The chapters in this dissertation provide a way of tracing out a history of sorts; of how households and people coped with negative shocks in the past: through cooperative land tenure arrangements and collectives, and now: through technological platforms that follow the “economi…
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Artificial intelligence is currently poised to expand into complex problem spaces, such as medicine, law enforcement, and other high stakes domains. For applications such as decision support to be trustworthy and helpful, the system must account for the individual context and nu…
As entrepreneurial funding supports the growth of entrepreneurial firms, it can be viewed as the fuel that enhances the creation, development, and growth of new technologies, industries, and markets. However, investing in entrepreneurial firms is highly risky. For example, Ventu…
Model interpretability may be defined as the degree to which a human can understand the cause of its outputs. In statistical modeling there is a trade-off between interpretability and prediction accuracy: interpretable models are usually less accurate, whereas complex models hav…
Este trabalho tem como objetivo prever o resultado em forma de vitória/empate/derrota do confronto de duas equipas de futebol usando redes neuronais artificiais e dados estatísticos da performance das duas equipas e seus jogadores ao longo do tempo. É também um objetivo verifica…
Variable mixtures of CO 2 ice, H 2 O ice, and dust in volatile exposures at the south pole of Mars influence interactions with the atmosphere that drive their formation, evolution, and eventual preservation as long-term climate records. However, ice composition in the south pola…
Probabilistic models are often used in practice to represent and reason about uncertainty. A key reasoning task over them is finding the most probable assignment to all the unobserved variables given observations. This task called the most probable explanation (MPE) task has sev…
Indoor thermal comfort in residential buildings is usually achieved by tenants manually adjusting fixed temperature set-points; this is known as a 'static' method. Prior research has explored automated control of thermal comfort based on the concept of a Predicted Mean Vote (PMV…
Global warming arises from an energy imbalance where increased radiative forcing from greenhouse gases traps additional heat in the Earth system. Over recent decades, more than 90% of this heat has gone into the ocean, causing thermal expansion that leads to sea level rise. Addi…
Machine learning-based decision support systems bring relief to the decision-makers in many domains such as loan application acceptance, dating, hiring, granting parole, insurance coverage, and medical diagnoses. These support systems facilitate processing tremendous amounts of …
Can the California grid support 100% renewables and 100% EVs? Rigorous analysis in this area says the answer is yes, but this would require large energy storage and charging EVs during the day. Doubling green energy imports, such as Canadian hydro, will be also required. This th…
This study predicts the presence or absence of terrorism in Europe at a previously unexplored spatial scale. Dependent variables consisted of satellite imagery and socio-environmental data. Five machine learning models were evaluated over a binary classification problem, the pre…
Com a expansão da agropecuária brasileira, o aumento da exportação e do rigor na garantia de segurança alimentar é cada vez mais urgente existindo a necessidade de investir em tecnologias voltadas para a gestão de seus processos produtivos. Medir, planear, melhorar os resultados…
In 2020, COVID-19 became the first pandemic in the world’s history that brought the entire world to an abrupt and unexpected halt. Since the first reported case of the disease to date, the novel coronavirus has been able to wreak havoc in literary every corner of the globe and l…
We live in an era of big data, brought on by the advent of automatic large-scale data acquisition in many industries. Machine learning can be used to take advantage of large data sets, predicting otherwise unknown information from them. The Minnesota County Well Index (CWI) data…
Inpatient falls are a serious cause of fatal and non-fatal injuries among patients of all ages leading to disability and stillness. The post-fall treatment comes with rising medical costs and a stressful recovery phase. The present assessment tools align with analyzing causes of…
Spanning the Universe's history from its first moments to the present, this dissertation covers most of the Universe's history and the bulk of its constituents. With the most basic properties of neutrinos still not well understood, the neutrino sector may harbor yet undiscovered…
Opinion Mining plays a vital role in social networking sites like Twitter, where users share their opinions, and by analyzing the responses (likes, comments, and shares), we can obtain product popularity. Opinion Maximization (OM) is a variant of influence maximization (IM). Unl…
This dissertation proposes to develop, leverage, and apply machine learning algorithms on various smart grid applications including state estimation, false data injection attack detection, and reliability evaluation. The dissertation is divided into four parts as follows.. Part …