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web:publications [2018/09/03 01:29]
arman
web:publications [2021/03/23 10:22]
arman
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 ====== Peer-reviewed publications ====== ====== Peer-reviewed publications ======
-   * **Reliability of TMS Phosphene Threshold Estimation: Toward a Standardized Protocol** \\ Mazzi C., Savazzi, S.,  Abrahamyan, A., Ruzzoli, M. (2017) \\ Brain Stimulation. Available online 2 February. ++++ More | \\ //Abstract.// **Background**+   * **Mix2Vec: Unsupervised Mixed Data Representation** \\ Zhu C., Zhang Q., Cao L., Abrahamyan A. (2020) \\ IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), Sydney, NSW, Australia, 2020, pp. 118-127. ++ More | //Abstract.// Unsupervised representation learning on mixed data is highly challenging but rarely explored. It has to tackle significant challenges related to common issues in real-life mixed data, including sparsity, dynamics and heterogeneity of attributes and values. This work introduces an effective and efficient unsupervised deep representer called Mix2Vec to automatically learn a universal representation of dynamic mixed data with the above complex characteristics. Mix2Vec is empowered with three effective mechanisms: random shuffling prediction, prior distribution matching, and structural informativeness maximization, to tackle the aforementioned challenges. These mechanisms are implemented as an unsupervised deep neural representer Mix2Vec. Mix2Vec converts complex mixed data into vector space-based representations that are universal and comparable to all data objects and transparent and reusable for both unsupervised and supervised learning tasks. Extensive experiments on four large mixed datasets demonstrate that Mix2Vec performs significantly better than state-of-the-art deep representation methods. We also empirically verify the designed mechanisms in terms of representation quality, visualization and capability of enabling better performance of downstream tasks. 
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 +   * **Reliability of TMS Phosphene Threshold Estimation: Toward a Standardized Protocol** \\ Mazzi C., Savazzi, S.,  Abrahamyan, A., Ruzzoli, M. (2017) \\ Brain Stimulation. Available online 2 February. ++ More | \\ //Abstract.// **Background**
 Phosphenes induced by transcranial magnetic stimulation (TMS) are a subjectively described visual phenomenon employed in basic and clinical research as index of the excitability of retinotopically organized areas in the brain. Phosphenes induced by transcranial magnetic stimulation (TMS) are a subjectively described visual phenomenon employed in basic and clinical research as index of the excitability of retinotopically organized areas in the brain.
 \\ **Objective** \\ **Objective**
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 \\ [[http://dx.doi.org/10.1016/j.brs.2017.01.582]] \\ [[http://dx.doi.org/10.1016/j.brs.2017.01.582]]
 \\ {{:pdf:mazzi_et_al_brainstim_2017.pdf|PDF}} \\ {{:pdf:mazzi_et_al_brainstim_2017.pdf|PDF}}
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    * **Adaptable History Biases in Human Perceptual Decisions** \\ Abrahamyan, A., Silva L. L., Dakin S. C., Carandini M., & Gardner J. L. (2016) \\ Proceedings of the National Academy of Sciences, 113(25), E3548–57.   ++ More|\\    * **Adaptable History Biases in Human Perceptual Decisions** \\ Abrahamyan, A., Silva L. L., Dakin S. C., Carandini M., & Gardner J. L. (2016) \\ Proceedings of the National Academy of Sciences, 113(25), E3548–57.   ++ More|\\