Project Risk Management (PRM) is a critical component of modern project governance, ensuring that uncertainties are systematically identified, assessed, and mitigated to minimize their impact on project outcomes. However, existing PRM practices remain largely…
Parkinson's disease is characterised by the presence of motor and non-motor symptoms within a complex diagnosis prone to errors. To support this process, Machine Learning models have been developed to distinguish Parkinson's patients from other pathologies wit…
The growing complexity of Deep Learning models, particularly Convolutional Neural Networks (CNNs), presents a fundamental challenge in critical applications: the opacity of their decisionmaking processes. This thesis addresses this interpretability gap by prop…
Wastewater treatment plants (WWTPs) play a crucial role in protecting public health and the environment by removing contaminants before releasing them back into the environment. However, efficient management of these plants can be challenging because of the co…
Nel ripensare alla me stessa di ormai quasi 5 anni fa, appena laureata ed un po' "smarrita" rispetto alle diverse strade che potessi avere di fronte, mi piace sempre ricordare di come, quasi per caso, mi fossi affacciata al mondo della ricerca, intraprendendo…
ML models have shown remarkable performance in predictions in genomic cancer applications but experience the black-box problem. Where complicated processes of decision making remain non transparent to healthcare professionals and researchers. This absence of i…
The integration of Artificial Intelligence (AI) into the domain of medical diagnostics has ushered in a new era of precision, speed, and reliability, particularly in the analysis of medical imaging. Among the most promising applications is the use of Machine L…
Background The rapid growth of medical literature necessitates effective, transparent automation tools for classification. Generative large language models (LLMs), including the Generative Pre-trained Transformer (GPT), have the potential to provide transparen…
Structural resilience and safety are critical concerns in modern infrastructure, particularly in the face of increasing seismic risks and aging buildings. While advanced artificial intelligence (AI) techniques offer promising solutions for structural design, d…
Artificial Intelligence (AI) models are increasingly being deployed in various critical domains, such as healthcare, finance, law, and autonomous systems, resulting in remarkable benefits for the society. Due to black-box (sub-symbolic) nature, these AI models…
The growing integration of Artificial Intelligence (AI) into public administration challenges a fundamental pillar of the rule of law: the duty to give reasons for decisions. The opacity of advanced models, such as Deep Learning ("black boxes"), creates a dire…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
