Vanathi Gopalakrishnan

Publication Activity (10 Years)

Years Active: 1994-2021
Publications (10 Years): 8

Top Topics

Grand Challenges

Biomedical Data

Gene Expression

Top Venues

Publications

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) (2021)
Jeya Balaji Balasubramanian, Rebecca D. Boes, Vanathi Gopalakrishnan
A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers. J. Biomed. Informatics 107 (2020)
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 (2018)
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) (2017)
Yuzhe Liu, Vanathi Gopalakrishnan
An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data. Data 2 (1) (2017)
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) (2016)
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 (2015)
Yuzhe Liu, Vanathi Gopalakrishnan, Shobhit Madan
Quantitative clinical guidelines for imaging use in evaluation of pediatric cardiomyopathy. BIBM (2015)
Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan
Application of Bayesian Logistic Regression to Mining Biomedical Data. AMIA (2014)
Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan
Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. 4 (2014)
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)
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. Medical Imaging: Image Processing (2014)
Himanshu Grover, Vanathi Gopalakrishnan
Efficient processing of models for large-scale shotgun proteomics data. CollaborateCom (2012)
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) (2011)
Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper
Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. 12 (2011)
Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper
Bayesian rule learning for biomedical data mining. Bioinform. 26 (5) (2010)
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) (2009)
Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
Conditional Graphical Models for Protein Structural Motif Recognition. J. Comput. Biol. 16 (5) (2009)
Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran
Measuring Stability of Feature Selection in Biomedical Datasets. AMIA (2009)
Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan
An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP (2008)
Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan
Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC (2008)
Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, Shyam Visweswaran
Improving Classification Performance with Discretization on Biomedical Datasets. AMIA (2008)
Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI (2007)
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). J. Comput. Biol. 13 (2) (2006)
Pinaki S. Mitra, Vanathi Gopalakrishnan, Rebecca L. McNamee
Segmentation of fMRI Data by Maximization of Region Contrast. CVPR Workshops (2006)
Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert P. Bowser
Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. BioDM (2006)
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB (2005)
Xinghua Lu, Chengxiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan
Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. 5 (2004)
Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinform. 20 (17) (2004)
Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR (2004)
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. ISMB (2000)
Vanathi Gopalakrishnan, Bruce G. Buchanan
Representing and Learning Temporal Relationships among Experimental Variables. TIME (1998)
Vanathi Gopalakrishnan
Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS. AAAI/IAAI, Vol. 2 (1996)
Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian
Induction of Rules for Biological Macromolecular Crystallization. ISMB (1994)
Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian
The Crystallographer's Assistant. AAAI (1994)