Laura La Paglia

19 papers B 2C 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Identification of Key Genomic Variants for The Early Detection of Alzheimer's Disease: An Explainable Approach. ICBRA Anna Catarinolo, Massimo La Rosa, Laura La Paglia, Alfonso Urso, Antonino Fiannaca
2025	J	`jnl`	Multi-Task Attention-Guided Deep Learning for Simultaneous Breast Cancer Detection and Density Estimation in Mammography. IEEE Access Gani Esen, Marat Nurtas, Laura La Paglia, Jandos Amankulov, Bazargul Matkerim, Aizhan Altaibek
2024	—	`conf`	A Deep Learning Multi-omics Framework to Combine Microbiome and Metabolome Profiles for Disease Classification. ICANN (8) Andrea Licciardi, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso, Laura La Paglia
2024	B	`conf`	A deep learning framework for disease classification integrating microbiome and metabolome: explaining multi-omics contribution. KES Andrea Licciardi, Antonino Fiannaca, Massimo La Rosa, Alfonso Urso, Laura La Paglia
2024	B	`conf`	Explainable artificial intelligence models for key-metabolites identification in overweight subjects. KES Isabella Mendolia, Antonino Fiannaca, Laura La Paglia, Alfonso Urso, Massimo La Rosa
2023	J	`jnl`	GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. Briefings Bioinform. Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Salvatore Gaglio, Alfonso Urso
2022	C	`conf`	A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data. EANN Gianmarco Coppola, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Alfonso Urso, Salvatore Gaglio
2020	J	`jnl`	BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics. BMC Bioinform. Alfonso Urso, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Giosuè Lo Bosco, Riccardo Rizzo
2020	J	`jnl`	miRTissue BMC Bioinform. Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Riccardo Rizzo, Alfonso Urso
2019	J	`jnl`	MiRNA therapeutics based on logic circuits of biological pathways. BMC Bioinform. Valeria Boscaino, Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Riccardo Rizzo, Alfonso Urso
2018	J	`jnl`	BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources. BMC Syst. Biol. Antonio Messina, Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Alfonso Urso
2018	J	`jnl`	Deep learning models for bacteria taxonomic classification of metagenomic data. BMC Bioinform. Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosuè Lo Bosco, Giovanni Renda, Riccardo Rizzo, Salvatore Gaglio, Alfonso Urso
2018	—	`conf`	Identification of Key miRNAs in Regulation of PPI Networks. CIBB Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Giosuè Lo Bosco, Riccardo Rizzo, Alfonso Urso
2017	—	`conf`	Gremlin Language for Querying the BiographDB Integrated Biological Database. IWBBIO (1) Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Antonio Messina, Riccardo Rizzo, Dario Stabile, Alfonso Urso
2017	J	`jnl`	nRC: non-coding RNA Classifier based on structural features. BioData Min. Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo, Alfonso Urso
2016	—	`conf`	A Problem-Driven Approach for Building a Bioinformatics GraphDB. CIBB Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Antonio Messina, Riccardo Rizzo, Alfonso Urso
2016	—	`conf`	Integrated DB for Bioinformatics: A Case Study on Analysis of Functional Effect of MiRNA SNPs in Cancer. ITBAM Antonino Fiannaca, Laura La Paglia, Massimo La Rosa, Antonio Messina, Pietro Storniolo, Alfonso Urso
2016	J	`jnl`	MiRNATIP: a SOM-based miRNA-target interactions predictor. BMC Bioinform. Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo, Alfonso Urso
2015	J	`jnl`	Analysis of miRNA expression profiles in breast cancer using biclustering. BMC Bioinform. Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Riccardo Rizzo, Alfonso Urso

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.