loadpatents
name:-0.030277013778687
name:-0.021703004837036
name:-0.019330978393555
Tedaldi; David Patent Filings

Tedaldi; David

Patent Applications and Registrations

Patent applications and USPTO patent grants for Tedaldi; David.The latest application filed is for "model counterfactual scenarios of sla violations along network paths".

Company Profile
16.19.23
  • Tedaldi; David - Zurich CH
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Learning stable representations of devices for clustering-based device classification systems
Grant 11,451,456 - Tedaldi , et al. September 20, 2
2022-09-20
Compressed transmission of network data for networking machine learning systems
Grant 11,438,240 - Yelahanka Raghuprasad , et al. September 6, 2
2022-09-06
Adaptive training of machine learning models based on live performance metrics
Grant 11,438,406 - Mermoud , et al. September 6, 2
2022-09-06
Using throughput mode distribution as a proxy for quality of experience and path selection in the internet
Grant 11,425,048 - Vasseur , et al. August 23, 2
2022-08-23
Unsupervised learning of local-aware attribute relevance for device classification and clustering
Grant 11,416,522 - Mermoud , et al. August 16, 2
2022-08-16
Revisiting device classification rules upon observation of new endpoint attributes
Grant 11,399,023 - Vasseur , et al. July 26, 2
2022-07-26
Model Counterfactual Scenarios Of Sla Violations Along Network Paths
App 20220231939 - Mermoud; Gregory ;   et al.
2022-07-21
Using Throughput Mode Distribution As A Proxy For Quality Of Experience And Path Selection In The Internet
App 20220191143 - Vasseur; Jean-Philippe ;   et al.
2022-06-16
Flash classification using machine learning for device classification systems
Grant 11,349,716 - Vasseur , et al. May 31, 2
2022-05-31
Learning Robust And Accurate Rules For Device Classification From Clusters Of Devices
App 20220166675 - Tedaldi; David ;   et al.
2022-05-26
Continuous validation of active labeling for device type classification
Grant 11,297,079 - Vasseur , et al. April 5, 2
2022-04-05
Detection and resolution of rule conflicts in device classification systems
Grant 11,290,331 - Mermoud , et al. March 29, 2
2022-03-29
Protecting device classification systems from adversarial endpoints
Grant 11,283,830 - Vasseur , et al. March 22, 2
2022-03-22
Learning robust and accurate rules for device classification from clusters of devices
Grant 11,196,629 - Tedaldi , et al. December 7, 2
2021-12-07
Flash Classification Using Machine Learning For Device Classification Systems
App 20210367847 - Vasseur; Jean-Philippe ;   et al.
2021-11-25
Adaptive Training Of Machine Learning Models Based On Live Performance Metrics
App 20210344745 - Mermoud; Gregory ;   et al.
2021-11-04
Learning And Assessing Device Classification Rules
App 20210335505 - Tedaldi; David ;   et al.
2021-10-28
Detecting Spoofing In Device Classification Systems
App 20210329029 - Vasseur; Jean-Philippe ;   et al.
2021-10-21
Revisiting Device Classification Rules Upon Observation Of New Endpoint Attributes
App 20210328986 - Vasseur; Jean-Philippe ;   et al.
2021-10-21
Predicting network states for answering what-if scenario outcomes
Grant 11,146,463 - Tedaldi , et al. October 12, 2
2021-10-12
Unsupervised Learning Of Local-aware Attribute Relevance For Device Classification And Clustering
App 20210303598 - Mermoud; Gregory ;   et al.
2021-09-30
Protecting Device Classification Systems From Adversarial Endpoints
App 20210297442 - Vasseur; Jean-Philippe ;   et al.
2021-09-23
Compressed Transmission Of Network Data For Networking Machine Learning Systems
App 20210281491 - Yelahanka Raghuprasad; Mukund ;   et al.
2021-09-09
Active learning for interactive labeling of new device types based on limited feedback
Grant 11,100,364 - Mermoud , et al. August 24, 2
2021-08-24
Learning packet capture policies to enrich context for device classification systems
Grant 11,018,943 - Vasseur , et al. May 25, 2
2021-05-25
Learning when to reuse existing rules in active labeling for device classification
Grant 10,999,146 - Savalle , et al. May 4, 2
2021-05-04
Learning Robust And Accurate Rules For Device Classification From Clusters Of Devices
App 20210126833 - Tedaldi; David ;   et al.
2021-04-29
Systems and methods for application traffic simulation using captured flows
Grant 10,944,641 - Zacks , et al. March 9, 2
2021-03-09
Learning robust and accurate rules for device classification from clusters of devices
Grant 10,917,302 - Tedaldi , et al. February 9, 2
2021-02-09
Learning Robust And Accurate Rules For Device Classification From Clusters Of Devices
App 20200396129 - Tedaldi; David ;   et al.
2020-12-17
Device Type Classification Using Metric Learning In Weakly Supervised Settings
App 20200387746 - Tedaldi; David ;   et al.
2020-12-10
Predicting Network States For Answering What-if Scenario Outcomes
App 20200389371 - Tedaldi; David ;   et al.
2020-12-10
Detection And Resolution Of Rule Conflicts In Device Classification Systems
App 20200382373 - Mermoud; Gregory ;   et al.
2020-12-03
Continuous Validation Of Active Labeling For Device Type Classification
App 20200358794 - Vasseur; Jean-Philippe ;   et al.
2020-11-12
Learning Stable Representations Of Devices For Clustering-based Device Classification Systems
App 20200336397 - Tedaldi; David ;   et al.
2020-10-22
Using random forests to generate rules for causation analysis of network anomalies
Grant 10,771,313 - Tedaldi , et al. Sep
2020-09-08
Active Learning For Interactive Labeling Of New Device Types Based On Limited Feedback
App 20200160100 - Mermoud; Gregory ;   et al.
2020-05-21
Deep Learning Architecture For Collaborative Anomaly Detection And Explanation
App 20200076677 - Mermoud; Gregory ;   et al.
2020-03-05
Deep learning architecture for collaborative anomaly detection and explanation
Grant 10,574,512 - Mermoud , et al. Feb
2020-02-25
Anomaly Severity Scoring In A Network Assurance Service
App 20190372827 - Vasseur; Jean-Philippe ;   et al.
2019-12-05
Anomaly Detection With Root Cause Learning In A Network Assurance Service
App 20190356553 - Mermoud; Gregory ;   et al.
2019-11-21
Using Random Forests To Generate Rules For Causation Analysis Of Network Anomalies
App 20190238396 - Tedaldi; David ;   et al.
2019-08-01

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed