Vanathi Gopalakrishnan

35 papers A* 3A 2B 2C 2Misc 3Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Artificial Intelligence's Grand Challenges: Past, Present, and Future. AI Mag. Ganesh Mani, Frank Chen, Steve Cross, Thomas Kalil, Vanathi Gopalakrishnan, Francesca Rossi, Ken Stanley
2020	J	`jnl`	A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers. J. Biomed. Informatics Jeya Balaji Balasubramanian, Rebecca D. Boes, Vanathi Gopalakrishnan
2018	J	`jnl`	A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. NeuroImage Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia W. Lo, Vanathi Gopalakrishnan, Ashok Panigrahy
2017	J	`jnl`	An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data. Data Yuzhe Liu, Vanathi Gopalakrishnan
2017	J	`jnl`	Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure. Data Jonathan L. Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan
2016	J	`jnl`	Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations. Data Mahbaneh Eshaghzadeh Torbati, Makedonka Mitreva, Vanathi Gopalakrishnan
2015	J	`jnl`	Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data. BMC Bioinform. Henry Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan
2015	—	`conf`	Quantitative clinical guidelines for imaging use in evaluation of pediatric cardiomyopathy. BIBM Yuzhe Liu, Vanathi Gopalakrishnan, Shobhit Madan
2014	—	`conf`	A novel framework to enhance scientific knowledge of cardiovascular MRI biomarkers and their application to pediatric cardiomyopathy classification. IWBBIO Vanathi Gopalakrishnan, Prahlad G. Menon, Shobhit Madan
2014	Misc	`conf`	Application of Bayesian Logistic Regression to Mining Biomedical Data. AMIA Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan
2014	B	`conf`	Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework. Image Processing Prahlad G. Menon, Lailonny Morris, Mara Staines, João A. C. Lima, Daniel C. Lee, Vanathi Gopalakrishnan
2014	J	`jnl`	Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids. J. Clin. Bioinform. Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan
2012	C	`conf`	Efficient processing of models for large-scale shotgun proteomics data. CollaborateCom Himanshu Grover, Vanathi Gopalakrishnan
2011	J	`jnl`	Application of an efficient Bayesian discretization method to biomedical data. BMC Bioinform. Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan, Gregory F. Cooper
2011	J	`jnl`	Transfer learning of classification rules for biomarker discovery and verification from molecular profiling studies. J. Biomed. Informatics Philip Ganchev, David Malehorn, William L. Bigbee, Vanathi Gopalakrishnan
2010	J	`jnl`	Bayesian rule learning for biomedical data mining. Bioinform. Vanathi Gopalakrishnan, Jonathan L. Lustgarten, Shyam Visweswaran, Gregory F. Cooper
2009	J	`jnl`	Conditional Graphical Models for Protein Structural Motif Recognition. J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2009	J	`jnl`	Knowledge-based variable selection for learning rules from proteomic data. BMC Bioinform. Jonathan L. Lustgarten, Shyam Visweswaran, Robert P. Bowser, William R. Hogan, Vanathi Gopalakrishnan
2009	Misc	`conf`	Measuring Stability of Feature Selection in Biomedical Datasets. AMIA Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Shyam Visweswaran
2008	—	`conf`	An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. BIOCOMP Jonathan L. Lustgarten, Shyam Visweswaran, Himanshu Grover, Vanathi Gopalakrishnan
2008	Misc	`conf`	Improving Classification Performance with Discretization on Biomedical Datasets. AMIA Jonathan L. Lustgarten, Vanathi Gopalakrishnan, Himanshu Grover, Shyam Visweswaran
2008	—	`conf`	Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. BCBGC Himanshu Grover, Jonathan L. Lustgarten, Shyam Visweswaran, Vanathi Gopalakrishnan
2007	A*	`conf`	Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
2006	J	`jnl`	Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). J. Comput. Biol. Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2006	—	`conf`	Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. BioDM Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert P. Bowser
2006	—	`conf`	Segmentation of fMRI Data by Maximization of Region Contrast. CVPR Workshops Pinaki S. Mitra, Vanathi Gopalakrishnan, Rebecca L. McNamee
2005	B	`conf`	Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
2004	J	`jnl`	Automatic annotation of protein motif function with Gene Ontology terms. BMC Bioinform. Xinghua Lu, ChengXiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan
2004	J	`jnl`	Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinform. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2004	A*	`conf`	Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
2000	A	`conf`	Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. ISMB Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg
1998	C	`conf`	Representing and Learning Temporal Relationships among Experimental Variables. TIME Vanathi Gopalakrishnan, Bruce G. Buchanan
1996	—	`conf`	Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS. AAAI/IAAI, Vol. 2 Vanathi Gopalakrishnan
1994	A	`conf`	Induction of Rules for Biological Macromolecular Crystallization. ISMB Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian
1994	A*	`conf`	The Crystallographer's Assistant. AAAI Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian