Bill G. Horne - RankMe

35 papers A* 2B 2Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Trust Me. Trust Me Not. IEEE Secur. Priv. Bill G. Horne
2015	J	`jnl`	Umbrellas and Octopuses. IEEE Secur. Priv. Bill G. Horne
2014	J	`jnl`	Humans in the Loop. IEEE Secur. Priv. Bill G. Horne
2014	J	`jnl`	On Computer Security Incident Response Teams. IEEE Secur. Priv. Bill G. Horne
2013	J	`jnl`	Guest Editorial: Special issue on privacy and trust management in cloud and distributed systems. IEEE Trans. Inf. Forensics Secur. Sen-ching Samson Cheung, Yan Sun, Karl Aberer, Jayant R. Haritsa, Bill G. Horne, Kai Hwang
2003	—	`ch.`	If Piracy Is the Problem, Is DRM the Answer? Digital Rights Management Stuart Haber, Bill G. Horne, Joe Pato, Tomas Sander, Robert Endre Tarjan
2001	J	`jnl`	Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks). Neural Comput. Peter Tiño, Bill G. Horne, C. Lee Giles
2001	—	`conf`	Dynamic Self-Checking Techniques for Improved Tamper Resistance. Digital Rights Management Workshop Bill G. Horne, Lesley R. Matheson, Casey Sheehan, Robert Endre Tarjan
2001	A*	`conf`	Escrow services and incentives in peer-to-peer networks. EC Bill G. Horne, Benny Pinkas, Tomas Sander
2000	J	`jnl`	Computational complexity of determining resource loops in re-entrant flow lines. IEEE Trans. Syst. Man Cybern. Part A Frank L. Lewis, Bill G. Horne, Chaouki T. Abdallah
1999	J	`jnl`	Alternative discrete-time operators: an algorithm for optimal selection of parameters. IEEE Trans. Signal Process. Andrew D. Back, Bill G. Horne, Ah Chung Tsoi, C. Lee Giles
1998	J	`jnl`	Efficient algorithms for function approximation with piecewise linear sigmoidal networks. IEEE Trans. Neural Networks Don R. Hush, Bill G. Horne
1998	J	`jnl`	How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies. Neural Networks Tsungnan Lin, Bill G. Horne, C. Lee Giles
1997	J	`jnl`	A delay damage model selection algorithm for NARX neural networks. IEEE Trans. Signal Process. Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung
1997	J	`jnl`	Computational capabilities of recurrent NARX neural networks. IEEE Trans. Syst. Man Cybern. Part B Hava T. Siegelmann, Bill G. Horne, C. Lee Giles
1997	—	`conf`	Function Approximation with the Sweeping Hinge Algorithm. NIPS Don R. Hush, Fernando Lozano, Bill G. Horne
1997	A*	`conf`	Predicting Multiprocessor Memory Access Patterns with Learning Models. ICML Majd F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles
1997	J	`jnl`	Time-delay neural networks: representation and induction of finite-state machines. IEEE Trans. Neural Networks Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
1996	J	`jnl`	An analysis of noise in recurrent neural networks: convergence and generalization. IEEE Trans. Neural Networks Kam-Chuen Jim, C. Lee Giles, Bill G. Horne
1996	J	`jnl`	Bounds on the complexity of recurrent neural network implementations of finite state machines. Neural Networks Bill G. Horne, Don R. Hush
1996	J	`jnl`	Learning long-term dependencies in NARX recurrent neural networks. IEEE Trans. Neural Networks Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
1996	—	`conf`	Online prediction of multiprocessor memory access patterns. ICNN Majd F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli
1996	—	`conf`	Representation and Induction of Finite State Machines using Time-Delay Neural Networks. NIPS Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell
1995	J	`jnl`	Learning a class of large finite state machines with a recurrent neural network. Neural Networks C. Lee Giles, Bill G. Horne, Tsungnan Lin
1995	—	`conf`	Learning long-term dependencies is not as difficult with NARX networks. NIPS Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
1995	B	`conf`	What NARX Networks Can Compute. SOFSEM Bill G. Horne, Hava T. Siegelmann, C. Lee Giles
1994	—	`conf`	An experimental comparison of recurrent neural networks. NIPS Bill G. Horne, C. Lee Giles
1994	—	`conf`	Effects of Noise on Convergence and Generalization in Recurrent Networks. NIPS Kam-Chuen Jim, Bill G. Horne, C. Lee Giles
1994	—	`conf`	Learning with Product Units. NIPS Laurens R. Leerink, C. Lee Giles, Bill G. Horne, Marwan A. Jabri
1994	J	`jnl`	On the node complexity of neural networks. Neural Networks Bill G. Horne, Don R. Hush
1993	—	`conf`	Bounds on the Complexity of Recurrent Neural Network Implementations of Finite State Machines. NIPS Bill G. Horne, Don R. Hush
1993	J	`jnl`	Progress in supervised neural networks. IEEE Signal Process. Mag. Don R. Hush, Bill G. Horne
1992	J	`jnl`	Error surfaces for multilayer perceptrons. IEEE Trans. Syst. Man Cybern. Don R. Hush, Bill G. Horne, John M. Salas
1990	B	`conf`	Estimating a posteriori probability with P-type nodes. IJCNN Bill G. Horne, Don R. Hush
1990	J	`jnl`	Neural networks in robotics: A survey. J. Intell. Robotic Syst. Bill G. Horne, Mohammad Jamshidi, Nader Vadiee