Daniel E. Acuna

39 papers C 1Journal 30Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Paraphrase Identification With Deep Learning: A Review of Datasets and Methods. IEEE Access Chao Zhou, Cheng Qiu, Lizhen Liang, Daniel E. Acuna
2024	J	`jnl`	Dataset Mention Extraction in Scientific Articles Using Bi-LSTM-CRF Model. CoRR Tong Zeng, Daniel E. Acuna
2024	J	`jnl`	GotFunding: A grant recommendation system based on scientific articles. CoRR Tong Zeng, Daniel E. Acuna
2024	J	`jnl`	Incorporating costs and benefits to the evaluation of uncertain research results: Applications to cancer research funding. Quant. Sci. Stud. Han Zhuang, Daniel E. Acuna
2024	J	`jnl`	Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. CoRR Tong Zeng, Daniel E. Acuna
2024	J	`jnl`	RecSOI: recommending research directions using statements of ignorance. J. Biomed. Semant. Adrien Bibal, Nourah M. Salem, Rémi Cardon, Elizabeth K. White, Daniel E. Acuna, Robin Burke, Lawrence E. Hunter
2024	J	`jnl`	Science Needs You: Mobilizing for Diversity in Award Recognition. Commun. ACM Elizabeth Novoa-Monsalve, David Patterson, Stephanie Ludi, Daniel E. Acuna
2024	J	`jnl`	The complementary contributions of academia and industry to AI research. CoRR Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna
2024	J	`jnl`	The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding
2023	J	`jnl`	A computational analysis of accessibility, readability, and explainability of figures in open access publications. EPJ Data Sci. Han Zhuang, Tzu-Yang Huang, Daniel E. Acuna
2023	J	`jnl`	The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding
2022	J	`jnl`	Paraphrase Identification with Deep Learning: A Review of Datasets and Methods. CoRR Chao Zhou, Cheng Qiu, Daniel E. Acuna
2022	—	`conf`	Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics. iConference (1) Daniel E. Acuna, Zijun Yi, Lizhen Liang, Han Zhuang
2022	J	`jnl`	Predicting the longevity of resources shared in scientific publications. CoRR Daniel E. Acuna, Jian Jian, Tong Zeng, Lizhen Liang, Han Zhuang
2021	J	`jnl`	A dataset of mentorship in science with semantic and demographic estimations. CoRR Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna
2021	C	`conf`	Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences? AIES Daniel E. Acuna, Lizhen Liang
2021	J	`jnl`	EILEEN: A recommendation system for scientific publications and grants. CoRR Daniel E. Acuna, Zijun Yi, Kartik Nagre, Priya Matnani
2021	J	`jnl`	Graphical integrity issues in open access publications: Detection and patterns of proportional ink violations. PLoS Comput. Biol. Han Zhuang, Tzu-Yang Huang, Daniel E. Acuna
2020	—	`conf`	Artificial mental phenomena: psychophysics as a framework to detect perception biases in AI models. FAT* Lizhen Liang, Daniel E. Acuna
2020	J	`jnl`	Assigning credit to scientific datasets using article citation networks. CoRR Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
2020	J	`jnl`	Assigning credit to scientific datasets using article citation networks. J. Informetrics Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
2020	—	`conf`	Don't judge a journal by its cover?: Appearance of a Journal's website as predictor of blacklisted Open-Access status. ASIST Lizhen Liang, Daniel E. Acuna
2020	J	`jnl`	Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. CoRR Daniel E. Acuna, Ziyue Xiang
2020	—	`conf`	GotFunding: A grant recommendation system based on scientific articles. ASIST Tong Zeng, Daniel E. Acuna
2020	J	`jnl`	Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models. Scientometrics Tong Zeng, Daniel E. Acuna
2020	J	`jnl`	Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. J. Open Source Softw. Titipat Achakulvisut, Daniel E. Acuna, Konrad P. Körding
2020	J	`jnl`	Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. Mainak Jas, Titipat Achakulvisut, Aid Idrizovic, Daniel E. Acuna, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar
2020	J	`jnl`	Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets. CoRR Ziyue Xiang, Daniel E. Acuna
2019	J	`jnl`	Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models. CoRR Lizhen Liang, Daniel E. Acuna
2019	J	`jnl`	Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding
2019	—	`conf`	Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years. iConference Tong Zeng, Alain Shema, Daniel E. Acuna
2019	J	`jnl`	The effect of novelty on the future impact of scientific grants. CoRR Han Zhuang, Daniel E. Acuna
2018	J	`jnl`	The Social Structure of Consensus in Scientific Review. CoRR Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans
2017	—	`conf`	Show Me Your App Usage and I Will Tell Who Your Close Friends Are: Predicting User's Context from Simple Cellphone Activity. CHI Extended Abstracts Alain Shema, Daniel E. Acuna
2016	J	`jnl`	Science Concierge: A fast content-based recommendation system for scientific publications. CoRR Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding
2014	J	`jnl`	A high-reproducibility and high-accuracy method for automated topic classification. CoRR Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel E. Acuna, Konrad P. Körding, Luís A. Nunes Amaral
2012	J	`jnl`	Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. IEEE Trans. Haptics Guy Avraham, Ilana Nisky, Hugo L. Fernandes, Daniel E. Acuna, Konrad P. Körding, Gerald E. Loeb, Amir Karniel
2008	—	`conf`	Structure Learning in Human Sequential Decision-Making. NIPS Daniel E. Acuna, Paul R. Schrater
2005	—	`conf`	Modeling expert players' behavior through data mining. SCCC Daniel E. Acuna, Víctor Parada

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.