Publications/Performances:

The material in some of these compositions and papers is based upon work supported by the National Science Foundation under Grants No. 0914988, 0222541, and 9720508. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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• Franklin, J., 2014, Multi-Agent Learning for 60 Second Musical Soundscape Generation, submitted to the International Journal of Intelligence Science (IJIS)
  
• Franklin, J., 2014, Autumnal Tune, 60 seconds, submitted to Vox Novus 60x60 11th International Mix.
  
• Franklin, J., 2014, You're Denied, 17 min., 15 sec electro-acoustic computer music composition, submitted to the International Alliance for Women in Music (IAWM) annual composition competition for women composers, called the “Search for New Music by Women Composers”, aka SNM.
  You’reDenied.pdf program notes
  
• Franklin, J., 2014, Other Places, 4 min. 25 sec electro-acoustic computer music composition, submitted to Taukay Edizioni Musicali (TEM)’s Tenth International Composition Competition: “Città di Udine”, Electro-acoustic music section. (http://www.taukay.it).
  JudyFranklinElecAcousScore.pdf program notes
  
• Franklin, J., 2013, Piano Mess, 2 min, 43 second computer music composition accepted for audiograft festival 2013, 25 Feb-3 March, and in online audiograft jukebox, part of Sonic Art Research Unit webpages at Oxford Brookes University.
  Click here for www.audiograft.com.
• Franklin, J., 2013, Quest for More, Electroacoustic Miniature composition, submitted to Miso Music Portugal, The Lisbon Architecture Triennale and the Música Viva Festival December 2013
  
• Franklin, J. , 2013, Reforming Sounds with Granular Synthesis, paper submitted to AIIDE13 (Ninth Conference on Artificial Intelligence and Interactive Digital Entertainment) October 14-18, 2013, FranklinJudySubmittedAIIDE13.pdf here
• Franklin, J. , 2013, Generating Soundwaves via Granular Synthesis and Reinforcement Learning, submitted to Fourth International Conference on Mathematics and Computation in Music (MCM 2013), FranklinJudySubmittedMCM2013.pdf here
• Franklin, J., 2012, Maybe Bass, 60 second computer music composition submitted, for the 60x60 North-East (United States) Then What If? Mix
  
• Franklin, J., 2012, About Kathy, 60 second computer music composition submitted, for the 10th annual Vox Novus 60x60 performance season.
  
• Franklin, J., 2011, Moving, 60 second computer music composition submitted, for the LIVEWIRE mix in collaboration with the Vox Novus 60x60 Project, for a festival installation for the UMBC Department of Music second annual LIVEWIRE Festival and Symposium (Oct. 27-29, 2011), 60x60 Composition contest. Livewire 2: On Fire focuses on controversies, developments and trends in contemporary music in the first decade of the 21st century.
  
• Franklin, J., 2011, Some Topics, 60 second computer music composition submitted, January 2011 for Vox Novus ninth annual 60x60 project; composers/sound artists’ works 60 seconds or less in length
  
• Franklin, J., 2010, This Winter, 60 second computer music composition accepted as part of International Computer Music Conference (ICMC) 2010 one hour concert at conference and part of Burgandy performance.
  
• Franklin, J., 2009, Maine, 60 second computer music composition accepted for “60X60 New Media : New Music : New England” New England competition for live event/exhibit and web installation
  

  Part of New Media : New Music : New England
     March 18. 2010:
  

  www.nmnmnme.org
  
• 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.