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Lupău, Cătălin (author)Passage re-ranking is a fundamental problem in information retrieval, which deals with reordering a small set of passages based on their relevancy to a query. It is a crucial component in various web information systems, such as search engines or question-answering systems. Modern approaches for building re-ranking systems rely on neural...master thesis 2024
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Moghaddasi, Hanie (author)Atrial Fibrillation (AF) is the most common tachyarrhythmia in the heart. Irregular RR intervals and the absence of a P wave before the QRS complex characterize AF. Although many studies have been done to detect atrial fibrillation, many aspects of this intricate disease need further analysis. AF is often diagnosed by the interpretation of multi...doctoral thesis 2024
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Wang, Zhiheng (author)Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. Despite their effectiveness, learning-to-rank (LTR) models often operate as complex systems, making it difficult to discern the factors influencing their ranking decisions. This lack of transparency raises concerns about...master thesis 2024
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Theijse, Bouwe (author)This research explores the opportunities and limitations of image-based AI tools for industrial design. In collaboration with designers at Royal Gazelle, several tools were tested. AI tools can broaden and speed up the creative processes but also lack control for the user. AI models and designers use different terms to articulate perceptions and...master thesis 2024
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Alfaraj, Ali (author)Imaging and inversion with seismic data recorded with sources and receivers at the surface are powerful tools to infer knowledge about the subsurface. However, creating an image with seismic data is unfortunately not as easy as taking a picture with a smartphone. The estimated subsurface models in many situations are far from ideal due to the...doctoral thesis 2024
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Leonhardt, L.J.L. (author), Müller, Henrik (author), Rudra, Koustav (author), Khosla, M. (author), Anand, Abhijit (author), Anand, A. (author)Dual-encoder-based dense retrieval models have become the standard in IR. They employ large Transformer-based language models, which are notoriously inefficient in terms of resources and latency.We propose Fast-Forward indexes - vector forward indexes which exploit the semantic matching capabilities of dual-encoder models for efficient and...journal article 2024
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Anand, Abhijit (author), Leonhardt, L.J.L. (author), Singh, Jaspreet (author), Rudra, Koustav (author), Anand, A. (author)Contextual ranking models have delivered impressive performance improvements over classical models in the document ranking task. However, these highly over-parameterized models tend to be data-hungry and require large amounts of data even for fine-tuning. In this article, we propose data-augmentation methods for effective and robust ranking...journal article 2024
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de Vree, A.M.W. (author)Maritime sectors have been notorious for their slow paced innovation efforts and although it is an efficient sector, it has big impact on the environment just because of the size of the industry (M. Rahim, et al. 2016). There is a lot of activity on the seas, changes in this sector could make a big difference when making our world become more...master thesis 2023
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- Li, Roger Zhe (author) doctoral thesis 2023
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Ban, Hanyuan (author)Gaussian process regression (GPR), a potent non-parametric data modeling tool, has gained attention but is hindered by its high com- putational load. State-of-the-art low-rank approximations like struc- tured kernel interpolation (SKI)-based methods offer efficiency, yet lack a strategy for determining the number of grid points, a pivotal factor...master thesis 2023
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Hacipoğlu, Sara (author)The complexity of deep neural rankers and large datasets make it increasingly more challenging to understand why a document is predicted as relevant to a given query. A growing body of work focuses on interpreting ranking models with different explainable AI methods. Instance attribution methods aim to explain individual predictions of machine...master thesis 2023
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Barokas Profeta, Doruk (author)The rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of...master thesis 2023
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Zhong, BingXiang (author)Rank detection is crucial in array processing applications, as many algorithms rely on accurately estimating the rank of the data matrix to ensure optimal performance. Under Gaussian white noise, rank can be detected through eigenvalue analysis. However, in arbitrary noise, prewhitening the data matrix with the noise covariance matrix is...master thesis 2023
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Penha, G. (author)Conversational search is a sub-field of Information Retrieval (IR) that focuses on solving information needs through natural language conversations. Searching for information is an inherently interactive task, and conversations offer a promising solution. One that might change the current search paradigm. In this thesis, we focus on retrieval...doctoral thesis 2023
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- van Dobben de Bruyn, J. (author) doctoral thesis 2023
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Gold, Andrew (author)Ranking algorithms in traditional search engines are powered by enormous training data sets that are meticulously engineered and curated by a centralized entity. Decentralized peer-to-peer (p2p) networks such as torrenting applications and Web3 protocols deliberately eschew centralized databases and computational architectures when designing...master thesis 2023
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Menzen, C.M. (author), Memmel, E.M. (author), Batselier, K. (author), Kok, M. (author)This paper presents a method for approximate Gaussian process (GP) regression with tensor networks (TNs). A parametric approximation of a GP uses a linear combination of basis functions, where the accuracy of the approximation depends on the total number of basis functions M. We develop an approach that allows us to use an exponential amount...journal article 2023
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Anand, A. (author), Sen, Procheta (author), Saha, Sourav (author), Verma, Manisha (author), Mitra, Mandar (author)This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy deployment of machine learning systems in the context of information retrieval. As the field has rapidly evolved in the past 4-5 years, numerous approaches have been proposed that focus on different access modes,...conference paper 2023
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Joseph, G. (author)In this article, we study the conditions to be satisfied by a discrete-time linear system to ensure output controllability using sparse control inputs. A set of necessary and sufficient conditions can be directly obtained by extending the Kalman rank test for output controllability. However, the verification of these conditions is...journal article 2023
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Leonhardt, L.J.L. (author), Rudra, Koustav (author), Anand, A. (author)Neural document ranking models perform impressively well due to superior language understanding gained from pre-Training tasks. However, due to their complexity and large number of parameters these (typically transformer-based) models are often non-interpretable in that ranking decisions can not be clearly attributed to specific parts of the...journal article 2023