Zobrazeno 1 - 10
of 2 143
pro vyhledávání: '"Apicella, P"'
Unmanned Aerial Vehicles (UAVs) have become widely used in various fields and industrial applications thanks to their low operational cost, compact size and wide accessibility. However, the noise generated by drone propellers has emerged as a signifi
Externí odkaz:
http://arxiv.org/abs/2410.22208
Visual affordance segmentation identifies image regions of an object an agent can interact with. Existing methods re-use and adapt learning-based architectures for semantic segmentation to the affordance segmentation task and evaluate on small-size d
Externí odkaz:
http://arxiv.org/abs/2409.01814
The state-of-the-art proposes Life Care Annuities, that have been recently designed as variable annuity contracts with Long-Term Care payouts and Guaranteed Lifelong Withdrawal Benefits. In this paper, we propose more general features for these insur
Externí odkaz:
http://arxiv.org/abs/2404.02858
Modern Artificial Intelligence (AI) systems, especially Deep Learning (DL) models, poses challenges in understanding their inner workings by AI researchers. eXplainable Artificial Intelligence (XAI) inspects internal mechanisms of AI models providing
Externí odkaz:
http://arxiv.org/abs/2403.10373
Machine Learning (ML) has revolutionized various domains, offering predictive capabilities in several areas. However, with the increasing accessibility of ML tools, many practitioners, lacking deep ML expertise, adopt a "push the button" approach, ut
Externí odkaz:
http://arxiv.org/abs/2401.13796
Autor:
Apicella, Tommaso, Xompero, Alessio, Ragusa, Edoardo, Berta, Riccardo, Cavallaro, Andrea, Gastaldo, Paolo
Visual affordance segmentation identifies the surfaces of an object an agent can interact with. Common challenges for the identification of affordances are the variety of the geometry and physical properties of these surfaces as well as occlusions. I
Externí odkaz:
http://arxiv.org/abs/2308.11233
In the context of classification problems, Deep Learning (DL) approaches represent state of art. Many DL approaches are based on variations of standard multi-layer feed-forward neural networks. These are also referred to as deep networks. The basic i
Externí odkaz:
http://arxiv.org/abs/2306.06146
Explainable Artificial Intelligence (XAI) aims to provide insights into the decision-making process of AI models, allowing users to understand their results beyond their decisions. A significant goal of XAI is to improve the performance of AI models
Externí odkaz:
http://arxiv.org/abs/2306.05801
Autor:
Apicella, Andrea, Arpaia, Pasquale, D'Errico, Giovanni, Marocco, Davide, Mastrati, Giovanna, Moccaldi, Nicola, Prevete, Roberto
Publikováno v:
Neurocomputing, 2024
A systematic review on machine-learning strategies for improving generalizability (cross-subjects and cross-sessions) electroencephalography (EEG) based in emotion classification was realized. In this context, the non-stationarity of EEG signals is a
Externí odkaz:
http://arxiv.org/abs/2212.08744
Autor:
Michael A. Apicella, Jennifer L. Edwards, Margaret R. Ketterer, David S. Weiss, Yuan Zhang, Freda E.-C. Jen, Michael P. Jennings
Publikováno v:
mBio, Vol 15, Iss 10 (2024)
ABSTRACT Contact-dependent hemolysins are virulence factors in a number of human pathogens, including Helicobacter pylori, Rickettsia typhi, Bartonella bacilliformis, Mycobacterium tuberculosis, entero-invasive Escherichia coli, and Shigella. Here we
Externí odkaz:
https://doaj.org/article/b83cc134a9e54f84ae257adcedf8062e
