Searched for: contributor%3A%22Cavalcante+Siebert%2C+L.+%28graduation+committee%29%22
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Al Nahadi, Murtadha (author)
"Girls are bad at math, but are better than boys in linguistic subjects!" Such stereotypes, potentially manifesting through various sources, can impact children's development and negatively affect their academic performance. In this work, we study the presence of stereotypes among the Top-10 suggestions of Recommender Algorithms. In particular,...
master thesis 2023
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Sharma, Anirvin (author)
Image data augmentation has been regarded as a reliable and effective way to increase the data available for training. With the advent and rise of Generative AI, generative data augmentation has been shown to realize even better gains in performance for downstream tasks. However, these performance gains are often the cause of "extra information"...
master thesis 2023
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Zhang, liang (author)
Trust is a fundamental component in human-AI relationships, serving as a critical element of user acceptance and satisfaction, particularly within the realm of Decision Support Systems (DSS). The technological advances in conversational user interfaces (CUIs) such as ChatGPT and digital assistants (e.g., Alexa) allow laypeople to interact with...
master thesis 2023
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Kienhuis, Maurits (author)
The ever-evolving power grid is becoming smarter and smarter. Modern houses come with smart meters and energy conscious consumers will buy additional smart meters to place in their home to help monitor their energy consumption. This new smart technology also opens the door to more accurate power consumption forecasting. In this study we look at...
bachelor thesis 2023
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Zatezalo, Mateja (author)
Inverse Reinforcement Learning (IRL) is a machine learning technique used for learning rewards from the behavior of an expert agent. With complex agents, such as humans, the maximized reward may not be easily retrievable. This is because humans are prone to cognitive biases. Cognitive biases are a form of deviation from rationality that affects...
bachelor thesis 2023
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El Moussaoui, Chakir (author)
In today's society, the rapid progression of digitization has led to the automation of various facets of human existence. This transformation has been facilitated by the utilization of algorithms, which are instrumental in driving efficient and effective automated processes. These algorithms have also found widespread adoption in the public...
master thesis 2023
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Bharos, Abri (author)
Powerful predictive AI systems have demonstrated great potential in augmenting human decision-making. Recent empirical work has argued that the vision for optimal human-AI collaboration requires ‘appropriate reliance’ of humans on AI systems. However, accurately estimating the trustworthiness of AI advice at the instance level is quite...
master thesis 2022
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Băltăreţu, Ana (author)
Instance segmentation on data from Dynamic Vision Sensors (DVS) is an important computer vision task that needs to be tackled in order to push the research forward on these types of inputs. This paper aims to show that deep learning based techniques can be used to solve the task of instance segmentation on DVS data. A high performing model was...
bachelor thesis 2022
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Manolache, Alexandru-Dragos (author)
Event-based cameras represent a new alternative to traditional frame based sensors, with advantages in lower output bandwidth, lower latency and higher dynamic range, thanks to their independent, asynchronous pixels. These advantages prompted the development of computer vision methods on event data in the last decade, however event-based...
bachelor thesis 2022
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Olaru, Alexandra (author)
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time. This paper provides a model to track objects in neuromorphic datasets, using clustering. In addition, a non-linear filter is...
bachelor thesis 2022
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Benschop, Pascal (author)
Event-based cameras do not capture frames like an RGB camera, only data from pixels that detect a change in light intensity, making it a better alternative for processing videos. The sparse data acquired from event-based video only captures movement in an asynchronous way. In this paper an evaluation is made on the efficiency and accuracy of...
bachelor thesis 2022
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van der Werf, Daan (author)
In recent years financial fraud has seen substantial growth due to the advent of electronic financial services opening many doors for fraudsters. Consequently, the industry of fraud detection has seen a significant growth in scale, but moves slowly in comparison to the ever-changing nature of fraudulent behavior. As the monetary losses...
master thesis 2021
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Vester, Erik (author)
Reinforcement Learning (RL) has been used to successfully train agents for many tasks, but generalizing to a different task - or even unseen examples of the same task - remains difficult. In this thesis, Deep Reinforcement Learning (DRL) is combined with Graph Neural Networks (GNNs) and domain knowledge, with the aim of improving the...
master thesis 2021
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van den Hoek, Martijn (author)
Metrics are widely used in the software engineering industry and can serve as Key Performance Indicators (KPIs), which are used by management to make informed decisions and understand the performance of the organisation. Many companies measure themselves against industry-standard metrics, in addition to their own set of metrics. This thesis aims...
master thesis 2021
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Huizer, Rick (author)
3D modeling techniques can be used to automate processes such as damage assessment in aircraft engines. Aircraft engines often have shiny and non-textured surfaces, where these modeling techniques often have poor performance. This paper gives more insight into the performance of interest detection/matching algorithms on shiny and non-textured...
bachelor thesis 2021
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Markhorst, Thomas (author)
Proper maintenance and inspection of aircraft and their engines is important for society. These engine inspections are performed using borescopes of which the footage is manually analysed. Having the opportunity to reconstruct a 3D model of the rotors would ease the inspection and introduce the possibility to automate the process. Monocular SLAM...
bachelor thesis 2021
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Kok, Cedric (author)
More and more vehicles have multiple advanced driver-assistance systems (ADAS), that take over tasks from the human driver, thereby taking the driver out of the loop of control. This might create a discrepancy between the responsibility that the human driver feels and the responsibility that is attributed to them when something goes wrong....
master thesis 2021
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van der Bos, Jelle (author)
In recent years, ships are expected to improve energy efficiency and reduce carbon emissions. For naval vessels, it is important to be able to maintain their mission profile. It is therefore required to provide real-time advice to the ship’s crew on the optimal speed and propulsion mode settings that include the actual environmental conditions....
master thesis 2021
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