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van den Dobbelsteen, A.A.J.F. (author), Chen, H.C. (author), Dang, M.K. (author), Voskuilen, P. (author)According to the Paris Agreement, cities need to be carbon neutral by 2050. This entails a dramatic transition from a fossil fuel based built environment to one entirely running on renewable energy. In many European cities this means moving away from natural gas as prime source. At present, three options are generally considered as alternatives...conference paper 2023
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Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)An alternative method for sharing knowledge while complying with strict data access regulations, such as the European General Data Protection Regulation (GDPR), is the emergence of synthetic tabular data. Mainstream table synthesizers utilize methodologies derived from Generative Adversarial Networks (GAN). Although several state-of-the-art ...conference paper 2023
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Chen, X. (author), Rivera-arreba, Irene (author), Hofland, Bas (author)Overtopping plumes from wave impact is relevant to coastal defence for overtopping analysis of sea walls, levees, and gates. Improved insight into this phenomenon will further enhance the prediction of wave overtopping and its induced hazard, e.g., erosion, saltwater ingress, and a hindrance to traffic. A series of small-scale experiments have...conference paper 2023
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Chen, Mengying (author), van Oosterom, P.J.M. (author), Kalogianni, E. (author), Dijkstra, Paula (author)The Sustainable Development Goals (SDGs), comprising of 17 Global Goals, serve as a global framework for addressing various facets of sustainable development. Several of these goals emphasize the crucial role of land management and equitable land distribution in achieving sustainable development objectives. ISO 19152, known as the Land...conference paper 2023
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Ghiassi, S. (author), Birke, Robert (author), Chen, Lydia Y. (author)Learning robust deep models against noisy labels becomes ever critical when today's data is commonly collected from open platforms and subject to adversarial corruption. The information on the label corruption process, i.e., corruption matrix, can greatly enhance the robustness of deep models but still fall behind in combating hard classes....conference paper 2023
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Xu, J. (author), Hong, C. (author), Huang, J. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)Federated learning is a private-by-design distributed learning paradigm where clients train local models on their own data before a central server aggregates their local updates to compute a global model. Depending on the aggregation method used, the local updates are either the gradients or the weights of local learning models, e.g., FedAvg...conference paper 2023
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Wen, Minzhen (author), Guo, Baotong (author), Chen, Shanghuan (author), Hu, X. (author), Fan, Xuejun (author), Zhang, Kouchi (author), Fan, J. (author)The (Ca, Sr) AlSiN₃:Eu²⁺(CSASN:Eu) red phosphor is widely used to improve color rendering of high-power phosphor-converted lighting diode (pc-WLED), but it is always unstable under high temperature and high humidity environments. Therefore, the studies on the temperature and humidity resistance of red phosphors and their aging mechanism have...conference paper 2023
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Boonprakong, Nattapat (author), He, G. (author), Gadiraju, Ujwal (author), Van Berkel, Niels (author), Wang, Danding (author), Chen, Si (author), Liu, Jiqun (author), Tag, Benjamin (author), Goncalves, Jorge (author), Dingler, Tilman (author)AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and...conference paper 2023
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Huang, J. (author), Hong, C. (author), Liu, Yang (author), Chen, Lydia Y. (author), Roos, S. (author)Federated learning (FL) enables collaborative learning between parties, called clients, without sharing the original and potentially sensitive data. To ensure fast convergence in the presence of such heterogeneous clients, it is imperative to timely select clients who can effectively contribute to learning. A realistic but overlooked case of...conference paper 2023
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Wang, Zhe (author), Wu, Shilong (author), Chen, Hang (author), He, Mao-Kui (author), Du, Jun (author), Lee, Chin-Hui (author), Chen, Jingdong (author), Watanabe, Shinji (author), Siniscalchi, Sabato Marco (author), Scharenborg, O.E. (author), Liu, Diyuan (author)The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research into wake-up words, speaker diarization, speech recognition, and other technologies. The MISP2022 challenge has two tracks: 1) audio-visual speaker diarization (AVSD),...conference paper 2023
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Ma, Huidong (author), Zhong, Cheng (author), Sun, Hui (author), Chen, Danyang (author), Lin, H.X. (author)The mobile element variant is a very important structural variant, accounting for a quarter of structural variants, and it is closely related to many issues such as genetic diseases and species diversity. However, few detection algorithms of mobile element variants have been developed on third-generation sequencing data. We propose an...conference paper 2023
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Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge devices....conference paper 2023
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Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)Vision applications powered by deep neural networks (DNNs) are widely deployed on edge devices and solve the learning tasks of incoming data streams whose class label and input feature continuously evolve, known as domain shift. Despite its prominent presence in real-world edge scenarios, existing benchmarks used by domain adaptation methods...conference paper 2023
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Chen, Weilun (author), Hoogerwaard, Conchita Martin (author), Lim, Jeffrey (author), Polderdijk, Tim (author), Saveur, Tom (author), Wali, Asror (author), Brinkman, Suzanne (author), van der Ham, Ineke J.M. (author), Bidarra, Rafael (author)Mostly, restorative environments, like parks and forests, are only thought of in the real world. However, one can wonder whether their restorative effects translate to a virtual world; and whether the environment itself makes any difference. In order to assess the possible translation of restorative properties from the real world to a virtual...conference paper 2023
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Chen, Zhiyi (author), Loog, Marco (author), Krijthe, J.H. (author)Learning curves illustrate how generalization performance of a learner evolves with more training data. While this is a useful tool to characterize learners, not all learning curve behavior is well understood. For instance, it is sometimes assumed that the more training data provided, the better the learner performs. However, counter-examples...conference paper 2023
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- Porta Ko, Agustí (author), Schmehl, Roland (author), Smidt, Sture (author), Mandru, Manoj (author), Hornzee-Jones, Christopher (author), Chen, Yimeng (author) conference paper 2022
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Styczen, MacIej (author), Chen, Bing Jyue (author), Teng, Ya Wen (author), Pignolet, Yvonne Anne (author), Chen, Lydia Y. (author), Yang, De Nian (author)When spreading information over social networks, seeding algorithms selecting users to start the dissemination play a crucial role. The majority of existing seeding algorithms focus solely on maximizing the total number of reached nodes, overlooking the issue of group fairness, in particular, gender imbalance. To tackle the challenge of...conference paper 2022
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Wu, Han (author), Zhao, Z. (author), Chen, Lydia Y. (author), van Moorsel, Aad (author)Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, voice and similar data, but recently it has started to draw attention from domains including...conference paper 2022
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Gu, Guanjie (author), Yang, Changgui (author), Li, Zhuhao (author), Feng, Xiangdong (author), Chang, Ziyi (author), Wang, Ting-Hsun (author), Zhang, Yunshan (author), Luo, Yuxuan (author), Zhang, Hong (author), Wang, Ping (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)Body Channel Communication (BCC) offers a low-loss signal transmission medium for ultra-low-power wearable devices on human body [1]. However, the effective communication range on human body is limited to less than 1m in the state-of-the-art BCC transceivers [2], where the signal loss at the interface of body surface and BCC receiver remains to...conference paper 2022
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Piazzoni, Andrea (author), Vijay, Roshan (author), Cherian, Jim (author), Chen, Lyu (author), Dauwels, J.H.G. (author)The worldwide development of Autonomous Vehicles (AVs) has also encouraged the use of software simulators for virtual testing of AVs. However, the effectiveness of the AV simulators is constrained by numerous challenges, such as their computational cost and lack of fidelity in specific areas. In this paper, we describe the modality of virtual...conference paper 2022