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   https://doi.org/10.1109/LRA.2021.3056368  

   Power, Thomas ; Berenson, Dmitry ( April 2021 , IEEE Robotics and Automation Letters)
2. Simple arithmetic: not so simple for highly math anxious individuals

   https://doi.org/10.1093/scan/nsx121  

   Chang, Hyesang ; Sprute, Lisa ; Maloney, Erin A ; Beilock, Sian L ; Berman, Marc G ( November 2017 , Social Cognitive and Affective Neuroscience)
3. When Simple Statistical Algorithms Outperform Deep Learning: A Case of Keystroke Dynamics [When Simple Statistical Algorithms Outperform Deep Learning: A Case of Keystroke Dynamics]

   https://doi.org/10.5220/0011684100003411  

   Wahab, Ahmed ; Hou, Daqing ( January 2023 , Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM)

   Keystroke dynamics has gained relevance over the years for its potential in solving practical problems like online fraud and account takeovers. Statistical algorithms such as distance measures have long been a common choice for keystroke authentication due to their simplicity and ease of implementation. However, deep learning has recently started to gain popularity due to their ability to achieve better performance. When should statistical algorithms be preferred over deep learning and vice-versa? To answer this question, we set up experiments to evaluate two state-of-the-art statistical algorithms: Scaled Manhattan and the Instance-based Tail Area Density (ITAD) metric, with a state-of-the-art deep learning model called TypeNet, on three datasets (one small and two large). Our results show that on the small dataset, statistical algorithms significantly outperform the deep learning approach (Equal Error Rate (EER) of 4.3% for Scaled Manhattan / 1.3% for ITAD versus 19.18% for TypeNet ). However, on the two large datasets, the deep learning approach performs better (22.9% & 28.07% for Scaled Manhattan / 12.25% & 20.74% for ITAD versus 0.93% & 6.77% for TypeNet). 

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4. A Simple, Serendipitous Synthesis of Heterohexahelicenes: A Simple, Serendipitous Synthesis of Heterohexahelicenes

   https://doi.org/10.1002/ejoc.201901207  

   Dougherty, Kelly J. ; Qin, Qian ; Cruz, Ricardo ; Cho, Yeyoung ; Donahue, James P. ; Mague, Joel T. ; Wilson, Laura J. ; Kraml, Christina M. ; Pascal, Robert A. ( October 2019 , European Journal of Organic Chemistry)
5. Heterogeneity of Purkinje cell simple spike-complex spike interactions: zebrin- and non-zebrin-related variations: Simple spike-complex spike interactions

   https://doi.org/10.1113/JP274252  

   Tang, Tianyu ; Xiao, Jianqiang ; Suh, Colleen Y. ; Burroughs, Amelia ; Cerminara, Nadia L. ; Jia, Linjia ; Marshall, Sarah P. ; Wise, Andrew K. ; Apps, Richard ; Sugihara, Izumi ; et al ( August 2017 , The Journal of Physiology)