Smolensk, Russia

Ivan Ivanovich Ivashnev


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Innovations of Ivan Ivanovich Ivashnev

Introduction

Ivan Ivanovich Ivashnev is a notable inventor based in Smolensk, Russia. He has made significant contributions to the field of natural language processing through his innovative patents. With a total of two patents to his name, Ivashnev is recognized for his work in utilizing advanced machine learning techniques.

Latest Patents

One of Ivashnev's latest patents is titled "Using autoencoders for training natural language text classifiers." This patent outlines systems and methods for employing autoencoders to enhance the training of natural language classifiers. The method involves producing a plurality of feature vectors that represent natural language texts from a text corpus. This corpus includes both annotated and un-annotated texts. The process entails training an autoencoder, represented by an artificial neural network, using these feature vectors. The autoencoder then generates an output from its hidden layer, which is used to train a text classifier. This classifier accepts an input vector comprising the hidden layer's output and determines the degree of association with specific text categories.

Career Highlights

Ivan Ivanovich Ivashnev is currently employed at Abbyy Production LLC, where he continues to develop innovative solutions in the realm of natural language processing. His work has positioned him as a key figure in the advancement of machine learning applications.

Collaborations

Some of Ivashnev's notable coworkers include Konstantin Anisimovich and Evgenii Mikhailovich Indenbom. Their collaborative efforts contribute to the innovative environment at Abbyy Production LLC.

Conclusion

Ivan Ivanovich Ivashnev's contributions to the field of natural language processing through his patents demonstrate his expertise and commitment to innovation. His work continues to influence advancements in machine learning and natural language classification.

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