Latest AI and machine learning research in surveys for healthcare professionals.
Visual Grounding is also known as Referring Expression Comprehension and Phrase Grounding. It involves localizing a natural number of specific regions within an image based on a given textual description. The objective of this task is to emulate the prevalent referential relationships in social conversations, equipping machines with human-like multimodal comprehension capabilities. Consequently,...
The collection of updated data on social contact patterns following the COVID-19 pandemic disruptions is crucial for future epidemiological assessments and evaluating non-pharmaceutical interventions (NPIs) based on physical distancing. We conducted two waves of an online survey in March 2022 and March 2023 in Italy, gathering data from a representative population sample on direct (verbal/physic...
Graph Mamba, a powerful graph embedding technique, has emerged as a cornerstone in various domains, including bioinformatics, social networks, and r...
Multimodal machine learning models, such as those that combine text and image modalities, are increasingly used in critical domains including public...
The advancements in deep learning, particularly the introduction of transformers, have been pivotal in enhancing various natural language processing...
The rapid advancements in satellite remote sensing have enhanced the capability to monitor and analyze the Earth's surface. Among the many variables...
This systematic literature review investigates perceptions, concerns, and expectations of young digital citizens regarding privacy in artificial int...
The DESI Legacy Imaging Surveys (DESI-LIS) comprise three distinct surveys: the Dark Energy Camera Legacy Survey (DECaLS), the Beijing-Arizona Sky S...
Recently, 3D generative domain adaptation has emerged to adapt the pre-trained generator to other domains without collecting massive datasets and ca...
Smart spaces are ubiquitous computing environments that integrate diverse sensing and communication technologies to enhance space functionality, opt...
Blockchain technology has emerged as a transformative tool for data management in a variety of industries, including fintech, research and healthcar...
Language models are increasingly being incorporated as components in larger AI systems for various purposes, from prompt optimization to automatic e...
In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is impe...
Foundation model (FM) powered agent services are regarded as a promising solution to develop intelligent and personalized applications for advancing...
Most MOOC platforms either use simple schemes for aggregating peer grades, e.g., taking the mean or the median, or apply methodologies that increase...
CNNs have become one of the most commonly used computational tool in the past two decades. One of the primary downsides of CNNs is that they work as...
Generalized Category Discovery is a significant and complex task that aims to identify both known and undefined novel categories from a set of unlab...
The growing importance of real-time simulation in the medical field has exposed the limitations and bottlenecks inherent in the digital representati...
This study investigates the trade-offs between fairness, privacy, and utility in image classification using machine learning (ML). Recent research s...
The risk-controlling prediction sets (RCPS) framework is a general tool for transforming the output of any machine learning model to design a predic...