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What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media

Autor: Kuang, Junwei, Xie, Jiaheng, Yan, Zhijun

Depression is the most prevalent and serious mental illness, which induces grave financial and societal ramifications. Depression detection is key for early intervention to mitigate those consequences. Such a high-stake decision inherently necessitat

Externí odkaz: http://arxiv.org/abs/2305.13127

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Vector Soliton Breathing Dynamics

Autor: Huang, Zhiwei, Sergeyev, Sergey, Wang, Qing, Kbashi, Hani, Stoliarov, Dmitrii, Huang, Qianqian, Dai, Yuze, Yan, Zhijun, Mou, Chengbo

Mode-locked lasers play the role of the ideal testbeds for studying self-coherent structures, dissipative solitons, with stable spatiotemporal profiles supported by the balance between dispersion and nonlinearity. However, under some conditions, the

Externí odkaz: http://arxiv.org/abs/2211.09550

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IGN : Implicit Generative Networks

Autor: Luo, Haozheng, Wu, Tianyi, Han, Colin Feiyu, Yan, Zhijun

In this work, we build recent advances in distributional reinforcement learning to give a state-of-art distributional variant of the model based on the IQN. We achieve this by using the GAN model's generator and discriminator function with the quanti

Externí odkaz: http://arxiv.org/abs/2206.05860

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