20 hasil untuk "Francesca Fallucchi"
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Emotional Framing in Prompts Modulates Large Language Model Performance
Large Language Models (LLMs) demonstrate remarkable performance across a variety of natural language understanding tasks, yet their sensitivity to emotional framing in user prompts remains underexplored. This paper presents an empirical study investigating how four emotional tones—joy, apathy…
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Puzzle Pattern, a Systematic Approach to Multiple Behavioral Inheritance Implementation in Object-Oriented Programming
Object-oriented programming (OOP) has long been a dominant paradigm in software development, but it is not without its challenges. One major issue is the problem of tight coupling between objects, which can hinder flexibility and make it difficult to modify or extend code. Additionally, the…
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CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series
When analyzing a financial asset, it is essential to study the trend of its time series. It is also necessary to examine its evolution and activity over time to statistically analyze its possible future behavior. Both retail and institutional investors base their trading strategies on these…
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Dis-Cover AI Minds to Preserve Human Knowledge
Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. The structure of symbols—the operations by which the intellectual…
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Visualization, Interaction and Analysis of Heterogeneous Textbook Resources
Historically grown research projects, run by researchers with limited understanding of data sustainability, data reusability and standards, often lead to data silos. While the data are very valuable it can not be used by any service except the tool it was prepared for. Over the years, the number of…
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Teaching an Algorithm How to Catalog a Book
This paper presents a study of a strategy for automated cataloging within an OPAC or for online bibliographic catalogs generally. The aim of the analysis is to offer a set of results, while searching in library catalogs, that goes further than the expected one-to-one term correspondence. The goal…
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Advances in Smart Environments and Digital Twin: Current Trends and Future Directions
Ubiquitous miniaturisation and increasing computer performance allow technical solutions to be used more often in everyday life to support end users [...]
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Shedding Light on the Dark Web: Authorship Attribution in Radical Forums
Online users tend to hide their real identities by adopting different names on the Internet. On Facebook or LinkedIn, for example, people usually appear with their real names. On other standard websites, such as forums, people often use nicknames to protect their real identities. Aliases are used…
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Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled
Hate speech recognizers (HSRs) can be the panacea for containing hate in social media or can result in the biggest form of prejudice-based censorship hindering people to express their true selves. In this paper, we hypothesized how massive use of syntax can reduce the prejudice effect in HSRs. To…
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Predicting Employee Attrition Using Machine Learning Techniques
There are several areas in which organisations can adopt technologies that will support decision-making: artificial intelligence is one of the most innovative technologies that is widely used to assist organisations in business strategies, organisational aspects and people management. In recent…
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Communication Network Architectures for Driver Assistance Systems
Autonomous Driver Assistance Systems (ADAS) are of increasing importance to warn vehicle drivers of potential dangerous situations. In this paper, we propose one system to warn drivers of the presence of pedestrians crossing the road. The considered ADAS adopts a CNN-based pedestrian detector (PD)…
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Using Distributional Models for Studying the Influence of School Textbooks in Children Bias
School textbooks have a profound influence on shaping the thoughts of young individuals. Reducing sex, gender, and race bias in these educational materials is then an imperative social goal. Despite efforts to address bias, historical and contemporary textbooks have been found to perpetuate…
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Digital Qualitative and Quantitative Analysis of Arabic Textbooks
Digital Humanities (DH) provide a broad spectrum of functionalities and tools that enable the enrichment of both quantitative and qualitative research methods in the humanities. It has been widely recognized that DH can help in curating and analysing large amounts of data. However, digital tools…
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Pat-in-the-Loop: Declarative Knowledge for Controlling Neural Networks
The dazzling success of neural networks over natural language processing systems is imposing an urgent need to control their behavior with simpler, more direct declarative rules. In this paper, we propose Pat-in-the-Loop as a model to control a specific class of syntax-oriented neural networks by…
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Bi-Directional Adaptive Probabilistic Method With a Triangular Segmented Interpolation for Robot Path Planning in Complex Dynamic-Environments
Path planning is a fundamental aspect of mobile robots and autonomous systems. Methods of path planning are used in robotics to create a path for a robot or autonomous system to follow from a starting position to a goal one while avoiding obstacles and satisfying any additional conditions. There…
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Employee Attrition Prediction Using Deep Neural Networks
Decision-making plays an essential role in the management and may represent the most important component in the planning process. Employee attrition is considered a well-known problem that needs the right decisions from the administration to preserve high qualified employees. Interestingly…
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A Hybrid LoRa/ZigBee IoT Mesh Architecture for Real-Time Performance Monitoring in Orienteering Sport Competitions: A Measurement Campaign on Different Environments
The sport of orienteering requires athletes to reach specific points marked on a map (called “punching stations”) in the shortest possible time. Currently, the recording of athletes’ passages through the stations is performed offline. In addition to delays in generating intermediate and final…
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Satellite Data and Artificial Intelligence for FINtech
The SAIFIN project (Satellite data and Artificial Intelligence for FINtech) develops a novel algorithmic trading system that integrates satellite imagery, financial data, and advanced artificial intelligence to enhance decision-making, particularly in commodity and agricultural markets. This paper…
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Development and validation of a neural network for NAFLD diagnosis
Abstract Non-Alcoholic Fatty Liver Disease (NAFLD) affects about 20–30% of the adult population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Liver ultrasound (US) is widely used as a noninvasive method to diagnose NAFLD. However, the intensive use of US…