Elif Ozkirimli

12 papers Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Computational Software for Training Robust Drug-Target Affinity Prediction Models: pydebiaseddta. J. Comput. Biol. Melih Barsbey, Riza Özçelik, Alperen Bag, Berk Atil, Arzucan Özgür, Elif Ozkirimli
2023	J	`jnl`	A Framework for Improving the Generalizability of Drug-Target Affinity Prediction Models. J. Comput. Biol. Riza Özçelik, Alperen Bag, Berk Atil, Melih Barsbey, Arzucan Özgür, Elif Ozkirimli
2023	J	`jnl`	Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez
2022	J	`jnl`	A Survey on Causal Discovery: Theory and Practice. Int. J. Approx. Reason. Alessio Zanga, Elif Ozkirimli, Fabio Stella
2021	—	`conf`	Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution. EMNLP (1) Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli
2021	J	`jnl`	Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution. CoRR Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli
2021	J	`jnl`	Extraction of Medication Names from Twitter Using Augmentation and an Ensemble of Language Models. CoRR Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Diego Saldana, Yi Huang, Alessandro La Torraca, Elif Ozkirimli
2021	J	`jnl`	Labels in a haystack: Approaches beyond supervised learning in biomedical applications. Patterns Artur Yakimovich, Anaël Beaugnon, Yi Huang, Elif Ozkirimli
2021	—	`conf`	PIDNA at BioASQ MESINESP: Hybrid Semantic Indexing for Biomedical Articles in Spanish. CLEF (Working Notes) Yi Huang, Buse Giledereli, Abdullatif Köksal, Arzucan Özgür, Elif Ozkirimli
2020	—	`conf`	Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. NLP4COVID@EMNLP Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür
2020	J	`jnl`	Vapur: A Search Engine to Find Related Protein - Compound Pairs in COVID-19 Literature. CoRR Abdullatif Köksal, Hilal Dönmez, Riza Özçelik, Elif Ozkirimli, Arzucan Özgür
2019	J	`jnl`	Synthesis and biological evaluation of indole-2-carbohydrazides and thiazolidinyl-indole-2-carboxamides as potent tubulin polymerization inhibitors. Comput. Biol. Chem. Fusun Kazan, Z. Begum Yagci, Ruoli Bai, Elif Ozkirimli, Ernest Hamel, Sumru Ozkirimli

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.