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Balayn, A.M.A. (author), Yurrita Semperena, M. (author), Yang, J. (author), Gadiraju, Ujwal (author)
Fairness toolkits are developed to support machine learning (ML) practitioners in using algorithmic fairness metrics and mitigation methods. Past studies have investigated practical challenges for toolkit usage, which are crucial to understanding how to support practitioners. However, the extent to which fairness toolkits impact practitioners’...
conference paper 2023
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Poliotti, M. (author), Yang, Y. (author), De Boer, Ane (author)
In old Dutch inner cities like Amsterdam a large number of steel-concrete bridge decks built between 1880 and 1960 remain in service nowadays and currently need assessment of their bearing capacity. A significant number of these decks were designed without any mechanical connectors like shear studs in the interface between concrete and steel....
conference paper 2023
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Fu, Bin (author), Sun, B. (author), Guo, Hang (author), Yang, Tao (author), Fu, Wenxing (author)
The current study presents an online iterative adaptive dynamic programming approach to resolve the zero-sum game (ZSG) for nonlinear continuous-time (CT) systems containing a partially unknown dynamic. The Hamilton-Jacobian-Issacs (HJI) equation is solved along the state trajectory according to the value function approximation and the policy...
conference paper 2023
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Duan, Di (author), Yang, Huanqi (author), Lan, G. (author), Li, Tianxing (author), Jia, Xiaohua (author), Xu, Weitao (author)
This paper presents EMGSense, a low-effort self-supervised domain adaptation framework for sensing applications based on Electromyography (EMG). EMGSense addresses one of the fundamental challenges in EMG cross-user sensing—the significant performance degradation caused by time-varying biological heterogeneity—in a low-effort (data-efficient and...
conference paper 2023
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Yang, Q. (author), Simão, T. D. (author), Jansen, Nils (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the application of reinforcement learning (RL). Often, we train RL agents in a controlled environment, such as a laboratory, before deploying them in the real world. However, the real-world target task might be unknown prior to deployment. Reward-free RL trains an agent without the reward to adapt quickly once...
conference paper 2023
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Sharifi Noorian, S. (author), Qiu, S. (author), Sayin, Burcu (author), Balayn, A.M.A. (author), Gadiraju, Ujwal (author), Yang, J. (author), Bozzon, A. (author)
High-quality data plays a vital role in developing reliable image classification models. Despite that, what makes an image difficult to classify remains an unstudied topic. This paper provides a first-of-its-kind, model-agnostic characterization of image atypicality based on human understanding. We consider the setting of image classification...
conference paper 2023
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Zhu, R. (author), Yang, M. (author), Yang, J. (author), Wang, Q. (author)
Federated Learning (FL) is an important privacy-preserving learning paradigm that is expected to play an essential role in the future Intelligent Internet of Things (IoT). However, model training in FL is vulnerable to noise and the statistical heterogeneity of local data across IoT clients. In this paper, we propose FedNaWi, a “Go Narrow, Then...
conference paper 2023
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Hersyandika, Rizqi (author), Rossanese, Marco (author), Lutu, Andra (author), Yang, Miao (author), Wang, Q. (author), Pollin, Sofie (author)
This paper studies a promising use case of a private 5G network for the sports industry: wearable bodycams and sensors in a football match. This use case requires a reliable and dedicated massive MIMO network to provide uniform coverage with a high capacity in the whole pitch area. The coverage of co-located and distributed (cell-free) massive...
conference paper 2023
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Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)
Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...
conference paper 2022
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Yang, Tao (author), Xie, Rongxian (author), Veljkovic, M. (author)
Bolt shear connectors have the advantage of efficient installation and demolition when used in prefabricated composite beams. When bolt shear connectors are damaged in the service period and replaced by new ones, the shear performance of replaced bolts is to be affected by the existing structural damage. This paper investigates the shear...
conference paper 2022
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Lee, J. (author), Mitici, M.A. (author), Geng, S. (author), Yang, M. (author)
When designing the maintenance of multi-component aircraft systems, we consider parameters such as safety margins (used when component replacements are scheduled), and reliability thresholds (used to define data-driven Remaining-Useful-Life prognostics of components). We propose Gaussian process learning and novel adaptive sampling techniques to...
conference paper 2022
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Ibrahim, M.S. (author), Yang, Y. (author), Roosen, M.A. (author), Hendriks, M.A.N. (author)
There are a large number of precast girder bridges in the Netherlands that are made continuous utilizing cast in situ layers and cross beams. When controlled by the Eurocode minimum shear reinforcement requirement, the majority of these bridges that were constructed before the 1970s have insufficient amount of transverse reinforcement, which...
conference paper 2022
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Lu, J. (author), Yang, Y. (author), Hendriks, M.A.N. (author)
For reinforced concrete members without shear reinforcement, the shear failure is characterized by the formation of a critical flexural shear crack. Recently experimental observations making use of Digital Image Correlation (DIC) by many researchers suggested the significance of geometric characteristics and kinematic conditions of critical...
conference paper 2022
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Zhu, P. (author), Wang, Z. (author), Yang, J. (author), Hauff, C. (author), Anand, A. (author)
Quality control is essential for creating extractive question answering (EQA) datasets via crowdsourcing. Aggregation across answers, i.e. word spans within passages annotated, by different crowd workers is one major focus for ensuring its quality. However, crowd workers cannot reach a consensus on a considerable portion of questions. We...
conference paper 2022
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Yang, Q. (author), Simão, T. D. (author), Jansen, Nils (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the a lication of reinforcement learning (RL). Often, RL agents are trained in a controlled environment, such as a laboratory, before being de loyed in the real world. However, the target reward might be unknown rior to de loyment. Reward-free RL addresses this roblem by training an agent without the reward to...
conference paper 2022
document
Yang, Q. (author), Simão, T. D. (author), Tindemans, Simon H. (author), Spaan, M.T.J. (author)
Safety is critical to broadening the real-world use of reinforcement learning (RL). Modeling the safety aspects using a safety-cost signal separate from the reward is becoming standard practice, since it avoids the problem of finding a good balance between safety and performance. However, the total safety-cost distribution of different...
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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Demartini, Gianluca (author), Yang, J. (author), Sadiq, Shazia (author)
Although data quality is a long-standing and enduring problem, it has recently received a resurgence of attention due to the fast proliferation of data analytics, machine learning, and decision-support applications built upon the wide-scale availability and accessibility of (big) data. The success of such applications heavily relies on not...
conference paper 2022
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Wang, Zhen (author), Shan, X. (author), Zhang, Xiangxie (author), Yang, J. (author)
Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification. In this paper, we propose a new dataset, N24News, which is generated from New York Times with 24 categories and contains both text and image information in each news. We use...
conference paper 2022
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Kamran, Danial (author), Simão, T. D. (author), Yang, Q. (author), Ponnambalam, C.T. (author), Fischer, Johannes (author), Spaan, M.T.J. (author), Lauer, Martin (author)
The use of reinforcement learning (RL) in real-world domains often requires extensive effort to ensure safe behavior. While this compromises the autonomy of the system, it might still be too risky to allow a learning agent to freely explore its environment. These strict impositions come at the cost of flexibility and applying them often relies...
conference paper 2022
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