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Stoter, Stein K.F. (author), Divi, Sai C. (author), van Brummelen, E. Harald (author), Larson, Mats G. (author), de Prenter, Frits (author), Verhoosel, Clemens V. (author)In this article, we study the effect of small-cut elements on the critical time-step size in an immersogeometric explicit dynamics context. We analyze different formulations for second-order (membrane) and fourth-order (shell-type) equations, and derive scaling relations between the critical time-step size and the cut-element size for various...journal article 2023
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de Prenter, Frits (author), Verhoosel, Clemens (author), Brummelen, Harald van (author), Larson, Mats (author), Badia, Santiago (author)This review paper discusses the developments in immersed or unfitted finite element methods over the past decade. The main focus is the analysis and the treatment of the adverse effects of small cut elements. We distinguish between adverse effects regarding the stability and adverse effects regarding the conditioning of the system, and we...review 2023
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Adell, Anna (author), Almström, Björn (author), Kroon, Aart (author), Larson, Magnus (author), Uvo, Cintia Bertacchi (author), Hallin, E.C. (author)This study presents 62 years of hindcast wave climate data for the south coast of Sweden from 1959–2021. The 100-km-long coast consists mainly of sandy beaches and eroding bluffs interrupted by headlands and harbours alongshore, making it sensitive to variations in incoming wave direction. A SWAN wave model of the Baltic Sea, extending from...journal article 2023
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Petrov, K.V. (author), Bui, Justin C. (author), Baumgartner, L.M. (author), Weng, Lien Chun (author), Dischinger, Sarah M. (author), Larson, David M. (author), Miller, Daniel J. (author), Weber, Adam Z. (author), Vermaas, D.A. (author)Electrochemical reduction of carbon dioxide (CO<sub>2</sub>R) poses substantial promise to convert abundant feedstocks (water and CO<sub>2</sub>) to value-added chemicals and fuels using solely renewable energy. However, recent membrane-electrode assembly (MEA) devices that have been demonstrated to achieve high rates of CO<sub>2</sub>R are...journal article 2022
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Slokom, M. (author), de Wolf, Peter Paul (author), Larson, M.A. (author)We investigate an attack on a machine learning classifier that predicts the propensity of a person or household to move (i.e., relocate) in the next two years. The attack assumes that the classifier has been made publically available and that the attacker has access to information about a certain number of target individuals. That attacker...conference paper 2022
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Garofalo, Giuseppe (author), Slokom, M. (author), Preuveneers, Davy (author), Joosen, Wouter (author), Larson, M.A. (author)We explore how data modification can enhance privacy by examining the connection between data modification and machine learning. Specifically, machine learning “meets” data modification in two ways. First, data modification can protect the data that is used to train machine learning models focusing it on the intended use and inhibiting...book chapter 2022
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Slokom, M. (author), Hanjalic, A. (author), Larson, M.A. (author)In this paper, we propose a new privacy solution for the data used to train a recommender system, i.e., the user–item matrix. The user–item matrix contains implicit information, which can be inferred using a classifier, leading to potential privacy violations. Our solution, called Personalized Blurring (PerBlur), is a simple, yet effective,...journal article 2021
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Hung, H.S. (author), Gurrin, Cathal (author), Larson, M.A. (author), Gunes, Hatice (author), Ringeval, Fabien (author), Andre, Elisabeth (author), Morency, Louis-Philippe (author)The rising popularity of Artificial Intelligence (AI) has brought considerable public interest as well faster and more direct transfer of research ideas into practice. One of the aspects of AI that still trails behind considerably is the role of machines in interpreting, enhancing, modeling, generating, and influencing social behavior. Such...conference paper 2021
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Scharenborg, O.E. (author), van der Gouw, Nikki (author), Larson, M.A. (author), Marchiori, Elena (author)In this paper, we investigate the connection between how people understand speech and how speech is understood by a deep neural network. A naïve, general feed-forward deep neural network was trained for the task of vowel/consonant classification. Subsequently, the representations of the speech signal in the different hidden layers of the DNN...conference paper 2019
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Larson, M.A. (author), Slokom, M. (author)Hypotargeting for recommender systems (hyporec) is the idea of controlling the number of unique lists of items that a recommender system can recommend to users during a given time period. The main advantage of hyporec is oversight. If a recommender system offers only a finite number of unique lists, then it becomes feasible for a person...conference paper 2019
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Strucks, Christopher (author), Slokom, M. (author), Larson, M.A. (author)Past research has demonstrated that removing implicit gender information from the user-item matrix does not result in substantial performance losses. Such results point towards promising solutions for protecting users’ privacy without compromising prediction performance, which are of particular interest in multistakeholder environments. Here,...conference paper 2019
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Slokom, M. (author), Larson, M.A. (author), Hanjalic, A. (author)Data science challenges allow companies, and other data holders, to collaborate with the wider research community. In the area of recommender systems, the potential of such challenges to move forward the state of the art is limited due to concerns about releasing user interaction data. This paper investigates the potential of privacy...conference paper 2019
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Yadati, N.K. (author), Larson, M.A. (author), Liem, C.C.S. (author), Hanjalic, A. (author)In this paper, we focus on event detection over the timeline of a music track. Such technology is motivated by the need for innovative applications such as searching, non-linearaccess and recommendation. Event detection over the timeline requires time-code level labels in order to train machine learning dels. We use timed comments from...journal article 2018
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Li, X. (author), Larson, M.A. (author), Hanjalic, A. (author)We propose an image representation and matching approach that substantially improves visual-based location estimation for images. The main novelty of the approach, called distinctive visual element matching (DVEM), is its use of representations that are specific to the query image whose location is being predicted. These representations are...journal article 2018
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Scharenborg, O.E. (author), Larson, M.A. (author)Background music in social interaction settings can hinder conversation. Yet, little is known of how specific properties of music impact speech processing. This paper addresses this knowledge gap by investigating the effect of the 1) complexity of the background music, and 2) the presence versus absence of sung lyrics on spoken-word...conference paper 2018
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Neggers, R.A.J. (author), Ackerman, Andrew S. (author), Angevine, W. M. (author), Bazile, Eric (author), Beau, I. (author), Blossey, P. N. (author), Boutle, I. A. (author), de Bruijn, C. (author), cheng, A (author), van der Dussen, J.J. (author), Fletcher, J. (author), Dal Gesso, S. (author), Jam, A. (author), Kawai, H (author), Cheedela, S. K. (author), Larson, V. E. (author), Lefebvre, Marie Pierre (author), Lock, A. P. (author), Meyer, N. R. (author), de Roode, S.R. (author), de Rooy, WC (author), Sandu, I (author), Xiao, H (author), Xu, K. M. (author)Results are presented of the GASS/EUCLIPSE single-column model intercomparison study on the subtropical marine low-level cloud transition. A central goal is to establish the performance of state-of-the-art boundary-layer schemes for weather and climate models for this cloud regime, using large-eddy simulations of the same scenes as a...journal article 2017
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Yang, J. (author), Sun, Zhu (author), Bozzon, A. (author), Zhang, J. (author), Larson, M.A. (author)The "International Workshop on Recommender Systems for Citizens" (CitRec) is focused on a novel type of recommender systems both in terms of ownership and purpose: recommender systems run by citizens and serving society as a whole.conference paper 2017
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Kille, Benjamin (author), Lommatzsch, Andreas (author), Hopfgartner, Frank (author), Larson, M.A. (author), Brodt, Torben (author)The CLEF NewsREEL challenge allows researchers to evaluate news recommendation algorithms both online (NewsREEL Live) and offline (News-REEL Replay). Compared with the previous year NewsREEL challenged participants with a higher volume of messages and new news portals. In the 2017 edition of the CLEF NewsREEL challenge a wide variety of new...conference paper 2017
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Liang, Yu (author), Loni, B. (author), Larson, M.A. (author)In the CLEF NewsREEL 2017 challenge, we build a delegation model based on the contextual bandit algorithm. Our goal is to investigate whether a bandit approach combined with context extracted from the user side, from the item side and from user-item interaction can help choose the appropriate recommender from a recommender algorithm pool for the...conference paper 2017
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Larson, M.A. (author), Zito, Alessandro (author), Loni, B. (author), Cremonesi, Paolo (author)This paper states the case for the principle of minimal necessary data: If two recommender algorithms achieve the same effectiveness, the better algorithm is the one that requires less user data. Applying this principle involves carrying out training data requirements analysis, which we argue should be adopted as best practice for the...conference paper 2017
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