Zurich, Switzerland

Georgios Chaloulos

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):

Title: Georgios Chaloulos: Innovator in Data Label Verification

Introduction

Georgios Chaloulos is a prominent inventor based in Zurich, Switzerland. He has made significant contributions to the field of data verification, particularly through his innovative patent. His work focuses on enhancing the accuracy and efficiency of data labeling processes.

Latest Patents

Chaloulos holds a patent titled "Data label verification using few-shot learners." This invention discloses a method for verifying labels of records within a dataset. The records consist of sample data and a related label from a plurality of labels. The method involves processors dividing the dataset into a training dataset and an inference dataset. The training dataset comprises records related to a selected label, while the inference dataset includes records with sample data corresponding to the selected label and all other labels. The method further divides the training dataset into multiple learner training datasets, each containing at least one sample related to the selected label. A plurality of label-specific few-shot learners is then trained using these datasets, which ultimately perform inference on the inference dataset to generate predicted label output values.

Career Highlights

Chaloulos is associated with the International Business Machines Corporation (IBM), where he applies his expertise in data science and machine learning. His innovative approach to data verification has positioned him as a key player in the tech industry.

Collaborations

Chaloulos has collaborated with notable colleagues, including Andrea Giovannini and Frederik Frank Flother. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Georgios Chaloulos is a distinguished inventor whose work in data label verification is paving the way for advancements in machine learning and data science. His contributions are essential for improving the reliability of data processing systems.

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