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Cui, Jianfeng (author)We explored the possibility of improving cross-view matching performance with self-supervised learning techniques and perform interpretations in terms of the embedding space of image features. The effect of pre-training by contrastive learning is verified quantitatively by experiments, and also exhibited by visualization of the feature space.master thesis 2023
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Wang, Wenhui (author)Data drift refers to the variation in the production data compare to the training data and sometimes the machine learning model would decay because of it. Some machine learning models face the problem when in production: they receive drift data while there’s no ground truth to evaluate model performance, thus no way of determining the...master thesis 2022
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Fu, Yuan (author)Facial expression recognition on head-mounted devices (HMDs) is an intriguing research field because of its potential in various applications, such as interactive virtual reality video meetings. Existing work focuses on building a supervised learning pipeline that utilizes a vast amount of labeled periocular images taken by the built-in cameras....master thesis 2022
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Weegink, Stefan (author)There is an everlasting struggle for organisations to remediate vulnerabilities in IT systems before being the victim of an exploitation. Organisations try to reduce this struggle by turning to specialized cyber organisations, which use their expertise to recommend resolving a subset of vulnerabilities. Unfortunately, the process of recommending...master thesis 2022
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Schouten, Job (author)Logistics and mobility services play a major role in our society, and efficient routing is a crucial part of this. However, even though routing problems have been widely researched, the solutions provided by algorithms do not always match drivers' expectations. Routing costs used by these algorithms are often based on one or a few parameters,...master thesis 2022
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Shirekar, Ojas (author)A primary trait of humans is the ability to learn rich representations and relationships between entities from just a handful of examples without much guidance. Unsupervised few-shot learning is an undertaking aimed at reducing this fundamental gap between smart human adaptability and machines. We present a contrastive learning scheme for...master thesis 2022
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Noorthoek, Sterre (author)In addition to delivering groceries at customers’ doorsteps, online supermarket Picnic goes the extra mile by aiming to improve customer satisfaction. For instance, by providing cooking inspiration to customers through a recently launched recipe page in the app. This feature presents new recipes weekly and allows customers to easily add the...master thesis 2022
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Habib, Benjamin (author)Whereas in the past, Distribution Systems played a passive role in connecting customers to electricity, Distribution System Operators (DSOs) will have to take in the future a more active role in monitoring and regulating the network to deal with the new behaviors and dynamics of the system brought by the energy transition. State Estimation, a...master thesis 2022
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Brouwer, Hans (author)Synthesizing audio-reactive videos to accompany music is challenging multi-domain task that requires both a visual synthesis skill-set and an understanding of musical information extraction. In recent years a new flexible class of visual synthesis methods has gained popularity: generative adversarial networks. These deep neural networks can be...master thesis 2022
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Ji, Hang (author)In this thesis, we analyzed and compared speech representations extracted from different frozen self-supervised learning (SSL) speech pre-trained models on their ability to capture articulatory feature (AF) information and their subsequent prediction of phone recognition performance in within-language and cross-language scenarios. Specifically,...master thesis 2022
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Kloosterman, Luc (author)In the future, Air Traffic Controllers are expected to work together with more advanced computer-based automation that can automatically take action. The main challenge is then how to design computer-based tools such that they foster acceptance among air traffic controllers. One possible approach to foster acceptance is by matching the automated...master thesis 2022
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Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)This paper proposes a Recurrent Affine Transform Encoder (RATE) that can be used for image representation learning. We propose a learning architecture that enables a CNN encoder to learn the affine transform parameter of images. The proposed learning architecture decomposes an affine transform matrix into two transform matrices and learns them...journal article 2022
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Akhtar, Syed Adnan (author), Sharifi K., Arman (author), Mohajerin Esfahani, P. (author)We present a learning method to learn the mapping from an input space to an action space, which is particularly suitable when the action is an optimal decision with respect to a certain unknown cost function. We use an inverse optimization approach to retrieve the cost function by introducing a new loss function and a new hypothesis class of...journal article 2022
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Overwater, R.W.J. (author), Babaie, M. (author), Sebastiano, F. (author)Quantum error correction (QEC) is required in quantum computers to mitigate the effect of errors on physical qubits. When adopting a QEC scheme based on surface codes, error decoding is the most computationally expensive task in the classical electronic back-end. Decoders employing neural networks (NN) are well-suited for this task but their...journal article 2022
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Patel, T.B. (author), Scharenborg, O.E. (author)In the diverse and multilingual land of India, Hindi is spoken as a first language by a majority of its population. Efforts are made to obtain data in terms of audio, transcriptions, dictionary, etc. to develop speech-technology applications in Hindi. Similarly, the Gram-Vaani ASR Challenge 2022 provides spontaneous telephone speech, with...journal article 2022
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Mey, A. (author), Loog, M. (author)Semi-supervised learning is the learning setting in which we have both labeled and unlabeled data at our disposal. This survey covers theoretical results for this setting and maps out the benefits of unlabeled data in classification and regression tasks. Most methods that use unlabeled data rely on certain assumptions about the data...journal article 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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Arunmoli, Karthik Arvind (author)Learning from demonstration is a technique where the robot learns directly from humans. It can be beneficial to learn from humans directly because humans can easily demonstrate complex behaviors without being experts in demonstrating required tasks. However, it can be challenging to gather large amounts of data from humans because humans often...master thesis 2021
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Slooff, Tom (author)One of the most potent attacks against cryptographic implementations nowadays is side-channel attacks. Side-channel attacks use unintended leakages in the implementation, for example, electromagnetic radiation, to retrieve the secret key. Over time side-channel attacks have become more powerful, and recently the community has shifted towards...master thesis 2021
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De Vocht, Roel (author)An important step in determining the performance of a commercial ship is to determine the vessel fuel consumption in offdesign conditions. In previous studies, the vessel fuel consumption is obtained using machine learning algorithms which use navigational data and meteorological data to train the models. Due to the inaccuracy of the weather...master thesis 2021