Eiichiro Tazaki

32 papers B 11Journal 14Unranked 7

Year	Rank	Type	Title / Venue / Authors
2007	J	`jnl`	New Model Based on Cellular Automata and Multiagent Techniques. Cybern. Syst. Daisuke Yamaguchi, Yasser F. Hassan, Eiichiro Tazaki
2006	J	`jnl`	Emergence decision using hybrid rough sets/cellular automata. Kybernetes Yasser F. Hassan, Eiichiro Tazaki
2005	J	`jnl`	New learning method for cellular neural networks template based on combination between rough sets and genetic programming. Cybern. Syst. Elsayed Radwan, Eiichiro Tazaki
2005	—	`conf`	Waste Incinerator Emission Prediction Using Probabilistically Optimal Ensemble of Multi-agents. KES (3) Daisuke Yamaguchi, Kenneth J. Mackin, Eiichiro Tazaki
2004	J	`jnl`	Emergent Rough Set Data Analysis. Trans. Rough Sets Yasser F. Hassan, Eiichiro Tazaki
2004	J	`jnl`	Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System. Int. J. Neural Syst. Elsayed Radwan, Eiichiro Tazaki
2004	J	`jnl`	Template learning of cellular neural network using genetic programming. Int. J. Neural Syst. Elsayed Radwan, Eiichiro Tazaki
2003	J	`jnl`	Adaptive Behavior in Cellular Automata Using Rough Set Theory. Appl. Artif. Intell. Yasser F. Hassan, Eiichiro Tazaki
2003	B	`conf`	Cellular Automata Model Based on Multiagent Techniques. KES Yasser F. Hassan, Eiichiro Tazaki, Daisuke Yamaguchi
2003	J	`jnl`	Emergent Computation Using a New Model of Cellular Automata. Appl. Artif. Intell. Yasser F. Hassan, Eiichiro Tazaki
2003	J	`jnl`	Emergent Model Based On Hybrid Rough Sets Systems. Complex Syst. Yasser F. Hassan, Eiichiro Tazaki
2003	J	`jnl`	Induction of Knowledge Using Evolutionary Rough Set Theory. Cybern. Syst. Yasser F. Hassan, Eiichiro Tazaki
2003	—	`conf`	Interpretation of Rough Neural Networks as Emergent Model. RSFDGrC Yasser F. Hassan, Eiichiro Tazaki
2002	J	`jnl`	Decision Making Using Hybrid Rough Sets and Neural Networks. Int. J. Neural Syst. Yasser F. Hassan, Eiichiro Tazaki, Shin Egawa, Kazuho Suyama
2001	J	`jnl`	Combined Method of Genetic Programming and Association Rule Algorithm. Appl. Artif. Intell. Ayahiko Niimi, Eiichiro Tazaki
2001	—	`conf`	Extended Genetic Programming Using Apriori Algorithm for Rule Discovery. JSAI Workshops Ayahiko Niimi, Eiichiro Tazaki
2000	B	`conf`	Evolving intelligent multiagent systems using unsupervised agent communication and behavior training. SMC Kenneth J. Mackin, Eiichiro Tazaki
2000	B	`conf`	Fuzzy reasoning model of facial selection and its applications. KES Toshiyuki Yamashita, Takumi Ichimura, Eiichiro Tazaki, Masahiro Takahashi
2000	B	`conf`	Genetic programming combined with association rule algorithm for decision tree construction. KES Ayahiko Niimi, Eiichiro Tazaki
2000	B	`conf`	Rule Discovery Technique Using Genetic Programming Combined with Apriori Algorithm. Discovery Science Ayahiko Niimi, Eiichiro Tazaki
2000	B	`conf`	Unsupervised training of multiobjective agent communication using genetic programming. KES Kenneth J. Mackin, Eiichiro Tazaki
1999	J	`jnl`	Emergence of Learning Rule in Neural Networks Using Genetic Programming Combined with Decision Trees. J. Adv. Comput. Intell. Intell. Informatics Noboru Matsumoto, Kenneth J. Mackin, Eiichiro Tazaki
1999	B	`conf`	Emergence of group behavior in multiagent systems using self trained agent communication. IJCNN Kenneth J. Mackin, Eiichiro Tazaki
1999	B	`conf`	Leaning of neural networks using extended genetic algorithm with neutral mutation-application to ill-posed medical diagnostic system [for leaning read learning]. IJCNN Kazuhiro Ooba, Eiichiro Tazaki
1999	B	`conf`	Object oriented approach to combined learning of decision tree and ADF GP. IJCNN Ayahiko Niimi, Eiichiro Tazaki
1999	B	`conf`	Rule Discovery Technique Using GP with Crossover to Maintain Variety. Discovery Science Ayahiko Niimi, Eiichiro Tazaki
1998	B	`conf`	Emergence of learning rule in neural networks using genetic programming combined with decision trees. SMC Noboru Matsumoto, Eiichiro Tazaki
1998	—	`conf`	Heuristic approach to topology generation for knowledge-based fuzzy Petri nets. KES (1) Yuji Ouchi, Eiichiro Tazaki
1997	—	`conf`	Extraction method of rules from reflective neural network architecture. ICNN Takumi Ichimura, Noboru Matsumoto, Eiichiro Tazaki, Katsumi Yoshida
1995	—	`conf`	Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks. ICNN Takumi Ichimura, Eiichiro Tazaki
1979	J	`jnl`	Heuristic Structure Synthesis in a Class of Systems Using a Fuzzy Automaton. IEEE Trans. Syst. Man Cybern. Eiichiro Tazaki, Michio Amagasa
1974	—	`conf`	Evaluation Model of Humanistic Systems by Fuzzy Multiple Integral and Fuzzy Correlation. Optimization Techniques Eiichiro Tazaki, Michio Amagasa

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.