Estimating Treatment Effect

Negar Hassanpour, Russell Greiner, Junfeng Wen, 2016 .

Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach.

Sambasivarao Damaraju, Russell Greiner, Roman Eisner, 2012, The Journal of nutrition.

Learning to predict cancer-associated skeletal muscle wasting from 1H-NMR profiles of urinary metabolites

David S. Wishart, Sambasivarao Damaraju, Russell Greiner, 2011, Metabolomics.

The IMAP Hybrid Method for Learning

Russell Greiner, Oliver Schulte, Hassan Khosravi, 2010 .

Using Value of Information to Learn and Classify under Hard Budgets

Russell Greiner, .

Convergence and divergence of neurocognitive patterns in schizophrenia and depression

Russell Greiner, Wei Deng, Matthew R. G. Brown, 2017, Schizophrenia Research.

Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy

Russell Greiner, Matthew R. G. Brown, Sina Ghiassian, 2013 .

Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility

Sambasivarao Damaraju, Russell Greiner, John R. Mackey, 2011, Human Genetics.

The Organism

Duane Szafron, David S. Wishart, Russell Greiner, 2013, Neuropsychology Review.

Exploiting the Absence of Irrelevant Information: What You Don't Know Can Help You

Russell Greiner, R. Bharat Rao, R. B. Rao, 1994 .

Proteome Analyst - Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors

Zhiyong Lu, Duane Szafron, David S. Wishart, 2003 .

Effects of Sample Size on Differential Gene Expression, Rank Order and Prediction Accuracy of a Gene Signature

Sambasivarao Damaraju, Russell Greiner, Sheehan Khan, 2013, PloS one.

COMPUTATIONAL APPROACHES TO METABOLOMICS: AN INTRODUCTION

David S. Wishart, Russell Greiner, 2006 .