Heidelberg, Germany

Shachar Klaiman

USPTO Granted Patents = 4 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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4 patents (USPTO):Explore Patents

Title: Shachar Klaiman: Innovator in Document Information Extraction and Service Ticket Classification

Introduction

Shachar Klaiman is a notable inventor based in Heidelberg, Germany. He has made significant contributions to the fields of document information extraction and service ticket classification. With a total of 4 patents to his name, Klaiman's work showcases his expertise in utilizing advanced neural network techniques.

Latest Patents

One of Klaiman's latest patents is focused on document information extraction without additional annotations. This innovative system processes input documents using a convolutional neural network to create a spatial-aware feature map. The method involves generating attention weights and context vectors, ultimately extracting relevant fields from the document. Another significant patent involves a densely connected convolutional neural network designed for service ticket classification. This method classifies text related to service tickets by applying a dense convolutional neural network, which includes multiple convolution layers to enhance classification accuracy.

Career Highlights

Shachar Klaiman is currently employed at SAP SE, where he continues to develop cutting-edge technologies. His work at SAP SE emphasizes the importance of machine learning and artificial intelligence in improving business processes and customer service.

Collaborations

Klaiman has collaborated with talented individuals such as Marius Lehne and Anoop Raveendra Katti. These collaborations have contributed to the advancement of his innovative projects and patents.

Conclusion

Shachar Klaiman's contributions to the fields of document information extraction and service ticket classification highlight his innovative spirit and technical expertise. His patents reflect a commitment to enhancing technology through advanced neural network applications.

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