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…
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The progressing global digitalization is driving innovative network technologies, computation platforms, and data-driven services. The number of components such as sensors, actuators, computing, storage, and network nodes, as well as a variety of service applications increases a…
In dieser Arbeit entwickeln wir schnellere exakte Algorithmen (schneller bezüglich der Worst-Case-Laufzeit) für Spezialfälle von Graphproblemen. Diese Algorithmen beruhen größtenteils auf dynamischem Programmieren und auf 2- SAT-Programmierung . Dynamisches Programmieren beschre…
No âmbito empresarial, a transformação da forma como são fabricados os produtos que consumimos é notória. Entrando aqui a noção de indústria 4.0, a mesma está a elevar o conceito de digitalização para outro nível, interligando as organizações transversal e verticalmente, com máq…
In recent years, many systems that use RFIDs for building low-cost wireless systems have been proposed. However, due to their limited computational capabilitynand simple structure, important issues and challenges remain unsolved in RFID-based systems. There are two key challenge…
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…
The growing presence and impact of social media has changed the way people communicate with one another, interact with news, and view the world. Therefore, online social media presents a unique opportunity to examine human behavior in a collaborative environment. The rapid adopt…
As coleções científicas, reunindo uma enorme quantidade e diversidade de objetos e os dados que lhes estão associados, constituem um valioso património histórico, científico e cultural. Estas coleções estão, geralmente, sob a responsabilidade dos museus e dos seus respetivos cur…
The crowdsourced archiving that occurred in the wake of the January 6 th US Capitol insurrection exemplifies the potential for agile, collaborative evidence gathering during a crisis situation. This paper studies the r/DataHoarders subcommunity of Reddit and the collective and s…
The application of reinforcement learning (RL) to algorithmic trading is, in many ways, a perfect match. Trading is fundamentally a problem of making decisions under uncertainty, and reinforcement learning is a family of methods for solving such problems. Indeed, many researcher…
У дисертацији је представљен поступак дистрибутивне естимације стања (ДЕС) за модерне дистрибутивне мреже са дистрибутивним енергетским ресурсима (активне дистрибутивне мреже) који је интегрисан у дистрибтивни менаџмент систем (ДМС). Интеграција поступка ДЕС у ДМС се састоји од …
Energy data management is imperative to the understanding of complex building systems and is necessary to make operational decisions and changes that reduce energy spending and carbon emissions. This thesis details the implementation of a data management software (OSI PI)at 41 C…
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 …
In a world interrupted by a pandemic, the stresses created by rapid development of remote learning processes have reinforced the need for an effective proxy for direct observation of the learning process. Computer Assisted Learning (CAL) tools provide a comprehensive, remote, as…
“A cyborg is a cybernetic organism, a hybrid of machine and organism, a creature of social reality as well as a creature of fiction” (Haraway, 1985: 1). In the age of the Anthropocene we find ourselves on a cyborg planet, an entity with both biological with physical and technolo…
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…
When developing reinforcement learning algorithms, the main issues are dealing with large state spaces and action spaces. For the most part, the state space complexity problem was solved with the advent of AlphaZero. AlphaZero is able to deal with unfathomably large state spaces…
Conversational AI is a system capable of conversing with an interlocutor. Conversational systems, a special variant of question-answering systems, are aware of the context and the conversation history. Translating sequences from one domain to another is an intrinsic characterist…
Reconstructing evolutionary trees, also known as phylogenies, from molecular sequence data is a fundamental problem in computational biology. Classically, evolutionary trees have been estimated over a set of species, where leaves correspond to extant species and internal nodes c…