Sagar Uprety - RankMe

26 papers A* 2B 1Misc 2Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	TermInformer: unsupervised term mining and analysis in biomedical literature. Neural Comput. Appl. Prayag Tiwari, Sagar Uprety, Shahram Dehdashti, M. Shamim Hossain
2025	—	`conf`	Using Large Language Models for Hypotheses and Claims Extraction from Scientific Literature. WWW (Companion Volume) Sagar Uprety, Boyana Buyuklieva, Prayag Tiwari
2025	—	`conf`	Weather Prediction on Mars as a Multivariate Time Series Forecasting Problem. DARES@ECAI Sagar Uprety, Amel Bennaceur, Carlos Gavidia-Calderon, James Holmes, Manish Patel, Kylash Rajendran
2024	J	`jnl`	Investigating Context Effects in Similarity Judgements in Large Language Models. CoRR Sagar Uprety, Amit Kumar Jaiswal, Haiming Liu, Dawei Song
2024	J	`jnl`	Learning interactions across sentiment and emotion with graph attention network and position encodings. Pattern Recognit. Lett. Ao Jia, Yazhou Zhang, Sagar Uprety, Dawei Song
2023	A*	`conf`	CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations. NeurIPS Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Qiuchi Li, Jing Qin
2023	B	`conf`	MIP-GAT: A Multi-Task Interactive Graph Attention Network with Position Encodings for Joint Sentiment Classification and Emotion Recognition. CogSci Ao Jia, Yazhou Zhang, Sagar Uprety, Dawei Song
2022	—	`conf`	Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding. NAACL-HLT Ao Jia, Yu He, Yazhou Zhang, Sagar Uprety, Dawei Song, Christina Lioma
2021	J	`jnl`	A Survey of Quantum Theory Inspired Approaches to Information Retrieval. ACM Comput. Surv. Sagar Uprety, Dimitris Gkoumas, Dawei Song
2021	—	`—`	Investigation and modelling of quantum-like user cognitive behaviour in information access and retrieval. Sagar Uprety
2020	J	`jnl`	A Survey of Quantum Theory Inspired Approaches to Information Retrieval. CoRR Sagar Uprety, Dimitris Gkoumas, Dawei Song
2020	—	`conf`	Quantum-Like Structure in Multidimensional Relevance Judgements. ECIR (1) Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci
2020	J	`jnl`	Quantum-like Structure in Multidimensional Relevance Judgements. CoRR Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci
2019	Misc	`conf`	Modelling Dynamic Interactions Between Relevance Dimensions. ICTIR Sagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song
2019	J	`jnl`	Modelling Dynamic Interactions between Relevance Dimensions. CoRR Sagar Uprety, Shahram Dehdashti, Lauren Fell, Peter Bruza, Dawei Song
2018	—	`conf`	Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval. QI Sagar Uprety, Dimitris Gkoumas, Dawei Song
2018	J	`jnl`	Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval. CoRR Sagar Uprety, Dimitris Gkoumas, Dawei Song
2018	—	`conf`	Investigating Non-classical Correlations Between Decision Fused Multi-modal Documents. QI Dimitris Gkoumas, Sagar Uprety, Dawei Song
2018	Misc	`conf`	Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. ICTIR Sagar Uprety, Dawei Song
2018	J	`jnl`	Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. CoRR Sagar Uprety, Dawei Song
2018	J	`jnl`	Investigating non-classical correlations between decision fused multi-modal documents. CoRR Dimitris Gkoumas, Sagar Uprety, Dawei Song
2018	A*	`conf`	Modeling Multidimensional User Relevance in IR using Vector Spaces. SIGIR Sagar Uprety, Yi Su, Dawei Song, Jingfei Li
2018	J	`jnl`	Modeling Multidimensional User Relevance in IR using Vector Spaces. CoRR Sagar Uprety, Yi Su, Dawei Song, Jingfei Li
2018	—	`conf`	Quantum-Inspired Complex Word Embedding. Rep4NLP@ACL Qiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song
2018	J	`jnl`	Quantum-inspired Complex Word Embedding. CoRR Qiuchi Li, Sagar Uprety, Benyou Wang, Dawei Song
2018	J	`jnl`	Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach. CoRR Sagar Uprety, Dawei Song

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.