George G. Lendaris

32 papers B 15C 2Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2011	B	`conf`	Explorations on system identification via higher-level application of Adaptive-Critic Approximate Dynamic Programming. IJCNN Joshua G. Hughes, George G. Lendaris
2011	—	`conf`	Higher-level application of Adaptive Dynamic Programming/Reinforcement Learning - a next phase for controls and system identification? ADPRL George G. Lendaris
2009	B	`conf`	A retrospective on Adaptive Dynamic Programming for control. IJCNN George G. Lendaris
2009	J	`jnl`	Adaptive dynamic programming approach to experience-based systems identification and control. Neural Networks George G. Lendaris
2008	J	`jnl`	Guest Editorial: Special Issue on Adaptive Dynamic Programming and Reinforcement Learning in Feedback Control. IEEE Trans. Syst. Man Cybern. Part B Frank L. Lewis, Derong Liu, George G. Lendaris
2008	J	`jnl`	Higher Level Application of ADP: A Next Phase for the Control Field? IEEE Trans. Syst. Man Cybern. Part B George G. Lendaris
2007	B	`conf`	Effectiveness of a Coupled Oscillator Network for Surface Discernment by a Quadruped Robot based on Kinesthetic Experience. IJCNN Andrew H. Toland, Lars A. Holstrom, George G. Lendaris
2006	B	`conf`	Experience-Based Identification and Control via Higher-Level Learning and Context Discernment. IJCNN George G. Lendaris
2005	B	`conf`	On-line system identification using context discernment. IJCNN Lars Holmstrom, Roberto A. Santiago, George G. Lendaris
2005	B	`conf`	Reinforcement learning and the frame problem. IJCNN Roberto A. Santiago, George G. Lendaris
2004	B	`conf`	Learning with binary-valued utility using derivative adaptive critic methods. IJCNN Shari A. Matzner, Thaddeus T. Shannon, George G. Lendaris
2003	B	`conf`	Accelerating critic learning in approximate dynamic programming via value templates and perceptual learning. IJCNN Thaddeus T. Shannon, Roberto A. Santiago, George G. Lendaris
2003	B	`conf`	Adaptive critic design of a control augmentation system for an unmanned aerial vehicle. SMC Roberto A. Santiago, George G. Lendaris
2003	B	`conf`	An automated method for neuronal spike source identification. IJCNN Roberto A. Santiago, James McNames, Kim Burchiei, George G. Lendaris
2003	B	`conf`	Artificial neural network implementation using many-valued quantum computing. IJCNN Anas N. Al-Rabadi, George G. Lendaris
2003	B	`conf`	Controller design via adaptive critic and model reference methods. IJCNN George G. Lendaris, Roberto A. Santiago, Jay McCarthy, Michael Carroll
2003	J	`jnl`	Developments in understanding neuronal spike trains and functional specializations in brain regions. Neural Networks Roberto A. Santiago, James McNames, Kim Burchiel, George G. Lendaris
2003	J	`jnl`	Intelligent supply chain management using adaptive critic learning. IEEE Trans. Syst. Man Cybern. Part A Stephen Shervais, Thaddeus T. Shannon, George G. Lendaris
2002	J	`jnl`	Adaptive dynamic programming. IEEE Trans. Syst. Man Cybern. Part C John J. Murray, Chadwick J. Cox, George G. Lendaris, Richard Saeks
2001	C	`conf`	Globally convergent approximate dynamic programming applied to an autolander. ACC John J. Murray, Chadwick J. Cox, Richard Saeks, George G. Lendaris
2001	C	`conf`	Neural adaptive control of LoFLYTE(R). ACC Chadwick J. Cox, James C. Neidhoefer, Richard Saeks, George G. Lendaris
2000	—	`conf`	Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle. IJCNN (3) George G. Lendaris, Larry Schultz, Thaddeus T. Shannon
2000	B	`conf`	Adaptive critic based approximate dynamic programming for tuning fuzzy controllers. FUZZ-IEEE Thaddeus T. Shannon, George G. Lendaris
1999	B	`conf`	A comparison of training algorithms for DHP adaptive critic neurocontrol. IJCNN George G. Lendaris, Thaddeus T. Shannon, Andres Rustan
1999	J	`jnl`	Linear Hopfield networks and constrained optimization. IEEE Trans. Syst. Man Cybern. Part B George G. Lendaris, Karl Mathia, Richard Saeks
1997	—	`conf`	Improving ANN generalization using a priori knowledge to pre-structure ANNs. ICNN George G. Lendaris, Armin Rest, Thomas R. Misley
1997	—	`conf`	Training strategies for critic and action neural networks in dual heuristic programming method. ICNN George G. Lendaris, Christian Paintz
1990	B	`conf`	A proposal for indicating quality of generalization when evaluating ANNs. IJCNN George G. Lendaris
1988	—	`conf`	Conceptual graph knowledge systems as problem context for neural networks. ICNN George G. Lendaris
1988	J	`jnl`	On comparing neural net training paradigms via graded pattern recognition tasks. Neural Networks George G. Lendaris
1986	J	`jnl`	On Systemness and the Problem Solver: Tutorial Comments. IEEE Trans. Syst. Man Cybern. George G. Lendaris
1980	J	`jnl`	Structural Modeling a Tutorial Guide. IEEE Trans. Syst. Man Cybern. George G. Lendaris

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.