Daniel Ruffinelli

20 papers A* 4B 1C 1Misc 1Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data. CoRR Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera Gómez, Sara Hincapié Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Chalamalasetti Kranti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Amol, Joseph Marvin Imperial, Ilker Kesen, Ahmad Mustafid, Pavel Stepachev, Leshem Choshen, David Anugraha, Hamada Nayel, Seid Muhie Yimam, Vallerie Alexandra Putra, My Chiffon Nguyen, Azmine Toushik Wasi, Gouthami Vadithya, Rob van der Goot, Lanwenn Ar C'horr, Karan Dua, Andrew Yates, Mithil Bangera, Yeshil Bangera, Hitesh Laxmichand Patel, Shu Okabe, Fenal Ashokbhai Ilasariya, Dmitry Gaynullin, Genta Indra Winata, Yiyuan Li, Juan Pablo Martínez, Amit Agarwal, Ikhlasul Akmal Hanif, Raia Abu Ahmad, Esther Adenuga, Filbert Aurelian Tjiaranata, Weerayut Buaphet, Michael Anugraha, Sowmya Vajjala, Benjamin Rice, Azril Hafizi Amirudin, Jesujoba O. Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulão, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pagès, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande Çelikkanat, Abdulhamid Abubakar, Jean Maillard, Benoît Sagot, Thibault Clérice, Kenton Murray, Sarah Luger
2025	A*	`conf`	Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks. EMNLP Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto
2025	J	`jnl`	Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks. CoRR Sotaro Takeshita, Yurina Takeshita, Daniel Ruffinelli, Simone Paolo Ponzetto
2025	A*	`conf`	Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect. EMNLP Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto
2025	J	`jnl`	Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect. CoRR Alina Klerings, Jannik Brinkmann, Daniel Ruffinelli, Simone Paolo Ponzetto
2024	J	`jnl`	Enriching Social Science Research via Survey Item Linking. CoRR Tornike Tsereteli, Daniel Ruffinelli, Simone Paolo Ponzetto
2023	—	`—`	Knowledge graph embeddings: link prediction and beyond / Ruffinelli Daniel ; Betreuer: Rainer Gemulla. Daniel Ruffinelli
2022	—	`conf`	KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2022	J	`jnl`	KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2020	—	`conf`	LibKGE - A knowledge graph embedding library for reproducible research. EMNLP (Demos) Samuel Broscheit, Daniel Ruffinelli, Adrian Kochsiek, Patrick Betz, Rainer Gemulla
2020	A*	`conf`	You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. ICLR Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla
2019	Misc	`conf`	An Introduction to AnyBURL. KI Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt
2019	A*	`conf`	Anytime Bottom-Up Rule Learning for Knowledge Graph Completion. IJCAI Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt
2019	—	`conf`	On Evaluating Embedding Models for Knowledge Base Completion. RepL4NLP@ACL Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Samuel Broscheit, Christian Meilicke
2018	—	`conf`	Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion. ISWC (1) Christian Meilicke, Manuel Fink, Yanjie Wang, Daniel Ruffinelli, Rainer Gemulla, Heiner Stuckenschmidt
2018	J	`jnl`	On Evaluating Embedding Models for Knowledge Base Completion. CoRR Yanjie Wang, Daniel Ruffinelli, Samuel Broscheit, Rainer Gemulla
2017	B	`conf`	Fast ABox Consistency Checking Using Incomplete Reasoning and Caching. RuleML+RR Christian Meilicke, Daniel Ruffinelli, Andreas Nolle, Heiko Paulheim, Heiner Stuckenschmidt
2017	J	`jnl`	Linear nearest neighbor optimization in quantum circuits: a multiobjective perspective. Quantum Inf. Process. Daniel Ruffinelli, Benjamín Barán
2017	—	`conf`	Towards Scalable Ontological Reasoning using Machine Learning. RuleML+RR (Supplement) Daniel Ruffinelli
2016	C	`conf`	A multiobjective approach to linear nearest neighbor optimization for 2D quantum circuits. CLEI Daniel Ruffinelli, Benjamín Barán

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.