Fabio Cumbo - RankMe

23 papers Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Automatic Pipeline for the Integration of Python-Based Tools into the Galaxy Platform: Application to the anvi'o Framework. CoRR Fabio Cumbo, Jayadev Joshi, Daniel J. Blankenberg
2026	J	`jnl`	Designing vector-symbolic architectures for biomedical applications: ten tips and common pitfalls. PeerJ Comput. Sci. Fabio Cumbo, Davide Chicco, Sercan Aygun, Daniel J. Blankenberg
2026	J	`jnl`	hdlib 2.0: Extending Machine Learning Capabilities of Vector-Symbolic Architectures. CoRR Fabio Cumbo, Kabir Dhillon, Daniel J. Blankenberg
2025	J	`jnl`	Feature selection with vector-symbolic architectures: a case study on microbial profiles of shotgun metagenomic samples of colorectal cancer. Briefings Bioinform. Fabio Cumbo, Simone Truglia, Emanuel Weitschek, Daniel J. Blankenberg
2025	J	`jnl`	Hyperdimensional computing in biomedical sciences: a brief review. PeerJ Comput. Sci. Fabio Cumbo, Davide Chicco
2025	J	`jnl`	Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures. CoRR Fabio Cumbo, Rui-Hao Li, Bryan A. Raubenolt, Jayadev Joshi, Abu Kaisar Mohammad Masum, Sercan Aygun, Daniel J. Blankenberg
2023	J	`jnl`	An ontology-based approach for modelling and querying Alzheimer's disease data. BMC Medical Informatics Decis. Mak. Francesco Taglino, Fabio Cumbo, Giulia Antognoli, Ivan Arisi, Mara D'Onofrio, Federico Perazzoni, Roger Voyat, Giulia Fiscon, Federica Conte, Marco Canevelli, Giuseppe Bruno, Patrizia Mecocci, Paola Bertolazzi
2023	J	`jnl`	Evaluating homophily in networks via Bioinform. Nicola Apollonio, Daniel J. Blankenberg, Fabio Cumbo, Paolo Giulio Franciosa, Daniele Santoni
2023	J	`jnl`	Ten quick tips for avoiding pitfalls in multi-omics data integration analyses. PLoS Comput. Biol. Davide Chicco, Fabio Cumbo, Claudio Angione
2023	J	`jnl`	hdlib: A Python library for designing Vector-Symbolic Architectures. J. Open Source Softw. Fabio Cumbo, Emanuel Weitschek, Daniel J. Blankenberg
2020	J	`jnl`	A Brain-Inspired Hyperdimensional Computing Approach for Classifying Massive DNA Methylation Data of Cancer. Algorithms Fabio Cumbo, Eleonora Cappelli, Emanuel Weitschek
2020	—	`conf`	An In-Memory Cognitive-Based Hyperdimensional Approach to Accurately Classify DNA-Methylation Data of Cancer. DEXA Workshops Fabio Cumbo, Emanuel Weitschek
2019	—	`conf`	Extending Knowledge on Genomic Data and Metadata of Cancer by Exploiting Taxonomy-Based Relaxed Queries on Domain-Specific Ontologies. CIBB Eleonora Cappelli, Emanuel Weitschek, Fabio Cumbo
2019	—	`conf`	Smart Persistence and Accessibility of Genomic and Clinical Data. DEXA Workshops Eleonora Cappelli, Emanuel Weitschek, Fabio Cumbo
2018	—	`conf`	An ontology-based approach to improve data querying and organization of Alzheimer's Disease data. BIBM Ivan Arisi, Paola Bertolazzi, Eleonora Cappelli, Federica Conte, Fabio Cumbo, Giulia Fiscon, Michele Sonnessa, Francesco Taglino
2018	J	`jnl`	Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers. Big Data Res. Fabrizio Celli, Fabio Cumbo, Emanuel Weitschek
2018	J	`jnl`	Classification of large DNA methylation datasets for identifying cancer drivers. CoRR Fabrizio Celli, Fabio Cumbo, Emanuel Weitschek
2018	—	`conf`	Classifying Big DNA Methylation Data: A Gene-Oriented Approach. DEXA Workshops Emanuel Weitschek, Fabio Cumbo, Eleonora Cappelli, Giovanni Felici, Paola Bertolazzi
2018	J	`jnl`	IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales. Bioinform. Marzia A. Cremona, Alessia Pini, Fabio Cumbo, Kateryna D. Makova, Francesca Chiaromonte, Simone Vantini
2017	J	`jnl`	TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome Atlas. BMC Bioinform. Fabio Cumbo, Giulia Fiscon, Stefano Ceri, Marco Masseroli, Emanuel Weitschek
2016	—	`conf`	COSYS: A Computational Infrastructure for Systems Biology. CIBB Fabio Cumbo, Marco S. Nobile, Chiara Damiani, Riccardo Colombo, Giancarlo Mauri, Paolo Cazzaniga
2016	—	`conf`	Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer. DEXA Workshops Emanuel Weitschek, Fabio Cumbo, Eleonora Cappelli, Giovanni Felici
2016	—	`conf`	IRIS-TCGA: An Information Retrieval and Integration System for Genomic Data of Cancer. CIBB Fabio Cumbo, Emanuel Weitschek, Paola Bertolazzi, Giovanni Felici

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.