Yoram Baram - RankMe

49 papers A* 2B 1C 2Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`book`	Brain Proximity Measures - Selecting the Optimal Neural Circuit from a Set Brain Proximity Measures Yoram Baram
2023	—	`book`	Motion Control - Multi-Faceted Movement in Space, Time and Neurological Impairment Motion Control Yoram Baram
2021	—	`book`	The Subcritical Brain - A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control The Subcritical Brain Yoram Baram
2018	J	`jnl`	Circuit Polarity Effect of Cortical Connectivity, Activity, and Memory. Neural Comput. Yoram Baram
2017	J	`jnl`	Developmental metaplasticity in neural circuit codes of firing and structure. Neural Networks Yoram Baram
2012	J	`jnl`	Noninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural Firing. Neural Comput. Yoram Baram
2012	J	`jnl`	Quantum set intersection and its application to associative memory. J. Mach. Learn. Res. Tamer Salman, Yoram Baram
2012	C	`conf`	Sliding Global Attractors of Neural Learning and Memory. IJCCI Yoram Baram
2006	J	`jnl`	Head motion anticipation for virtual-environment applications using kinematics and EMG energy. IEEE Trans. Syst. Man Cybern. Part A Simon Polak, Yair Barniv, Yoram Baram
2005	J	`jnl`	Learning by Kernel Polarization. Neural Comput. Yoram Baram
2004	J	`jnl`	Online Choice of Active Learning Algorithms. J. Mach. Learn. Res. Yoram Baram, Ran El-Yaniv, Kobi Luz
2003	A*	`conf`	Online Choice of Active Learning Algorithms. ICML Yoram Baram, Ran El-Yaniv, Kobi Luz
2002	J	`jnl`	Walking on Virtual Tiles. Neural Process. Lett. Yoram Baram, Judith Aharon-Peretz, Yahalomit Simionovici, Lior Ron
2001	J	`jnl`	Manifold Stochastic Dynamics for Bayesian Learning. Neural Comput. Mark Zlochin, Yoram Baram
2001	J	`jnl`	Random Embedding Machines for Pattern Recognition. Neural Comput. Yoram Baram
2001	A*	`conf`	Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. ICML Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram
2001	C	`conf`	The Bias-Variance Dilemma of the Monte Carlo Method. ICANN Mark Zlochin, Yoram Baram
2000	J	`jnl`	A geometric approach to consistent classification. Pattern Recognit. Yoram Baram
2000	B	`conf`	Random Embedding Machines for Low-Complexity Pattern Recognition. ICPR Yoram Baram
1999	J	`jnl`	Bayesian classification by iterated weighting. Neurocomputing Yoram Baram
1999	—	`conf`	Manifold Stochastic Dynamics for Bayesian Learning. NIPS Mark Zlochin, Yoram Baram
1999	J	`jnl`	Walking on Tiles. Neural Process. Lett. Yoram Baram
1998	J	`jnl`	Classification by Density Intersection. Neural Process. Lett. Yoram Baram
1998	J	`jnl`	Convergence analysis of nonlinear dynamical systems by nested Lyapunov functions. IEEE Trans. Autom. Control. Natan Peterfreund, Yoram Baram
1998	J	`jnl`	Partial Classification Can Be Beneficial Even for Ideal Separation. IEEE Trans. Pattern Anal. Mach. Intell. Yoram Baram
1998	J	`jnl`	Partial Classification: The Benefit of Deferred Decision. IEEE Trans. Pattern Anal. Mach. Intell. Yoram Baram
1998	J	`jnl`	Trajectory Control of Convergent Networks. Neural Process. Lett. Natan Peterfreund, Yoram Baram
1997	J	`jnl`	Detecting collision from gray-level expansion by a neural network. Neurocomputing Yoram Baram, Yair Barniv, Tarun Soni
1997	—	`conf`	Soft nearest neighbor classification. ICNN Yoram Baram
1996	J	`jnl`	Classification by balanced binary representation. Neurocomputing Yoram Baram
1996	—	`conf`	Consistent Classification, Firm and Soft. NIPS Yoram Baram
1996	J	`jnl`	Multidimensional density shaping by sigmoids. IEEE Trans. Neural Networks Ze'ew Roth, Yoram Baram
1995	—	`conf`	Forecasting by density shaping using neural networks. CIFEr Yoram Baram, Ze'ew Roth
1995	J	`jnl`	High-capacity Hebbian storage by sparse sampling. IEEE Trans. Neural Networks Dror Salée, Yoram Baram
1995	—	`conf`	Multi-Dimensional Density Shaping by Sigmoidal Networks. ICNN Yoram Baram, Ze'ew Roth
1994	J	`jnl`	A Diffusion Mechanism for Obstacle Detection from Size-Change Information. IEEE Trans. Pattern Anal. Mach. Intell. Dario L. Ringach, Yoram Baram
1994	J	`jnl`	Corrective memory by a symmetric sparsely encoded network. IEEE Trans. Inf. Theory Yoram Baram
1994	J	`jnl`	Memorizing binary vector sequences by a sparsely encoded network. IEEE Trans. Neural Networks Yoram Baram
1994	J	`jnl`	Second-order bounds on the domain of attraction and the rate of convergence of nonlinear dynamical systems and neural networks. IEEE Trans. Neural Networks Natan Peterfreund, Yoram Baram
1992	J	`jnl`	Lower bounds on the capacities of binary and ternary networks storing sparse random vectors. IEEE Trans. Inf. Theory Yoram Baram, Dror Salée
1991	J	`jnl`	Encoding unique global minima in nested neural networks. IEEE Trans. Inf. Theory Yoram Baram
1991	J	`jnl`	On the capacity of ternary Hebbian networks. IEEE Trans. Inf. Theory Yoram Baram
1990	J	`jnl`	Ground states of partially connected binary neural networks. Proc. IEEE Yoram Baram
1989	J	`jnl`	Associative memory in fractal neural networks. IEEE Trans. Syst. Man Cybern. Yoram Baram
1988	J	`jnl`	On the internal structure of minimal stochastic realizations. Autom. Yoram Baram, Uri Shaked
1987	J	`jnl`	A lower bound on the mean square error of reduced-order estimators for nonlinear processes. IEEE Trans. Inf. Theory Yoram Baram
1982	J	`jnl`	Identifying nonstationary measurement noise in linear systems. IEEE Trans. Inf. Theory Yoram Baram
1980	J	`jnl`	Decomposition and Convergence of Likelihood Ratios Inf. Control. Yoram Baram
1977	—	`—`	Information, consistent estimation and dynamic system identification. Yoram Baram