- 学术相关
- Beyond the Pair: Media Archetypes and Complex Channel Synergies in Advertising
- Flexible ability-willingness trade-offs in cooperative partner choice: Evidence from a drift-diffusion model and ERP data
- Improving human sequential decision making with reinforcement learning
- Humans’ use of AI assistance: the effect of loss aversion on willingness to delegate decisions
- Predicting participation shift of users at the next stage in social networks
- 娱乐
学术相关
Beyond the Pair: Media Archetypes and Complex Channel Synergies in Advertising 1
Flexible ability-willingness trade-offs in cooperative partner choice: Evidence from a drift-diffusion model and ERP data 2
Improving human sequential decision making with reinforcement learning 3
Humans’ use of AI assistance: the effect of loss aversion on willingness to delegate decisions 4
Predicting participation shift of users at the next stage in social networks 5
娱乐
Time-lagged recurrence: a data-driven method to estimate the predictability of dynamical systems 6
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Bell, J. J., Thomaz, F., & Stephen, A. T. (2025). Beyond the Pair: Media Archetypes and Complex Channel Synergies in Advertising. Journal of Marketing, 00222429241302808. https://doi.org/10.1177/00222429241302808 ↩
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Xu, Q., Wang, J., Wang, J., & Li, P. (2025). Flexible ability-willingness trade-offs in cooperative partner choice: Evidence from a drift-diffusion model and ERP data. Neuroimage, 121282. https://doi.org/10.1016/j.neuroimage.2025.121282 ↩
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Bastani, H., Bastani, O., & Sinchaisri, W. P. (2025). Improving human sequential decision making with reinforcement learning. Management Science, mnsc.2022.2455. https://doi.org/10.1287/mnsc.2022.02455 ↩
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Bockstedt, J. C., & Buckman, J. R. (2025). Humans’ use of AI assistance: The effect of loss aversion on willingness to delegate decisions. Management Science. https://doi.org/10.1287/mnsc.2024.05585 ↩
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Zhang, Y., Wang, Z., Zhuang, H., Song, L., Wen, G., Guan, J., & Zhou, S. (2025). Predicting participation shift of users at the next stage in social networks. IEEE Transactions on Network Science and Engineering, 12(2), 1066–1079. https://doi.org/10.1109/tnse.2024.3523300 ↩
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Dong, C., Faranda, D., Gualandi, A., Lucarini, V., & Mengaldo, G. (2025). Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems. Proceedings of the National Academy of Sciences, 122(20). https://doi.org/10.1073/pnas.2420252122 ↩