| 2018 | ||
|---|---|---|
| 1. | Jindal, Aashi, Prashant Gupta, Jayadeva and Debarka Sengupta. "Discovery of rare cells from voluminous single cell expression data." Nature Communications 9.1 (2018): 4719. | link |
| 2. | Jayadeva, S. Soman, Soumya Saxena. "Eigensample: A non-iterative technique for adding samples to small datasets." Applied Soft Computing 70 (2018): 1064-1077. | link |
| 3. | Jayadeva, Sharma, Mayank, Sumit Soman, and Himanshu Pant. "Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space." Neural Processing Letters (2018): 1-33. | link |
| 4. | Jayadeva, Udit Kumar, and Sumit Soman. "Eigen-MM: EigenAnt Modified Mtsls1 for local search." Swarm and Evolutionary Computation (2018). | link |
| 5. | Sharma, Mayank, Sumit Soman, Jayadeva and Himanshu Pant. "Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines." 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. | link |
| 6. | Pant, Himanshu, Sumit Soman, Jayadeva and Mayank Sharma. "Twin Neural Networks for Efficient EEG Signal Classification." 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. | link |
| 2017 | ||
| 1. | Pawas Gupta, Sanjit S. Batra, Jayadeva, "Sparse short-term time series forecasting models via minimum model complexity", Neurocomputing, Volume 243, 21 June 2017, Pages 1-11, ISSN 0925-2312 | link |
| 2. | M. Sharma, Jayadeva, S. Soman, H. Pant, "Large-Scale Minimal Complexity Machines Using Explicit Feature Maps," in IEEE Transactions on Systems, Man, and Cybernetics: Systems , vol. 47(10), pp.2653-2662. | link |
| 2016 | ||
| 1. | Jayadeva, Suresh Chandra, Sanjit S. Batra, and Siddharth Sabharwal. "Learning a hyperplane regressor through a tight bound on the VC dimension." Neurocomputing 171 (2016): 1610-1616. | link |
| 2. | Kumar, Udit, Sumit Soman and Jayadeva. "Benchmarking NLopt and state-of-the-art algorithms for continuous global optimization via IACOR." Swarm and Evolutionary Computation 27 (2016): 116-131. | link |
| 3. | Soman, Sumit, Jayadeva, Sridhar Arjunan and Dinesh Kant Kumar, “Improved sEMG Signal Classification using the Twin SVM.” IEEE International Conference on Systems, Man & Cybernetics (SMC 2016), IEEE, 2016. | link |
| 4. | Kumar, Udit, Sumit Soman and Jayadeva, “EigenAnt assisted IACOR for continuous global optimization.” IEEE International Conference on Systems, Man & Cybernetics (SMC 2016), IEEE, 2016. | link |
| 5. | Soman, Sumit, Jayadeva and Manan Suri, “Recent Trends in Neuromorphic Engineering.” Big Data Analytics, BioMed Central, 2016. | link |
| 6. | Jayadeva, Sumit Soman and Suresh Chandra, “The Twin SVM Minimizes the Total Risk”, Pattern Recognition and Big Data, ch. 12, World Scientific, 2016. | link |
| 7. | Jayadeva, Reshma Khemchandani and Suresh Chandra, “Twin Support Vector Machines: Models, Extensions and Applications”, Studies in Computational Intelligence, Springer-Verlag, 2016/2017. | link |
| 2015 | ||
| 1. | Jayadeva. "Learning a hyperplane classifier by minimizing an exact bound on the VC dimensioni." Neurocomputing 149 (2015): 683-689. | link |
| 2. | Soman, Sumit and Jayadeva. "High performance EEG signal classification using classifiability and the Twin SVM." Applied Soft Computing 30 (2015): 305-318. | link |
| 3. | Jayadeva, Sumit Soman and Amit Bhaya. "The MC-ELM: Learning an ELM-like network with minimum VC dimension." 2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. | link |
| 4. | Kumar, Udit, Jayadeva and Sumit Soman. "Enhancing Incremental Ant Colony Algorithm for Continuous Global Optimization." Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation. ACM, 2015. | link |
| 5. | Kumar, Udit, Jayadeva and Sumit Soman. "Enhancing IACO R Local Search by Mtsls1-BFGS for Continuous Global Optimization." Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. ACM, 2015. | link |
| 2014 | ||
| 1. | Bliman, P-A., Amit Bhaya, Eugenius Kaszkurewicz and Jayadeva. "Convergence results for continuous-time dynamics arising in ant colony optimization." IFAC Proceedings Volumes 47.3 (2014): 7031-7036. | link |
| 2. | Kaszkurewicz, Eugenius, Amit Bhaya, Jayadeva and João Marcos Meirelles da Silva. "The Coupled EigenAnt algorithm for shortest path problems." 2014 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2014. | link |
| 2013 | ||
| 1. | A. Tan, D. K. Kumar, S. P. Arjunan and Jayadeva, "Computation and study of the low-frequency oscillation of surface electromyogram recorded in biceps during isometric upper limb contraction," 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, 2013, pp. 2128-2131. | link |
| 2. | Ikonomidou, Vasiliki N., Jayadeva, Robert W. Newcomb, and Mona Zaghloul. "Biomedical sensor properties of flexible PolyVinyliDene flouride." Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments. ACM, 2013. | link |
| 2012 | ||
| 1. | Sachindra Joshi, Jayadeva, Ganesh Ramakrishnan, Suresh Chandra, Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers, Neurocomputing, Volume 77, Issue 1, 2012, Pages 253-260, ISSN 0925-2312. | link |
| 2011 | ||
| 1. | Jayadeva, S. Shah, R. Kothari and S. Chandra, "Debugging ants: How ants find the shortest route," 2011 8th International Conference on Information, Communications & Signal Processing, Singapore, 2011, pp. 1-5. | link |
| 2. | Mittul Singh, Jivitej Chadha, Puneet Ahuja, Jayadeva, Suresh Chandra, Reduced twin support vector regression, Neurocomputing, Volume 74, Issue 9, 2011, Pages 1474-1477, ISSN 0925-2312. | link |
| 2010 | ||
| 1. | G. R. Naik, D. K. Kumar and Jayadeva, "Twin SVM for Gesture Classification Using the Surface Electromyogram," in IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 2, pp. 301-308, March 2010. | link |
| 2. | Reshma Khemchandani, Jayadeva, Suresh Chandra, Learning the optimal kernel for Fisher discriminant analysis via second order cone programming, European Journal of Operational Research, Volume 203, Issue 3, 2010, Pages 692-697, ISSN 0377-2217. | link |
| 2009 | ||
| 1. | Reshma Khemchandani, Jayadeva, Suresh Chandra, Knowledge based proximal support vector machines, European Journal of Operational Research, Volume 195, Issue 3, 2009, Pages 914-923, ISSN 0377-2217. | link |
| 2. | Reshma Khemchandani, Jayadeva, Suresh Chandra, Regularized least squares fuzzy support vector regression for financial time series forecasting, Expert Systems with Applications, Volume 36, Issue 1, 2009, Pages 132-138, ISSN 0957-4174. | link |
| 2008 | ||
| 1. | Jayadeva, Reshma Khemchandani, Suresh Chandra, Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives, Information Sciences, Volume 178, Issue 17, 2008, Pages 3402-3414, ISSN 0020-0255. | link |
| 2. | V. Girish, Jayadeva, S. Nooshabadi, Design methodology for configurable analog to digital conversion using support vector machines, Microelectronics Journal, Volume 39, Issue 5, 2008, Pages 822-827, ISSN 0026-2692. | link |
| 2007 | ||
| 1. | Jayadeva, R. Khemchandani and S. Chandra, "Twin Support Vector Machines for Pattern Classification," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 5, pp. 905-910, May 2007. | link |
| 2. | A. K. Deb, Jayadeva, M. Gopal and S. Chandra, "SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control," in IEEE Transactions on Neural Networks, vol. 18, no. 4, pp. 1016-1030, July 2007. | link |
| 2006 | ||
| 1. | Jayadeva, R. Khemchandani and S. Chandra, "Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative," The 2006 IEEE International Joint Conference on Neural Network Proceedings, Vancouver, BC, 2006, pp. 1192-1197. | link |
| 2. | Jayadeva, A. K. Deb, R. Khemchandani and S. Chandra, "Regularized Least Squares Potential SVRs," 2006 Annual IEEE India Conference, New Delhi, 2006, pp. 1-5. | link |
| 3. | Jayadeva, S. Shah and S. Chandra, "Learning To Optimize Constrained Problems," 2006 Annual IEEE India Conference, New Delhi, 2006, pp. 1-4. | link |
| 4. | Jayadeva, R. Khemchandani and S. Chandra, "Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting," The 2006 IEEE International Joint Conference on Neural Network Proceedings, Vancouver, BC, 2006, pp. 593-598. | link |
| 5. | Jayadeva, S. Shah and S. Chandra, "Learning To Optimize VLSI Design Problems," 2006 Annual IEEE India Conference, New Delhi, 2006, pp. 1-4. | link |
| 2005 | ||
| 1. | Jayadeva, Reshma Khemchandani, Suresh Chandra, Fuzzy linear proximal support vector machines for multi-category data classification, Neurocomputing, Volume 67, 2005, Pages 426-435, ISSN 0925-2312. | link |
| 2004 | ||
| 1. | Jayadeva and S. A. Rahman, "A neural network with O(N) neurons for ranking N numbers in O(1/N) time," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 51, no. 10, pp. 2044-2051, Oct. 2004. | link |
| 2. | Jayadeva, Reshma Khemchandani, Suresh Chandra, Fast and robust learning through fuzzy linear proximal support vector machines, Neurocomputing, Volume 61, 2004, Pages 401-411, ISSN 0925-2312. | link |
| 2002 | ||
| 1. | S. Bhardwaj and Jayadeva, "Sequential chaotic annealing neural network for CDMA multiuser detection," Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on, 2002, pp. 2176-2180 vol.5. | link |
| 2. | Jayadeva, A. K. Deb and S. Chandra, "Binary classification by SVM based tree type neural networks," Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on, Honolulu, HI, 2002, pp. 2773-2778. | link |
| 3. | Jayadeva, A. K. Deb and S. Chandra, "Algorithm for building a neural network for function approximation," in IEE Proceedings - Circuits, Devices and Systems, vol. 149, no. 56, pp. 301-307, Oct/Dec 2002. | link |
| 4. | A. Varma and Jayadeva, "A novel digital neural network for the travelling salesman problem," Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on, 2002, pp. 1320-1324 vol.3. | link |
| 1999 | ||
| 1. | Jayadeva, "Sequential chaotic annealing and its application to multilayer channel routing," Proceedings Twelfth International Conference on VLSI Design. (Cat. No.PR00013), Goa, 1999, pp. 570-573. | link |
| 2. | Jayadeva, S. C. Dutta Roy and A. Chaudhary, "Compact analogue neural network: a new paradigm for neural based combinatorial optimisation," in IEE Proceedings - Circuits, Devices and Systems, vol. 146, no. 3, pp. 111-116, Aug 1999. | link |
| 3. | S. A. Rahman, Jayadeva and S. C. Dutta Roy, "Neural network approach to graph colouring," in Electronics Letters, vol. 35, no. 14, pp. 1173-1175, 8 Jul 1999. | link |
| 1998 | ||
| 1. | Jayadeva, S. C. Dutta Roy and A. Chaudhary, "The compact analog neural network-model of a new paradigm for neural based optimization, and its hardware realization," TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control, New Delhi, 1998, pp. 25-28 vol.1. | link |
| 2. | A. Chaudhary, Jayadeva and S. C. Dutta Roy, "Digital pulse logic-a new paradigm for the hardware realization of combinational and sequential digital logic," TENCON '98. 1998 IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control, New Delhi, 1998, pp. 124-127 vol.1. | link |
| 1991 | ||
| 1. | Jayadeva and B. Bhaumik, "Comments on "A naive approach to global optimization" by L.O. Chua," in IEEE Transactions on Circuits and Systems, vol. 38, no. 7, pp. 818-820, July 1991. | link |
| 1990 | ||
| 1. | Jayadeva, "A new systolic design for digital IIR filters," in IEEE Transactions on Circuits and Systems, vol. 37, no. 5, pp. 653-654, May 1990. | link |