Francis Duplessis

Title: Innovations of Francis Duplessis

Introduction

Francis Duplessis is an accomplished inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning through his innovative patent. His work reflects a deep understanding of technology and its applications in monitoring systems.

Latest Patents

Francis holds a patent for a "System and method for machine learning monitoring." This invention involves monitoring a machine learning model by generating a time series of discrete time bins. For each time bin, data point labels are predicted using a labeling function to apply weak labels to incoming data. Additionally, for each data point label, one or more metric values are generated by comparing the data point label to output labels of the machine learning model. An aggregate metric for the time bin is then created based on these metric values, allowing for the identification of anomalies in the aggregate metrics over time.

Career Highlights

Francis is currently employed at the Royal Bank of Canada, where he applies his expertise in machine learning to enhance the bank's technological capabilities. His role involves developing innovative solutions that improve monitoring systems and data analysis.

Collaborations

Francis has collaborated with talented individuals such as Marjan Albooyeh and Nathaniel Hopp. Their teamwork has contributed to the advancement of projects within the bank, showcasing the importance of collaboration in innovation.

Conclusion

Francis Duplessis is a notable inventor whose work in machine learning monitoring exemplifies the intersection of technology and innovation. His contributions continue to influence the field and demonstrate the potential of machine learning applications.