Searched for: subject%3A%22Ranking%22
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Yanovsky, Felix J. (author), Prokopenko, Igor (author), Pitertsev, Alexander (author), Rhee, Huinam (author), Dmytruk, Anastasiia (author)
This paper proposes generalized mathematical model of different passive interferences and develops an effective algorithm of digital signal processing for detection on the background of them. Models of interferences as random process of K-distribution is used with parametrization for the unwanted reflections from atmosphere, land, and sea....
conference paper 2022
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Zarifsanayei, Amin Reza (author), Antolínez, José A. Á. (author), Etemad-Shahidi, Amir (author), Cartwright, Nick (author), Strauss, Darrell (author)
Although there have been many efforts in the literature to hindcast the patterns of longshore sediment transport (LST), they mainly disregarded uncertainty issues. Forcing datasets, wave transformation methods, and LST models are among the main sources of uncertainty in LST estimations. The combination of the aforementioned sources of...
journal article 2022
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Li, X. (author), Hulshoff, S.J. (author), Hickel, S. (author)
Proper Orthogonal Decomposition (POD) plays an important role in the analysis of complex nonlinear systems governed by partial differential equations (PDEs), since it can describe the full-order system in a simplified but representative way using a handful of dominant dynamic modes. However, determining a POD from the results of complex...
journal article 2022
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Bédos, Erik (author), Enstad, Ulrik (author), van Velthoven, J.T. (author)
This paper provides sufficient density conditions for the existence of smooth vectors generating a frame or Riesz sequence in the lattice orbit of a square-integrable projective representation of a nilpotent Lie group. The conditions involve the product of lattice co-volume and formal dimension, and complement Balian–Low type theorems for the...
journal article 2022
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Voss, Jendrik (author), Martin, R.P. (author), Sander, Oliver (author), Kumar, Siddhant (author), Kochmann, Dennis M. (author), Neff, Patrizio (author)
Deciding whether a given function is quasiconvex is generally a difficult task. Here, we discuss a number of numerical approaches that can be used in the search for a counterexample to the quasiconvexity of a given function W. We will demonstrate these methods using the planar isotropic rank-one convex function Wmagic+(F)=λmaxλmin-logλmaxλmin...
journal article 2022
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Bánsági, Aurél (author)
In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...
master thesis 2021
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Kaur, Sukhleen (author)
Survival analysis is a statistical method used to predict when an event will occur. Machine learning survival models have been used in many cancer studies. However, machine learning models may not always be interpretable. The current lack of research for explainable survival analysis for urothelial cancer prompted this study. This study offers...
master thesis 2021
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Tolsma, Pieter (author)
The Routing Protocol for Low-Power and Lossy Networks (RPL) has gained in popularity since the increased connectivity of everyday items to the Internet. One of the discovered attacks on RPL is the rank attack, which opens up possibilities for attackers to control traffic in the RPL network by spoofing their priority. Many solutions have been...
bachelor thesis 2021
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Trevnenski, Georgi (author)
Video summarization is a task which many researchers have tried to automate with deep learning methods. One of these methods is the SUM-GAN-AAE algorithm developed by Apostolidis et al. which is an unsupervised machine learning method evaluated in this study. The research aims at testing the algorithm's performance on the Breakfast dataset,...
bachelor thesis 2021
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Kalia, Yash (author)
Search engine Entity Cards(ECs) display conciseinformation from the web about a topic or subjectin response to a user query. The topic or subjectcan be a person, an organization etc. and is referredto as an “Entity”. The specific topic under researchis how to determine which entity is most relevantfor the query in terms of helping the user find...
bachelor thesis 2021
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Brackenhoff, Stefanie (author)
We propose the Stationary spectrum Plus Low-rank Iterative TransmiTtance EstimatoR (SPLITTER) for removing wideband atmospheric noise from observations of high-redshift galaxies. This algorithm has specifically been developed for the DEep Spectroscopic HIgh-redshift MApper (DESHIMA) 2.0, a spectrometer that is designed to observe the waveband...
master thesis 2021
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Hoefkens, Emiel (author)
The Competitive Investor Game from Bell & Cover (1980) and the 푘-Player Ranking Game from Alpern & Howard (2017) are analysed in thesis. Optimal strategies have been derived and the related proofs have been given a new look. The Symmetric Multiplayer Ranking Game is considered as the general interpretation of financial competition among...
master thesis 2021
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Zuiderwijk-van Eijk, A.M.G. (author), Pirannejad, Ali (author), Susha, I. (author)
An understanding of the similar and divergent metrics and methodologies underlying open government data benchmarks can reduce the risks of the potential misinterpretation and misuse of benchmarking outcomes by policymakers, politicians, and researchers. Hence, this study aims to compare the metrics and methodologies used to measure, benchmark,...
journal article 2021
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Draws, T.A. (author), Tintarev, N. (author), Gadiraju, Ujwal (author), Bozzon, A. (author), Timmermans, Benjamin (author)
The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewpoint diversity is not trivial to assess. In this paper we use existing and novel ranking fairness metrics to evaluate viewpoint diversity in search result rankings. We...
conference paper 2021
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Draws, T.A. (author), Tintarev, N. (author), Gadiraju, Ujwal (author), Bozzon, A. (author), Timmermans, B. (author)
In web search on debated topics, algorithmic and cognitive biases strongly influence how users consume and process information. Recent research has shown that this can lead to a search engine manipulation effect (SEME): when search result rankings are biased towards a particular viewpoint, users tend to adopt this favored viewpoint. To better...
conference paper 2021
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Kuś, G.I. (author), van der Zwaag, S. (author), Bessa, M.A. (author)
Gaussian processes are well-established Bayesian machine learning algorithms with significant merits, despite a strong limitation: lack of scalability. Clever solutions address this issue by inducing sparsity through low-rank approximations, often based on the Nystrom method. Here, we propose a different method to achieve better scalability...
journal article 2021
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Cass, Thomas (author), Crisan, Dan (author), Dobson, P. (author), Ottobre, Michela (author)
We study the long time behaviour of a large class of diffusion processes on R<sup>N</sup>, generated by second order differential operators of (possibly) degenerate type. The operators that we consider need not satisfy the Hörmander Condition (HC). Instead, they satisfy the so-called UFG condition, introduced by Herman, Lobry and Sussman in...
journal article 2021
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Li, H. (author), Li, Zixuan (author), Li, Kenli (author), Rellermeyer, Jan S. (author), Chen, Lydia Y. (author), Li, Keqin (author)
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the High-Order, High-Dimension, and Sparse Tensor (HOHDST). However, existing STD algorithms face the problem of intermediate variables explosion which results from the fact that the...
journal article 2021
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach (e.g. TFMAP, CLiMF, Top-N-Rank) aim at optimizing the same metric being used for evaluation, under the assumption that this will lead to the best performance. A number of studies...
conference paper 2021
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Bakker, Paul (author)
For real-world problems even the most complex machine learning models can only achieve a certain accuracy. This makes it important to understand why a specific prediction is made. Explanations can provide human decision support by allowing human experts to assess the reasoning of the model as well as the correctness. Specifically, in this thesis...
master thesis 2020
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