1 citations · 2 across the 3 of their papers we have counts for
3 papers
Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
Hangming Zhang, Alexander Sboev, Roman Rybka +1
Spiking Neural Networks have attracted significant attention in recent years due to their distinctive low-power characteristics. Meanwhile, Transformer models, known for their powe…
Strict baselines for Covid-19 forecasting and ML perspective for USA and Russia
Alexander G. Sboev, Nikolay A. Kudryshov, Ivan A. Moloshnikov +3
Currently, the evolution of Covid-19 allows researchers to gather the datasets accumulated over 2 years and to use them in predictive analysis. In turn, this makes it possible to a…
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets
Alexander Sboev, Sanna Sboeva, Ivan Moloshnikov +6
We present the full-size Russian complexly NER-labeled corpus of Internet user reviews, along with an evaluation of accuracy levels reached on this corpus by a set of advanced deep…