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Title |
Author/s |
Download |
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TR-20171231
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Recent trends in antimicrobial peptide prediction using machine learning techniques
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Yash Shah,
Deepak Sehgal,
and
VK Jayaraman
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Journal
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TR-20170912
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AllerBase: a comprehensive allergen knowledgebase
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Kiran Kadam,
Rajiv Karbhal,
VK Jayaraman,
Sangeeta Sawant,
and
Urmila Kulkarni-Kale
|
Journal
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TR-20170331
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Quantitative Structure Activity Relationship study of the Anti-Hepatitis Peptides employing Random Forests and Extra-trees regressors
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Gunjan Mishra,
Deepak Sehgal,
and
VK Jayaraman
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Journal
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TR-20150210
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Hybrid ACO Chaos-Assisted Support Vector Machines for Classification of Medical Datasets
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Gunjan Mishra,
Vivek Ananth,
Kalpesh Shelke,
Deepak Sehgal,
and
VK Jayaraman
|
Proceedings
|
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TR-20130821
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Hybrid feature selection and peptide binding affinity prediction using an
EDA based algorithm
|
Kalpesh Shelke,
Shrikant Jayaraman,
Shameek Ghosh,
and
VK Jayaraman
|
Proceedings
|
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TR-20120705
|
Dynamic Optimization of Fed Batch Reactors using Biogeography-Based Optimization
|
Sarvesh Nikumbh,
Shameek Ghosh,
Mahesh Chindhe,
and
VK Jayaraman
|
Book Chapter
|
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TR-20120509
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Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests
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Sarvesh Nikumbh,
Shameek Ghosh,
and
VK Jayaraman
|
arXiv:1207.3285v1
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Proceedings
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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
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