Patara Trirat - RankMe

16 papers A* 4B 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TS-Debate: Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning. CoRR Patara Trirat, Jin Myung Kwak, Jay Heo, Heejun Lee, Sung Ju Hwang
2025	J	`jnl`	Agentic Predictor: Performance Prediction for Agentic Workflows via Multi-View Encoding. CoRR Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2025	A*	`conf`	AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. ICML Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2025	J	`jnl`	Large language models are zero-shot point-of-interest recommenders. Data Min. Knowl. Discov. Joeun Kim, Youngjin Seo, Yeonsoo Kim, Junhyeok Kang, Jeeho Shin, Patara Trirat, Jae-Gil Lee
2025	—	`conf`	MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. EMNLP (Findings) Patara Trirat, Jae-Gil Lee
2025	J	`jnl`	MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices. CoRR Patara Trirat, Jae-Gil Lee
2025	J	`jnl`	PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time Series. IEEE Trans. Emerg. Top. Comput. Intell. Patara Trirat, Jae-Gil Lee
2025	J	`jnl`	TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring. Mach. Learn. Patara Trirat, Jae-Gil Lee
2024	J	`jnl`	AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML. CoRR Patara Trirat, Wonyong Jeong, Sung Ju Hwang
2024	J	`jnl`	Universal Time-Series Representation Learning: A Survey. CoRR Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye Na, Minyoung Bae, Joeun Kim, Byunghyun Kim, Jae-Gil Lee
2023	A*	`conf`	AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series. AAAI Patara Trirat, Youngeun Nam, Taeyoon Kim, Jae-Gil Lee
2023	—	`conf`	Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses. ECML/PKDD (6) Youngeun Nam, Patara Trirat, Taeyoon Kim, Youngseop Lee, Jae-Gil Lee
2023	J	`jnl`	MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction. IEEE Trans. Intell. Transp. Syst. Patara Trirat, Susik Yoon, Jae-Gil Lee
2021	A*	`conf`	DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. WWW Patara Trirat, Jae-Gil Lee
2020	B	`conf`	IntelliMOOC: Intelligent Online Learning Framework for MOOC Platforms. EDM Patara Trirat, Sakonporn Noree, Mun Yong Yi
2019	A*	`conf`	CEP-Wizard: Automatic Deployment of Distributed Complex Event Processing. ICDE Yooju Shin, Susik Yoon, Patara Trirat, Jae-Gil Lee

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.