Russell Greiner
#24,293
Most Influential Person Now
Researcher ORCID ID = 0000-0001-8327-934X
Russell Greiner's AcademicInfluence.com Rankings
Russell Greinercomputer-science Degrees
Computer Science
#2307
World Rank
#2404
Historical Rank
Data Mining
#116
World Rank
#116
Historical Rank
Artificial Intelligence
#651
World Rank
#662
Historical Rank
Machine Learning
#763
World Rank
#774
Historical Rank
Download Badge
Computer Science
Why Is Russell Greiner Influential?
(Suggest an Edit or Addition)According to Wikipedia, Russell Greiner is a professor of computing science at the University of Alberta. He is a fellow of the Association for the Advancement of Artificial Intelligence and a specialist in machine learning and bioinformatics. Greiner is one of the principal investigators at the Alberta Innovates Centre for Machine Learning and has published over 200 refereed papers and patents.
Russell Greiner's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- HMDB 3.0—The Human Metabolome Database in 2013 (2012) (2627)
- HMDB: the Human Metabolome Database (2007) (2527)
- HMDB: a knowledgebase for the human metabolome (2008) (1722)
- The Human Serum Metabolome (2011) (1374)
- Learning Bayesian networks from data: An information-theory based approach (2002) (791)
- ClassyFire: automated chemical classification with a comprehensive, computable taxonomy (2016) (548)
- Comparing Bayesian Network Classifiers (1999) (463)
- Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles. (2007) (369)
- Predicting subcellular localization of proteins using machine-learned classifiers (2004) (359)
- A Correction to the Algorithm in Reiter's Theory of Diagnosis (1989) (339)
- Learning Bayesian Belief Network Classifiers: Algorithms and System (2001) (326)
- BASys: a web server for automated bacterial genome annotation (2005) (324)
- CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra (2014) (320)
- The human cerebrospinal fluid metabolome. (2008) (302)
- Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification (2013) (298)
- BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification (2019) (212)
- Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics (2014) (207)
- Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers (2002) (206)
- Learning cost-sensitive active classifiers (2002) (194)
- Predictive Models for Breast Cancer Susceptibility from Multiple Single Nucleotide Polymorphisms (2004) (179)
- Optimistic Active-Learning Using Mutual Information (2007) (174)
- Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling (2006) (151)
- HMDB 5.0: the Human Metabolome Database for 2022 (2021) (149)
- Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines (2005) (148)
- ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements (2012) (148)
- Association of DNA Repair and Steroid Metabolism Gene Polymorphisms with Clinical Late Toxicity in Patients Treated with Conformal Radiotherapy for Prostate Cancer (2006) (140)
- The COMBREX Project: Design, Methodology, and Initial Results (2013) (137)
- Learning by Understanding Analogies (1986) (129)
- Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors (2011) (126)
- Visual Explanation of Evidence with Additive Classifiers (2006) (124)
- Quick detection of brain tumors and edemas: A bounding box method using symmetry (2012) (121)
- Computational learning theory and natural learning systems (1997) (117)
- A general prediction model for the detection of ADHD and Autism using structural and functional MRI (2018) (115)
- Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations (2004) (111)
- Segmenting brain tumors using alignment-based features (2005) (110)
- The Organism (2013) (108)
- Segmenting Brain Tumors Using Pseudo-Conditional Random Fields (2008) (108)
- Improving Protein Function Prediction using the Hierarchical Structure of the Gene Ontology (2005) (104)
- Budgeted Learning of Naive-Bayes Classifiers (2012) (101)
- Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification (2014) (95)
- Computational Prediction of Electron Ionization Mass Spectra to Assist in GC/MS Compound Identification. (2016) (89)
- Learning a Model of a Web User's Interests (2003) (86)
- Classical and Logic-Based Dynamic Observers for Finite Automata (1991) (84)
- Efficient reasoning (2001) (84)
- Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism (2016) (82)
- Learning and Classifying Under Hard Budgets (2005) (81)
- Imputation-boosted collaborative filtering using machine learning classifiers (2008) (80)
- A Representation Language Language (1980) (79)
- Active Model Selection (2004) (75)
- Detecting duplicate bug reports with software engineering domain knowledge (2015) (75)
- Learning Disentangled Representations for CounterFactual Regression (2020) (73)
- Budgeted learning of nailve-bayes classifiers (2002) (72)
- Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD (2012) (72)
- Learning Bayesian Nets that Perform Well (1997) (69)
- CounterFactual Regression with Importance Sampling Weights (2019) (68)
- Support Vector Random Fields for Spatial Classification (2005) (68)
- PALO: A Probabilistic Hill-Climbing Algorithm (1996) (67)
- Real World Applications (1997) (67)
- CFM-ID 4.0: More Accurate ESI-MS/MS Spectral Prediction and Compound Identification. (2021) (66)
- A Statistical Approach to Solving the EBL Utility Problem (1992) (61)
- Model Selection Criteria for Learning Belief Nets: An Empirical Comparison (2000) (60)
- Clustering high dimensional data: A graph-based relaxed optimization approach (2008) (60)
- Towards artificial intelligence in mental health by improving schizophrenia prediction with multiple brain parcellation ensemble-learning (2019) (58)
- Learning to predict cancer-associated skeletal muscle wasting from 1H-NMR profiles of urinary metabolites (2011) (56)
- An experimental methodology for response surface optimization methods (2012) (56)
- Predicting UNIX Command Lines: Adjusting to User Patterns (2000) (56)
- Finding optimal satisficing strategies for and-or trees (2006) (55)
- Effective Ways to Build and Evaluate Individual Survival Distributions (2018) (55)
- Small RNAome profiling from human skeletal muscle: novel miRNAs and their targets associated with cancer cachexia (2017) (54)
- Learning to Select Useful Landmarks (1994) (53)
- Effects of Sample Size on Differential Gene Expression, Rank Order and Prediction Accuracy of a Gene Signature (2013) (52)
- Accuracy of automated classification of major depressive disorder as a function of symptom severity (2016) (51)
- The Budgeted Multi-armed Bandit Problem (2004) (51)
- Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts (2007) (47)
- Improved A1C Levels in Type 1 Diabetes with Smartphone App Use. (2017) (46)
- Learning to predict ice accretion on electric power lines (2012) (45)
- Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields (2006) (44)
- Potential novel candidate polymorphisms identified in genome-wide association study for breast cancer susceptibility (2011) (44)
- Improving subcellular localization prediction using text classification and the gene ontology (2008) (43)
- Boolean Matrix Factorization and Noisy Completion via Message Passing (2015) (40)
- CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes (2018) (40)
- Predicting Army Combat Outcomes in StarCraft (2013) (40)
- Finding Optimal Derivation Strategies in Redundant Knowledge Bases (1991) (40)
- Discriminative Model Selection for Belief Net Structures (2005) (39)
- Domain Aggregation Networks for Multi-Source Domain Adaptation (2019) (38)
- Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks (2017) (37)
- Implementing machine learning in medicine (2021) (37)
- Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference (2008) (37)
- Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms (2017) (36)
- Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach. (2012) (35)
- Text4Hope: Receiving Daily Supportive Text Messages for 3 Months During the COVID-19 Pandemic Reduces Stress, Anxiety, and Depression (2021) (35)
- PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization (2004) (34)
- Mental Health Outreach via Supportive Text Messages during the COVID-19 Pandemic: Improved Mental Health and Reduced Suicidal Ideation after Six Weeks in Subscribers of Text4Hope Compared to a Control Population (2021) (34)
- Learning Active Classifiers (1996) (34)
- Discriminative parameter learning of general Bayesian network classifiers (2003) (32)
- Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction (1997) (31)
- RLL-1: A Representation Language Language (1980) (31)
- Learning to classify incomplete examples (1997) (30)
- A Machine-Learned Predictor of Colonic Polyps Based on Urinary Metabolomics (2013) (30)
- Learning Default Concepts (1994) (30)
- The Path-A metabolic pathway prediction web server (2006) (30)
- An Effective Complete-Web Recommender System (2003) (30)
- Mental Health Response to the COVID-19 Pandemic: Effectiveness of a Daily Supportive Text Message (Text4Hope) Program at Six Weeks in Reducing Stress, Anxiety, and Depression in Subscribers. (2020) (29)
- Online Learning with Costly Features and Labels (2013) (29)
- Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study (2020) (28)
- Using Imputation Techniques to Help Learn Accurate Classifiers (2008) (28)
- Hierarchical Probabilistic Relational Models for Collaborative Filtering (2004) (28)
- Lookahead Pathologies for Single Agent Search (2003) (28)
- The Relevance of Relevance (Editorial) (1997) (27)
- Deep Green: Modelling Time-Series of Software Energy Consumption (2017) (27)
- Magnetic Resonance Diagnostics: A New Technology for High-Throughput Clinical Diagnostics (2001) (27)
- Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation (2020) (27)
- Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data (1997) (27)
- A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation (2011) (26)
- Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals (2016) (26)
- A Cover-Based Approach to Multi-Agent Moving Target Pursuit (2008) (25)
- A Mixture Imputation-Boosted Collaborative Filter (2008) (25)
- Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL (1989) (25)
- A novel learning algorithm to predict individual survival after liver transplantation for primary sclerosing cholangitis (2018) (24)
- Breast cancer prediction using genome wide single nucleotide polymorphism data (2013) (24)
- Probabilistic Hill-climbing: Theory and Applications (1992) (24)
- The Complexity of Theory Revision (1995) (24)
- Imputed Neighborhood Based Collaborative Filtering (2008) (23)
- Analyzing the effects of test driven development in GitHub (2018) (23)
- Differentially expressed alternatively spliced genes in skeletal muscle from cancer patients with cachexia (2017) (22)
- Automated Feature Extraction for Object Recognition (2003) (22)
- Learning when to stop thinking and do something! (2009) (22)
- Probably Approximately Optimal Derivation Strategies (1991) (22)
- An automatic brain tumor segmentation tool (2013) (21)
- Bayesian Error-Bars for Belief Net Inference (2001) (21)
- Learning a Classification-based Glioma Growth Model Using MRI Data (2006) (21)
- Correction: Accurate, Fully-Automated NMR Spectral Profiling for Metabolomics (2015) (21)
- Sequential PAC learning (1995) (21)
- Learning to Classify Psychiatric Disorders based on fMR Images : Autism vs Healthy and ADHD vs Healthy (2013) (20)
- Does Wikipedia Information Help Netflix Predictions? (2008) (20)
- A Machine Learned Classifier That Uses Gene Expression Data to Accurately Predict Estrogen Receptor Status (2013) (20)
- Explaining Naive Bayes Classifications (2003) (20)
- Learning Useful Horn Approximations (1992) (20)
- Problems in the deployment of machine-learned models in health care (2021) (19)
- Towards Automated Creation of Image Interpretation Systems (2003) (19)
- Using Symmetry to Detect Abnormalies in Brain MRI (2007) (19)
- Efficient Spatial Classification Using Decoupled Conditional Random Fields (2006) (19)
- Application of machine learning methodology for pet-based definition of lung cancer (2010) (18)
- Stochastic Neural Networks with Monotonic Activation Functions (2016) (18)
- Perturbed message passing for constraint satisfaction problems (2014) (17)
- Focus of Attention in Reinforcement Learning (2007) (17)
- Abstraction-Based Analogical Inference (1988) (17)
- Improving an Adaptive Image Interpretation System by Leveraging (2008) (17)
- Using Classifier-Based Nominal Imputation to Improve Machine Learning (2011) (17)
- Measuring and Improving the Effectiveness of Representations (1991) (17)
- Proteome Analyst - Transparent High-throughput Protein Annotation: Function, Localization and Custom Predictors (2003) (16)
- Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields (2004) (16)
- Automatic construction of personalized customer interfaces (2006) (15)
- Fully Automated Brain Tumor Segmentation Using Two MRI Modalities (2013) (15)
- Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study (2021) (15)
- SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting (2021) (15)
- Learning Language and Acoustic Models for Identifying Alzheimer’s Dementia From Speech (2021) (15)
- Using query-specific variance estimates to combine Bayesian classifiers (2006) (15)
- Probably Approximately Optimal Satisficing Strategies (1996) (15)
- COVID-19: Closing the Psychological Treatment Gap during the Pandemic, a Protocol for Implementation and Evaluation of Text4Hope (a Supportive Text Message Program). (2020) (14)
- What's New? A Semantic Definition of Novelty (1983) (14)
- Using Rank-One Biclusters to Classify Microarray Data (2007) (14)
- A deep generative model enables automated structure elucidation of novel psychoactive substances (2021) (14)
- Learning Coordination Classifiers (2005) (13)
- COVID-19 Pandemic: Gender difference in satisfaction with a daily supportive text message program (Text4Hope) and anticipated receptivity for technology-based health support during emergencies-Cross Sectional Survey. (2021) (13)
- Reinforcement learning for active model selection (2005) (13)
- Making an accurate classifier ensemble by voting on classifications from imputed learning sets (2009) (13)
- D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project (1993) (13)
- Accurate long-range forecasting of COVID-19 mortality in the USA (2021) (13)
- ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction (2013) (13)
- A system-call based model of software energy consumption without hardware instrumentation (2015) (13)
- Determination of the optimal tubulin isotype target as a method for the development of individualized cancer chemotherapy (2013) (13)
- A DREAM Challenge to Build Prediction Models for Short-Term Discontinuation of Docetaxel in Metastatic Castration-Resistant Prostate Cancer (2017) (12)
- Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features (2018) (12)
- Learning to segment from a few well-selected training images (2009) (12)
- Improved Brain Tumor Segmentation via Registration-Based Brain Extraction (2018) (12)
- Mind Change Optimal Learning of Bayes Net Structure (2007) (12)
- A Fast Way to Produce Optimal Fixed-Depth Decision Trees (2008) (11)
- Mixture Models for Learning from Incomplete Data (1997) (11)
- Adaptive Image Interpretation : A Spectrum Of Machine Learning Problems (2003) (11)
- Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19 (2021) (11)
- Predicting homologous signaling pathways using machine learning (2009) (11)
- Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning (2014) (11)
- Probabilistic Hill Climbing (1994) (11)
- A new hybrid method for Bayesian network learning With dependency constraints (2009) (11)
- Convergence and divergence of neurocognitive patterns in schizophrenia and depression (2017) (11)
- Shared Space Transfer Learning for analyzing multi-site fMRI data (2020) (10)
- Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach (2009) (10)
- Efficient Interpretation Policies (2001) (10)
- On the sample complexity of finding good search strategies (1990) (10)
- The IMAP Hybrid Method for Learning Gaussian Bayes Nets (2010) (10)
- Correcting Covariate Shift with the Frank-Wolfe Algorithm (2015) (10)
- Discriminant Parameter Learning of Belief Net Classifiers (2001) (10)
- Towards a Formal Analysis of EBL (1989) (10)
- Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network (2021) (9)
- Revisiting Algebra and Complexity of Inference in Graphical Models (2014) (9)
- Practical PAC Learning (1995) (9)
- Batch Reinforcement Learning with State Importance (2004) (9)
- Optimal depth-first strategies for and-or trees (2002) (8)
- Min-Max Problems on Factor Graphs (2014) (8)
- Information Marginalization on Subgraphs (2006) (8)
- Computational learning theory and natural learning systems: Volume IV: making learning systems practical (1997) (8)
- Using Learned Browsing Behavior Models to Recommend Relevant Web Pages (2005) (8)
- Behavior-based Recommender Systems for Web Content (2004) (8)
- Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests. (2020) (8)
- Ischemic Stroke Lesion Prediction in CT Perfusion Scans Using Multiple Parallel U-Nets Following by a Pixel-Level Classifier (2019) (7)
- An Introduction to Machine Learning Approaches for Biomedical Research (2021) (7)
- Performance of Lookahead Control Policies in the Face of Abstractions and Approximations (2002) (7)
- Consistency and Generalization Bounds for Maximum Entropy Density Estimation (2013) (7)
- CyProduct: A Software Tool for Accurately Predicting the Byproducts of Human Cytochrome P450 Metabolism (2021) (7)
- Budgeted Learning of Bounded Active Classifiers (2005) (7)
- Dataset of COVID-19 outbreak and potential predictive features in the USA (2020) (7)
- Predicting Web Information Content (2003) (7)
- Why Experimentation can be better than "Perfect Guidance" (1997) (7)
- The challenge of predicting blood glucose concentration changes in patients with type I diabetes (2021) (7)
- Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation (2019) (7)
- Exploiting the Omission of Irrelevant Data (1996) (7)
- Exploiting the Absence of Irrelevant Information: What You Don't Know Can Help You (1994) (6)
- Mind change optimal learning of Bayes net structure from dependency and independency data (2010) (6)
- On learning hierarchical classifications (2007) (6)
- Exploiting the full potential of Bayesian networks in predictive ecology (2020) (6)
- Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling (2009) (6)
- Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy (2020) (6)
- The Complexity of Revising Logic Programs (1999) (6)
- Learning to predict relapse in invasive ductal carcinomas based on the subcellular localization of junctional proteins (2010) (6)
- Budgeted Learning for Developing Personalized Treatment (2014) (6)
- Native Language Identification using probabilistic graphical models (2014) (6)
- Evaluation of machine learning methods for predicting eradication of aquatic invasive species (2018) (6)
- Gene expression based survival prediction for cancer patients—A topic modeling approach (2019) (6)
- Combining gene expression and interaction network data to improve kidney lesion score prediction (2012) (5)
- Using survival prediction techniques to learn consumer-specific reservation price distributions (2015) (5)
- Efficient car recognition policies (2001) (5)
- COMPUTATIONAL APPROACHES TO METABOLOMICS: AN INTRODUCTION (2006) (5)
- Predicting insect outbreaks using machine learning: A mountain pine beetle case study (2021) (5)
- Learning by understanding analogies (reasoning) (1985) (5)
- A Generalized Loop Correction Method for Approximate Inference in Graphical Models (2012) (5)
- Prediction of Obsessive-Compulsive Disorder: Importance of neurobiology-aided feature design and cross-diagnosis transfer learning (2021) (5)
- Predicting insect outbreaks using machine learning A mountain pine beetle case study (2021) (5)
- A review of machine learning at AAAI-87 (2004) (5)
- Competitive Fragmentation Modeling of ESI-MS/MS spectra for metabolite identification (2013) (4)
- GlyNet: a multi-task neural network for predicting protein–glycan interactions (2021) (4)
- Learning Macroscopic Brain Connectomes via Group-Sparse Factorization (2019) (4)
- Use of Off-line Dynamic Programming for Efficient Image Interpretation (2003) (4)
- Budgeted Distribution Learning of Belief Net Parameters (2010) (4)
- Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data (2018) (4)
- A Trustable Recommender System for Web Content (2004) (4)
- PA-GOSUB : A Searchable Database of Model Organism Protein Sequences With Their Predicted GO Molecular Function and Subcellular Localization (2004) (4)
- A Classification-Based Glioma Diffusion Model Using MRI Data (2006) (4)
- Off-line Evaluation of Recommendation Functions (2005) (4)
- Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study (2020) (4)
- Detecting Presence of PTSD Using Sentiment Analysis From Text Data (2022) (4)
- CFM-ID 4.0 – a web server for accurate MS-based metabolite identification (2022) (3)
- Learning to identify facial expression during detection using Markov decision process (2006) (3)
- Learning an Optimally Accurate Representation System (1992) (3)
- Learning to Detect Objects of Many Classes Using Binary Classifiers (2006) (3)
- in 2013 (2014) (3)
- Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support: Protocol for an innovative supportive program (2022) (3)
- Predicting escitalopram treatment response from pre-treatment and early response resting state fMRI in a multi-site sample: A CAN-BIND-1 report (2022) (3)
- 552 CYP3A5*3 (rs776746) is associated with docetaxel-specific toxicities during adjuvant breast cancer chemotherapy (2010) (3)
- Training Restricted Boltzmann Machine by Perturbation (2014) (3)
- The IMAP Hybrid Method for Learning (2010) (3)
- Learning Robust Object Recognition Strategies (2003) (3)
- CFM-ID Applied to CASMI 2014 (2017) (3)
- Simultaneous Prediction Intervals for Patient-Specific Survival Curves (2019) (3)
- Cluster Identification via Persistent Homology and Other Clustering Techniques, with Application to Liver Transplant Data (2018) (3)
- Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression (2005) (3)
- Learning models for forecasting hospital resource utilization for COVID-19 patients in Canada (2021) (3)
- Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model (2006) (3)
- A Review of Machine Learning at AAAI-87 (1988) (3)
- Weighted Gaussian Process for Estimating Treatment Effect (2016) (3)
- A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits (2018) (3)
- Goal-Directed Site-Independent Recommendations from Passive Observations (2005) (3)
- Behavior-Based Recommender Systems for Web Content : Workshop on the Next Stage of Recommender Systems Research (Beyond Personalization 2005) (2005) (2)
- Using Value of Information to Learn and Classify under Hard Budgets (2)
- Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives (2020) (2)
- Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction (2008) (2)
- Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels (2021) (2)
- Real-time Lookahead Control Policies (2002) (2)
- 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, Granada, Spain. (2011) (2)
- Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding (2021) (2)
- Heterogeneous Stacking for Classification-Driven Watershed Segmentation (2008) (2)
- RLL-1: A Representation Language Language. Supplement. Details of RLL-1 (1980) (2)
- Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines (2018) (2)
- Initializing Neural Networks Using Decision Trees (1997) (2)
- The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes (2019) (2)
- Supervised image segmentation via ground truth decomposition (2008) (2)
- Learning Policies for Efficiently Identifying Objects of Many Classes (2006) (2)
- Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients (2022) (2)
- Variational Auto-Encoder Architectures that Excel at Causal Inference (2021) (2)
- Finding Discriminatory Genes: A Methodology for Validating Microarray Studies (2013) (2)
- Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification (2014) (2)
- Individualized Prospective Prediction of Opioid Use Disorder (2022) (2)
- An E–Mental Health Solution to Prevent and Manage Posttraumatic Stress Injuries Among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text Messaging Services (Text4PTSI and Text4Wellbeing) (2021) (2)
- Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces (2021) (2)
- Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study (2021) (2)
- BioTransformer 3.0—a web server for accurately predicting metabolic transformation products (2022) (2)
- ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets (2022) (2)
- Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning (2019) (2)
- A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound (2021) (2)
- Closing the Psychological Treatment Gap During the COVID-19 Pandemic With a Supportive Text Messaging Program: Protocol for Implementation and Evaluation (Preprint) (2020) (1)
- Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects (2022) (1)
- PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks. (2019) (1)
- The Trials and Tribulations of Building an Adaptive User Interface (1999) (1)
- Gender Differences in Satisfaction With a Text Messaging Program (Text4Hope) and Anticipated Receptivity to Technology-Based Health Support During the COVID-19 Pandemic: Cross-sectional Survey Study (Preprint) (2020) (1)
- CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS (2022) (1)
- N-Learners Problem: System of PAC Learners (1997) (1)
- The Challenge of Revising an Impure Theory (1995) (1)
- A robust convergence index filter for breast cancer cell segmentation (2014) (1)
- Predicting Web Information Content : Workshop on Intelligent Techniques for Web Personalization (ITWP-2003) (2003) (1)
- M. cerebralis establishment and spread: A graphical synthesis (2021) (1)
- 4941Machine learning based automated diagnosis of ischemic vs non-ischemic dilated cardiomyopathy using 3D myocardial deformation analysis (2019) (1)
- Making learning systems practical (1997) (1)
- Constrained Classification on Structured Data (2008) (1)
- Budgeted transcript discovery: A framework for joint exploration and validation studies (2014) (1)
- Focus of Attention in Sequential Decision Making (2004) (1)
- Analyzing test driven development based on GitHub evidence (2016) (1)
- Learning efficient query processing strategies (1992) (1)
- Creating Video Games to Treat Chronic Depression (2010) (1)
- Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale (2022) (1)
- Dynamic Modeling of Chaotic Time Series by Neural Networks (1997) (1)
- Knowing What Doesn't Matter: Exploiting Omitted Superruous Data (1994) (1)
- A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra (2010) (1)
- Predicting Where a Web User Wants to Go : Workshop on Best Practices and Future Visions for Search User Interfaces (2003) (1)
- The Budgeted Biomarker Discovery Problem: A Variant of Association Studies (2014) (1)
- Supervised Learning Using Labeled and Unlabeled Examples (1997) (0)
- Proteome Analyst: An Overview (2004) (0)
- SAT-121-Predicting sarcopenia in patients with cirrhosis based on clinical and laboratory parameters using machine learning (2019) (0)
- Survival prediction using microarray data – A topic modeling approach (2016) (0)
- Fast (distribution Speciic) Learning (1997) (0)
- Development of micro-RNA profiles from leukemic subpopulations as predictors of response to therapy in AML using a high throughput and sensitive microfluidic platform (2014) (0)
- An E-Mental Health Solution to Prevent and Manage Post-Traumatic Stress Injuries among First Responders in Alberta: Protocol for the Implementation and Evaluation of Text4PTSI (Preprint) (2021) (0)
- Fast distribution-specific learning (1997) (0)
- Personalized breast cancer onset prediction from lifestyle and health history information (2022) (0)
- Variational Auto-Encoder for Causal Inference (2020) (0)
- 1030 Distinctive Urinary Metabolite Profiles Correlate With Microbial Composition and Are Linked With Endoscopic Post-Operative Disease Recurrence in Crohn's Disease Patients (2013) (0)
- Learning predictors by integrating multiple microarray datasets (2011) (0)
- Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study (Preprint) (2020) (0)
- Learning the structure–activity relationship (SAR) of the Wittig reaction from genetically-encoded substrates (2021) (0)
- Appendix to Structural Extension to Logistic Regression (2005) (0)
- Analyzing biomarker discovery: Estimating the reproducibility of biomarker sets (2021) (0)
- Learning Browsing Behavior Models to Recommend Relevant Web Pages (2005) (0)
- Distribution Learning of Belief Net Parameters (2015) (0)
- Application : Russell Greiner 43325 1 Form 101 , Part II : Research Proposal (0)
- 128 A comprehensive genomic approach to the identification of predictive markers using dna and tissue repair gene polymorphisms in radiation induced late toxicity in prostate cancer patients treated with conformal radiotherapy (2006) (0)
- Title of Thesis: Using Distinct Information Channels for a Hybrid Web Recommender System Using Distinct Information Channels for a Hybrid Web Recommender System an Excellent Work Environment (2004) (0)
- Against the unjustified use of probabilities (1988) (0)
- 41 A novel approach to constructing more “Intelligent” planning target volumes for glioma patients (2006) (0)
- Tutorial Forum at the Twenty-Fourth AAAI Conference on Artificial Intelligence (2010) (0)
- Algebra of inference in graphical models revisited (2014) (0)
- Recurrent Neural Networks with Continuous Topology Adaptation, Kalman Filter Based Training (1997) (0)
- Scaling to Domains with Irrelevant Features (1997) (0)
- Evaluating an Adaptive Music-Clip Recommender System (2005) (0)
- Effective hospital readmission prediction models using machine-learned features (2022) (0)
- Publications received (1997) (0)
- The Discriminative Power of a Dynamical Model Neuron (1997) (0)
- 8.2 Future Work 8.1 Concluding Remarks Limitations of the Model and Limits of the Analogy (1998) (0)
- How an Expert can use Imperfect Knowledgeto Improve an Imperfect Theory (2007) (0)
- Learning Markov Networks with Bounded Inference Complexity (2013) (0)
- Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep Gaussian Process (iTDGP) (2022) (0)
- An Optimized Theory Revision Module (1995) (0)
- User-Web Interaction Models for Complete Web Recommendation (2003) (0)
- The Proteome Analyst Suite of Automated Function Prediction Tools (2005) (0)
- Delta-learning system for using expert advice to revise fault hierarchies in diagnostic expert systems (1997) (0)
- Robust and Efficient Learning (1997) (0)
- BIOINFORMATICS ORIGINAL Predicting homologous signaling pathways using machine learning (2009) (0)
- 2071 : A Novel Approach to more “Intelligent” Planning Target Volumes for Glioma Patients (2006) (0)
- Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study (2022) (0)
- Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study (2022) (0)
- A Practical Approach for Evaluating Generalization Performance (1997) (0)
- Imposing Bounds on the Number of Categories for Incremental Concept Formation (1997) (0)
- Correction to: Evaluation of machine learning methods for predicting eradication of aquatic invasive species (2018) (0)
- Discriminant Model Selection for Belief Net Structures (0)
- VipBoost: A More Accurate Boosting Algorithm (2009) (0)
- Modeling and Forecasting COVID-19 Cases using Latent Subpopulations (2023) (0)
- Session Introduction (2007) (0)
- Abnormal Data Points in the Data Set: An Algorithm For Robust Neural Net Regression (1997) (0)
- Changes in Stress, Anxiety, and Depression Levels of Subscribers to a Daily Supportive Text Message Program (Text4Hope) During the COVID-19 Pandemic: Cross-Sectional Survey Study (Preprint) (2020) (0)
- A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces (2021) (0)
- Probabilistic Self-structuring and Learning (1997) (0)
- Finding Relevant Features for Different Times in Survival Prediction by Discrete Hazard Bayesian Network (2021) (0)
- What Makes Derivational Analogy Work: An Experience Report Using APU (1997) (0)
- A Comparision of RBF and MLP Networks for Classification of Biomagnetic Fields (1997) (0)
- Statistical A to Solving t ti (1999) (0)
- Improving and Analyzing Generalization (1997) (0)
- A Probability Model to Refine Word Alignments (2003) (0)
- Fast Perceptual Learning of Motion in Humans and Neural Networks (1997) (0)
- Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021 (2021) (0)
- Form 101, Part Ii: Research Proposal 1 Framework (0)
- Preparation of Monospecific HLA Antibodies from Cross-Reactive Multispecific Antisera (2008) (0)
- 17850 Predicting the long-term outcomes of biologics in psoriasis patients using machine learning (2020) (0)
- DREAM Community. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial (2016) (0)
- Learning of Bounded Active Classifiers (2005) (0)
- fMRI-Based Machine Learning Analysis of Neural Substrates of Pediatric Anxiety: Temporal Pole and Emotional Face-Responses. (2020) (0)
- Domain-shift adaptation via linear transformations (2022) (0)
- Efficient Learning of Regular Expressions from Approximate Examples (1997) (0)
- Appendix to ìStructural Extension to Logistic Regressionî (2005) (0)
- PREDICTING FOR INTERNET RECOMMENDATION : A MACHINE LEARNING (2006) (0)
- This Document Gives Full References to the Papers Cited in the Slides for Robert Holte's Aaai 2005 Tutorial " Where Do Heuristics Come from ? (the Use of Abstraction to Speed up Search) " , plus a Few Extra References (2005) (0)
- An experimental methodology for response surface optimization methods (2011) (0)
- Boolean Matrix Factorization and Completion via Message Passing (2015) (0)
- An Empirical Investigation of the MDL PrincipleTim (2005) (0)
- On Learning the Neural Network Architecture: A Case Study (1997) (0)
- 186 APPLICATION OF MACHINE LEARNING METHODOLOGY FOR PETBASED DEFINITION OF LUNG CANCER (2009) (0)
- Forthcoming papers (2002) (0)
- Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features (2017) (0)
- A simple classification framework for predicting Alzheimer's disease from region-based grey matter volume and APOE genotype status (2020) (0)
- Estimating the Variance of Query Responses in Hybrid Bayesian Nets (0)
- University of Alberta Using Snp Data to Predict Radiation Toxicity for Prostate Cancer Patients Examining Committee (2010) (0)
- LILAC - Learn from Internet: Log, Annotation, and Content (2009) (0)
- Learning to Classify Incomplete ExamplesDale SchuurmansDepartment of Computer ScienceUniversity of TorontoToronto , ON M 5 S 1 A 4 (1993) (0)
- Term Generalization and Synonym Resolution for Biological Abstracts: Using the Gene Ontology for Subcellular Localization Prediction (2006) (0)
- DEEP NEURAL NETWORK PREDICTION OF 12-MONTH HEART FAILURE ADMISSION FROM CARDIAC MRI 3D MYOCARDIAL DEFORMATION ANALYSIS (2022) (0)
- MRS Manual. Multiple Representation System (1981) (0)
- Learning Verb Translation Rules from Ambiguous Examples and a Large Semantic Hierarchy (1997) (0)
- Learning discriminative functional network features of schizophrenia (2017) (0)
- A community-based collaboration to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer (2016) (0)
- Pathway Analyst—automating Biochemical Pathway Prediction (2005) (0)
- Eecient Reasoning (1998) (0)
- Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines (2018) (0)
This paper list is powered by the following services:
Other Resources About Russell Greiner
What Schools Are Affiliated With Russell Greiner?
Russell Greiner is affiliated with the following schools:
