| Document |
Title |
Author/s |
Download |
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TR-20171231
|
Recent trends in antimicrobial peptide prediction using machine learning techniques
|
Yash Shah,
Deepak Sehgal,
and
VK Jayaraman
|
Journal
|
|
TR-20170912
|
AllerBase: a comprehensive allergen knowledgebase
|
Kiran Kadam,
Rajiv Karbhal,
VK Jayaraman,
Sangeeta Sawant,
and
Urmila Kulkarni-Kale
|
Journal
|
|
TR-20170331
|
Quantitative Structure Activity Relationship study of the Anti-Hepatitis Peptides employing Random Forests and Extra-trees regressors
|
Gunjan Mishra,
Deepak Sehgal,
and
VK Jayaraman
|
Journal
|
|
TR-20150210
|
Hybrid ACO Chaos-Assisted Support Vector Machines for Classification of Medical Datasets
|
Gunjan Mishra,
Vivek Ananth,
Kalpesh Shelke,
Deepak Sehgal,
and
VK Jayaraman
|
Proceedings
|
|
TR-20130821
|
Hybrid feature selection and peptide binding affinity prediction using an
EDA based algorithm
|
Kalpesh Shelke,
Shrikant Jayaraman,
Shameek Ghosh,
and
VK Jayaraman
|
Proceedings
|
|
TR-20120705
|
Dynamic Optimization of Fed Batch Reactors using Biogeography-Based Optimization
|
Sarvesh Nikumbh,
Shameek Ghosh,
Mahesh Chindhe,
and
VK Jayaraman
|
Book Chapter
|
|
TR-20120509
|
Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests
|
Sarvesh Nikumbh,
Shameek Ghosh,
and
VK Jayaraman
|
arXiv
•
Proceedings
|
|
TR-20110401
|
Predicting odor concentration from mass spectra using random forests
|
A.M. Bhagwat,
J. Van Durme,
VK Jayaraman,
Mihir Arjunwadkar,
and
B. De Baets
|
See Contact
|
