24663 research outputs found
Sort by
Explaining Tourism Expenditure Patterns in Italy: A Comparative Study of Domestic and Incoming Tourists Using XGBoost and SHAP
No full textThis study introduces a novel approach in analyzing the determinants of tourism expenditure in Italy, with a particular focus on the differences between domestic and incoming tourism. The analysis is based on microdata from two surveys: ISTAT’s “Travels and Holidays” and the Bank of Italy’s “International Tourism”. Expenditure forecasts for both categories were calculated using the eXtreme Gradient Boosting (XGBoost) machine learning algorithm, ensuring high predictive accuracy. To identify the main variables influencing tourism expenditure, SHapley Additive exPlanations (SHAP) values were calculated, providing a deeper interpretation of the contribution of each one of them. The results highlight both differences and common points in the determinants driving domestic and incoming tourism expenditure, underscoring the need for targeted policy interventions to address the distinct characteristics of these two segments. The methodological integration of machine learning techniques and SHAP values offers a tool for understanding and forecasting tourism expenditure trends in Italy, with relevant implications for policymakers and industry stakeholders
Generative AI
No full textThis book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI
Sentix
No full textSentix is an affective lexicon for the Italian language, created in 2013, and available via the sentixR R package on GitHub since 2019 (Basile, 2019-2024). Sentix 3.0 represents a major update, incorporating an expanded set of lemmas (63,660 entries), with associated polarity scores (ranging from -1 to +1) and categorical polarity classifications (Positive, Neutral, Negative)
A critical appraisal on emmer wheat composition and its potential health beneficial effect
No full text
Tourism Satellite Accounts: preliminary estimation of production, value added, and internal tourism consumption for year 2022
No full text
I VATICINIA PONTIFICUM: EDIZIONE, COMMENTO STORICO E CATALOGO
No full textThis thesis focuses on the Vaticinia pontificum, a prophetic-escatological work consisting of three illustrated papal prophecies: Genus Nequam (13th-14th century), Ascende Calve (first half of the 14th century) and Vaticinia pontificum (formed from the union of the previous two, dating from the early 15th century). This thesis is the result of an initial comprehensive study, analysed from an interdisciplinary perspective, i.e. from a historical, literary and philological point of view. The corpus comprises around 95 manuscripts and 202 printed editions, many of which have never been published before. The success of the Vaticinia has been colossal: with this research we are offering the scientific community, for the first time, a first recensio of the manuscripts and printed editions, which testifies to the importance that these prophecies had from the end of the Middle Ages onwards.
We intend to continue working on the Vaticinia and, in time, produce a critical edition