MindTheDApp: A Toolchain for Complex Network-Driven Structural Analysis of Ethereum-based Decentralised Applications

no code implementations • 3 Oct 2023 • Giacomo Ibba, Sabrina Aufiero, Silvia Bartolucci, Rumyana Neykova, Marco Ortu, Roberto Tonelli, Giuseppe Destefanis

This paper presents MindTheDApp, a toolchain designed specifically for the structural analysis of Ethereum-based Decentralized Applications (DApps), with a distinct focus on a complex network-driven approach.

A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions

no code implementations • 16 May 2023 • Giuseppe Destefanis, Silvia Bartolucci, Marco Ortu

This paper evaluates the capability of two state-of-the-art artificial intelligence (AI) models, GPT-3. 5 and Bard, in generating Java code given a function description.

Code Generation

On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

no code implementations • 13 Feb 2021 • Marco Ortu, Nicola Uras, Claudio Conversano, Giuseppe Destefanis, Silvia Bartolucci

This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning algorithms.

General Classification Time Series Analysis +1

The Prevalence of Errors in Machine Learning Experiments

no code implementations • 10 Sep 2019 • Martin Shepperd, Yuchen Guo, Ning li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi

Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain of software defect prediction.

BIG-bench Machine Learning