Publications/Performances:

• Franklin, J. A., 2006, Recurrent Neural Networks for Music Computation, INFORMS Journal on Computing, Vol. 18, No. 3, Summer 2006, pp. 321-338.
  pdf version
• Franklin, J. A. and Last, J., 2006, Emitting Grains of Learning with PD, Proceedings of the Tenth Biennial Symposium on Arts and Technology, March 2006. pdf version;
  and accompanying movie First 52 seconds are initial learning. Then minutes 5:15 through 9:15 of original movie are appended, showing learning narrowing down to desired horizontal controller settings.
  
• Franklin, J. A., 2006, Jazz Melody Generation Using Recurrent Networks and Reinforcement Learning, August 2006, in International Journal on Artificial Intelligence Tools. Special Issue on Artificial Intelligence in Music and Art, Guest Editors: B. Manaris and P. Machado, pp. 641-650. World Scientific Publishing, Hackensack, NJ.
• Franklin, J. A. and Raphael, C., 2005, Interactive Computer Music, in the Berkshire Encyclopedia of Human Computer Interaction, Editor: William Bainbridge, NSF, Berkshire Publishing Group
• Franklin, J. A. and Locke, K. K., 2005, Recurrent Neural Networks for Musical Pitch Memory and Classification, International Journal of Artificial Intelligence Tools, World Scientific, Vol 4, Nos. 1&2, Feb and April 2005.
  pdf version
• Franklin, Judy A., 2004 Predicting Reinforcement of Pitch Sequences via LSTM and TD, in Proceedings of 2004 International Computer Music Conference, Miami, FL.
  pdf version
• Franklin, J. A., 2004, Computational Models for Learning Pitch and Duration Using LSTM Recurrent Neural Networks, in Proceedings of the 8th International Conference on Music Perception and Cognition (ICMPC8), Chicago, IL.
• Franklin, J. A., 2004, Recurrent Neural Networks and Pitch Representations for Music Tasks, Proceedings of Florida AI Research Symposium (FLAIRS) 04. pdf version
• Franklin, J. A., Laverty, E. A., Negin, S. R., Pitching Computer Algorithms. Proceedings of the Ninth Biennial Symposium on Arts and Technology, February 2003. pdf version
• Franklin, J., 2002, Improvisation and Learning. T. G. Dietterich, S. Becker, and Z. Ghahramani (eds.) Advances in Neural Information Processing Systems 14. MIT Press, Cambridge, MA
  ps version
• Franklin, J. and Manfredi, V., 2002, Nonlinear Credit Assignment for Musical Sequences. in Proceedings of the Second International Workshop on Intelligence Systems Design and Applications. Dynamic Publishers, Inc. Atlanta, GA, pp. 245-250.
  ps version
• Franklin, J., 2000, Computer Generated Music as a Teaching Aid for First Year Computing, in the Journal of Computing in Small Colleges pdf version
• Franklin, J., 2000, Multi-Phase Learning for Jazz Improvisation and Interaction, Proceedings of the Eighth Biennial Symposium on Arts and Technology (Perception and Interaction in the Electronic Arts), Mar 2001. pdf version
• Franklin, J., 2000, An Implementation of Human/Computer Interaction via Jazz Improvisation, presented/performed at the College Music Society's Women and Music Technology Workshop, Agnes Scott College, Atlanta, GA, March, 2000.
• Benbrahim, H. & Franklin, J., 1997, Biped dynamic walking using reinforcement learning, Robotics and Autonomous Systems Journal, December, 1997. pdf version
  Click here to view biped.avi
• Benbrahim, H. & Franklin, J. 1994, Self-Scaling Reinforcement: A new Algorithm for learning Continuous Control, Proceedings of the Eighth Yale Workshop on Adaptive and Learning Systems, June 1994, New Haven, CT.
  pdf version
• Franklin, J., Mitchell, T., Thrun, S., eds., 1996, Recent Advances in Robot Learning, Kluwer Academic Publishing.
• Franklin, J. & Dhillon, N., 1995, Personalizing Internet News via Collaborative Filtering, Internal GTE Memo.
• Franklin, J. A., 1994, The Pursuit of Modeling of Biped Agents, in AAAI Tech Report, B. Kuipers & L. Unger eds., Proc AAAI Fall Symp. pdf version
• Gullapalli, V., Franklin, J. A., Benbrahim, H., 1994, Acquiring Robot Skills via Reinforcement Learning, IEEE Control Systems Magazine, February 1994. pdf version
• Franklin, J. A., 1993, Three Applications of Artificial Neural Networks for Control 1993, IEEE International Conference on Neural Networks, San Francisco, CA.
• Franklin, J. A. White, D. A., 1992, Artificial Neural Networks in Manufacturing and Process Control, in Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches, White, D. A. Sofge, D. A., eds., Van Nostrand Reinhold, Florence, KY.
• Benbrahim, H., Doleac, J., Franklin, J., Selfridge, O., 1992, Real-Time Learning: A Ball on a Beam, Proceedings of the 1992 International Joint Conference on Neural Networks, Baltimore, MD. pdf version
• Franklin, J. A., Smith, M. D., Yun, J. C., 1992, Learning Channel Allocation Strategies in Real Time, Proceedings of the IEEE Vehicular Technology Conference 1992, Denver, CO.
• Franklin, J. A. Selfridge, O. G., 1990, Some New Directions for Adaptive Control Theory in Robotics, in Neural Networks for Control, Miller, W. T., III, Sutton, R. S, Werbos, P., eds., MIT Press.
• Franklin, J. A., 1989, Historical Perspective and State of the Art in Connectionist Learning Control, The Proceedings of the 28th IEEE Conference on Decision and Control, December, Tampa, FL.
• Franklin, J. A., 1988, Compliance and Learning: Control Skills for a Robot Operating in an Uncertain World, Ph.D. Dissertation, Electrical and Computer Engineering Department, UMass, Amherst, MA.
• Franklin, J. A., 1987, Learning Control in a Robotic System, October, in Proceedings of the 1987 IEEE International Conference on Systems, Man, and Cybernetics, Alexandria, VA.
• Djaferis, T., Franklin, J., Murah, B., 1987, Development of Multivariate Feedback Control Methods For Surface Tracing, Proceedings of the Tenth IFAC World Congress, Munich, West Germany, July.