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ORCIDRussell Greiner
Russ Greiner
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
[j68]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: 103257 (2024)- [j67]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) - [c138]Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Md. Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner:
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. ICMHI 2024: 143-152 - [c137]Shiang Qi, Yakun Yu, Russell Greiner:
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration. ICML 2024 - [i44]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 abs/2403.16233 (2024) - [i43]Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner:
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction. CoRR abs/2404.02360 (2024) - [i42]Shan Gao, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang:
Early detection of disease outbreaks and non-outbreaks using incidence data. CoRR abs/2404.08893 (2024) - [i41]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 abs/2405.00725 (2024) - [i40]Shiang Qi, Yakun Yu, Russell Greiner:
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration. CoRR abs/2405.07374 (2024) - [i39]Christian Marius Lillelund, Ali Hossein Gharari Foomani, Weijie Sun, Shiang Qi, Russell Greiner:
MENSA: A Multi-Event Network for Survival Analysis under Informative Censoring. CoRR abs/2409.06525 (2024) - [i38]Shiang Qi, Yakun Yu, Russell Greiner:
Toward Conditional Distribution Calibration in Survival Prediction. CoRR abs/2410.20579 (2024) - [i37]Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal:
MassSpecGym: A benchmark for the discovery and identification of molecules. CoRR abs/2410.23326 (2024) - 2023
- [j66]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) - [j65]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): 3389-3400 (2023) - [c136]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: 1-2 - [c135]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: 28244-28276 - [c134]Mohsen Soltanpour, Muhammad Yousefnezhad, Russ Greiner, Pierre Boulanger, Brian Buck:
Using temporal GAN to translate the current CTP scan to follow-up MRI, for predicting final acute ischemic stroke lesions. Computer-Aided Diagnosis 2023 - [c133]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: 368-384 - [c132]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: 1-7 - [c131]Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan:
Copula-based deep survival models for dependent censoring. UAI 2023: 669-680 - [i36]Roberto Vega, Zehra Shah, Pouria Ramazi, Russell Greiner:
Modeling and Forecasting COVID-19 Cases using Latent Subpopulations. CoRR abs/2302.04829 (2023) - [i35]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 abs/2305.18033 (2023) - [i34]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 abs/2306.01196 (2023) - [i33]Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan:
Copula-Based Deep Survival Models for Dependent Censoring. CoRR abs/2306.11912 (2023) - 2022
- [j64]Rohan Panda, Sunil Vasu Kalmady, Russell Greiner:
Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study. Frontiers Neuroinformatics 16: 805117 (2022) - [j63]Muhammad Yousefnezhad, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Editorial: Multi-site neuroimage analysis: Domain adaptation and batch effects. Frontiers Neuroinformatics 16 (2022) - [j62]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): 622-631 (2022) - [j61]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): 115-123 (2022) - [j60]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): 165-174 (2022) - [i32]Roberto Vega, Russell Greiner:
Domain-shift adaptation via linear transformations. CoRR abs/2201.05282 (2022) - [i31]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 abs/2210.06291 (2022) - [i30]Mohsen Soltanpour, Muhammad Yousefnezhad, Russ Greiner, Pierre Boulanger, Brian Buck:
Ischemic Stroke Lesion Prediction using imbalanced Temporal Deep Gaussian Process (iTDGP). CoRR abs/2211.09068 (2022) - [i29]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 abs/2211.10431 (2022) - 2021
- [j59]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: 102286 (2021) - [j58]Mohsen Soltanpour, Russ Greiner, Pierre Boulanger, Brian Buck:
Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network. Comput. Biol. Medicine 137: 104849 (2021) - [j57]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: 624659 (2021) - [j56]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): 146045822097758 (2021) - [j55]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): 3128-3140 (2021) - [j54]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): 973-984 (2021) - [c130]Roberto Vega, Pouneh Gorji, Zichen 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: 739-747 - [c129]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: 1-2 - [c128]Sunil Vasu Kalmady, Weijie Sun, Justin A. Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul:
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding. SPACA 2021: 70-82 - [c127]Li-Hao Kuan, Russell Greiner:
Finding Relevant Features for Different Times in Survival Prediction by Discrete Hazard Bayesian Network. SPACA 2021: 240-251 - [e1]Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar:
Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021. Proceedings of Machine Learning Research 146, PMLR 2021 [contents] - [i28]Roberto Vega, Pouneh Gorji, Zichen 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 abs/2102.06164 (2021) - [i27]Roberto Vega, Leonardo Flores, Russell Greiner:
SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting. CoRR abs/2106.01590 (2021) - [i26]Negar Hassanpour, Russell Greiner:
Variational Auto-Encoder Architectures that Excel at Causal Inference. CoRR abs/2111.06486 (2021) - 2020
- [j53]Humza Haider, Bret Hoehn, Sarah Davis, Russell Greiner:
Effective Ways to Build and Evaluate Individual Survival Distributions. J. Mach. Learn. Res. 21: 85:1-85:63 (2020) - [c126]Negar Hassanpour, Russell Greiner:
Learning Disentangled Representations for CounterFactual Regression. ICLR 2020 - [c125]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Domain Aggregation Networks for Multi-Source Domain Adaptation. ICML 2020: 10214-10224 - [c124]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. NeurIPS 2020 - [i25]Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner:
Shared Space Transfer Learning for analyzing multi-site fMRI data. CoRR abs/2010.15594 (2020)
2010 – 2019
- 2019
- [j52]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): 15- (2019) - [j51]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): 2:1-2:25 (2019) - [j50]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): 1401-1419 (2019) - [c123]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: 957-963 - [c122]Negar Hassanpour, Russell Greiner:
CounterFactual Regression with Importance Sampling Weights. IJCAI 2019: 5880-5887 - [c121]Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. IJCAI 2019: 5975-5981 - [c120]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: 8847-8857 - [i24]Luke N. Kumar, Russell Greiner:
Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach. CoRR abs/1903.10536 (2019) - [i23]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 abs/1903.12347 (2019) - [i22]Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. CoRR abs/1906.10780 (2019) - [i21]Seyedeh Sepideh Emam, Amy X. Du, Philip Surmanowicz, Simon F. Thomsen, Russ Greiner, Robert Gniadecki:
Predicting the Long-Term Outcomes of Biologics in Psoriasis Patients Using Machine Learning. CoRR abs/1908.09251 (2019) - [i20]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Domain Aggregation Networks for Multi-Source Domain Adaptation. CoRR abs/1909.05352 (2019) - [i19]Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner:
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR abs/1912.09040 (2019) - 2018
- [j49]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): 1931-1958 (2018) - [j48]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): 1282-1291 (2018) - [c119]Negar Hassanpour, Russell Greiner:
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. Canadian AI 2018: 31-44 - [c118]Neil C. Borle, Meysam Feghhi, Eleni Stroulia, Russell Greiner, Abram Hindle:
Analyzing the effects of test driven development in GitHub. ICSE 2018: 1062 - [c117]Roberto Vega, Russell Greiner:
Finding Effective Ways to (Machine) Learn fMRI-Based Classifiers from Multi-site Data. MLCN/DLF/iMIMIC@MICCAI 2018: 32-39 - [i18]Humza Haider, Bret Hoehn, Sarah Davis, Russell Greiner:
Effective Ways to Build and Evaluate Individual Survival Distributions. CoRR abs/1811.11347 (2018) - 2017
- [j47]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): 37-51 (2017) - [j46]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) - [c116]Stephen Romansky, Neil C. Borle, Shaiful Alam Chowdhury, Abram Hindle, Russell Greiner:
Deep Green: Modelling Time-Series of Software Energy Consumption. ICSME 2017: 273-283 - [c115]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371A - [i17]Jumana Dakka, Pouya Bashivan, Mina Gheiratmand, Irina Rish, Shantenu Jha, Russell Greiner:
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks. CoRR abs/1712.00512 (2017) - 2016
- [j45]Yannick Djoumbou, Roman Eisner, Craig Knox, Leonid L. Chepelev, Janna Hastings, Gareth I. 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): 61:1-61:20 (2016) - [c114]Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner:
Stochastic Neural Networks with Monotonic Activation Functions. AISTATS 2016: 809-818 - [c113]Siamak Ravanbakhsh, Barnabás Póczos, Russell Greiner:
Boolean Matrix Factorization and Noisy Completion via Message Passing. ICML 2016: 945-954 - [i16]Siamak Ravanbakhsh, Barnabás Póczos, Jeff G. Schneider, Dale Schuurmans, Russell Greiner:
Stochastic Neural Networks with Monotonic Activation Functions. CoRR abs/1601.00034 (2016) - 2015
- [j44]Siamak Ravanbakhsh, Russell Greiner:
Perturbed message passing for constraint satisfaction problems. J. Mach. Learn. Res. 16: 1249-1274 (2015) - [c112]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: 1-6 - [c111]Junfeng Wen, Russell Greiner, Dale Schuurmans:
Correcting Covariate Shift with the Frank-Wolfe Algorithm. IJCAI 2015: 1010-1016 - [c110]Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russell Greiner, Eleni Stroulia:
Detecting duplicate bug reports with software engineering domain knowledge. SANER 2015: 211-220 - [i15]Siamak Ravanbakhsh, Russell Greiner:
Boolean Matrix Factorization and Completion via Message Passing. CoRR abs/1509.08535 (2015) - 2014
- [j43]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): 94-99 (2014) - [c109]Sheehan Khan, Russell Greiner:
The Budgeted Biomarker Discovery Problem: A Variant of Association Studies. AAAI Workshop: Modern Artificial Intelligence for Health Analytics 2014 - [c108]Sheehan Khan, Russell Greiner:
Budgeted transcript discovery: A framework for joint exploration and validation studies. BIBM 2014: 188-191 - [c107]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: 922-926 - [c106]Junfeng Wen, Chun-Nam Yu, Russell Greiner:
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification. ICML 2014: 631-639 - [c105]Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner:
Min-Max Problems on Factor Graphs. ICML 2014: 1035-1043 - [c104]Kun Deng, Russ Greiner, Susan A. Murphy:
Budgeted Learning for Developing Personalized Treatment. ICMLA 2014: 7-14 - [c103]Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner:
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning. NIPS 2014: 289-297 - [i14]Siamak Ravanbakhsh, Russell Greiner:
Perturbed Message Passing for Constraint Satisfaction Problems. CoRR abs/1401.6686 (2014) - [i13]Siamak Ravanbakhsh, Russell Greiner, Brendan J. Frey:
Training Restricted Boltzmann Machine by Perturbation. CoRR abs/1405.1436 (2014) - [i12]Siamak Ravanbakhsh, Reihaneh Rabbany, Russell Greiner:
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning. CoRR abs/1406.0941 (2014) - [i11]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 abs/1409.1456 (2014) - [i10]Siamak Ravanbakhsh, Russell Greiner:
Algebra of inference in graphical models revisited. CoRR abs/1409.7410 (2014) - 2013
- [j42]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: 61 (2013) - [j41]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): S3 (2013) - [j40]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): 649-679 (2013) - [j39]Shaojun Wang, Russell Greiner, Shaomin Wang:
Consistency and Generalization Bounds for Maximum Entropy Density Estimation. Entropy 15(12): 5439-5463 (2013) - [j38]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): 801-807 (2013) - [c102]Marius Stanescu, Sergio Poo Hernandez, Graham Erickson, Russell Greiner, Michael Buro:
Predicting Army Combat Outcomes in StarCraft. AIIDE 2013 - [c101]Idanis Diaz, Pierre Boulanger, Russell Greiner, Bret Hoehn, Lindsay Rowe, Albert Murtha:
An automatic brain tumor segmentation tool. EMBC 2013: 3339-3342 - [c100]Sheehan Khan, Russell Greiner:
Finding Discriminatory Genes: A Methodology for Validating Microarray Studies. ICDM Workshops 2013: 64-71 - [c99]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: 30-39 - [c98]Navid Zolghadr, Gábor Bartók, Russell Greiner, András György, Csaba Szepesvári:
Online Learning with Costly Features and Labels. NIPS 2013: 1241-1249 - [i9]