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An integrated in silico-in vitro approach for identifying therapeutic targets against osteoarthritisLesage, Raphaëlle (author), Ferrao Blanco, Mauricio N. (author), Narcisi, Roberto (author), Welting, Tim (author), van Osch, G.J.V.M. (author), Geris, Liesbet (author)Background: Without the availability of disease-modifying drugs, there is an unmet therapeutic need for osteoarthritic patients. During osteoarthritis, the homeostasis of articular chondrocytes is dysregulated and a phenotypical transition called hypertrophy occurs, leading to cartilage degeneration. Targeting this phenotypic transition has...journal article 2022
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Baccour, Emna (author), Mhaisen, N. (author), Abdellatif, Alaa Awad (author), Erbad, Aiman (author), Mohamed, Amr (author), Hamdi, Mounir (author), Guizani, Mohsen (author)Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics control and military surveillance. This is driven by the easier access to sensory data and the enormous scale of pervasive...journal article 2022
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Alonso, Tobias (author), Petrica, Lucian (author), Ruiz, Mario (author), Petri-König, J. (author), Umuroglu, Yaman (author), Stamelos, Ioannis (author), Koromilas, Elias (author), Blott, Michaela (author), Vissers, Kees (author)Customized compute acceleration in the datacenter is key to the wider roll-out of applications based on deep neural network (DNN) inference. In this article, we investigate how to maximize the performance and scalability of field-programmable gate array (FPGA)-based pipeline dataflow DNN inference accelerators (DFAs) automatically on...journal article 2022
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Alquier, Pierre (author), Chérief-Abdellatif, Badr Eddine (author), Derumigny, Alexis (author), Fermanian, Jean David (author)This article deals with robust inference for parametric copula models. Estimation using canonical maximum likelihood might be unstable, especially in the presence of outliers. We propose to use a procedure based on the maximum mean discrepancy (MMD) principle. We derive nonasymptotic oracle inequalities, consistency and asymptotic normality...journal article 2022
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Cox, B.A. (author), Birke, Robert (author), Chen, Lydia Y. (author)Deep neural networks (DNNs) are becoming the core components of many applications running on edge devices, especially for real time image-based analysis. Increasingly, multi-faced knowledge is extracted by executing multiple DNNs inference models, e.g., identifying objects, faces, and genders from images. It is of paramount importance to...journal article 2022
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Kekkonen, H.N. (author)We consider the statistical non-linear inverse problem of recovering the absorption term f > 0 in the heat equation {∂tu-12Δu+fu=0onO×(0,T)u=gon∂ O×(0,T)u(·,0)=u0onO, where O ϵ ℝd is a bounded domain, T < ∞ is a fixed time, and g, u 0 are given sufficiently smooth functions describing boundary and initial values respectively. The data...journal article 2022
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Sarafoglou, Alexandra (author), van der Heijden, Anna (author), Draws, T.A. (author), Cornelisse, Joran (author), Wagenmakers, Eric Jan (author), Marsman, Maarten (author)Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we...journal article 2022
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Zhang, Qinglong (author), Han, Rui (author), Xin, Gaofeng (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Deep neural networks (DNNs) have been showing significant success in various anomaly detection applications such as smart surveillance and industrial quality control. It is increasingly important to detect anomalies directly on edge devices, because of high responsiveness requirements and tight latency constraints. The accuracy of DNN-based...journal article 2022
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Menzen, C.M. (author), Kok, M. (author), Batselier, K. (author)Multiway data often naturally occurs in a tensorial format which can be approximately represented by a low-rank tensor decomposition. This is useful because complexity can be significantly reduced and the treatment of large-scale data sets can be facilitated. In this paper, we find a low-rank representation for a given tensor by solving a...journal article 2022
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Achterberg, M.A. (author), Prasse, B. (author), Ma, L. (author), Trajanovski, S. (author), Kitsak, M.A. (author), Van Mieghem, P.F.A. (author)Researchers from various scientific disciplines have attempted to forecast the spread of coronavirus disease 2019 (COVID-19). The proposed epidemic prediction methods range from basic curve fitting methods and traffic interaction models to machine-learning approaches. If we combine all these approaches, we obtain the Network Inference-based...journal article 2022
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Anil Meera, A. (author), Novicky, Filip (author), Parr, Thomas (author), Friston, Karl (author), Lanillos, Pablo (author), Sajid, Noor (author)Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual information between the (current) visual information and its estimated causes. However, they fail to consider the circular causality between perception and action. In other...journal article 2022
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Lye, Adolphus (author), Cicirello, A. (author), Patelli, Edoardo (author)This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the context of Bayesian model updating for engineering applications. Markov Chain Monte Carlo, Transitional Markov Chain Monte Carlo, and Sequential Monte Carlo methods are introduced, applied to different case studies and finally their performance is compared....journal article 2021
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Eivani, A.R. (author), Vafaeenezhad, H. (author), Jafarian, H. R. (author), Zhou, J. (author)The faults in welding design and process every so often yield defective parts during friction stir welding (FSW). The development of numerical approaches including the finite element method (FEM) provides a way to draw a process paradigm before any physical implementation. It is not practical to simulate all possible designs to identify the...journal article 2021
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Afghari, A.P. (author), Faghih Imani, Ahmadreza (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author), Hezaveh, Amin Mohamadi (author)Despite the proven effectiveness of seatbelt use in reducing traffic casualties, not wearing a seatbelt still contributes to a substantial proportion of fatal crashes worldwide. This problem has raised the need to better understand factors contributing to seatbelt use, particularly in multi-occupant vehicles. Among these factors, behavioural...journal article 2021
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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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Sabidussi, E. R. (author), Klein, S. (author), Caan, M. W.A. (author), Bazrafkan, S. (author), den Dekker, A. J. (author), Sijbers, J. (author), Niessen, W.J. (author), Poot, D.H.J. (author)In this paper, we propose the use of Recurrent Inference Machines (RIMs) to perform T<sub>1</sub> and T<sub>2</sub> mapping. The RIM is a neural network framework that learns an iterative inference process based on the signal model, similar to conventional statistical methods for quantitative MRI (QMRI), such as the Maximum Likelihood...journal article 2021
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Nijholt, N. (author), Simons, W.J.F. (author), Efendi, J. (author), Sarsito, D. A. (author), Riva, R.E.M. (author)The 2018 (Formula presented.) Palu earthquake is a remarkable strike-slip event due to its nature as a shallow supershear fault rupture across several segments and a destructive tsunami that followed coseismic deformation. GPS offsets in the wake of the 2018 earthquake display a transient in the surface motions of northwest Sulawesi. A...journal article 2021
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Abaei, M.M. (author), Hekkenberg, R.G. (author), BahooToroody, Ahmad (author)Maritime Autonomous Surface Ships have received a significant amount of attention in recent projects. They promise a reduction in marine accidents and mitigation of human errors. Most of the ongoing research effort is directed toward autonomous navigation and cybersecurity. However, the importance of a machinery plant in the engine room that...journal article 2021
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Pezzato, C. (author), Ferrari, Riccardo M.G. (author), Hernández, Carlos (author)More adaptive controllers for robot manipulators are needed, which can deal with large model uncertainties. This letter presents a novel active inference controller (AIC) as an adaptive control scheme for industrial robots. This scheme is easily scalable to high degrees-of-freedom, and it maintains high performance even in the presence of...journal article 2020
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van Iersel, L.J.J. (author), Janssen, R. (author), Jones, M.E.L. (author), Murakami, Yukihiro (author), Zeh, Norbert (author)A common problem in phylogenetics is to try to infer a species phylogeny from gene trees. We consider different variants of this problem. The first variant, called Unrestricted Minimal Episodes Inference, aims at inferring a species tree based on a model with speciation and duplication where duplications are clustered in duplication episodes....journal article 2020