Profile
Keywords: machine learning, medical informatics, survival prediction, bioinformatics, probabilistic graphical models
After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science and the founding Scientific Director of the Alberta Machine Intelligence Institute (Amii), which won the ASTech Award for "Outstanding Leadership in Technology" in 2006. He has been Program Chair for the 2004 "Int'l Conf. on Machine Learning", Conference Chair for 2006 "Int'l Conf. on Machine Learning", Editor-in-Chief for "Computational Intelligence", and is serving on the editorial boards of a number of other journals. He is also an Adjunct Professor in the Department of Psychiatry (in the Faculty of Medicine and Dentistry, University of Alberta), and a coDirector of the Computational Psychiatry Group.
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Category
Date
Authors
Projects
Improving subcellular localization prediction using text classification and the gene ontology University of Alberta Publication 2008-08-01 Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations University of Alberta Publication 2004-07-01 D. Szafron, P. Lu,
Russell Greiner , D. S. Wishart, B. Poulin, R. Eisner, Z. Lu, J. Anvik, C. Macdonell,
Alona Fyshe , D. Meeuwis
Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning University of Alberta Publication 2019-01-01 Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features University of Alberta Publication 2017-11-01 Sugai Liang, Roberto Vega, Xiangzhen Kong, Wei Deng, Qiang Wang, Xiaohong Ma, Mingli Li, Xun Hu,
Andy Greenshaw ,
Russell Greiner , Tao Li
Convergence and divergence of neurocognitive patterns in schizophrenia and depression University of Alberta Publication 2018-02-01 Sugai Liang, Matthew R.G. Brown, Wei Deng, Qiang Wang, Xiaohong Ma, Mingli Li, Xun Hu, Michal Juhas, Xinmin Li,
Russell Greiner ,
Andy Greenshaw , Tao Li
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms University of Alberta Publication 2017-05-01 Accuracy of automated classification of major depressive disorder as a function of symptom severity University of Alberta Publication 2016-02-01 ADHD -200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements University of Alberta Publication 2012-01-01 Learning to segment from a few well-selected training images University of Alberta Publication 2009-01-01 Learning when to stop thinking and do something! University of Alberta Publication 2009-01-01 EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS University of Alberta Publication 2012-07-01 An experimental methodology for response surface optimization methods University of Alberta Publication 2011-06-01 Analyzing the effects of test driven development in GitHub University of Alberta Publication 2017-11-01 Detecting duplicate bug reports with software engineering domain knowledge University of Alberta Publication 2016-10-01 Improved A1C Levels in Type 1 Diabetes with Smartphone App Use University of Alberta Publication 2017-02-01 Automatic construction of personalized customer interfaces University of Alberta Publication 2006-01-01 Combining gene expression and interaction network data to improve kidney lesion score prediction University of Alberta Publication 2012-01-01 A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status University of Alberta Publication 2013-12-01 Breast cancer prediction using genome wide single nucleotide polymorphism data University of Alberta Publication 2013-01-01 ETHNOPRED : a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction University of Alberta Publication 2013-01-01 Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility University of Alberta Publication 2011-03-01 Learning to predict relapse in invasive ductal carcinomas based on the subcellular localization of junctional proteins University of Alberta Publication 2009-09-01 A robust convergence index filter for breast cancer cell segmentation University of Alberta Publication 2014-10-01 PROSPeCT : A Predictive Research Online System for Prostate Cancer Tasks University of Alberta Publication 2019-11-01 Maria Cutumisu , Catalina Vasquez, Maxwell Uhlich, Perrin H. Beatty, Homeira Hamayeli-Mehrabani, Rume Djebah, Albert Murtha,
Russell Greiner , John D. Lewis
Clustering high dimensional data: A graph-based relaxed optimization approach University of Alberta Publication 2008-12-01 HMDB : the Human Metabolome Database University of Alberta Publication 2007-01-01 D. S. Wishart, D. Tzur, C. Knox, R. Eisner, A. C. Guo, N. Young, D. Cheng, K. Jewell, D. Arndt, S. Sawhney, C. Fung, L. Nikolai, M. Lewis, M.-A. Coutouly, I. Forsythe, P. Tang, S. Shrivastava, K. Jeroncic,
Paul Stothard , G. Amegbey, D. Block, David. D. Hau, J. Wagner, J. Miniaci, M. Clements, M. Gebremedhin, N. Guo,
Yifan Zhang , G. E. Duggan, G. D. MacInnis, A. M. Weljie, R. Dowlatabadi, F. Bamforth, D. Clive,
Russell Greiner , L. Li, T. Marrie, B. D. Sykes, H. J. Vogel, L. Querengesser
BASys : a web server for automated bacterial genome annotation University of Alberta Publication 2005-07-01 Learning to predict ice accretion on electric power lines University of Alberta Publication 2012-04-01 Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines University of Alberta Publication 2018-10-01 BioTransformer : a comprehensive computational tool for small molecule metabolism prediction and metabolite identification University of Alberta Publication 2019-01-01 Yannick Djoumbou-Feunang, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente,
Russell Greiner , Claudine Manach, David S. Wishart
Gene expression based survival prediction for cancer patients\textemdash A topic modeling approach University of Alberta Publication 2019-11-01 Predicting the long-term outcomes of biologics in patients with psoriasis using machine learning University of Alberta Publication 2020-01-01 S. Emam, A.X. Du, P. Surmanowicz, S.F. Thomsen,
Russell Greiner , R. Gniadecki
Correction to: Evaluation of machine learning methods for predicting eradication of aquatic invasive species University of Alberta Publication 2018-04-01 Evaluation of machine learning methods for predicting eradication of aquatic invasive species University of Alberta Publication 2018-03-01 CypReact : A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes University of Alberta Publication 2018-05-01 A general prediction model for the detection of ADHD and Autism using structural and functional MRI University of Alberta Publication 2018-04-01 A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis University of Alberta Publication 2018-03-01 Axel Andres, Aldo Montano-Loza,
Russell Greiner , Max Uhlich, Ping Jin, Bret Hoehn, David Bigam, James Andrew Mark Shapiro, Norman Mark Kneteman
Differentially expressed alternatively spliced genes in skeletal muscle from cancer patients with cachexia University of Alberta Publication 2017-10-01 Finding Effective Ways to (Machine) Learn fMRI -Based Classifiers from Multi-site Data University of Alberta Publication 2018-01-01 A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits University of Alberta Publication 2018-01-01 Cluster Identification via Persistent Homology and Other Clustering Techniques, with Application to Liver Transplant Data University of Alberta Publication 2018-01-01 Berhanu A. Wubie, Axel Andres,
Russell Greiner , Bret Hoehn, Aldo Montano-Loza, Norman Kneteman, Giseon Heo
Deep Green: Modelling Time-Series of Software Energy Consumption University of Alberta Publication 2017-09-01 Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia University of Alberta Publication 2017-01-01 Learning discriminative functional network features of schizophrenia University of Alberta Publication 2017-03-01 A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer University of Alberta Publication 2017-11-01 Fatemeh Seyednasrollah, Devin C. Koestler, Tao Wang, Stephen R. Piccolo, Roberto Vega,
Russell Greiner , Christiane Fuchs, Eyal Gofer, Luke Kumar, Russell D. Wolfinger, Kimberly Kanigel Winner, Chris Bare, Elias Chaibub Neto, Thomas Yu, Liji Shen, Kald Abdallah, Thea Norman, Gustavo Stolovitzky, Howard R. Soule, Christopher J. Sweeney, Charles J. Ryan, Howard I. Scher, Oliver Sartor, Laura L. Elo, Fang Liz Zhou, Justin Guinney, James C. Costello and
Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism University of Alberta Publication 2016-12-01 ClassyFire : automated chemical classification with a comprehensive, computable taxonomy University of Alberta Publication 2016-11-01 Yannick Djoumbou Feunang, Roman Eisner, Craig Knox, Leonid Chepelev, Janna Hastings, Gareth Owen, Eoin Fahy, Christoph Steinbeck, Shankar Subramanian, Evan Bolton,
Russell Greiner , David S. Wishart
Computational Prediction of Electron Ionization Mass Spectra to Assist in GC /MS Compound Identification University of Alberta Publication 2016-07-01 A system-call based model of software energy consumption without hardware instrumentation University of Alberta Publication 2015-12-01 Shaiful Alam Chowdhury, Luke N Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal,
Abram Hindle ,
Russell Greiner Correction: Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics University of Alberta Publication 2015-07-01 Siamak Ravanbakhsh, Philip Liu, Trent C. Bjorndahl, Rupasri Mandal, Jason R. Grant, Michael Wilson, Roman Eisner, Igor Sinelnikov, Xiaoyu Hu, Claudio Luchinat,
Russell Greiner , David S. Wishart
Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics University of Alberta Publication 2015-05-01 Siamak Ravanbakhsh, Philip Liu, Trent C. Bjordahl, Rupasri Mandal, Jason R. Grant, Michael Wilson, Roman Eisner, Igor Sinelnikov, Xiaoyu Hu, Claudio Luchinat,
Russell Greiner , David S. Wishart
Detecting duplicate bug reports with software engineering domain knowledge University of Alberta Publication 2015-03-01 CFM -ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra University of Alberta Publication 2014-06-01 Felicity Allen, Allison Pon, Michael Wilson,
Russell Greiner , David Wishart
Budgeted Learning for Developing Personalized Treatment University of Alberta Publication 2014-12-01 Budgeted transcript discovery: A framework for joint exploration and validation studies University of Alberta Publication 2014-11-01 Competitive fragmentation modeling of ESI -MS/MS spectra for putative metabolite identification University of Alberta Publication 2014-06-01 Native Language Identification using probabilistic graphical models University of Alberta Publication 2014-02-01 A Machine-Learned Predictor of Colonic Polyps Based on Urinary Metabolomics University of Alberta Publication 2013-01-01 Fully Automated Brain Tumor Segmentation Using Two MRI Modalities University of Alberta Publication 2013-01-01 An automatic brain tumor segmentation tool University of Alberta Publication 2013-07-01 The COMBREX Project: Design, Methodology, and Initial Results University of Alberta Publication 2013-08-01 Brian P. Anton, Yi-Chien Chang, Peter Brown, Han-Pil Choi, Lina L. Faller, Jyotsna Guleria, Zhenjun Hu, Niels Klitgord, Ami Levy-Moonshine, Almaz Maksad, Varun Mazumdar, Mark McGettrick, Lais Osmani, Revonda Pokrzywa, John Rachlin, Rajeswari Swaminathan, Benjamin Allen, Genevieve Housman, Caitlin Monahan, Krista Rochussen, Kevin Tao, Ashok S. Bhagwat, Steven E. Brenner, Linda Columbus, Valé rie de Crécy-Lagard, Donald Ferguson, Alexey Fomenkov, Giovanni Gadda, Richard D. Morgan, Andrei L. Osterman, Dmitry A. Rodionov, Irina A. Rodionova, Kenneth E. Rudd, Dieter Söll, James Spain, Shuang-yong Xu, Alex Bateman, Robert M. Blumenthal, J. Martin Bollinger, Woo-Suk Chang, Manuel Ferrer, Iddo Friedberg, Michael Y. Galperin, Julien Gobeill, Daniel Haft, John Hunt, Peter Karp, William Klimke, Carsten Krebs, Dana Macelis, Ramana Madupu, Maria J. Martin, Jeffrey H. Miller, Claire O\textquotesingleDonovan, Bernhard Palsson, Patrick Ruch, Aaron Setterdahl, Granger Sutton, John Tate, Alexander Yakunin, Dmitri Tchigvintsev, Germán Plata, Jie Hu,
Russell Greiner , David Horn, Kimmen Sjölander, Steven L. Salzberg, Dennis Vitkup, Stanley Letovsky, Daniel Segrè, Charles DeLisi, Richard J. Roberts, Martin Steffen, Simon Kasif
Effects of Sample Size on Differential Gene Expression, Rank Order and Prediction Accuracy of a Gene Signature University of Alberta Publication 2013-06-01 Cynthia Stretch, Sheehan Khan, Nasimeh Asgarian, Roman Eisner, Saman Vaisipour,
Sambasivarao Damaraju , Kathryn Graham, Oliver F. Bathe, Helen Steed,
Russell Greiner , Vickie E. Baracos
Determination of the optimal tubulin isotype target as a method for the development of individualized cancer chemotherapy University of Alberta Publication 2013-01-01 Finding Discriminatory Genes: A Methodology for Validating Microarray Studies University of Alberta Publication 2013-12-01 Consistency and Generalization Bounds for Maximum Entropy Density Estimation University of Alberta Publication 2013-12-01 HMDB 3.0\textemdashThe Human Metabolome Database in 2013 University of Alberta Publication 2012-11-01 David S. Wishart, Timothy Jewison, An Chi Guo, Michael Wilson, Craig Knox, Yifeng Liu, Yannick Djoumbou, Rupasri Mandal, Farid Aziat, Edison Dong, Souhaila Bouatra, Igor Sinelnikov, David Arndt, Jianguo Xia, Philip Liu, Faizath Yallou, Trent Bjorndahl, Rolando Perez-Pineiro, Roman Eisner, Felicity Allen, Vanessa Neveu,
Russell Greiner , Augustin Scalbert
Kernel Principal Component Analysis for dimensionality reduction in fMRI -based diagnosis of ADHD University of Alberta Publication 2012-01-01 Quick detection of brain tumors and edemas: A bounding box method using symmetry University of Alberta Publication 2012-03-01 Prediction of Skeletal Muscle and Fat Mass in Patients with Advanced Cancer Using a Metabolomic Approach University of Alberta Publication 2011-12-01 Cynthia Stretch, Thomas Eastman, Rupasri Mandal, Roman Eisner, David S. Wishart, Marina Mourtzakis, Carla M. M. Prado,
Sambasivarao Damaraju , Ronald O. Ball,
Russell Greiner , Vickie E. Baracos
A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation University of Alberta Publication 2011-08-01 The Human Serum Metabolome University of Alberta Publication 2011-02-01 Nikolaos Psychogios, David D. Hau, Jun Peng, An Chi Guo, Rupasri Mandal, Souhaila Bouatra, Igor Sinelnikov, Ramanarayan Krishnamurthy, Roman Eisner, Bijaya Gautam, Nelson Young, Jianguo Xia, Craig Knox, Edison Dong, Paul Huang, Zsuzsanna Hollander, Theresa L. Pedersen, Steven R. Smith, Fiona Bamforth,
Russell Greiner , Bruce McManus, John W. Newman, Theodore Goodfriend, David S. Wishart
Learning to predict cancer-associated skeletal muscle wasting from 1H-NMR profiles of urinary metabolites University of Alberta Publication 2010-08-01 The IMAP Hybrid Method for Learning Gaussian Bayes Nets University of Alberta Publication 2010-01-01 Mind change optimal learning of Bayes net structure from dependency and independency data University of Alberta Publication 2010-01-01 Application of machine learning methodology for PET -based definition of lung cancer University of Alberta Publication 2010-01-01 A. Kerhet, C. Small, H. Quon, T. Riauka, L. Schrader,
Russell Greiner , D. Yee, A. McEwan, W. Roa
Predicting homologous signaling pathways using machine learning University of Alberta Publication 2009-09-01 Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach University of Alberta Publication 2009-01-01 Aliaksei Kerhet, Cormac Small, Harvey Quon, Terence Riauka,
Russell Greiner , Alexander McEwan, Wilson Roa
A new hybrid method for Bayesian network learning With dependency constraints University of Alberta Publication 2009-03-01 HMDB : a knowledgebase for the human metabolome University of Alberta Publication 2009-01-01 D. S. Wishart, C. Knox, A. C. Guo, R. Eisner, N. Young, B. Gautam, D. D. Hau, N. Psychogios, E. Dong, S. Bouatra, R. Mandal, I. Sinelnikov, J. Xia, L. Jia, J. A. Cruz, E. Lim, C. A. Sobsey, S. Shrivastava, P. Huang, P. Liu, L. Fang, J. Peng, R. Fradette, D. Cheng, D. Tzur, M. Clements, A. Lewis, A. De Souza, A. Zuniga, M. Dawe, Y. Xiong, D. Clive,
Russell Greiner , A. Nazyrova, R. Shaykhutdinov, L. Li, H. J. Vogel, I. Forsythe
Making an accurate classifier ensemble by voting on classifications from imputed learning sets University of Alberta Publication 2009-01-01 Using Imputation Techniques to Help Learn Accurate Classifiers University of Alberta Publication 2008-11-01 Supervised image segmentation via ground truth decomposition University of Alberta Publication 2008-01-01 Imputed Neighborhood Based Collaborative Filtering University of Alberta Publication 2008-12-01 Does Wikipedia Information Help Netflix Predictions? University of Alberta Publication 2008-01-01 Imputation-boosted collaborative filtering using machine learning classifiers University of Alberta Publication 2008-01-01 Segmenting Brain Tumors Using Pseudo\textendash Conditional Random Fields University of Alberta Publication 2008-01-01 Chi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R. G. Brown,
Russell Greiner The human cerebrospinal fluid metabolome University of Alberta Publication 2008-08-01 David S. Wishart, Michael J. Lewis, Joshua A. Morrissey, Mitchel D. Flegel, Kevin Jeroncic, Yeping Xiong, Dean Cheng, Roman Eisner, Bijaya Gautam, Dan Tzur, Summit Sawhney, Fiona Bamforth,
Russell Greiner , Liang Li
Heterogeneous Stacking for Classification-Driven Watershed Segmentation University of Alberta Publication 2008-02-01 Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference University of Alberta Publication 2008-03-01 Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts University of Alberta Publication 2007-11-01 Investigations of the Effects of Gender, Diurnal Variation, and Age in Human Urinary Metabolomic Profiles University of Alberta Publication 2007-09-01 Carolyn M. Slupsky, Kathryn N. Rankin, James Wagner, Hao Fu, David Chang, Aalim M. Weljie, Erik J. Saude, Bruce Lix, Darryl J. Adamko, Sirish Shah,
Russell Greiner , Brian D. Sykes, Thomas J. Marrie
Using query-specific variance estimates to combine Bayesian classifiers University of Alberta Publication 2006-01-01 Learning to Identify Facial Expression During Detection Using Markov Decision Process University of Alberta Publication 2018-01-01 Learning to Detect Objects of Many Classes Using Binary Classifiers University of Alberta Publication 2006-01-01 The Path-A metabolic pathway prediction web server University of Alberta Publication 2006-07-01 Finding optimal satisficing strategies for and-or trees University of Alberta Publication 2006-01-01 Learning a Classification-based Glioma Growth Model Using MRI Data University of Alberta Publication 2006-11-01 A Classification-Based Glioma Diffusion Model Using MRI Data University of Alberta Publication 2006-01-01 Reinforcement learning for active model selection University of Alberta Publication 2005-01-01 Learning and Classifying Under Hard Budgets University of Alberta Publication 2005-01-01 Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression University of Alberta Publication 2005-01-01 Segmenting Brain Tumors using Alignment-Based Features University of Alberta Publication 2018-01-01 Predicting subcellular localization of proteins using machine-learned classifiers University of Alberta Publication 2004-01-01 Z. Lu, D. Szafron,
Russell Greiner , P. Lu, D.S. Wishart, B. Poulin, J. Anvik, C. Macdonell, R. Eisner
Learning cost-sensitive active classifiers\ding73 \ding73This extends the short conference paper [19]. University of Alberta Publication 2002-08-01 Learning Bayesian networks from data: An information-theory based approach University of Alberta Publication 2002-05-01 Efficient car recognition policies University of Alberta Publication 2018-01-01 Efficient reasoning University of Alberta Publication 2001-03-01 The complexity of theory revision University of Alberta Publication 1999-02-01 The complexity of revising logic programs University of Alberta Publication 1999-08-01 The relevance of relevance University of Alberta Publication 1997-12-01 Learning to select useful landmarks University of Alberta Publication 1996-06-01 Building large knowledge-based systems: Representation and inference in the cyc project University of Alberta Publication 1993-05-01 Classical and Logic-Based Dynamic Observers for Finite Automata University of Alberta Publication 1991-01-01 Finding optimal derivation strategies in redundant knowledge bases University of Alberta Publication 1991-06-01 A correction to the algorithm in reiter\textquotesingle s theory of diagnosis University of Alberta Publication 1989-11-01 On the machine analysis of radar signals for ice profiling University of Alberta Publication 1989-12-01 A review of machine learning at AAAI -87 University of Alberta Publication 1988-08-01 Against the unjustified use of probabilities University of Alberta Publication 1988-05-01 Learning by understanding analogies University of Alberta Publication 1988-05-01 Computing Treatments for Type-1 Diabetes Mellitus University of Alberta Publication 2013-01-01 Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields University of Alberta Publication 2013-01-01 Ischemic Stroke Lesion Prediction in CT Perfusion Scans Using Multiple Parallel U-Nets Following by a Pixel-Level Classifier University of Alberta Publication 2019-10-01 Patient Specific Survival Prediction (Invited presentation, at International Conference) University of Alberta Presentation 2015-08-06 Working with Medical Colleagues to Produce Effective Predictor Systems Invited presentation at International Conference;
(https://docs.google.com/document/u/1/d/e/2PACX-1vSbPq3No5-TW6HR5C3uO87n9RkpciBOlVJwb6n4HdTkSuVNaEw0111RsnAhJ-VHAZeeuYurypq7sGIZ/pub#h.t2yo7fn95het)
University of Alberta Presentation 2018-08-17 Health Care Providers' Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study University of Alberta Publication 2020-12-01 Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study University of Alberta Publication 2018-01-01 Bo Cao , Yang S. Liu, Alessandro Selvitella, Diego Librenza-Garcia, Ives Cavalcante Passos, Jeffrey Sawalha, Pedro Ballester, Jianshan Chen, Shimiao Dong, Fei Wang, Flavio Kapczinski,
Serdar Dursun , Xin-Min Li,
Russell Greiner ,
Andy Greenshaw
