Valadi K. Jayaraman

20 papers B 4Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ashwin Lahorkar, Hrushikesh Bhosale, Aamod Sane, Vigneshwar Ramakrishnan, Valadi K. Jayaraman
2021 J jnl
Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets.
J. Bioinform. Comput. Biol.
Hrushikesh Bhosale, Vigneshwar Ramakrishnan, Valadi K. Jayaraman
2016 J jnl
Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Preethi Ranganarayanan, Narmadha Thanigesan, R. P. Vivek-Ananth, Valadi K. Jayaraman, Vigneshwar Ramakrishnan
2014 — conf
Hybrid ACO Chaos-Assisted Support Vector Machines for Classification of Medical Datasets.
SocProS (2)
Gunjan Mishra, R. P. Vivek-Ananth, Kalpesh Shelke, Deepak Sehgal, Valadi K. Jayaraman
2013 B conf
Hybrid feature selection and peptide binding affinity prediction using an EDA based algorithm.
IEEE Congress on Evolutionary Computation
Kalpesh Shelke, Srikant Jayaraman, Shameek Ghosh, Valadi K. Jayaraman
2013 — conf
Simultaneous Gene Selection and Cancer Classification Using a Hybrid Intelligent Water Drop Approach.
PReMI
Manish Kumar, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry
2013 — conf
Simultaneous gene selection and cancer classification using a hybrid group search optimizer.
GECCO (Companion)
Dattatraya Magatrao, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry
2012 J jnl
Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests
CoRR
Sarvesh Nikumbh, Shameek Ghosh, Valadi K. Jayaraman
2012 B conf
Biogeography-based informative gene selection and cancer classification using SVM and Random Forests.
IEEE Congress on Evolutionary Computation
Sarvesh Nikumbh, Shameek Ghosh, Valadi K. Jayaraman
2011 — conf
Ant Miner Based Intrusion Detection System with Various Feature Selection Algorithms.
IICAI
K. Joshil Raj, Vidyavati S. Nayak, Valadi K. Jayaraman
2008 — ch.
Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm.
Advances in Metaheuristics for Hard Optimization
Pankaj Kumar, Ankur Gupta, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 B conf
Arterial Pulse Rate Variability analysis for diagnoses.
ICPR
Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 J jnl
Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes.
Eur. J. Oper. Res.
P. S. Shelokar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2008 B conf
Multifractality in arterial pulse.
ICPR
Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2007 J jnl
Particle swarm and ant colony algorithms hybridized for improved continuous optimization.
Appl. Math. Comput.
P. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2007 J jnl
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM.
Pattern Recognit. Lett.
Piyushkumar A. Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2006 J jnl
A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in
Bioinform.
Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji
2005 J jnl
Identification of coding and non-coding sequences using local Hölder exponent formalism.
Bioinform.
Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2005 — conf
Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information.
IICAI
R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni
2000 J jnl
Onset of resonance in chaotically driven systems.
Appl. Math. Lett.
R. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni