Russell Greiner
Orcid: 0000-0001-8327-934XAffiliations:
- University of Alberta, Edmonton, Canada
According to our database1,
Russell Greiner
authored at least 219 papers
between 1980 and 2024.
Collaborative distances:
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Bibliography
2024
An early warning indicator trained on stochastic disease-spreading models with different noises.
CoRR, 2024
2023
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.
IEEE Trans. Biomed. Eng., December, 2023
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms.
npj Digit. Medicine, 2023
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction.
Proceedings of the Machine Learning for Health, 2023
Using temporal GAN to translate the current CTP scan to follow-up MRI, for predicting final acute ischemic stroke lesions.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the International Conference on Machine Learning, 2023
Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer's Dementia.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
BioTransformer 3.0 - a web server for accurately predicting metabolic transformation products.
Nucleic Acids Res., 2022
Nucleic Acids Res., 2022
Frontiers Neuroinformatics, 2022
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study.
Frontiers Neuroinformatics, 2022
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale.
CoRR, 2022
Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep Gaussian Process (iTDGP).
CoRR, 2022
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets.
CoRR, 2022
2021
A deep generative model enables automated structure elucidation of novel psychoactive substances.
Nat. Mach. Intell., 2021
CyProduct: A Software Tool for Accurately Predicting the Byproducts of Human Cytochrome P450 Metabolism.
J. Chem. Inf. Model., 2021
The challenge of predicting blood glucose concentration changes in patients with type I diabetes.
Health Informatics J., 2021
Learning Language and Acoustic Models for Identifying Alzheimer's Dementia From Speech.
Frontiers Comput. Sci., 2021
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels.
CoRR, 2021
Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network.
Comput. Biol. Medicine, 2021
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Finding Relevant Features for Different Times in Survival Prediction by Discrete Hazard Bayesian Network.
Proceedings of AAAI Symposium on Survival Prediction, 2021
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding.
Proceedings of AAAI Symposium on Survival Prediction, 2021
Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021.
Proceedings of AAAI Symposium on Survival Prediction, 2021
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
J. Mach. Learn. Res., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Neural Process. Lett., 2019
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification.
J. Cheminformatics, 2019
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation.
CoRR, 2019
Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning.
CoRR, 2019
The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes.
CoRR, 2019
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach.
CoRR, 2019
A simple classification framework for predicting Alzheimer's disease from region-based grey matter volume and APOE genotype status.
Artif. Intell. Res., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Ischemic Stroke Lesion Prediction in CT Perfusion Scans Using Multiple Parallel U-Nets Following by a Pixel-Level Classifier.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2018
CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes.
J. Chem. Inf. Model., 2018
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
J. Softw. Evol. Process., 2017
CoRR, 2017
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.
Artif. Intell. Res., 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017
2016
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy.
J. Cheminformatics, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
J. Mach. Learn. Res., 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
A system-call based model of software energy consumption without hardware instrumentation.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015
2014
CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra.
Nucleic Acids Res., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Budgeted transcript discovery: A framework for joint exploration and validation studies.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the Modern Artificial Intelligence for Health Analytics, 2014
2013
Entropy, 2013
Competitive Fragmentation Modeling of ESI-MS/MS spectra for metabolite identification.
CoRR, 2013
Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields.
Comput. Intell., 2013
ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction.
BMC Bioinform., 2013
BMC Bioinform., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013
2012
J. Glob. Optim., 2012
Combining gene expression and interaction network data to improve kidney lesion score prediction.
Int. J. Bioinform. Res. Appl., 2012
Eng. Appl. Artif. Intell., 2012
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstractions
CoRR, 2012
Comput. Medical Imaging Graph., 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Mind change optimal learning of Bayes net structure from dependency and independency data.
Inf. Comput., 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Advances in Artificial Intelligence, 2010
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Making an accurate classifier ensemble by voting on classifications from imputed learning sets.
Int. J. Inf. Decis. Sci., 2009
Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling.
Proceedings of the UAI 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach.
Proceedings of the Artificial Intelligence in Medicine, 2009
Proceedings of the Experimental Design for Real-World Systems, 2009
2008
Inf. Sci., 2008
EURASIP J. Adv. Signal Process., 2008
Improving subcellular localization prediction using text classification and the gene ontology.
Bioinform., 2008
Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference.
Artif. Intell., 2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction.
Proceedings of the UAI 2008, 2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Proceedings of the Machine Learning, 2006
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006
Learning to Identify Facial Expression During Detection Using Markov Decision Process.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006
Proceedings of the Computer Vision, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling.
Proceedings of the ACL 2006, 2006
Proceedings of the Proceedings, 2006
2005
PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization.
Nucleic Acids Res., 2005
Nucleic Acids Res., 2005
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.
Mach. Learn., 2005
Proceedings of the User Modeling 2005, 2005
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the Machine Learning: ECML 2005, 2005
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005
Proceedings of the Proceedings, 2005
Proceedings of the Proceedings, 2005
Proceedings of the Proceedings, 2005
2004
Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations.
Nucleic Acids Res., 2004
Bioinform., 2004
Proceedings of the Machine Learning: ECML 2004, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
Proceedings of the Twelfth International World Wide Web Conference, 2003
Proceedings of the User Modeling 2003, 2003
Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003
Proceedings of the IJCAI-03, 2003
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003
2002
Artif. Intell., 2002
Performance of Lookahead Control Policies in the Face of Abstractions and Approximations.
Proceedings of the Abstraction, 2002
Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002
2001
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
Efficient Interpretation Policies.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001
Proceedings of the Advances in Artificial Intelligence, 2001
2000
Model Selection Criteria for Learning Belief Nets: An Empirical Comparison.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999
1997
Artif. Intell., 1997
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997
Why Experimentation can be better than "Perfect Guidance".
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997
1996
Learning Active Classifiers.
Proceedings of the Machine Learning, 1996
Exploiting the Omission of Irrelevant Data.
Proceedings of the Machine Learning, 1996
1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995
Proceedings of the Machine Learning, 1995
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995
1993
D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project.
Artif. Intell., 1993
1992
Proceedings of the Eleventh ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1992
Learning Useful Horn Approximations.
Proceedings of the 3rd International Conference on Principles of Knowledge Representation and Reasoning (KR'92). Cambridge, 1992
Proceedings of the Foundation of Knowledge Representation and Reasoning [the book grew out of an ECAI-92 workshop], 1992
Proceedings of the 10th National Conference on Artificial Intelligence, 1992
1991
Artif. Intell., 1991
Probably Approximately Optimal Derivation Strategies.
Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning (KR'91). Cambridge, 1991
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991
1990
Proceedings of the Third Annual Workshop on Computational Learning Theory, 1990
1989
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989
Towards a Formal Analysis of EBL.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
1988
Proceedings of the IEEE International Conference on Acoustics, 1988
1985
1983
Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983
1980
Proceedings of the 1st Annual National Conference on Artificial Intelligence, 1980