loadpatents
name:-0.015810012817383
name:-0.0091280937194824
name:-0.0089099407196045
Brownsword; Andrew Patent Filings

Brownsword; Andrew

Patent Applications and Registrations

Patent applications and USPTO patent grants for Brownsword; Andrew.The latest application filed is for "multi-stage feature extraction for effective ml-based anomaly detection on structured log data".

Company Profile
8.6.12
  • Brownsword; Andrew - Bowen Island CA
  • BROWNSWORD; ANDREW - Vancouver CA
*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
Malicious activity detection by cross-trace analysis and deep learning
Grant 11,451,565 - Zhou , et al. September 20, 2
2022-09-20
Multi-stage Feature Extraction For Effective Ml-based Anomaly Detection On Structured Log Data
App 20220292304 - SUZANI; AMIN ;   et al.
2022-09-15
Out of band server utilization estimation and server workload characterization for datacenter resource optimization and forecasting
Grant 11,423,327 - Kocberber , et al. August 23, 2
2022-08-23
Parsing of unstructured log data into structured data and creation of schema
Grant 11,372,868 - Reddekopp , et al. June 28, 2
2022-06-28
Coping With Feature Error Suppression: A Mechanism To Handle The Concept Drift
App 20220188410 - ALLAHDADIAN; SAEID ;   et al.
2022-06-16
Automatically Change Anomaly Detection Threshold Based On Probabilistic Distribution Of Anomaly Scores
App 20220188694 - Suzani; Amin ;   et al.
2022-06-16
Statistical Confidence Metric For Reconstructive Anomaly Detection Models
App 20220156578 - ALLAHDADIAN; SAEID ;   et al.
2022-05-19
Anomaly Detection On Sequential Log Data Using A Residual Neural Network
App 20220108181 - AHMADI; HAMED ;   et al.
2022-04-07
Context-aware feature embedding and anomaly detection of sequential log data using deep recurrent neural networks
Grant 11,218,498 - Hajimirsadeghi , et al. January 4, 2
2022-01-04
Malicious activity detection by cross-trace analysis and deep learning
Grant 11,082,438 - Peinador , et al. August 3, 2
2021-08-03
Modular Feature Extraction From Parsed Log Data
App 20200364585 - CHANDRASHEKAR; PAVAN ;   et al.
2020-11-19
Engine for reactive execution of massively concurrent heterogeneous accelerated scripted streaming analyses
Grant 10,768,982 - Brownsword , et al. Sep
2020-09-08
Parsing Of Unstructured Log Data Into Structured Data And Creation Of Schema
App 20200226214 - REDDEKOPP; ROD ;   et al.
2020-07-16
Out Of Band Server Utilization Estimation And Server Workload Characterization For Datacenter Resource Optimization And Forecast
App 20200118039 - Kocberber; Onur ;   et al.
2020-04-16
Engine For Reactive Execution Of Massively Concurrent Heterogeneous Accelerated Scripted Streaming Analyses
App 20200089529 - BROWNSWORD; ANDREW ;   et al.
2020-03-19
Malicious Activity Detection By Cross-trace Analysis And Deep Learning
App 20200076842 - ZHOU; GUANG-TONG ;   et al.
2020-03-05
Malicious Activity Detection By Cross-trace Analysis And Deep Learning
App 20200076840 - PEINADOR; JUAN FERNANDEZ ;   et al.
2020-03-05
Context-aware Feature Embedding And Anomaly Detection Of Sequential Log Data Using Deep Recurrent Neural Networks
App 20200076841 - HAJIMIRSADEGHI; HOSSEIN ;   et al.
2020-03-05

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