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Vaidyanathan K. Jayaraman
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2020 – today
- 2023
- [j20]Ashwin Lahorkar
, Hrushikesh Bhosale
Identification of Phase Separating Proteins With Distributed Reduced Alphabet Representations of Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 410-420 (2023) - 2021
- [j19]Hrushikesh Bhosale, Vigneshwar Ramakrishnan
Support vector machine-based prediction of pore-forming toxins (PFT) using distributed representation of reduced alphabets. J. Bioinform. Comput. Biol. 19(5): 2150028:1-2150028:15 (2021)
2010 – 2019
- 2016
- [j18]Preethi Ranganarayanan, Narmadha Thanigesan, R. P. Vivek-Ananth
Identification of Glucose-Binding Pockets in Human Serum Albumin Using Support Vector Machine and Molecular Dynamics Simulations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 148-157 (2016) - 2014
- [c18]Gunjan Mishra, R. P. Vivek-Ananth
Hybrid ACO Chaos-Assisted Support Vector Machines for Classification of Medical Datasets. SocProS (2) 2014: 91-101 - 2013
- [c17]Kalpesh Shelke, Srikant Jayaraman, Shameek Ghosh, Valadi K. Jayaraman:
Hybrid feature selection and peptide binding affinity prediction using an EDA based algorithm. IEEE Congress on Evolutionary Computation 2013: 2384-2389 - [c16]Dattatraya Magatrao, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry:
Simultaneous gene selection and cancer classification using a hybrid group search optimizer. GECCO (Companion) 2013: 7-8 - [c15]Manish Kumar, Shameek Ghosh, Valadi K. Jayaraman, Patrick Siarry:
Simultaneous Gene Selection and Cancer Classification Using a Hybrid Intelligent Water Drop Approach. PReMI 2013: 641-646 - 2012
- [j17]Shaini Joseph, Shreyas Karnik, Pravin Nilawe, Vaidyanathan K. Jayaraman, Susan Idicula-Thomas:
ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1535-1538 (2012) - [c14]Atulji Srivastava, Saurabh Chakrabarti, Subrata Das, Shameek Ghosh, Vaidyanathan K. Jayaraman:
Hybrid Firefly Based Simultaneous Gene Selection and Cancer Classification Using Support Vector Machines and Random Forests. BIC-TA (1) 2012: 485-494 - [c13]Sarvesh Nikumbh
Biogeography-based informative gene selection and cancer classification using SVM and Random Forests. IEEE Congress on Evolutionary Computation 2012: 1-6 - [c12]Shameek Ghosh, Nayana Ramachandran, C. Venkateshwari, Vaidyanathan K. Jayaraman:
Hybrid Biogeography Based Simultaneous Feature Selection and Prediction of N-Myristoylation Substrate Proteins Using Support Vector Machines and Random Forest Classifiers. SEMCCO 2012: 364-371 - [c11]Manish Kumar, Srikant Jayaraman, Shikha Bhat, Shameek Ghosh, Vaidyanathan K. Jayaraman:
Variable Selection and Fault Detection Using a Hybrid Intelligent Water Drop Algorithm. SocProS 2012: 225-231 - [i1]Sarvesh Nikumbh, Shameek Ghosh, Valadi K. Jayaraman:
Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests. CoRR abs/1207.3285 (2012) - 2011
- [c10]K. Joshil Raj, Vidyavati S. Nayak, Valadi K. Jayaraman:
Ant Miner Based Intrusion Detection System with Various Feature Selection Algorithms. IICAI 2011: 767-786 - 2010
- [j16]Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Hybrid Support Vector Machine for imbalanced data in multiclass arrhythmia classification. Int. J. Funct. Informatics Pers. Medicine 3(1): 29-47 (2010) - [j15]Shaini Thomas, Shreyas Karnik, Ram Shankar Barai
CAMP: a useful resource for research on antimicrobial peptides. Nucleic Acids Res. 38(Database-Issue): 774-780 (2010)
2000 – 2009
- 2009
- [c9]Aniruddha J. Joshi, Sharat Chandran, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Hybrid SVM for Multiclass Arrhythmia Classification. BIBM 2009: 287-290 - [c8]Shreyas Karnik, Joydeep Mitra
Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests. PReMI 2009: 146-151 - [c7]Shreyas Karnik, Ajay Prasad, Alok Diwevedi, V. Sundararajan, Vaidyanathan K. Jayaraman:
Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers. PReMI 2009: 152-157 - 2008
- [j14]P. S. Shelokar, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Multicanonical jump walk annealing assisted by tabu for dynamic optimization of chemical engineering processes. Eur. J. Oper. Res. 185(3): 1213-1229 (2008) - [c6]Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Multifractality in arterial pulse. ICPR 2008: 1-4 - [c5]Aniruddha J. Joshi, Sharat Chandran, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Arterial Pulse Rate Variability analysis for diagnoses. ICPR 2008: 1-4 - [p2]Pankaj Kumar
Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm. Advances in Metaheuristics for Hard Optimization 2008: 251-261 - 2007
- [j13]P. S. Shelokar, Patrick Siarry, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Particle swarm and ant colony algorithms hybridized for improved continuous optimization. Appl. Math. Comput. 188(1): 129-142 (2007) - [j12]Piyushkumar A. Mundra
Using pseudo amino acid composition to predict protein subnuclear localization: Approached with PSSM. Pattern Recognit. Lett. 28(13): 1610-1615 (2007) - [c4]Rajshekhar, Ankur Gupta
Fault Diagnosis Using Dynamic Time Warping. PReMI 2007: 57-66 - [c3]Pankaj Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli. PReMI 2007: 406-415 - [p1]Ankur Gupta
Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines. Analysis of Biological Data: A Soft Computing Approach 2007: 259-280 - 2006
- [j11]Susan Idicula-Thomas, Abhijit J. Kulkarni, Bhaskar D. Kulkarni, Valadi K. Jayaraman, Petety V. Balaji
A support vector machine-based method for predicting the propensity of a protein to be soluble or to form inclusion body on overexpression in Escherichia coli. Bioinform. 22(3): 278-284 (2006) - 2005
- [j10]Onkar C. Kulkarni, R. Vigneshwar, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Identification of coding and non-coding sequences using local Hölder exponent formalism. Bioinform. 21(20): 3818-3823 (2005) - [j9]Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process. Comput. Chem. Eng. 29(10): 2128-2133 (2005) - [j8]Rajiv Kumar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples. Pattern Recognit. 38(1): 41-49 (2005) - [c2]R. Vigneshwar, Onkar C. Kulkarni, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Support Vector Indentification of Light Induced Genes from Microarray Data Incorporating Motif Information. IICAI 2005: 1565-1575 - [c1]Aniruddha J. Joshi, Rajshekhar, Sharat Chandran, Sanjay Phadke, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Arrhythmia Classification Using Local Hölder Exponents and Support Vector Machine. PReMI 2005: 242-247 - 2004
- [j7]Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Support vector classification with parameter tuning assisted by agent-based technique. Comput. Chem. Eng. 28(3): 311-318 (2004) - [j6]P. S. Shelokar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
An ant colony classifier system: application to some process engineering problems. Comput. Chem. Eng. 28(9): 1577-1584 (2004) - [j5]Rajiv Kumar, Abhijit J. Kulkarni, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Symbolization assisted SVM classifier for noisy data. Pattern Recognit. Lett. 25(4): 495-504 (2004) - 2003
- [j4]J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
A Tabu Search Based Approach for Solving a Class of Bilevel Programming Problems in Chemical Engineering. J. Heuristics 9(4): 307-319 (2003) - 2001
- [j3]J. Rajesh, Kapil Gupta, Hari Shankar Kusumakar, Vaidyanathan K. Jayaraman, Bhaskar D. Kulkarni:
Dynamic Optimization of Chemical Processes using Ant Colony Framework. Comput. Chem. 25(6): 583-595 (2001) - 2000
- [j2]R. Konnur, Valadi K. Jayaraman, Bhaskar D. Kulkarni:
Onset of resonance in chaotically driven systems. Appl. Math. Lett. 13(8): 69-75 (2000)
1990 – 1999
- 1995
- [j1]Vaidyanathan K. Jayaraman, Rajesh Srivastava:
A service logistics model for simultaneous siting of facilities and multiple levels of equipment. Comput. Oper. Res. 22(2): 191-204 (1995)
Coauthor Index
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