Selected Publications

Conferences:

  1. Vasiliki N. Ikonomidou, Jayadeva, Robert W. Newcomb, and Mona Zaghlould, “Biomedical Sensor Properties of Flexible PolyVinyliDene Flouride”, Proc. International Conference on PErvasive Technologies Related to Assistive Environments, 2013.
  2. Jayadeva, S. Shah, R. Kothari, and S. Chandra, “Debugging Ants: How ants find the shortest route” International Conference on Information, Communications, and Signal Processing, Singapore, 2011.   (Invited talk on the topic also delivered at the conference)
  3. Shah, S., Jayadeva, Kothari, R., Chandra, S., “M-unit Eigenant: An ant algorithm to find the M best solutions”, AAAI Conference on Artificial Intelligence – 2011, pp. 732-737.
  4. Jayadeva, Shah, S., Chandra, S., “Kernel optimization using a generalized eigenvalue approach”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5909 LNCS, pp. 32-37, 2009. Also in PREMI 2009.
  5. Jayadeva, Sameena Shah, Suresh Chandra, “Kernel Optimization Using a Generalized Eigenvalue Approach”, Proc. International Conf. on Pattern Recognition and Machine Learning-2009, pp. 32-37, 2009. Also in LNCS series.
  6. Jayadeva, Sameena Shah, Suresh Chandra, “Zero Norm Least Squares Proximal SVR”, Proc. International Conf. on Pattern Recognition and Machine Learning-2009, pp. 38-43, 2009.
  7. Shah, S., Kothari, R., Jayadeva, J., Chandra, S., “Mathematical modeling and convergence analysis of trail formation”, Proceedings of the National Conference on Artificial Intelligence, 1, pp. 170-175, 2008.
  8. Sameena Shah, Ravi Kothari, Jayadeva, and Suresh Chandra, “Mathematical Modelling and Convergence Analysis of Trail Forming behaviour of Ants”, Proc. 23rd AAAI Conference on Artificial Intelligence, Helsinki, pp. 1-6, 2008.
  9. Reshma Khemchandani, Jayadeva, and Suresh Chandra, “Incremental Twin Support Vector Machines for Pattern Classification”, Proc. International Conference on Modeling, Computation and Optimization, Jan 9-10, 2008.
  10. Reshma Khemchandani, Jayadeva, and Suresh Chandra, “Fuzzy Twin Support Vector Machines for Pattern Classification”, in Mathematical Programming and Game Theory for Decision Making, World Scientific, 2007.
  11. Jayadeva, A. K. Deb, R. Kemchandani, and S. Chandra, “Regularized Least Squares Potential Support Vector Machines” Proc. IEEE Annual India Conference, Sept. 2006.
  12. Jayadeva, S. Shah, and S. Chandra, “Learning To Optimize Constrained Problems”, Proc. IEEE Annual India Conference, Sept. 2006.
  13. Jayadeva, S. Shah, and S. Chandra, “Learning To Optimize VLSI Design Problems”, Proc. IEEE Annual India Conference, Sept. 2006.
  14. Jayadeva, Reshma Khemchandani and Suresh Chandra, “Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting”, Proc. IJCNN’06: International Joint Conference on Neural Networks, Vancouver, 16-21 July 2006, pp. 593-598.
  15. Jayadeva, Reshma Khemchandani and Suresh Chandra, “Regularized Least Squares Twin SVR for the Simultaneous Learning of a Function and its Derivative”, Proc. IJCNN’06: International Joint Conference on Neural Networks, Vancouver, 16-21 July 2006, pp. 1192-1197.
  16. S. Shah, Jayadeva, S. Chandra, “Zero Norm Least Squares Proximal Regression”, Workshop on Mathematical Programming in Data Mining and Machine Learning, McMaster University, Ontario, Canada, June 1-4, 2005.
  17. Reshma Khemchandani, Jayadeva, and Suresh Chandra, “Potential Proximal Support Vector Machines for Data Classification”, Workshop on Mathematical Programming in Data Mining and Machine Learning, McMaster University, Ontario, Canada, June 1-4, 2005.
  18. Jayadeva, Reshma Khemchandani, and Suresh Chandra, “Fuzzy Proximal Support Vector Classification via Generalized Eigenvalues”, International Conference on Pattern Recognition and Machine Learning, ISI Calcutta, Lectures Notes in Computer and System Sciences, 3776, (2005) pp 360-363. Also published in Proc. PreMI 2005, Calcutta.
  19. S. Chakrabartty, G. Cauwenberghs, and Jayadeva, “Sparse Probability Regression by Label Partitioning”, Proc. Computational Learning Theory – 2003, pp. 231-242.
  20. Sumit Bharadwaj and Jayadeva, “Sequential Chaotic Annealing Neural Network for CDMA Multiuser Detection”, International Conference on Neural Information Processing 2002, Singapore.
  21. Ankush Verma and Jayadeva, “A Novel Digital Neural Network For The Travelling Salesman Problem”, International Conference on Neural Information Processing 2002, Singapore.
  22. Jayadeva, Alok Kanti Deb, and Suresh Chandra, “Binary Classification by SVM Based Tree Type Neural Networks”, International Joint Conference on Neural Networks 2002, May 12-17, 2002, Hawaii.
  23. A.K. Deb, Jayadeva, S. Chandra, and M. Gopal, “Modified Growth Network for Pattern Classification”, 6th International Conference of the Association of Asia-Pacific Operational Research Societies, New Delhi, 2003.
  24. S. Chakrabartty, G. Cauwenberghs, and Jayadeva, “Sparse Probability Regression by Label Partitioning”, Proc. Computational Learning Theory – 2003, pp. 231-242.
  25. T. Deb Barma, Jayadeva, and B.N. Mallik, “Simulation of a Neural Network Model for REM Sleep Generation Based on In-Vivo Data”, National Brain Research Centre Symposium, 2003.
  26. Jayadeva and Alok Kanti Deb, “Learning Sequences Using Tree Type Neural Networks”, VI International Conference on Cognitive and Neural Systems, May 29-June 1, 2002, Boston.
  27. Arindam Chakraborthy and Jayadeva, “A Novel Digital Neural Network for Graph Colouring”, Proceedings of the VI International Conference on Control, Automation, Robotics, and Vision, Singapore, December 2000.
  28. Jayadeva, “Solving the Shortest Path Problem with Neural Networks”, Proceedings of the VI National Conference on Communications-2000, pp. 373-376, 2000.
  29. Jayadeva, B.N. Mallick, et.al., “A Study of Neuronal Firing Patterns in Sleep and Wakefulness”, Poster Paper at the National Brain Research Centre Colloquium on Brain Research, New Delhi, October 1-3, 1999.
  30. A. Devi, Jayadeva, and B.S. Panwar, “Extracting the Coupling of Modes Parameters for Surface Acoustic Wave Devices”, Proceedings of the International Conference and Exhibition on Ultrasonics, pp. 152-155, New Delhi, 1999
  31. S. Singh, Jayadeva, and B.S. Panwar, “Application of Linear Programming in the Design of SAW Filters”, Proceedings of the International Conference and Exhibition on Ultrasonics, pp. 144-147, New Delhi, 1999.
  32. Jayadeva, “Sequential Chaotic Annealing and its Application to Multilayer Channel Routing”, Proceedings of VLSI 99: The 12th International Conference on VLSI Design, pp. 570-573, 1999.

 

Journals:

  1. Jayadeva, S. Shah, A. Bhaya, R. Kothari, and S. Chandra. “Ants find the shortest path: a mathematical proof.” Swarm Intelligence, Volume 7, Issue 1, 2013, Pages 43-62.
  2. S. Joshi, Jayadeva, G. Ramakrishnan, and S. Chandra, “Using Sequential Unconstrained Minimization Techniques to simplify SVM solvers”, Neurocomputing, 77(1), pp. 253-260, 2012.
  3. Singh, M., Chadha, J., Ahuja, P., Jayadeva, Chandra, S., Reduced twin support vector regression, Neurocomputing, 74(9), 1474-1477, 2011.
  4. Naik, G.R., Kumar, D.K., Jayadeva, Twin SVM for gesture classification using the surface electromyogram, IEEE Transactions on Information Technology in Biomedicine, 14(2), 2010, pp. 301-308.
  5. G.R. Naik, D.K. Kumar, and Jayadeva, “Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognition”, Biomedizinische Technik, 55 (5), pp. 301-307, 2010.
  6. R. Khemchandani, Jayadeva, and S. Chandra, “Learning the optimal kernel for Fisher discriminant analysis via second order cone programming”, European Journal of Operational Research, 203 (3), pp. 692-697, 2010.
  7. S. Shah, R. Kothari, Jayadeva, and S. Chandra, “Trail formation in ants. A generalized Polya urn process”, Swarm Intelligence, 4 (2), pp. 145-171, 2010.
  8. Jayadeva, Sameena Shah, and Suresh Chandra, “Learning Unconstrained Global Optimization Through a Support Vector Machine based Adaptive Multistart Strategy”, chapter in Y. Tenne and C.-K. Goh (Eds.): Computational Intelligence in Optimization, ALO 7, Springer Verlag, pp. 131–154, 2010.   (Invited Book chapter)
  9. R. Khemchandani, Jayadeva, and S. Chandra, “Knowledge based proximal support vector machines”, European Journal of Operational Research, 195 (3), pp. 914-923, 2009.
  10. R. Khemchandani, Jayadeva, and S. Chandra, “Regularized least squares fuzzy support vector regression for financial time series forecasting”, Expert Systems with Applications, 36 (1), pp. 132-138, 2009.
  11. Khemchandani, R., Jayadeva, Chandra, S., “Optimal kernel selection in twin support vector machines”, Optimization Letters, 3 (1), pp. 77-88, 2009.
  12. Jayadeva, Reshma Khemchandani and Suresh Chandra, “Regularized Least Squares Support Vector Regression for the Simultaneous Learning of a Function and its Derivatives”, Information Sciences, 178, No. 17, pp. 3402-3414, 2008.
  13. Reshma Khemchandani, Jayadeva, and Suresh Chandra, “Linear Potential Proximal Support Vector Machines for Data Classification”, Optimization Methods and Software, 23. No. 4, pp. 491-500, 2008.
  14. V. Girish, Jayadeva, and S. Nooshabadi, “Design Methodology for Configurable Analog to Digital Conversion Using Support Vector Machines”, Microelectronics Journal, 39, No. 5, pp. 822-827, May 2008.
  15. Alok Kanti Deb, Jayadeva, Madan Gopal, and Suresh Chandra, “SVM based Tree type Neural Networks as a Critic in Adaptive Critic designs for Control”, IEEE Trans. Neural Networks, 18, No. 4, pp. 1016-1030, July 2007.
  16. Jayadeva, Reshma Khemchandani, and Suresh Chandra, “Twin Support Vector Machines for Pattern Classification”, IEEE Trans. Pattern Analysis and Machine Intelligence, 29, No. 5, pp. 905-911, 2007.  (Citation count of 140+)
  17. Jayadeva, Reshma Khemchandani, and Suresh Chandra, “Fuzzy Multicategory Proximal Support Vector Classification via Generalized Eigenvalues”, Soft Computing, 11, No. 7 , pp. 679-685, May 2007.
  18. Jayadeva, Reshma Khemchandani, and Suresh Chandra, “Fuzzy Linear Proximal Support Vector Machines for Multicategory Data Classification”, Neurocomputing, 67, pp 426-435, 2005.
  19. Jayadeva, Reshma Khemchandani, and Suresh Chandra, “Fast and robust learning through fuzzy linear proximal support vector machines”, Neurocomputing, 61, pp 401-411, 2004.
  20. Jayadeva and S.A. Rahman, “A neural network with O(N) neurons for ranking N numbers in O(1/N) time”, IEEE Transactions on Circuits and Systems I: Regular Papers, 51 (10), pp. 2044-2051.
  21. R. Chattopadhyay, A. Guha, and Jayadeva, “Performance of neural networks for predicting yarn properties using principal component analysis”, Journal of Applied Polymer Science, 91 (3), pp. 1746-1751, 2004.
  22. Jayadeva, A.K. Deb, and S. Chandra, “Algorithm for building a neural network for function approximation”, IEE Proceedings: Circuits, Devices and Systems, 149 (5-6), pp. 301-307, 2002.
  23. A. Guha, R. Chattopadhyay, and Jayadeva, “Predicting yarn tenacity: A comparison of mechanistic, statistical, and neural network models”, Journal of the Textile Institute Part 1: Fibre Science and Textile Technology, 92, pp. 139-145, 2001.
  24. S.A. Rahman, Jayadeva, and S.C. Dutta Roy, “Neural network approach to graph colouring”, Electronics Letters, 35 (14), pp. 1173-1175, 1999.
  25. Jayadeva, “Neural-based channel routing of cyclic and non-cyclic channels – lessons from nonlinear optimization”, Neural Network World, 7 (3), pp. 241-267, 1997.
  26. Jayadeva, “Relations between Hopfield-type continuous networks and discrete-time binary networks”, IETE Journal of Research, 42 (4-5), pp. 215-221, 1996.
  27. Jayadeva and B. Bhaumik, “A neural network for the Steiner minimal tree problem”, Biological Cybernetics, 70 (5), pp. 485-494, 1994.
  28. Jayadeva and B. Bhaumik, “Optimization with neural networks: a recipe for improving convergence and solution quality”, Biological Cybernetics, 67 (5), pp. 445-449, 1992.
  29. Jayadeva and B. Bhaumik, “Comments on ‘A naive approach to global optimization’ by L. O. Chua”, IEEE transactions on circuits and systems, 38 (7), pp. 818-820, 1991.
  30. Jayadeva, “New systolic design for digital IIR filters”, IEEE Transactions on Circuits and Systems, 37 (5), pp. 653-654, 1990.
  31. Jayadeva, K.K. Pathak, and A. Chakraborthy, “Recurrent Neural Networks With Nonlinear Synapses for Solving Optimization Problems”, IETE Journal of Research, Vol. , Nos. 2 & 3, March-June 2003, pp. 197-209.