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He, G. (author), Balayn, A.M.A. (author), Buijsman, S.N.R. (author), Yang, J. (author), Gadiraju, Ujwal (author)
With recent advances in explainable artificial intelligence (XAI), researchers have started to pay attention to concept-level explanations, which explain model predictions with a high level of abstraction. However, such explanations may be difficult to digest for laypeople due to the potential knowledge gap and the concomitant cognitive load....
conference paper 2022
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Allen, G.M. (author), Yang, J. (author), Pera, Maria Soledad (author), Gadiraju, Ujwal (author)
We present pathways of investigation regarding conversational user interfaces (CUIs) for children in the classroom. We highlight anticipated challenges to be addressed in order to advance knowledge on CUIs for children. Further, we discuss preliminary ideas on strategies for evaluation.
conference paper 2021
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Arous, Ines (author), Dolamic, Ljiljana (author), Yang, J. (author), Bhardwaj, Akansha (author), Cuccu, Giuseppe (author), Cudré-Mauroux, Philippe (author)
Explainability is a key requirement for text classification in many application domains ranging from sentiment analysis to medical diagnosis or legal reviews. Existing methods often rely on "attention" mechanisms for explaining classification results by estimating the relative importance of input units. However, recent studies have shown that...
conference paper 2021
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Yang, Kai (author), Ye, G. (author), De Schutter, Geert (author)
Water molecules exist as two spin isomers, differing by the relative orientation of the nuclear spins of the two hydrogen atoms: either antiparallel (para-water, S=0) or parallel (ortho-water, S=1) [1]. The transition between these nuclear spin states can be achieved through magnetic symmetry breaking via a field gradient across the spins...
conference paper 2021
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Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safe exploration is regarded as a key priority area for reinforcement learning research. With separate reward and safety signals, it is natural to cast it as constrained reinforcement learning, where expected long-term costs of policies are constrained. However, it can be hazardous to set constraints on the expected safety signal without...
conference paper 2021
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Yang, Maosheng (author), Isufi, E. (author), Schaub, Michael T. (author), Leus, G.J.T. (author)
In this paper, we study linear filters to process signals defined on simplicial complexes, i.e., signals defined on nodes, edges, triangles, etc. of a simplicial complex, thereby generalizing filtering operations for graph signals. We propose a finite impulse response filter based on the Hodge Laplacian, and demonstrate how this filter can be...
conference paper 2021
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He, Nan (author), Yang, S. (author), Li, Fan (author), Trajanovski, S. (author), Kuipers, F.A. (author), Fu, Xiaoming (author)
The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately, these aspects are not easily optimized, especially under time-varying network states with different quality of service (QoS) requirements. Given the importance of...
conference paper 2021
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Alfieri, S.M. (author), Foroughnia, Fatemeh (author), van Natijne, A.L. (author), Mousivand, A. (author), Lindenbergh, R.C. (author), Porcu, Federico (author), Zieher, Thomas (author), Pulvirulenti, Beatrice (author), Yang, Jingxin (author), Menenti, M. (author)
The ambition of H2020 OPERANDUM project is to develop and document Nature Based Solutions (NBS) to mitigate risks associated with hydro-meteorological (HM) hazards. NBS mitigate risks by reducing the vulnerability of a particular system. The aim of this work is to demonstrate the use of multisource remote sensing data in documenting the impact...
conference paper 2021
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Arcondoulis, Elias J. G. (author), Liu, Yu (author), Yang, Yannian (author), Ragni, D. (author), Rubio Carpio, A. (author), Avallone, F. (author)
View Video Presentation: https://doi-org.tudelft.idm.oclc.org/10.2514/6.2021-2226.vid<br/><br/>The mechanisms responsible for vortex shedding reduction, due to the application of a porous coating to a smooth cylinder placed in uniform flow, are still uncertain despite several numerical and experimental studies. To help understand these...
conference paper 2021
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Najafian, S. (author), Draws, T.A. (author), Barile, Francesco (author), Tkalcic, Marko (author), Yang, J. (author), Tintarev, N. (author)
Recent research has shown that explanations serve as an important means to increase transparency in group recommendations while also increasing users' privacy concerns. However, it is currently unclear what personal and contextual factors affect users' privacy concerns about various types of personal information. This paper studies the effect...
conference paper 2021
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Nadeem, A. (author), Verwer, S.E. (author), Moskal, Stephen (author), Yang, Shanchieh Jay (author)
Attack graphs (AG) are a popular area of research that display all the paths an attacker can exploit to penetrate a network. Existing techniques for AG generation rely heavily on expert input regarding vulnerabilities and network topology. In this work, we advocate the use of AGs that are built directly using the actions observed through...
conference paper 2021
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Liu, Hao (author), Ye, Hanting (author), Yang, J. (author), Wang, Q. (author)
Motivated by the trend of realizing full screens on devices such as smartphones, in this work we propose through-screen sensing with visible light for the application of fingertip air-writing. The system can recognize handwritten digits with under-screen photodiodes as the receiver. The key idea is to recognize the weak light reflected by the...
conference paper 2021
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Wang, Ke (author), Reniers, G.L.L.M.E. (author), Yang, Yongsheng (author), Li, Jian (author), Huang, Quanyi (author)
In China, storm surge disasters cause severe damages in coastal regions. One of the most critical tasks is to predict affected regions and their relative damage levels to support decision-making. This study develops a two-stage retrieval model to search the most similar past disaster case to complete prediction. Based on spatial attributes of...
conference paper 2021
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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
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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
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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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