Refereed papers in professional journals

Published papers

1) Y. Baram and N.R. Sandell, Jr., ``An Information Theoretic Approach to Dynamical Systems Modeling and Identification'', IEEE Trans. on Automatic Control, Vol. AC-23, No. 1, pp. 61-66, February 1978.

2) Y. Baram and N.R. Sandell, Jr., ``Consistent Estimation on Finite Parameter Sets with Application to Dynamic System Identification'', IEEE Trans. on Automatic Control, Vol. AC-23, No. 3, pp. 451-454, June 1978.

3) Y. Baram, ``A Sufficient Condition for Consistent Discrimination Between Stationary Gaussian Models'', IEEE Trans. on Automatic Control, Vol. AC-23, No. 5, pp. 958-960, October 1978.

4) Y. Baram, ``Non-Stationary Model Validation from Finite Data Records'', IEEE Trans. on Automatic Control, Vol. AC-25, No. 1, pp. 10-19, February 1980.

5) Y. Baram, ``Decomposition and Convergence of Likelihood Ratios'', Information and Control, Vol. 45, No. 2, pp. 170-177, May 1980.

6) Y. Baram, ``On the Linearly Constrained Minimum Mean Square Error Estimate'', IEEE Trans. on Automatic Control, Vol. AC-25, No. 3, p. 573, June 1980.

7) Y. Baram, ``Truncation Error Bounds and Convergence of Least-Squares Estimates'', SIAM J. on Control and Optimization, Vol. 18, No. 4, pp. 346-351, July 1980.

8) Y. Baram, ``Model Validation Using Mismatched Filters'', Int. J. of Control, Vol. 32, No. 2, pp. 191-198, August 1980.

9) Y. Baram, ``Distance Measures for Stochastic Models'', Int. J. of Control, Vol. 33, No. 1, pp. 149-157, January 1981.

10) Y. Baram and Y. Be'eri, ``Stochastic Model Simplification'', IEEE Trans. on Automatic Control, Vol. 26, No. 2, pp. 379-390, April 1981.

11) Y. Baram, ``Realization and Reduction of Markovian Models from Non-Stationary Data'', IEEE Trans. on Automatic Control, Vol. AC-26, No. 6, pp. 1225-1231, December 1981.

12) Y. Baram, ``Identifying Non-Stationary Measurement Noise in Linear Systems'', IEEE Trans. on Information Theory, Vol. IT-28, No. 1, pp. 122-123, January 1982.

13) Y. Baram, ``Recovering the Poles of Linear Systems'', IEEE Trans. on Automatic Control, Vol. AC-27, No. 6, pp. 1157-1160, December 1982.

14) Y. Baram, ``On Two Dimensional Data Representation by Radial Base Functions'', IEEE Trans. on Acoustics, Speech and Signal Processing, Vol. ASSP-32, No. 1, pp. 163-164, February 1984.

15) Y. Baram, ``A Geometric Approach to Stochastic Model Reduction by Canonical Variables'', IEEE Trans. on Automatic Control, Vol. AC-29, No. 4, pp. 358-359, April 1984.

16) Y. Baram, ``On Consistent Estimation of the Characteristic Coefficients and the Poles of Multivariate Linear Systems'', IEEE Trans. on Automatic Control, Vol. AC-29, No. 5, pp. 479-480, May 1984.

17) Y. Baram and U. Shaked, ``On the Order of the Minimal Output Representation of Stochastic Linear Systems'', International Journal of Control, Vol. 40, No. 1, pp. 179-192, July 1984.

18) Y. Baram and M. Margalit, ``Surface Fitting by Pseudo Potential Functions'', IEEE Trans. on Geoscience and Remote Sensing, Vol. GE-22, No. 5, pp. 455-461, September 1984.

19) Y. Baram and D. Eidelman, ``An Information Approach to Fixed Gain Design'', IEEE Trans. on Aerospace and Electronic Systems, Vol. AES-21, No. 1, pp. 47-55, January 1985.

20) Y. Baram and U. Shaked, ``Minimal Order Estimation of Continuous-Time Stochastic Linear Systems'', IEEE Trans. on Automatic Control, Vol. AC-30, No. 5, pp. 483-484, May 1985.

21) Y. Baram and U. Shaked, ``Minimal Order Estimation of Discrete-Time Stochastic Linear Systems'', SIAM J. on Control and Optimization, Vol. 24, No. 4, pp. 817-820, July 1986.

22) Y. Baram, ``A Lower Bound on the Mean Square Error of Reduced Order Estimators for Non-Linear Processes'', IEEE Trans. on Information Theory, Vol. IT-33, No. 6, November 1987.

23) Y. Baram and G. Kalit, ``Order Reduction in Linear State Estimation under Performance Constraints'', IEEE Trans. on Automatic Control, Vol. AC-32, No. 11, November 1987.

24) Y. Baram and B. Porat, ``Identification of Minimal Order State-Space Models from Stochastic Input-Output Data'', SIAM J. on Control and Optimization, Vol. 26, No. 1, Jan. 1988.

25) Y. Baram and U. Shaked, ``On the Internal Structure of Minimal Realizations'', Automatica, vol.24, no.5, pp. 715-717, September 1988.

26) Y. Baram and T. Kailath, ``Estimability and Regulability of Linear Systems'', IEEE Trans. on Automatic Control, vol. AC-33, no. 12, pp. 1116-1121, December 1988.

27) R.E. Bach, Jr. and Y. Baram, ``Recursive Inversion of Externally Defined Linear Systems'', IEEE Trans. on Automatic Control, vol. AC-34, no.5, pp. 635-637, June 1989.

28) Y. Baram, ``Associative Memory in Fractal Neural Networks'', IEEE Trans. on Systems, Man and Cybernetics, vol. SMC-18, no.5, pp. 1133-1141, October 1989.

29) Y. Baram, ``Construction of Linear Predictors for Stationary Vector Sequences'', IEEE Trans. on Automatic Control, vol. 35, no. 2, pp. 236-239, February 1990.

30) Y. Baram, ``Closed Forms for the Levinson Coefficients of Polynomial Compensators and Inverse Systems'', IEEE Trans. on Automatic Control, vol. 35, no. 8, pp. 929-932, August 1990.

31) Y. Baram, ``Ground States of Partially Connected Neural Networks'', (invited paper), Proceedings of the IEEE, Special Issue on Neural Networks, pp. 1575-1578, October 1990.

32) Y. Baram, ``Memory Capacity of Ternary Hebbian Networks'', IEEE Trans. on Information Theory, vol. 37, no.3, pp. 528-534, May 1991.

33) Y. Baram, ``Encoding Unique Global Minima in Nested Neural Networks'', IEEE Trans. on Information Theory, vol. 37, no. 4, pp. 1158-1162, July 1991.

34) Y. Baram and D. Sal'ee, ``Lower Bounds on the Capacities of Binary and Ternary Networks Storing Sparse Random Vectors'', IEEE Trans. on Information Theory, vol. 38, no. 6, pp. 1633--1647, November 1992.

35) D. L. Ringach and Y. Baram, ``A Diffusion Mechanism for Obstacle Detection from Size--Change Information,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 16, No. 1 pp. 76 -- 80, January 1994.

36) Y. Baram, ``Corrective Memory by a Symmetric Sparsely Encoded Network,'' IEEE Trans. on Information Theory, Vol. 40, No. 2, pp. 429 -- 438, March 1994.

37) N. Peterfreund and Y. Baram, ``Second--Order Bounds on the Domain of Attraction and the Rate of Convergence of Nonlinear Dynamical Systems and Neural Networks,'' IEEE Trans. on Neural Networks, Vol. 5, No. 4, pp. 551 -- 560, July 1994.

38) Y. Baram, ``Memorizing Binary Vector sequences by Sparsely Encoded Networks,'' IEEE Trans. on Neural Networks, Vol. 5, No. 6, pp. 974--981, November 1994.

39) D. Sal'ee and Y. Baram, ``High-Capacity Hebbian Storage by Sparse Sampling,'' IEEE Trans. on Neural Networks, Vol. 6, No. 2, pp. 349--356, March 1995.

40) Y. Baram and Y. Barniv, ``Obstacle Detection by Recognizing Binary Expansion Patterns,'' IEEE Trans. on Aerospace and Electronic Systems, Vol. 32, No. 1, pp. 191--198, January 1996.

41) Y. Baram, ``A Bird's Eye View on the Descent Trajectory,'' IEEE Trans. on Aerospace and Electronic Systems,Vol. 32, No. 3, pp. 1085--1087, July 1996.

42) Y. Baram, ``Classification by Balanced Representation,'' Neurocomputing, Vol. 13, pp. 347--357, 1996.

43) Z. Roth and Y. Baram, ``Multi--Dimensional Density Shaping by Sigmoids,'' IEEE Trans. on Neural Networks, Vol. 7, No. 5, pp. 1291--1298, Septembe 1996.

44) Y. Baram, Y. Barniv and T. Sony, ``Detecting Collision from Gray--Level Expansion by a Neural Network,'' Neurocomputing, Vol. 16, pp. 77-84, 1997.

45) N. Peterfreund and Y. Baram, ``Convergence Analysis of Nonlinear Dynamical Systems by Nested Lyapunov Functions,'' IEEE Trans. on Automatic Control, Vol. 43, No. 8, pp. 1179-1184, August 1998.

46) Y. Baram, ``Classification by Maximum-Information Density Intersection,'' Neural Processing Letters, Vol. 8, No. 1, pp. 1 - 8, August 1998.

47) Y. Baram, ``Partial Classification: The Benefit of Deferred Decision,'' IEEE Trans. on Pattern Analysis and Machine intelligence, Vol. 20, No. 8, pp. 769 - 776, August 1998.

48) N. Peterfreund and Y. Baram, ``Trajectory Control of Convergent Networks,'' Neural Processing Letters, Vol. 8, No. 2, pp. 99-106, October 1998.

49) Y. Baram, ``A Geometric Approach to Consistent Classification,'' Pattern Recognition, Vol. 33, pp. 177-184, 2000.

50) Y. Baram, ``Walking on Tiles,'' Neural Processing Letters, Vol. 10, No. 2, pp. 81-87, October 1999.

51) Y. Baram, ``Bayesian Classification by Iterated Weighting,'' Neurocomputing, Vol. 25, pp. 73-79, 1999.

52) Y. Baram, ``Random Embedding Machines for Pattern Recognition,'' Neural Computation, Vol. 13, pp. 2533-2548, 2001.

53) M. Zlochin and Y. Baram, ``Manifold Stochastic Dynamics for Bayesian Learning,'' Neural Computation, Vol. 13, pp. 2549-2572, 2001.

54) Y. Baram, J. Aharon-Peretz, Y. Simionovici, L. Ron, ``Walking on Virtual Tiles: Virtual Reality in Closed-Loop Improves Gait in Parkinson's Patients,'' Neurology, Vol. 56, No. 8, Supplement 3, p. 308, 2001, and oral presentations at the 53'rd Annual Meeting of the American Academy of Neurology, Philadelphia, May 2001, and at the Annual meeting of the Israeli Society of Neurology, November 2000.

55) Y. Baram, J. Aharon-Peretz, Y. Simionovici, L. Ron, ``Walking on Virtual Tiles,'' Neural Processing Letters, Vol. 16, pp. 227 - 233, 2002.

56) Y. Baram, R. El-Yaniv, J. Luz, ``On-line Choice of Active Learning Algorithms,'' J. of Machine Learning Research (JMLR)}, Vol. 5, pp. 255-291, March 2004.

57) Y. Baram, ``Learning by Kernel Polarization,''Neural Computation, Vol. 17:6, pp. 1264-1275, June, 2005.

58) Y. Baram and A. Miller, ``Effects of Virtual Reality Cues on Gait in Multiple Sclerosis Patients,' Neurology, 66;178-181, January, 2006. (Research Award for the Best Platform Presentation in Research in Multiple Sclerosis of the 19th Annual Meeting of the Consortium of Multiple Sclerosis Centers, Orlando, Florida, June, 2005)

59) S. Polak, Y. Barniv and Y. Baram, ``Head Motion Anticipation for Virtual-Environment Applications using Kinematics and EMG Energy,'' IEEE Trans. on Systems, Man and Cyberneticas, Part A, Vol. 36m No. 3, pp. 569-576, May 2006.

60) Y. Baram and A. Miller, ``Auditory Feedback for Improvement of Gait in Multiple Sclerosis Patients,'' Journal of the Neurological Sciences, 254, 90-94, February, 2007.

61) Y. Baram, ``Closed-loop augmented reality for movement disorders,'' (invited paper) Frontiers in Neuroscience, Special Issue on Augmented Cognition, 3 (1), 112-113, May 2009.

62) Y. Baram, J. Aharon-Peretz, Ruben Lenger, ``Virtual Reality Feedback for Gait Improvement in Patients with Idiopathic Senile Gait Disorders and in Patient with History of strokes'', Journal of the American Geriatrics Society, Volume 58 Issue 1, 191-192, January 2010.

63) Y. Baram, A. Miller, "Glide-Symmetric locomotion reinforcement in patients with multiple sclerosis by visual feedback," Disability and Reabilitation: Assistive Technology;5(5):323-6. 2010.

64) A. J. Espay, Y. Baram, A. K. Dwivedi, R. Shukla, M. Gartner, L. Gaines, A. P. Duker, F. J. Revilla, "At-home training with closed-loop augmented-reality cueing device for improvement of gait in patients with Parkinson's disease," Journal of Rehabilitation Research & Development (JRRD) Vol. 47, No. 6, pp. 573-582, 2010.