24 citations · 26 across the 5 of their papers we have counts for
7 papers
Bridging the Omics Divide: A Modular Relational Approach to Multi-Layer Biological Data Management
Alessandro Balestrucci, Donald Friggieri, Andrea Gariboldi +1
Background: Rapid growth of high-throughput molecular data demands systems for efficient retrieval, integration, and scalability across omics layers. Traditional file-based workflo…
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
Vlastimil Martinek, Andrea Gariboldi, Dimosthenis Tzimotoudis +6
The adoption of machine learning (ML) and deep learning methods has revolutionized molecular medicine by driving breakthroughs in genomics, transcriptomics, drug discovery, and bio…
On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach
Marco Anisetti, Claudio A. Ardagna, Alessandro Balestrucci +3
Machine learning is becoming ubiquitous. From finance to medicine, machine learning models are boosting decision-making processes and even outperforming humans in some tasks. This…
A Behavioural Analysis of Credulous Twitter Users
Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi +1
Thanks to platforms such as Twitter and Facebook, people can know facts and events that otherwise would have been silenced. However, social media significantly contribute also to f…
Credulous Users and Fake News: a Real Case Study on the Propagation in Twitter
Alessandro Balestrucci, Rocco De Nicola
Recent studies have confirmed a growing trend, especially among youngsters, of using Online Social Media as favourite information platform at the expense of traditional mass media.…
How many bots are you following?
Alessandro Balestrucci
Social Media are evolving as a pervasive source of news able to reach a larger audience through their spreading power. The main drawback is given by the presence of malicious accou…
Do you really follow them? Automatic detection of credulous Twitter users
Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi +1
Online Social Media represent a pervasive source of information able to reach a huge audience. Sadly, recent studies show how online social bots (automated, often malicious account…