G
Giacomo Abbattista
Researcher at University of Bari
Publications - 4
Citations - 5
Giacomo Abbattista is an academic researcher from University of Bari. The author has contributed to research in topics: Deep learning & Support vector machine. The author has co-authored 4 publications.
Papers
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Journal ArticleDOI
A comparative study of shallow learning and deep transfer learning techniques for accurate fingerprints vitality detection
TL;DR: Accuracies suggest that both shallow learning and deep learning techniques are on par with the accuracies of reviewed works and thus transfer learning in fingerprint liveness detection is a feasible strategy that deserve attention and future research with the aim of increasing fingerprint detection accuracies.
Proceedings ArticleDOI
Double Deep Q Network with In-Parallel Experience Generator
TL;DR: An algorithm is crafted, and added to the Double Deep Q-Learning algorithm, that aims to perturbs the weights of the online network, and as results, the network, trying to recover from the perturbed weights, escapes from the local minima.
Book ChapterDOI
Non-Invasive Personalized In-Store Location-Based Marketing: A Practical Use Case
Vincenzo Dentamaro,Donato Impedovo,Giuseppe Pirlo,Giacomo Abbattista,Vincenzo Gattulli,Cosimo Alessandro Buscicchio,Claudia Maria Fiore +6 more
TL;DR: This chapter shows a practical end-to-end solution that allows the integration of noninvasive location-based marketing advertisements finally binding physical and virtual in-store customer presence and creating ideal circumstances for custom omnichannel marketing.
Journal ArticleDOI
Effective Machine Learning Solutions for Punctual Weather Parameter Forecasting in a Real Missing Data Scenario
Donato Impedovo,Giacomo Abbattista,Nicola Convertini,Vincenzo Gattulli,Giuseppe Pirlo,L. Sarcinella +5 more
TL;DR: In this article, the authors considered the use of the Internet of Things (IoT) and machine learning (ML) for the agricultural sector within a real-working scenario.