Dublin, Ireland

Elouan Argouarch

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Business Objects Software Limited. Active years: 2024.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Elouan Argouarch: Innovator in Time-Series Forecasting

Introduction

Elouan Argouarch is a notable inventor based in Dublin, Ireland. He has made significant contributions to the field of time-series forecasting through his innovative patent. His work focuses on enhancing the accuracy and interpretability of predictive models, which is crucial in various applications.

Latest Patents

Elouan holds a patent titled "Determining component contributions of time-series model." This patent provides a system and method that decomposes a predicted output signal of a time-series forecasting model into multiple sub-signals corresponding to various components. The method involves iteratively predicting an output signal of a time-series data value through the execution of a time-series model. It also includes decomposing the predicted output signal into component signals and displaying the global contributions of each component via a user interface. This innovation is particularly valuable for users seeking to understand the underlying factors influencing their predictive models.

Career Highlights

Elouan Argouarch is currently employed at Business Objects Software Limited, where he applies his expertise in machine learning and data analysis. His role involves developing advanced algorithms that improve forecasting accuracy and usability. His dedication to innovation has positioned him as a key player in his field.

Collaborations

Elouan collaborates with Jacques Doan Huu, leveraging their combined expertise to push the boundaries of time-series analysis and forecasting technologies.

Conclusion

Elouan Argouarch's contributions to time-series forecasting through his patent demonstrate his commitment to innovation and excellence in the field. His work not only enhances predictive accuracy but also aids users in understanding complex data signals.

Profile summary based on public USPTO records.
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