Searched for: subject%3A%22decision%255C+trees%22
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Raaijmakers, Gini (author)
Background: Postoperative junctional ectopic tachycardia (JET) is an arrhythmia associated with increased morbidity and mortality rates in children with congenital heart disease. Developing an automated detection algorithm could aid in early identification and timely treatment of JET.<br/><br/>Methods: A retrospective study was conducted using...
master thesis 2024
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Agarwal, Ritik (author)
HIsarna is a revolutionary step towards production of green steel. Due to the complex nature of the process the control of various facets of HIsarna is difficult. One of these facets is the slag-composition control, or more specifically slag-basicity. In this thesis an optimal sequential decision making strategy has been developed using the...
master thesis 2023
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Anton, Mihai (author)
Overcooked, an immersive multiplayer video game centered around cooperative cooking challenges, provides the roots for this research project. The study focuses on designing and evaluating a hand-authored controller in comparison to controllers implemented using various machine learning techniques, such as Population Based Training, in the...
bachelor thesis 2023
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Manoli, Calin (author)
Machine Learning (ML) is a rapidly growing field, therefore ensuring that students deeply understand such concepts is of key importance in order to certify that they are prepared for the challenges and opportunities of the future workforce. Despite this, literature on teaching ML and assessing students' understanding with regard to this field is...
bachelor thesis 2023
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Bien, Benedict (author)
Decision trees are integral to machine learning, with their robustness being a critical measure of effectiveness against adversarial data manipulations. Despite advancements in algorithms, current solutions are either optimal but lack scalability or scale well, but do not guarrantee optimality. This paper presents a novel adaptation of the...
bachelor thesis 2023
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Segalini, Giulio (author)
The Algorithm Selection Problem is a relevant question in computer science that would enable us to predict which algorithm would perform better on a given instance of a problem. <br/>Different solutions have been proposed, either using Mixed Integer Programming or machine learning models, but both suffer from either poor scalability, no...
bachelor thesis 2023
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KINDYNIS, Chrysanthos (author)
In this paper, we tackle the problem of creating decision trees that are both optimal and individually fair. While decision trees are popular due to their interpretability, achieving optimality can be difficult. Existing approaches either lack scalability or fail to consider individual fairness. To address this, we define individual fairness as...
bachelor thesis 2023
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van den Bos, Mim (author)
Decision trees make decisions in a way interpretable to humans, this is important when machines are increasingly used to aid in making high-stakes and socially sensitive decisions. While heuristics have been used for a long time to find decision trees with reasonable accuracy, recent approaches find fully optimal trees. Due to the computational...
bachelor thesis 2023
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Huisman, Tim (author)
Survival analysis revolves around studying and predicting the time it takes for a particular event to occur. In clinical trials on terminal illnesses, this is usually the time from the diagnosis of a patient until their death. Estimating the odds of survival of a new patient can be done by analyzing survival data from past patients in similar...
bachelor thesis 2023
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Hopman, Luuk (author)
Asphalt concrete is one of the most widely used materials in modern road construction. Predicting its functional properties is crucial in the design of new asphalt concrete mixtures. However, current prediction models are limited in accuracy and applicability due to the complex nature of asphalt concrete properties. This thesis researches the...
master thesis 2023
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Minderhoud, Max (author)
The maritime industry faces a lot of uncertainty, and the energy transition has only increased this uncertainty. Ships will probably have to be converted to an alternative fuel during their lifetime and methanol seems to be the fuel with the most potential for offshore ships. By preparing for this, Design-for-Conversion to methanol, the costs of...
master thesis 2023
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Zeng, Henwei (author)
Several algorithms can often be used to solve a complex problem, such as the SAT problem or the graph coloring problem. Those algorithms differ in terms of speed based on the size or other features of the problem. Some algorithms perform much faster on a small size while others perform noticeably better on a larger instance. The optimization...
bachelor thesis 2023
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Thapa, Shlagha (author)
The Dutch Ministry of Defence is interested in developing a tool or workflow that can be used to remotely predict Unified Soil Classification System (USCS) classes of any area to aid mobility-related decisions. Therefore, this study was initiated by Cohere Consultants in collaboration with NEO, a Dutch remote sensing company and Utrecht...
master thesis 2023
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Gupta, Monik (author), Velaga, Nagendra R. (author), Oviedo-Trespalacios, O. (author)
Motorized Two-Wheeler (MTW) drivers significantly contribute to road fatalities due to their vulnerability and the higher severity of crashes. Risky driving behavior, such as violations and errors, is a key precursor to road crashes. Understanding the factors that influence such risky behavior can shed light on opportunities for risk...
journal article 2023
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Herrera-Semenets, Vitali (author), Bustio-Martínez, Lázaro (author), Hernández-León, Raudel (author), van den Berg, Jan (author)
Decision trees are one of the most popular structures for decision-making and the representation of a set of rules. However, when a rule set is represented as a decision tree, some quirks in its structure may negatively affect its performance. For example, duplicate sub-trees and rule filters, that need to be evaluated more than once, could...
conference paper 2023
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Vos, D.A. (author), Verwer, S.E. (author)
Decision trees are popular models for their interpretation properties and their success in ensemble models for structured data. However, common decision tree learning algorithms produce models that suffer from adversarial examples. Recent work on robust decision tree learning mitigates this issue by taking adversarial perturbations into...
conference paper 2023
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van der Linden, J.G.M. (author), de Weerdt, M.M. (author), Demirović, E. (author)
Global optimization of decision trees has shown to be promising in terms of accuracy, size, and consequently human comprehensibility. However, many of the methods used rely on general-purpose solvers for which scalability remains an issue. Dynamic programming methods have been shown to scale much better because they exploit the tree structure by...
conference paper 2023
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Subhan, Fazle (author), Ali, Y. (author), Zhao, Shengchuan (author), Oviedo-Trespalacios, O. (author)
Evaluating road safety improvements becomes important because it can assist policymakers in allocating economic resources to improve safety and implementing effective policy interventions. As such, this study aims to estimate the value of road safety risk measures using a new modeling approach for willingness-to-pay (WTP). Specifically, this...
journal article 2023
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Mauro, F. (author), Conti, Fabien (author), Vassalos, Dracos (author)
Real-time assessment of flooding risk associated with the collision between two ships, requires a fast estimation of damage dimensions and associated survivability. The state-of-the-art frameworks for risk assessment on passenger ships do not consider a direct evaluation of damages through crash simulations but refer to probabilistic...
journal article 2023
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Zhu, Hangyu (author), Wang, R. (author), Jin, Yaochu (author), Liang, K. (author)
Federated learning (FL) is an emerging privacy preserving machine learning protocol that allows multiple devices to collaboratively train a shared global model without revealing their private local data. Nonparametric models like gradient boosting decision trees (GBDTs) have been commonly used in FL for vertically partitioned data. However,...
journal article 2023
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