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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...conference paper 2023
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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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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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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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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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Chen, Qinyu (author), Wang, Zuowen (author), Liu, Shih Chii (author), Gao, C. (author)This paper presents a sparse Change-Based Convolutional Long Short-Term Memory (CB-ConvLSTM) model for event-based eye tracking, key for next-generation wearable healthcare technology such as AR/VR headsets. We leverage the benefits of retina-inspired event cameras, namely their low-latency response and sparse output event stream, over...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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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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Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)Generative Adversarial Networks (GANs) are typically trained to synthesize data, from images and more recently tabular data, under the assumption of directly accessible training data. While learning image GANs on Federated Learning (FL) and Multi-Discriminator (MD) systems has just been demonstrated, it is unknown if tabular GANs can be learned...conference paper 2023
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Li, Zhen (author), Chen, Zhiyuan (author), Law, Man-Kay (author), Du, S. (author), Cheng, Xu (author), Zeng, Xiaoyang (author), Han, Jun (author)With the advent of the lnternet-of-Things (1oT) era, sensor nodes are required in almost all fields to achieve a better interaction between humans and the environment. Piezoelectric energy harvester (PEH), which exhibits an equivalent electrical model of an AC current source /P in parallel with the inherent capacitor CP, is a promising...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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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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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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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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- 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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Jonkheijm, L. (author), Chen, B. Y. (author), Schuurman, M.J. (author)With the rising number of Unmanned Aerial Systems (UAS) flying in the sky, an increase in collisions with manned aircraft seems inevitable. Since these devices are permitted to operate in airspace which they share with rotorcraft, a helicopter is certainly not retained from the risk of colliding with a UAS. The only prevailing impact related...conference paper 2022
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Prabhu, Mihika (author), Errando-Herranz, Carlos (author), De Santis, L. (author), Christen, Ian (author), Chen, Changchen (author), Englund, Dirk (author)We demonstrate silicon color centers coupled to foundry-compatible silicon waveguides. We produced G-centers via carbon implantation in commercial silicon-on-insulator waveguides and measure through-waveguide single-photon emission in the telecommunications O-band.conference paper 2022
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Rocha, Isabelly (author), Felber, Pascal (author), Schiavoni, Valerio (author), Chen, Lydia Y. (author)Deep Neural Networks (DNNs) have demonstrated impressive performance on many machine-learning tasks such as image recognition and language modeling, and are becoming prevalent even on mobile platforms. Despite so, designing neural architectures still remains a manual, time-consuming process that requires profound domain knowledge. Recently,...conference paper 2022
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Cox, B.A. (author), Chen, Lydia Y. (author), Decouchant, Jérémie (author)Federated Learning (FL) is a popular deep learning approach that prevents centralizing large amounts of data, and instead relies on clients that update a global model using their local datasets. Classical FL algorithms use a central federator that, for each training round, waits for all clients to send their model updates before aggregating them...conference paper 2022