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Leus, G.J.T. (author), Yang, Maosheng (author), Coutino, Mario (author), Isufi, E. (author)
To deal with high-dimensional data, graph filters have shown their power in both graph signal processing and data science. However, graph filters process signals exploiting only pairwise interactions between the nodes, and they are not able to exploit more complicated topological structures. Graph Volterra models, on the other hand, are also...
conference paper 2021
document
Balayn, A.M.A. (author), SOILIS, P. (author), Lofi, C. (author), Yang, J. (author), Bozzon, A. (author)
Global interpretability is a vital requirement for image classification applications. Existing interpretability methods mainly explain a model behavior by identifying salient image patches, which require manual efforts from users to make sense of, and also do not typically support model validation with questions that investigate multiple...
conference paper 2021
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Zhang, F. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
Acoustic Emission (AE)-based crack tracking is a promising approach to locate cracks in concrete structures. Different from conventional AE, this approach uses AE activities during crack closure. But, AE activities during crack closure may be influenced by the number of load cycles and loading speed. This may challenge the applicability of AE...
conference paper 2021
document
Li, Zhenghui (author), Le Kernec, Julien (author), Fioranelli, F. (author), Romain, Olivier (author), Zhang, Lei (author), Yang, Shufan (author)
In personnel recognition based on radar, significant research exists on statistical features extracted from the micro-Doppler signatures, whereas research considering other domains and information such as phase is less developed. This paper presents the use of deep learning methods to integrate both phase and magnitude features from range...
conference paper 2021
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Arous, Ines (author), Yang, J. (author), Khayati, Mourad (author), Cudre-Mauroux, Philippe (author)
Scientific peer review is pivotal to maintain quality standards for academic publication. The effectiveness of the reviewing process is currently being challenged by the rapid increase of paper submissions in various conferences. Those venues need to recruit a large number of reviewers of different levels of expertise and background. The...
conference paper 2021
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Zarate Garnica, G.I. (author), Zhang, F. (author), Yang, Y. (author), van der Veen, C. (author), Lantsoght, E.O.L. (author), Naaktgeboren, M. (author), Fennis, S.A.A.M. (author)
Proof load testing can be an interesting method to assess existing bridges for which analytical methods are unable to provide an accurate assessment. In a proof load test, a load representative of the factored live load is applied to the bridge. If the bridge can carry this load without distress, the proof load test is success-ful, and the...
conference paper 2021
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Nadeem, A. (author), Verwer, S.E. (author), Yang, Shanchieh Jay (author)
Attack graphs (AG) are used to assess pathways availed by cyber adversaries to penetrate a network. State-of-the-art approaches for AG generation focus mostly on deriving dependencies between system vulnerabilities based on network scans and expert knowledge. In real-world operations however, it is costly and ineffective to rely on constant...
conference paper 2021
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De Boer, Ane (author), Lantsoght, E.O.L. (author), Yang, Y. (author)
The Dutch Ministry of Infrastructure and the Environment is concerned with the safety of exist-ing infrastructure and assessment thereof, which can be done with nonlinear finite element analysis. The 2017 updated version of the Dutch NLFEA Guidelines can be used for reinforced and prestressed beams and slabs. The purpose of the guidelines is...
conference paper 2020
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Yang, Fawei (author), Le Kernec, Julien (author), Fioranelli, F. (author), Liu, Quanhua (author)
This paper presents a shape feature aided target detection method for micro-drone surveillance radar in order to mitigate the false alarms caused by the ground clutter. The method consists of a segmentation threshold selection method based on target measurements and a shape-feature extraction method based on Hu moments. Then the performance...
conference paper 2020
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Yang, Qiuling (author), Coutino, Mario (author), Wang, Gang (author), Giannakis, Georgios B. (author), Leus, G.J.T. (author)
To perform any meaningful optimization task, distribution grid operators need to know the topology of their grids. Although power grid topology identification and verification has been recently studied, discovering instantaneous interplay among subsets of buses, also known as higher-order interactions in recent literature, has not yet been...
conference paper 2020
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Li, Shaoxuan (author), Jia, Mu (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)
Nowadays, health monitoring issues are increasing as the worldwide population is aging. In this paper, the radar modality is used to classify with radar signature automatically. The classic approach is to extract features from micro-Doppler signatures for classification. This data representation domain has its limitations for activities...
conference paper 2020
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Jia, Mu (author), Li, Shaoxuan (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)
As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based human activity recognition has been identified as a sensing modality of choice because it is privacy-preserving and does not require end-users compliance or manipulation. In...
conference paper 2020
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Zhong, J. (author), Liu, Zhigang (author), Wang, H. (author), Liu, W. (author), Yang, Cheng (author), Nunez, Alfredo (author)
Brace Sleeve (BS) plays an essential role in connecting and fixing cantilevers of railway catenary systems. It needs to be monitored to ensure the safety of railway operations. In the literature, image processing techniques that can localize BSs from inspection images are proposed. However, the boxes produced by existing methods can contain...
conference paper 2020
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Moraes Gomes, F. (author), Yang, J. (author), Zhang, Rongting (author), Murdock, Vanessa (author)
In online shopping quality is a key consideration when purchasing an item. Since customers cannot physically touch or try out an item before buying it, they must assess its quality from information gathered online. In a typical eCommerce setting, the customer is presented with seller-generated content from the product catalog, such as an...
conference paper 2020
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Mazzarella, L. (author), Alcañiz Moya, A. (author), Kawa, Eliora (author), Procel Moya, P.A. (author), Zhao, Y. (author), Han, C. (author), Yang, G. (author), Zeman, M. (author), Isabella, O. (author)
Electrical simulations show that the dipole formed at (i)a-Si:H/MoOx interface can explain electrical performance degradation. We experimentally manipulate this interface by a plasma treatment (PT) to mitigate the dipole strength without harming the optical response. The optimal PT + MoOx stack results in strongly improved electrical...
conference paper 2020
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Gadiraju, Ujwal (author), Yang, J. (author)
The unprecedented rise in the adoption of artificial intelligence techniques and automation in many contexts is concomitant with shortcomings of such technology with respect to robustness, interpretability, usability, and trustworthiness. Crowd computing offers a viable means to leverage human intelligence at scale for data creation,...
conference paper 2020
document
Yang, M. (author), Coutino, Mario (author), Isufi, E. (author), Leus, G.J.T. (author)
While regularization on graphs has been successful for signal reconstruction, strategies for controlling the bias-variance trade-off of such methods have not been completely explored. In this work, we put forth a node varying regularizer for graph signal reconstruction and develop a minmax approach to design the vector of regularization...
conference paper 2020
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Kerry, T.J. (author), Peters, Alexander (author), Georgakopoulos, E. (author), Hosseini, A. (author), Offerman, S.E. (author), Yang, Y. (author)
The steelmaking industry produces large quantities of zinc-bearing wastes of varying forms that cannot be treated through integrated steelmaking processes. Simultaneously, by-products of the zinc industry containing great amounts of iron and zinc are stored or landfilled. The amount of zinc in these materials is generally below that which is...
conference paper 2020
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Mesbah, S. (author), Yang, J. (author), Sips, R.H.J. (author), Valle Torre, M. (author), Lofi, C. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Social media provides a timely yet challenging data source for adverse drug reaction (ADR) detection. Existing dictionary-based, semi-supervised learning approaches are intrinsically limited by the coverage and maintainability of laymen health vocabularies. In this paper, we introduce a data augmentation approach that leverages variational...
conference paper 2019
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Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...
conference paper 2019
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