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Modeling interaction as a complex system [PDF]
Human–Computer Interaction, 2020 Researchers in Human-Computer Interaction typically rely on experiments to assess the causal effects of experimental conditions on variables of interest. Although this classic approach can be very useful, it offers little help in tackling questions of causality in the kind of data that are increasingly common in HCI–capturing user behavior ‘in the wild.
Niels van Berkel +5 more
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Democratising Complex System Modelling
Scientific Reports, 2023 Abstract In the contemporary context of an acute need for sustainability and swift response to imminent crises such as global warming, pandemics and economic system disruptions, the focus on responsible decision making, ethical risk assessment and mitigation at all organizational levels is an overarching goal.
Anabele-Linda Pardi, Elizaveta Burina
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IEEE Access, 2022 Graph neural network-based recommender systems are blossoming recently, and it can explicitly express user-item high-order connectivity information, so it can significantly improve the recommendation performance.
Dewen Seng +3 more
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Modeling complex systems [PDF]
Agricultural Economics, 2010 AbstractEmpirical observations suggest that linear dynamics are not an adequate representation of ecological systems and that a realistic representation would require adoption of complex nonlinear dynamical systems with characteristics encountered in complex adaptive systems (CAS).
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On modelling the immune system as a complex system [PDF]
Theory in Biosciences, 2006 We argue that immune system is an adaptive complex system. It is shown that it has emergent properties. Its network structure is of the small world network type. The network is of the threshold type, which helps in avoiding autoimmunity. It has the property that every antigen (e.g.virus or bacteria) is typically attacked by more than one effector. This
E. Ahmed, A. H. Hashish
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A Novel Imbalanced Ensemble Learning in Software Defect Predication
IEEE Access, 2021 With the availability of high-speed Internet and the advent of Internet of Things devices, modern software systems are growing in both size and complexity. Software defect prediction (SDP) guarantees the high quality of such complex systems. However, the
Jianming Zheng +4 more
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New inequalities between the inverse hyperbolic tangent and the analogue for corresponding functions
Journal of Inequalities and Applications, 2020 In this paper, we present new inequalities which reveal further relationship for both the inverse tangent function arctan ( x ) $\arctan (x)$ and the inverse hyperbolic function arctanh ( x ) $\operatorname{arctanh}(x)$ .
Xiao-Diao Chen, Long Nie, Wangkang Huang
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Adaptive Learning User Implicit Trust Behavior Based on Graph Convolution Network
IEEE Access, 2021 In the existing social recommendation algorithms, the performance of the algorithms is bothered by the problem of noise and sparsity in social information. In the past few years, researchers have usually focused on solving noise problem or sparse problem,
Dewen Seng +3 more
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A Flow-Based Generative Network for Photo-Realistic Virtual Try-on
IEEE Access, 2022 Image-based virtual try-on systems aim at transferring the try-on clothes onto a target person. Despite making considerable progress recently, such systems are still highly challenging for real-world applications because of occlusion and drastic spatial ...
Tao Wang, Xiaoling Gu, Junkai Zhu
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A two-point-Padé-approximant-based method for bounding some trigonometric functions
Journal of Inequalities and Applications, 2018 Inequalities are frequently used for solving practical engineering problem. There are two key issues of bounding inequalities; one is to find the bounds, and the other is to prove the bounds.
Xiao-Diao Chen +3 more
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