Daisaku Yokoyama

26 papers B 2C 1Misc 2Journal 6Unranked 15

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	An Implementation of Werewolf Agent That does not Truly Trust LLMs. CoRR Takehiro Sato, Shintaro Ozaki, Daisaku Yokoyama
2017	—	`conf`	Optimal viewpoint finding for 3D visualization of spatio-temporal vehicle trajectories on caution crossroads detected from vehicle recorder big data. IEEE BigData Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa
2017	—	`conf`	Optimal viewpoint finding for space time cube to explore spatio-temporal characteristics of vehicle trajectories on crossroads. LDAV Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa
2017	—	`conf`	Road safety estimation utilizing big and heterogeneous vehicle recorder data. IEEE BigData Masashi Toyoda, Daisaku Yokoyama, Junpei Komiyama, Masahiko Itoh
2017	—	`conf`	Towards constructing a driver management system based on large-scale driving operation records. IEEE BigData Daisaku Yokoyama, Masashi Toyoda
2017	—	`conf`	Understanding Drivers' Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data. PAKDD (2) Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa
2016	—	`conf`	Do Drivers' Behaviors Reflect Their Past Driving Histories? - Large Scale Examination of Vehicle Recorder Data. BigData Congress Daisaku Yokoyama, Masashi Toyoda
2016	J	`jnl`	Visual Exploration of Changes in Passenger Flows and Tweets on Mega-City Metro Network. IEEE Trans. Big Data Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa
2015	—	`conf`	A System for visual exploration of caution spots from vehicle recorder data. VAST Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa
2015	—	`conf`	A large scale examination of vehicle recorder data to understand relationship between drivers' behaviors and their past driving histories. IEEE BigData Daisaku Yokoyama, Masashi Toyoda
2015	—	`conf`	Visual interface for exploring caution spots from vehicle recorder big data. IEEE BigData Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa
2014	—	`conf`	A Framework for Large-Scale Train Trip Record Analysis and Its Application to Passengers' Flow Prediction after Train Accidents. PAKDD (1) Daisaku Yokoyama, Masahiko Itoh, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa
2014	B	`conf`	A Randomized Game-Tree Search Algorithm for Shogi Based on Bayesian Approach. PRICAI Daisaku Yokoyama, Masaru Kitsuregawa
2014	Misc	`conf`	Comprehensive Analytics of Large Data Query Processing on Relational Database with SSDs. ADC Keisuke Suzuki, Yuto Hayamizu, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa
2014	—	`conf`	The Impact of Software Resource Allocation on Consolidated n-Tier Applications. IEEE CLOUD Jack Li, Qingyang Wang, Chien-An Lai, Junhee Park, Daisaku Yokoyama, Calton Pu
2014	—	`conf`	Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers. IEEE BigData Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa
2013	C	`conf`	A System-Design Outline of the Distributed-Shogi-System Akara 2010. SNPD Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, Takeshi Ito
2013	J	`jnl`	Design and implementation of GXP make - A workflow system based on make. Future Gener. Comput. Syst. Kenjiro Taura, Takuya Matsuzaki, Makoto Miwa, Yoshikazu Kamoshida, Daisaku Yokoyama, Nan Dun, Takeshi Shibata, Choi Sung Jun, Jun'ichi Tsujii
2013	Misc	`conf`	Modeling I/O interference for data intensive distributed applications. SAC Sven Groot, Kazuo Goda, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa
2013	J	`jnl`	Two-level Task Scheduling for Parallel Game Tree Search Based on Necessity. Inf. Media Technol. Akira Ura, Daisaku Yokoyama, Takashi Chikayama
2013	J	`jnl`	Two-level Task Scheduling for Parallel Game Tree Search Based on Necessity. J. Inf. Process. Akira Ura, Daisaku Yokoyama, Takashi Chikayama
2013	—	`conf`	Variations in Performance Measurements of Multi-core Processors: A Study of n-Tier Applications. IEEE SCC Junhee Park, Qingyang Wang, Deepal Jayasinghe, Jack Li, Yasuhiko Kanemasa, Masazumi Matsubara, Daisaku Yokoyama, Masaru Kitsuregawa, Calton Pu
2010	—	`conf`	Design and Implementation of GXP Make - A Workflow System Based on Make. eScience Kenjiro Taura, Takuya Matsuzaki, Makoto Miwa, Yoshikazu Kamoshida, Daisaku Yokoyama, Nan Dun, Takeshi Shibata, Choi Sung Jun, Jun'ichi Tsujii
2007	—	`conf`	Automatic Generation of Evaluation Features for Computer Game Players. CIG Makoto Miwa, Daisaku Yokoyama, Takashi Chikayama
2006	B	`conf`	Automatic Construction of Static Evaluation Functions for Computer Game Players. Discovery Science Makoto Miwa, Daisaku Yokoyama, Takashi Chikayama
2002	J	`jnl`	Game-tree Search Algorithm based on Realization Probability. ICGA J. Yoshimasa Tsuruoka, Daisaku Yokoyama, Takashi Chikayama

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.