Russell Greiner

ORCID

Publication Activity (10 Years)

Years Active: 1980-2024
Publications (10 Years): 68

Top Venues

Publications

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue. Medical Image Anal. 97 (2024)
Shan Gao, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang
Early detection of disease outbreaks and non-outbreaks using incidence data. CoRR (2024)
Shiang Qi, Yakun Yu, Russell Greiner
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration. CoRR (2024)
Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. npj Digit. Medicine 7 (1) (2024)
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. CoRR (2024)
Amit K. Chakraborty, Shan Gao, Reza Miry, Pouria Ramazi, Russell Greiner, Mark A. Lewis, Hao Wang
An early warning indicator trained on stochastic disease-spreading models with different noises. CoRR (2024)
Zehra Shah, Shiang Qi, Fei Wang, Mahtab Farrokh, Mashrura Tasnim, Eleni Stroulia, Russell Greiner, Manos Plitsis, Athanasios Katsamanis
Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer's Dementia. ICASSP (2023)
Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations. CoRR (2023)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. npj Digit. Medicine 6 (2023)
Shiang Qi, Neeraj Kumar, Ruchika Verma, Jian-Yi Xu, Grace Shen-Tu, Russell Greiner
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction. IEEE Trans. Biomed. Eng. 70 (12) (2023)
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
An Effective Meaningful Way to Evaluate Survival Models. CoRR (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. ML4H@NeurIPS (2023)
Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner
An Effective Meaningful Way to Evaluate Survival Models. ICML (2023)
Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen
The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue. CoRR (2023)
Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan
Copula-based deep survival models for dependent censoring. UAI (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. SIPAIM (2023)
Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan
Copula-Based Deep Survival Models for Dependent Censoring. CoRR (2023)
Muhammad Yousefnezhad, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers Neuroinformatics 16 (2022)
David S. Wishart, Anchi Guo, Eponine Oler, Fei Wang, Afia Anjum, Harrison Peters, Raynard Dizon, Zinat Sayeeda, Siyang Tian, Brian L. Lee, Mark V. Berjanskii, Robert Mah, Mai Yamamoto, Juan Jovel, Claudia Torres-Calzada, Mickel Hiebert-Giesbrecht, Vicki W. Lui, Dorna Varshavi, Dorsa Varshavi, Dana Allen, David Arndt, Nitya Khetarpal, Aadhavya Sivakumaran, Karxena Harford, Selena Sanford, Kristen Yee, Xuan Cao, Zachary Budinski, Jaanus Liigand, Lun Zhang, Jiamin Zheng, Rupasri Mandal, Naama Karu, Maija Dambrova, Helgi B. Schiöth, Russell Greiner, Vasuk Gautam
HMDB 5.0: the Human Metabolome Database for 2022. Nucleic Acids Res. 50 (D1) (2022)
David S. Wishart, Siyang Tian, Dana Allen, Eponine Oler, Harrison Peters, Vicki W. Lui, Vasuk Gautam, Yannick Djoumbou Feunang, Russell Greiner, Thomas O. Metz
BioTransformer 3.0 - a web server for accurately predicting metabolic transformation products. Nucleic Acids Res. 50 (W1) (2022)
Fei Wang, Dana Allen, Siyang Tian, Eponine Oler, Vasuk Gautam, Russell Greiner, Thomas O. Metz, David S. Wishart
CFM-ID 4.0 - a web server for accurate MS-based metabolite identification. Nucleic Acids Res. 50 (W1) (2022)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. CoRR (2022)
Roberto Vega, Russell Greiner
Domain-shift adaptation via linear transformations. CoRR (2022)
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets. CoRR (2022)
Rohan Panda, Sunil Vasu Kalmady, Russell Greiner
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study. Frontiers Neuroinformatics 16 (2022)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels. AISTATS (2021)
Zehra Shah, Jeffrey Sawalha, Mashrura Tasnim, Shiang Qi, Eleni Stroulia, Russell Greiner
Learning Language and Acoustic Models for Identifying Alzheimer's Dementia From Speech. Frontiers Comput. Sci. 3 (2021)
Yaqian Long, Benoit Rivard, Arturo Sanchez-Azofeifa, Russell Greiner, Dominica Harrison, Sen Jia
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 97 (2021)
Roberto Vega, Pouneh Gorji, Zichen Vincent Zhang, Xuebin Qin, Abhilash Rakkunedeth Hareendranathan, Jeevesh Kapur, Jacob L. Jaremko, Russell Greiner
Sample Efficient Learning of Image-Based Diagnostic Classifiers Using Probabilistic Labels. CoRR (2021)
Siyang Tian, Xuan Cao, Russell Greiner, Carin Li, Anchi Guo, David S. Wishart
CyProduct: A Software Tool for Accurately Predicting the Byproducts of Human Cytochrome P450 Metabolism. J. Chem. Inf. Model. 61 (6) (2021)
Negar Hassanpour, Russell Greiner
Variational Auto-Encoder Architectures that Excel at Causal Inference. CoRR (2021)
Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar
Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021. SPACA (2021)
Neil C. Borle, Edmond A. Ryan, Russell Greiner
The challenge of predicting blood glucose concentration changes in patients with type I diabetes. Health Informatics J. 27 (1) (2021)
Li-Hao Kuan, Russell Greiner
Finding Relevant Features for Different Times in Survival Prediction by Discrete Hazard Bayesian Network. SPACA (2021)
Michael A. Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J. Foster, Petur W. Dalsgaard, David S. Wishart
A deep generative model enables automated structure elucidation of novel psychoactive substances. Nat. Mach. Intell. 3 (11) (2021)
Roberto Vega, Leonardo Flores, Russell Greiner
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. CoRR (2021)
Negar Hassanpour, Russell Greiner
Learning Disentangled Representations for CounterFactual Regression. ICLR (2020)
Humza Haider, Bret Hoehn, Sarah Davis, Russell Greiner
Effective Ways to Build and Evaluate Individual Survival Distributions. J. Mach. Learn. Res. 21 (2020)
Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
Shared Space Transfer Learning for analyzing multi-site fMRI data. NeurIPS (2020)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML (2020)
Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner
Shared Space Transfer Learning for analyzing multi-site fMRI data. CoRR (2020)
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. CoRR (2019)
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. IJCAI (2019)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR (2019)
Mohsen Soltanpour, Russell Greiner, Pierre Boulanger, Brian Buck
Ischemic Stroke Lesion Prediction in CT Perfusion Scans Using Multiple Parallel U-Nets Following by a Pixel-Level Classifier. BIBE (2019)
Yannick Djoumbou Feunang, Jarlei Fiamoncini, Alberto Gil-de-la-Fuente, Russell Greiner, Claudine Manach, David S. Wishart
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification. J. Cheminformatics 11 (1) (2019)
Luke N. Kumar, Russell Greiner
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach. CoRR (2019)
Negar Hassanpour, Russell Greiner
CounterFactual Regression with Importance Sampling Weights. IJCAI (2019)
Neil C. Borle, Edmond A. Ryan, Russell Greiner
The Challenge of Predicting Meal-to-meal Blood Glucose Concentrations for Patients with Type I Diabetes. CoRR (2019)
Reyhaneh Ghoreishiamiri, Graham Little, Matthew R. G. Brown, Russell Greiner
A simple classification framework for predicting Alzheimer's disease from region-based grey matter volume and APOE genotype status. Artif. Intell. Res. 8 (2) (2019)
Jakub M. Tomczak, Szymon Zareba, Siamak Ravanbakhsh, Russell Greiner
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines. Neural Process. Lett. 50 (2) (2019)
Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR (2019)
Farzane Aminmansour, Andrew Patterson, Lei Le, Yisu Peng, Daniel Mitchell, Franco Pestilli, Cesar F. Caiafa, Russell Greiner, Martha White
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization. NeurIPS (2019)
Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle
Analyzing the effects of test driven development in GitHub. ICSE (2018)
Humza Haider, Bret Hoehn, Sarah Davis, Russell Greiner
Effective Ways to Build and Evaluate Individual Survival Distributions. CoRR (2018)
Negar Hassanpour, Russell Greiner
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. Canadian Conference on AI (2018)
Roberto Vega, Russell Greiner
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. MLCN/DLF/iMIMIC@MICCAI (2018)
Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle
Analyzing the effects of test driven development in GitHub. Empir. Softw. Eng. 23 (4) (2018)
Siyang Tian, Yannick Djoumbou Feunang, Russell Greiner, David S. Wishart
CypReact: A Software Tool for in Silico Reactant Prediction for Human Cytochrome P450 Enzymes. J. Chem. Inf. Model. 58 (6) (2018)
Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. 6 (1) (2017)
Karan Aggarwal, Finbarr Timbers, Tanner Rutgers, Abram Hindle, Eleni Stroulia, Russell Greiner
Detecting duplicate bug reports with software engineering domain knowledge. J. Softw. Evol. Process. 29 (3) (2017)
Stephen Romansky, Neil C. Borle, Shaiful Alam Chowdhury, Abram Hindle, Russell Greiner
Deep Green: Modelling Time-Series of Software Energy Consumption. ICSME (2017)
Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks. CoRR (2017)
Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun
Learning discriminative functional network features of schizophrenia. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
Stochastic Neural Networks with Monotonic Activation Functions. CoRR (2016)
Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner
Stochastic Neural Networks with Monotonic Activation Functions. AISTATS (2016)
Yannick Djoumbou, Roman Eisner, Craig Knox, Leonid L. Chepelev, Janna Hastings, Gareth Owen, Eoin Fahy, Christoph Steinbeck, Shankar Subramanian, Evan Bolton, Russell Greiner, David S. Wishart
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy. J. Cheminformatics 8 (1) (2016)
Siamak Ravanbakhsh, Barnabás Póczos, Russell Greiner
Boolean Matrix Factorization and Noisy Completion via Message Passing. ICML (2016)
Siamak Ravanbakhsh, Russell Greiner
Perturbed message passing for constraint satisfaction problems. J. Mach. Learn. Res. 16 (2015)
Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russell Greiner, Eleni Stroulia
Detecting duplicate bug reports with software engineering domain knowledge. SANER (2015)
Siamak Ravanbakhsh, Russell Greiner
Boolean Matrix Factorization and Completion via Message Passing. CoRR (2015)
Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner
A system-call based model of software energy consumption without hardware instrumentation. IGSC (2015)
Junfeng Wen, Russell Greiner, Dale Schuurmans
Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI (2015)
Junfeng Wen, Chun-Nam Yu, Russell Greiner
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML (2014)
Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning. CoRR (2014)
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner
Min-Max Problems on Factor Graphs. ICML (2014)
Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning. NIPS (2014)
Felicity Allen, Allison Pon, Michael Wilson, Russell Greiner, David S. Wishart
CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra. Nucleic Acids Res. 42 (Webserver-Issue) (2014)
Siamak Ravanbakhsh, Russell Greiner
Algebra of inference in graphical models revisited. CoRR (2014)
Sheehan Khan, Russell Greiner
The Budgeted Biomarker Discovery Problem: A Variant of Association Studies. AAAI Workshop: Modern Artificial Intelligence for Health Analytics (2014)
Baidya Nath Saha, Amritpal Saini, Nilanjan Ray, Russell Greiner, Judith Hugh, Mauro Tambasco
A robust convergence index filter for breast cancer cell segmentation. ICIP (2014)
Sheehan Khan, Russell Greiner
Budgeted transcript discovery: A framework for joint exploration and validation studies. BIBM (2014)
Siamak Ravanbakhsh, Russell Greiner
Perturbed Message Passing for Constraint Satisfaction Problems. CoRR (2014)
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. CoRR (2014)
Siamak Ravanbakhsh, Russell Greiner, Brendan J. Frey
Training Restricted Boltzmann Machine by Perturbation. CoRR (2014)
Sheehan Khan, Russell Greiner
Finding Discriminatory Genes: A Methodology for Validating Microarray Studies. ICDM Workshops (2013)
Russell Greiner, Adam J. Grove, Dale Schuurmans
Learning Bayesian Nets that Perform Well CoRR (2013)
Tim Van Allen, Russell Greiner, Peter Hooper
Bayesian Error-Bars for Belief Net Inference CoRR (2013)
Marius Stanescu, Sergio Poo Hernandez, Graham Erickson, Russell Greiner, Michael Buro
Predicting Army Combat Outcomes in StarCraft. AIIDE (2013)
Jie Cheng, Russell Greiner
Comparing Bayesian Network Classifiers CoRR (2013)
Mohsen Hajiloo, Yadav Sapkota, John R. Mackey, Paula Robson, Russell Greiner, Sambasivarao Damaraju
ETHNOPRED: a novel machine learning method for accurate continental and sub-continental ancestry identification and population stratification correction. BMC Bioinform. 14 (2013)
David S. Wishart, Timothy Jewison, Anchi 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 C. Bjorndahl, Rolando Perez-Pineiro, Roman Eisner, Felicity Allen, Vanessa Neveu, Russell Greiner, Augustin Scalbert
HMDB 3.0 - The Human Metabolome Database in 2013. Nucleic Acids Res. 41 (Database-Issue) (2013)
Felicity Allen, Russell Greiner, David S. Wishart
Competitive Fragmentation Modeling of ESI-MS/MS spectra for metabolite identification. CoRR (2013)
Idanis Diaz, Pierre Boulanger, Russell Greiner, Bret Hoehn, Lindsay Rowe, Albert Murtha
An automatic brain tumor segmentation tool. EMBC (2013)
Mohsen Hajiloo, Babak Damavandi, Metanat HooshSadat, Farzad Sangi, John R. Mackey, Carol E. Cass, Russell Greiner, Sambasivarao Damaraju
Breast cancer prediction using genome wide single nucleotide polymorphism data. BMC Bioinform. 14 (S-13) (2013)
Mohamed Ben Salah, Idanis Diaz, Russell Greiner, Pierre Boulanger, Bret Hoehn, Albert Murtha
Fully Automated Brain Tumor Segmentation Using Two MRI Modalities. ISVC (1) (2013)
Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
Exploiting Syntactic, Semantic, and Lexical Regularities in Language Modeling via Directed Markov Random Fields. Comput. Intell. 29 (4) (2013)
Shaojun Wang, Russell Greiner, Shaomin Wang
Consistency and Generalization Bounds for Maximum Entropy Density Estimation. Entropy 15 (12) (2013)
Navid Zolghadr, Gábor Bartók, Russell Greiner, András György, Csaba Szepesvári
Online Learning with Costly Features and Labels. NIPS (2013)
Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner
Combining gene expression and interaction network data to improve kidney lesion score prediction. Int. J. Bioinform. Res. Appl. 8 (1/2) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Russell Greiner