Barry Devereux

36 papers B 5C 1Journal 18Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Sketch to Structure: Agentic Prompting for Business Process Diagram Understanding With Vision-Language Models. IEEE Access Pritam Deka, Barry Devereux
2025	J	`jnl`	A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges. Big Data Cogn. Comput. Andrew Brown, Muhammad Roman, Barry Devereux
2025	J	`jnl`	A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges. CoRR Andrew Brown, Muhammad Roman, Barry Devereux
2025	J	`jnl`	Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Code. CoRR Pritam Deka, Barry Devereux
2025	—	`conf`	LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation. COLING Workshops Rui Guo, Barry Devereux, Greg Farnan, Niall McLaughlin
2025	—	`conf`	Small Models, Big Impact: Rethinking Scale of LLMs in Cybersecurity. FLLM Balder Villagomez, Barry Devereux
2025	J	`jnl`	Structured Extraction from Business Process Diagrams Using Vision-Language Models. CoRR Pritam Deka, Barry Devereux
2025	—	`conf`	SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction. ICDAR (Workshops 2) Ethan Bradley, Muhammad Roman, Karen Rafferty, Barry Devereux
2024	J	`jnl`	How Is a "Kitchen Chair" like a "Farm Horse"? Exploring the Representation of Noun-Noun Compound Semantics in Transformer-based Language Models. Comput. Linguistics Mark Ormerod, Jesús Martínez del Rincón, Barry Devereux
2024	—	`conf`	QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. BioNLP@ACL Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux
2024	J	`jnl`	QUB-Cirdan at "Discharge Me!": Zero shot discharge letter generation by open-source LLM. CoRR Rui Guo, Greg Farnan, Niall McLaughlin, Barry Devereux
2024	J	`jnl`	SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction. CoRR Ethan Bradley, Muhammad Roman, Karen Rafferty, Barry Devereux
2022	J	`jnl`	A zero-shot deep metric learning approach to Brain-Computer Interfaces for image retrieval. Knowl. Based Syst. Ben McCartney, Barry Devereux, Jesús Martínez del Rincón
2022	J	`jnl`	On the similarities of representations in artificial and brain neural networks for speech recognition. Frontiers Comput. Neurosci. Cai Wingfield, Chao Zhang, Barry Devereux, Elisabeth Fonteneau, Andrew Thwaites, Xunying Liu, Philip C. Woodland, William D. Marslen-Wilson, Li Su
2021	—	`conf`	Deep Learning Proteins using a Triplet-BERT network. EMBC Mark Lennox, Neil Robertson, Barry Devereux
2021	—	`conf`	Modelling Drug-Target Binding Affinity using a BERT based Graph Neural network. EMBC Mark Lennox, Neil Robertson, Barry Devereux
2021	—	`conf`	Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language Models. CMLS Steven Derby, Barry Devereux, Paul Miller
2020	B	`conf`	Analysing Word Representation from the Input and Output Embeddings in Neural Network Language Models. CoNLL Steven Derby, Paul Miller, Barry Devereux
2020	C	`conf`	Deep Metric Learning for Proteomics. ICMLA Mark Lennox, Neil Robertson, Barry Devereux
2020	J	`jnl`	Eliciting semantic properties: methods and applications. Cogn. Process. Sergio E. Chaigneau, Enrique Canessa, Alessandro Lenci, Barry Devereux
2020	B	`conf`	Encoding Lexico-Semantic Knowledge using Ensembles of Feature Maps from Deep Convolutional Neural Networks. COLING Steven Derby, Paul Miller, Barry Devereux
2020	—	`conf`	Expanding the Vocabulary of a Protein: Application of Subword Algorithms to Protein Sequence Modelling. EMBC Mark Lennox, Neil Robertson, Barry Devereux
2019	—	`conf`	Analysing Representations of Memory Impairment in a Clinical Notes Classification Model. BioNLP@ACL Mark Ormerod, Jesús Martínez del Rincón, Neil Robertson, Bernadette McGuinness, Barry Devereux
2019	—	`conf`	Feature2Vec: Distributional semantic modelling of human property knowledge. EMNLP/IJCNLP (1) Steven Derby, Paul Miller, Barry Devereux
2019	J	`jnl`	Feature2Vec: Distributional semantic modelling of human property knowledge. CoRR Steven Derby, Paul Miller, Barry Devereux
2018	—	`conf`	Representation of Word Meaning in the Intermediate Projection Layer of a Neural Language Model. BlackboxNLP@EMNLP Steven Derby, Paul Miller, Brian Murphy, Barry Devereux
2018	B	`conf`	Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge. CoNLL Steven Derby, Paul Miller, Brian Murphy, Barry Devereux
2018	J	`jnl`	Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge. CoRR Steven Derby, Paul Miller, Brian Murphy, Barry Devereux
2016	J	`jnl`	Feature Statistics Modulate the Activation of Meaning During Spoken Word Processing. Cogn. Sci. Barry Devereux, Kirsten I. Taylor, Billi Randall, Jeroen Geertzen, Lorraine K. Tyler
2014	J	`jnl`	Automatic Extraction of Property Norm-Like Data From Large Text Corpora. Cogn. Sci. Colin Kelly, Barry Devereux, Anna Korhonen
2013	J	`jnl`	Conceptual metaphor theory meets the data: a corpus-based human annotation study. Lang. Resour. Evaluation Ekaterina Shutova, Barry Devereux, Anna Korhonen
2013	B	`conf`	Minimally Supervised Learning for Unconstrained Conceptual Property Extraction. CogSci Colin Kelly, Anna Korhonen, Barry Devereux
2013	J	`jnl`	Objects and Categories: Feature Statistics and Object Processing in the Ventral Stream. J. Cogn. Neurosci. Lorraine K. Tyler, Shannon Chiu, Jie Zhuang, Billi Randall, Barry Devereux, Paul Wright, Alex Clarke, Kirsten I. Taylor
2012	—	`conf`	Semi-supervised learning for automatic conceptual property extraction. CMCL@NAACL-HLT Colin Kelly, Barry Devereux, Anna Korhonen
2010	B	`conf`	The Cambridge Cookie-Theft Corpus: A Corpus of Directed and Spontaneous Speech of Brain-Damaged Patients and Healthy Individuals. LREC Caroline Williams, Andrew Thwaites, Paula Buttery, Jeroen Geertzen, Billi Randall, Meredith A. Shafto, Barry Devereux, Lorraine K. Tyler
2005	J	`jnl`	Investigating the Relations used in Conceptual Combination. Artif. Intell. Rev. Barry Devereux, Fintan J. Costello

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.