Prasad Patil

发表

DEPTH-3 ADJACENCY CLUSTER BASED ROUTING PROTOCOL

Prasad Patil, Rinku Shah, 2012 .

A Survey on Routing Algorithms for Efficient and Optimised Railway Scheduling

Prasad Patil, Karan Mitra, Nishikant Mokashi, 2011 .

Discussion of "visualizing statistical models: Removing the blindfold"

Prasad Patil, Jeffrey T. Leek, 2015, Stat. Anal. Data Min..

Biomedical Cloud Computing With Amazon Web Services

Peter J. Tonellato, Prasad Patil, Erik Gafni, 2011, PLoS Comput. Biol..

Setting the Bar Too High? What Should Scientists Expect for Reproducibility?

Prasad Patil, 2017 .

Tree-Weighting for Multi-Study Ensemble Learners

Prasad Patil, Giovanni Parmigiani, Maya Ramchandran, 2019, bioRxiv.

Cross-study learning for generalist and specialist predictions

Prasad Patil, Lorenzo Trippa, Giovanni Parmigiani, 2020 .

Cloud computing for comparative genomics

Peter J. Tonellato, Prasad Patil, Dennis P. Wall, 2010, BMC Bioinformatics.

A statistical definition for reproducibility and replicability

Prasad Patil, Jeffrey T. Leek, Roger D. Peng, 2016, bioRxiv.

Open Access METHODOLOGY ARTICLE

Peter J. Tonellato, Prasad Patil, Dennis P. Wall, 2010 .

Test set bias affects reproducibility of gene signatures

Prasad Patil, Benjamin Haibe-Kains, Jeffrey T. Leek, 2015, Bioinform..

Tree-Weighting for Multi-Study Ensemble Learners.

Prasad Patil, Giovanni Parmigiani, Maya Ramchandran, 2019 .

Evolving Research Data Sharing Networks to Clinical App Sharing Networks

Rahul Jain, Kavishwar B. Wagholikar, Prasad Patil, 2017, CRI.

Automated Pantry Order System Using Zigbee & Android Application for Railway

Prasad Patil, Jadhav Bhagyashri Veer, Mrunali Pangare, 2017 .

Hierachical Resampling for Bagging in Multi-Study Prediction with Applications to Human Neurochemical Sensing

Prasad Patil, Giovanni Parmigiani, Gabriel C. Loewinger, 2019, bioRxiv.

Mining personalized medicine algorithms with surrogate algorithm tags

Chih-Lin Chi, Peter J. Tonellato, Prasad Patil, 2010, IHI.

Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects pdf

Prasad Patil, Zoe Guan, Giovanni Parmigiani, 2019, ArXiv.

Measuring the Contribution of Genomic Predictors to Improving Estimator Precision in Randomized trials

Prasad Patil, Jeffrey T. Leek, Michael Rosenblum, 2015, bioRxiv.

Avoiding test set bias with rank-based prediction

Prasad Patil, Benjamin Haibe-Kains, Jeffrey T. Leek, 2014, bioRxiv.

Robustifying Genomic Classifiers To Batch Effects Via Ensemble Learning.

Prasad Patil, Giovanni Parmigiani, Yuqing Zhang, 2020, Bioinformatics.

Reliable supply chain network design model: Development and analysis

Prasad Patil, R. Sridharan, C. R. Vishnu, 2018 .

Evaluation of SMART-on-FHIR I2b2 cell using PCORNET data model

Rahul Jain, Kavishwar B. Wagholikar, Prasad Patil, 2016, AMIA.

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations pdf

Prasad Patil, Cynthia Dwork, Giovanni Parmigiani, 2020, ArXiv.

Training replicable predictors in multiple studies

Prasad Patil, Giovanni Parmigiani, G. Parmigiani, 2018, Proceedings of the National Academy of Sciences.

Enhanced Novel Security Scheme for Wireless Adhoc Networks: ENSS

Prasad Patil, Rinku Shah, Kajal Jewani, 2012 .

Fragile Watermarking Scheme for Image Tamper Detection

Prasad Patil, Shefali Sonavane, 2011, 2011 International Conference on Communication Systems and Network Technologies.

A visual tool for defining reproducibility and replicability

Prasad Patil, Jeffrey T. Leek, Roger D. Peng, 2019, Nature Human Behaviour.

Publisher Correction: A visual tool for defining reproducibility and replicability

Prasad Patil, Jeffrey T Leek, Roger D Peng, 2019, Nature Human Behaviour.

Novel Approach for Routing in MANET:NARM

Prasad Patil, Rinku Shah, 2012 .

A glass half full interpretation of the replicability of psychological science

Prasad Patil, Jeffrey T. Leek, Roger D. Peng, 2015, 1509.08968.