Heidelberg, Germany

Francesco Alesiani

This inventor holds 18 USPTO granted patents and 26 published patent applications and 6 EPO patents, primarily in Machine Learning. Top assignee: Nec Corporation. Active years: 2018-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Francesco Alesiani. Retrieved from https://idiyas.com/inventor/francesco-alesiani

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.2

ph-index = 2

Forward Citations = 42(Granted Patents)


Company Filing History:


Years Active: 2018-2025

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Areas of Expertise:
Machine Learning
Knowledge Management
Logical Rules
Multi-Task Learning
Continual Learning
Optimization
Motion Planning
Image Processing
Robust Control
Autonomous Systems
Data Processing
Transportation Dispatching
18 patents (USPTO):Explore Patents

Title: Francesco Alesiani: Innovator in Machine Learning

Introduction

Francesco Alesiani is a prominent inventor based in Heidelberg, Germany. He has made significant contributions to the field of machine learning, holding a total of 17 patents. His work focuses on innovative methods that enhance knowledge management in machine learning systems.

Latest Patents

One of Francesco's latest patents is titled "Machine learning knowledge management based on lifelong boosting in presence of less data." This method involves receiving a new task and a learning sample for that task. A distribution of weights is learned over the learning sample using previously learned classifiers from old tasks. Additionally, a set of task-specific classifiers is learned for the new task using a boosting algorithm and the distribution of weights over the learning sample. The distribution of weights is then updated using the task-specific classifiers for the new task.

Career Highlights

Francesco Alesiani is currently employed at NEC Corporation, where he continues to develop innovative solutions in machine learning. His expertise in lifelong learning and boosting algorithms has positioned him as a key figure in advancing the capabilities of artificial intelligence.

Collaborations

Francesco has collaborated with notable colleagues, including Ammar Shaker and Anil Goyal. Their combined efforts contribute to the ongoing research and development in the field of machine learning.

Conclusion

Francesco Alesiani's work in machine learning exemplifies the innovative spirit of modern inventors. His contributions are paving the way for advancements in knowledge management and artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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