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Vanathi Gopalakrishnan
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2020 – today
- 2021
- [j16]Ganesh Mani
, Frank Chen, Steve Cross, Thomas Kalil, Vanathi Gopalakrishnan, Francesca Rossi, Ken Stanley:
Artificial Intelligence's Grand Challenges: Past, Present, and Future. AI Mag. 42(1): 61-75 (2021) - 2020
- [j15]Jeya Balaji Balasubramanian
, Rebecca D. Boes, Vanathi Gopalakrishnan
:
A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers. J. Biomed. Informatics 107: 103455 (2020)
2010 – 2019
- 2018
- [j14]Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli
, Cecilia W. Lo, Vanathi Gopalakrishnan
, Ashok Panigrahy:
A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. NeuroImage 178: 183-197 (2018) - 2017
- [j13]Jonathan L. Lustgarten, Jeya Balaji Balasubramanian
, Shyam Visweswaran, Vanathi Gopalakrishnan
:
Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data 2(1): 5 (2017) - [j12]Yuzhe Liu
, Vanathi Gopalakrishnan
:
An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data. Data 2(1): 8 (2017) - 2016
- [j11]Mahbaneh Eshaghzadeh Torbati, Makedonka Mitreva, Vanathi Gopalakrishnan
:
Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations. Data 1(3): 19 (2016) - 2015
- [j10]Henry Ogoe
, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan
:
Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. 16: 226:1-226:15 (2015) - [c19]Yuzhe Liu
, Vanathi Gopalakrishnan
, Shobhit Madan:
Quantitative clinical guidelines for imaging use in evaluation of pediatric cardiomyopathy. BIBM 2015: 1572-1578 - 2014
- [j9]Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan
:
Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. 4: 13 (2014) - [c18]Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan:
Application of Bayesian Logistic Regression to Mining Biomedical Data. AMIA 2014 - [c17]Vanathi Gopalakrishnan, Prahlad G. Menon, Shobhit Madan:
A novel framework to enhance scientific knowledge of cardiovascular MRI biomarkers and their application to pediatric cardiomyopathy classification. IWBBIO 2014: 798-809 - [c16]Prahlad G. Menon
, Lailonny Morris, Mara Staines, João A. C. Lima, Daniel C. Lee
, Vanathi Gopalakrishnan
:
Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework. Image Processing 2014: 90341L - 2012
- [c15]Himanshu Grover, Vanathi Gopalakrishnan
:
Efficient processing of models for large-scale shotgun proteomics data. CollaborateCom 2012: 591-596 - 2011
- [j8]Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan
, Gregory F. Cooper:
Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. 12: 309 (2011) - [j7]Philip Ganchev, David Malehorn, William L. Bigbee, Vanathi Gopalakrishnan
:
Transfer learning of classification rules for biomarker discovery and verification from molecular profiling studies. J. Biomed. Informatics 44(Supplement-1): S17-S23 (2011) - 2010
- [j6]Vanathi Gopalakrishnan
, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper:
Bayesian rule learning for biomedical data mining. Bioinform. 26(5): 668-675 (2010)
2000 – 2009
- 2009
- [j5]Jonathan L. Lustgarten, Shyam Visweswaran, Robert P. Bowser, William R. Hogan, Vanathi Gopalakrishnan
:
Knowledge-based variable selection for learning rules from proteomic data. BMC Bioinform. 10(S-9): 16 (2009) - [j4]Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan
, Peter Weigele:
Conditional Graphical Models for Protein Structural Motif Recognition. J. Comput. Biol. 16(5): 639-657 (2009) - [c14]Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran:
Measuring Stability of Feature Selection in Biomedical Datasets. AMIA 2009 - 2008
- [c13]Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, Shyam Visweswaran:
Improving Classification Performance with Discretization on Biomedical Datasets. AMIA 2008 - [c12]Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan:
Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC 2008: 56-63 - [c11]Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan:
An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP 2008: 527-532 - 2007
- [c10]Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele:
Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI 2007: 937-945 - 2006
- [j3]Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
:
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). J. Comput. Biol. 13(2): 394-406 (2006) - [c9]Pinaki S. Mitra, Vanathi Gopalakrishnan
, Rebecca L. McNamee:
Segmentation of fMRI Data by Maximization of Region Contrast. CVPR Workshops 2006: 88 - [c8]Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert P. Bowser:
Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. BioDM 2006: 93-105 - 2005
- [c7]Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan:
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB 2005: 408-422 - 2004
- [j2]Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
:
Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinform. 20(17): 3099-3107 (2004) - [j1]Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan
, Bruce G. Buchanan:
Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. 5: 122 (2004) - [c6]Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan:
Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR 2004: 538-539 - 2000
- [c5]Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg:
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. ISMB 2000: 172-182
1990 – 1999
- 1998
- [c4]Vanathi Gopalakrishnan
, Bruce G. Buchanan:
Representing and Learning Temporal Relationships among Experimental Variables. TIME 1998: 148-155 - 1996
- [c3]Vanathi Gopalakrishnan:
Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS. AAAI/IAAI, Vol. 2 1996: 1391 - 1994
- [c2]Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian:
The Crystallographer's Assistant. AAAI 1994: 1451 - [c1]Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian:
Induction of Rules for Biological Macromolecular Crystallization. ISMB 1994: 179-187
Coauthor Index

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