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.
He was elected a Fellow of the AAAI (Association for the Advancement of Artificial Intelligence) in 2007, and was awarded a McCalla Professorship in 2005-06 and a Killam Annual Professorship in 2007. He has published over 300 refereed papers and patents, most in the areas of machine learning and knowledge representation, including 4 that have been awarded Best Paper prizes. The main foci of his current work are (1) bioinformatics and medical informatics; (2) learning and using effective probabilistic models and (3) formal foundations of learnability. AI4Society Funded ProjectsOutputs
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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;
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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 |
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