| Knowledge incorporated support vector machines to detect faults in Tennessee Eastman Process A Kulkarni, VK Jayaraman, BD Kulkarni Computers & chemical engineering 29 (10), 2128-2133, 2005 | 159 | 2005 |
| 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 S Idicula-Thomas, AJ Kulkarni, BD Kulkarni, VK Jayaraman, PV Balaji Bioinformatics 22 (3), 278-284, 2006 | 138 | 2006 |
| Support vector classification with parameter tuning assisted by agent-based technique A Kulkarni, VK Jayaraman, BD Kulkarni Computers & chemical engineering 28 (3), 311-318, 2004 | 80 | 2004 |
| Control of chaotic dynamical systems using support vector machines A Kulkarni, VK Jayaraman, BD Kulkarni Physics Letters A 317 (5-6), 429-435, 2003 | 48 | 2003 |
| Optimal xylanase production using Penicilium janthinellum NCIM 1169: A model based approach M Meshram, A Kulkarni, VK Jayaraman, BD Kulkarni, SS Lele Biochemical engineering journal 40 (2), 348-356, 2008 | 27 | 2008 |
| Symbolization assisted SVM classifier for noisy data R Kumar, A Kulkarni, VK Jayaraman, BD Kulkarni Pattern Recognition Letters 25 (4), 495-504, 2004 | 22 | 2004 |
| Metaheuristics in process engineering: A historical perspective P Shelokar, A Kulkarni, VK Jayaraman, P Siarry Applications of Metaheuristics in Process Engineering, 1-38, 2014 | 10 | 2014 |
| Structure-Activity Relationships using Locally Linear Embedding Assisted by Support Vector and Lazy Learning Regressors R Kumar, A Kulkarni, VK Jayaraman, BD Kulkarni Internet Electron. J. Mol. Des 3 (3), 118-133, 2004 | 10 | 2004 |
| A partial Granger causality based method for analysis of parameter interactions in bioreactors R Krishna, S Nanda, A Kulkarni, S Patil Computers & chemical engineering 35 (1), 121-126, 2011 | 6 | 2011 |
| Review on lazy learning regressors and their applications in QSAR AJ Kulkarni, VK Jayaraman, BD Kulkarni Combinatorial Chemistry & High Throughput Screening 12 (4), 440-450, 2009 | 6 | 2009 |
| Nonlinear signal analysis to understand the dynamics of the protein sequences S Angadi, A Kulkarni The European Physical Journal-Special Topics 164 (1), 141-155, 2008 | 6 | 2008 |
| A simple visualization technique to understand the system dynamics in bioreactors KR Patil, AJ Kulkarni Biotechnology progress 23 (5), 1101-1105, 2007 | 4 | 2007 |
| Memory Based Local Learning: Application to Process Engineering Problems AJ Kulkarni, SV Patil, VK Jayaraman, BD Kulkarni International Journal of Chemical Reactor Engineering 1 (1), 2003 | 3 | 2003 |
| Analysis of intrinsically disordered regions in proteins using recurrence quantification analysis A Kulkarni, S Karnik, S Angadi International Journal of Bifurcation and Chaos 21 (04), 1193-1202, 2011 | 2 | 2011 |
| Fuzzy pattern extraction for classification of protein sequences A Kulkarni, A Noronha, S Roy, S Angadi Proceedings of the International Symposium on Biocomputing, 1-4, 2010 | 2 | 2010 |
| Kernel-enabled methods for subspace regression and efficient control K Patil, A Kulkarni International Journal of Modelling, Identification and Control 5 (2), 136-145, 2008 | 1 | 2008 |
| Investigating Alternative Rotor Materials to Increase Displacement and Efficiency of Screw Compressor While Considering Cost and Manufacturability A Kumar, K Patil, A Kulkarni, S Patil International Conference on Compressors and their Systems, 115-125, 2023 | | 2023 |
| Studies on some new learning paradigms to process engineering AJ Kulkarni Pune, 2006 | | 2006 |
| Metaheuristics in Process Engineering P Shelokar, A Kulkarni, VK Jayaraman, P Siarry | | |
