JP7644140B2 - 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 - Google Patents
機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 Download PDFInfo
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- JP7644140B2 JP7644140B2 JP2022557900A JP2022557900A JP7644140B2 JP 7644140 B2 JP7644140 B2 JP 7644140B2 JP 2022557900 A JP2022557900 A JP 2022557900A JP 2022557900 A JP2022557900 A JP 2022557900A JP 7644140 B2 JP7644140 B2 JP 7644140B2
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2025029274A JP2025098009A (ja) | 2020-03-23 | 2025-02-26 | 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/826,478 US11948051B2 (en) | 2020-03-23 | 2020-03-23 | System and method for ensuring that the results of machine learning models can be audited |
| US16/826,478 | 2020-03-23 | ||
| PCT/US2021/015802 WO2021194631A1 (en) | 2020-03-23 | 2021-01-29 | System and method for ensuring that the results of machine learning models can be audited |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025029274A Division JP2025098009A (ja) | 2020-03-23 | 2025-02-26 | 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2023518866A JP2023518866A (ja) | 2023-05-08 |
| JP2023518866A5 JP2023518866A5 (https=) | 2023-12-19 |
| JP7644140B2 true JP7644140B2 (ja) | 2025-03-11 |
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| JP2022557900A Active JP7644140B2 (ja) | 2020-03-23 | 2021-01-29 | 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 |
| JP2025029274A Pending JP2025098009A (ja) | 2020-03-23 | 2025-02-26 | 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 |
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| JP2025029274A Pending JP2025098009A (ja) | 2020-03-23 | 2025-02-26 | 機械学習モデルの結果を確実に監査できるようにするためのシステムおよび方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11948051B2 (https=) |
| EP (1) | EP4128086B1 (https=) |
| JP (2) | JP7644140B2 (https=) |
| CN (1) | CN115176254B (https=) |
| WO (1) | WO2021194631A1 (https=) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11948051B2 (en) * | 2020-03-23 | 2024-04-02 | Oracle International Corporation | System and method for ensuring that the results of machine learning models can be audited |
| US20240012388A1 (en) * | 2020-10-21 | 2024-01-11 | Full Speed Automation, Inc. | System and apparatus for optimizing the energy consumption of manufacturing equipment |
| US20220156574A1 (en) * | 2020-11-19 | 2022-05-19 | Kabushiki Kaisha Toshiba | Methods and systems for remote training of a machine learning model |
| US20220261689A1 (en) * | 2021-02-12 | 2022-08-18 | Oracle International Corporation | Off-duty-cycle-robust machine learning for anomaly detection in assets with random down times |
| CN113778284B (zh) * | 2021-09-24 | 2024-06-04 | 北京字跳网络技术有限公司 | 审核信息显示方法、装置、设备和存储介质 |
| US20230214555A1 (en) * | 2021-12-30 | 2023-07-06 | PassiveLogic, Inc. | Simulation Training |
| CN116738143B (zh) * | 2023-05-05 | 2026-02-10 | 北京云星宇交通科技股份有限公司 | 一种用于桥梁健康监测系统的智能监测采集站 |
| CN116494816B (zh) * | 2023-06-30 | 2023-09-15 | 江西驴宝宝通卡科技有限公司 | 充电桩的充电管理系统及其方法 |
| TWI860054B (zh) * | 2023-08-22 | 2024-10-21 | 國立清華大學 | 訓練機器學習模型的方法、裝置和電腦程式產品 |
| US12519838B2 (en) | 2024-05-13 | 2026-01-06 | Florida Power & Light Company | Substantiating a compliance standard with secondary evidence |
| CN121098201B (zh) * | 2025-11-07 | 2026-03-27 | 中国科学院宁波材料技术与工程研究所 | 一种基于条件流匹配的电机控制参数数据生成方法 |
| CN121256649B (zh) * | 2025-12-03 | 2026-02-27 | 清华大学深圳国际研究生院 | 一种时间序列异常检测方法、电子设备及介质 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190197145A1 (en) | 2017-12-21 | 2019-06-27 | Oracle International Corporation | Mset-based process for certifying provenance of time-series data in a time-series database |
| US20190286725A1 (en) | 2018-03-19 | 2019-09-19 | Oracle International Corporation | Intelligent preprocessing of multi-dimensional time-series data |
Family Cites Families (52)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05161265A (ja) * | 1991-11-28 | 1993-06-25 | Toshiba Corp | 電力系統監視装置 |
| US7020802B2 (en) | 2002-10-17 | 2006-03-28 | Sun Microsystems, Inc. | Method and apparatus for monitoring and recording computer system performance parameters |
| US7702485B2 (en) | 2006-12-06 | 2010-04-20 | Oracle America, Inc. | Method and apparatus for predicting remaining useful life for a computer system |
| US7613580B2 (en) | 2007-04-12 | 2009-11-03 | Sun Microsystems, Inc. | Method and apparatus for generating an EMI fingerprint for a computer system |
| US7613576B2 (en) | 2007-04-12 | 2009-11-03 | Sun Microsystems, Inc. | Using EMI signals to facilitate proactive fault monitoring in computer systems |
| US7680624B2 (en) | 2007-04-16 | 2010-03-16 | Sun Microsystems, Inc. | Method and apparatus for performing a real-time root-cause analysis by analyzing degrading telemetry signals |
| US8069490B2 (en) | 2007-10-16 | 2011-11-29 | Oracle America, Inc. | Detecting counterfeit electronic components using EMI telemetric fingerprints |
| US8055594B2 (en) | 2007-11-13 | 2011-11-08 | Oracle America, Inc. | Proactive detection of metal whiskers in computer systems |
| US8200991B2 (en) | 2008-05-09 | 2012-06-12 | Oracle America, Inc. | Generating a PWM load profile for a computer system |
| US8457913B2 (en) | 2008-06-04 | 2013-06-04 | Oracle America, Inc. | Computer system with integrated electromagnetic-interference detectors |
| US20100023282A1 (en) | 2008-07-22 | 2010-01-28 | Sun Microsystem, Inc. | Characterizing a computer system using radiating electromagnetic signals monitored through an interface |
| US7869977B2 (en) | 2008-08-08 | 2011-01-11 | Oracle America, Inc. | Using multiple antennas to characterize a computer system based on electromagnetic signals |
| US9152530B2 (en) * | 2009-05-14 | 2015-10-06 | Oracle America, Inc. | Telemetry data analysis using multivariate sequential probability ratio test |
| US8275738B2 (en) | 2009-05-27 | 2012-09-25 | Oracle America, Inc. | Radio frequency microscope for amplifying and analyzing electromagnetic signals by positioning the monitored system at a locus of an ellipsoidal surface |
| US8543346B2 (en) | 2009-05-29 | 2013-09-24 | Oracle America, Inc. | Near-isotropic antenna for monitoring electromagnetic signals |
| US10475754B2 (en) | 2011-03-02 | 2019-11-12 | Nokomis, Inc. | System and method for physically detecting counterfeit electronics |
| EP2790604B1 (en) | 2011-12-13 | 2022-10-19 | Koninklijke Philips N.V. | Distortion fingerprinting for electromagnetic tracking compensation, detection and error correction |
| US8548497B2 (en) | 2011-12-16 | 2013-10-01 | Microsoft Corporation | Indoor localization using commercial frequency-modulated signals |
| US9851386B2 (en) | 2012-03-02 | 2017-12-26 | Nokomis, Inc. | Method and apparatus for detection and identification of counterfeit and substandard electronics |
| US9305073B1 (en) | 2012-05-24 | 2016-04-05 | Luminix, Inc. | Systems and methods for facilitation communications among customer relationship management users |
| JP5530020B1 (ja) | 2013-11-01 | 2014-06-25 | 株式会社日立パワーソリューションズ | 異常診断システム及び異常診断方法 |
| US10395032B2 (en) | 2014-10-03 | 2019-08-27 | Nokomis, Inc. | Detection of malicious software, firmware, IP cores and circuitry via unintended emissions |
| US9594147B2 (en) | 2014-10-03 | 2017-03-14 | Apple Inc. | Wireless electronic device with calibrated reflectometer |
| JP7064333B2 (ja) * | 2015-03-23 | 2022-05-10 | オラクル・インターナショナル・コーポレイション | 知識集約型データ処理システム |
| US10116675B2 (en) | 2015-12-08 | 2018-10-30 | Vmware, Inc. | Methods and systems to detect anomalies in computer system behavior based on log-file sampling |
| US10331802B2 (en) * | 2016-02-29 | 2019-06-25 | Oracle International Corporation | System for detecting and characterizing seasons |
| US10859609B2 (en) | 2016-07-06 | 2020-12-08 | Power Fingerprinting Inc. | Methods and apparatuses for characteristic management with side-channel signature analysis |
| US10234492B2 (en) | 2016-08-31 | 2019-03-19 | Ca, Inc. | Data center monitoring based on electromagnetic wave detection |
| JP6715740B2 (ja) | 2016-10-13 | 2020-07-01 | 株式会社日立製作所 | 電力系統の潮流監視装置、電力系統安定化装置および電力系統の潮流監視方法 |
| WO2018101363A1 (ja) * | 2016-11-30 | 2018-06-07 | 日本電気株式会社 | 状態推定装置と方法とプログラム |
| US11429885B1 (en) * | 2016-12-21 | 2022-08-30 | Cerner Innovation | Computer-decision support for predicting and managing non-adherence to treatment |
| US10896064B2 (en) | 2017-03-27 | 2021-01-19 | International Business Machines Corporation | Coordinated, topology-aware CPU-GPU-memory scheduling for containerized workloads |
| CN107181543B (zh) | 2017-05-23 | 2020-10-27 | 张一嘉 | 一种基于传播模型和位置指纹的三维室内无源定位方法 |
| US10817803B2 (en) | 2017-06-02 | 2020-10-27 | Oracle International Corporation | Data driven methods and systems for what if analysis |
| US20190102718A1 (en) | 2017-09-29 | 2019-04-04 | Oracle International Corporation | Techniques for automated signal and anomaly detection |
| US10452510B2 (en) | 2017-10-25 | 2019-10-22 | Oracle International Corporation | Hybrid clustering-partitioning techniques that optimizes accuracy and compute cost for prognostic surveillance of sensor data |
| US10606919B2 (en) | 2017-11-29 | 2020-03-31 | Oracle International Corporation | Bivariate optimization technique for tuning SPRT parameters to facilitate prognostic surveillance of sensor data from power plants |
| JP2019117428A (ja) * | 2017-12-26 | 2019-07-18 | 株式会社クボタ | 管理サーバ、監視端末、管理サーバの制御方法、および制御プログラム |
| US10977110B2 (en) | 2017-12-27 | 2021-04-13 | Palo Alto Research Center Incorporated | System and method for facilitating prediction data for device based on synthetic data with uncertainties |
| US11392850B2 (en) | 2018-02-02 | 2022-07-19 | Oracle International Corporation | Synthesizing high-fidelity time-series sensor signals to facilitate machine-learning innovations |
| US10496084B2 (en) | 2018-04-06 | 2019-12-03 | Oracle International Corporation | Dequantizing low-resolution IoT signals to produce high-accuracy prognostic indicators |
| JP7021010B2 (ja) * | 2018-06-06 | 2022-02-16 | 株式会社Nttドコモ | 機械学習システム |
| US11775873B2 (en) | 2018-06-11 | 2023-10-03 | Oracle International Corporation | Missing value imputation technique to facilitate prognostic analysis of time-series sensor data |
| US11188691B2 (en) | 2018-12-21 | 2021-11-30 | Utopus Insights, Inc. | Scalable system and method for forecasting wind turbine failure using SCADA alarm and event logs |
| US11409992B2 (en) | 2019-06-10 | 2022-08-09 | International Business Machines Corporation | Data slicing for machine learning performance testing and improvement |
| US11055396B2 (en) | 2019-07-09 | 2021-07-06 | Oracle International Corporation | Detecting unwanted components in a critical asset based on EMI fingerprints generated with a sinusoidal load |
| US20210081573A1 (en) | 2019-09-16 | 2021-03-18 | Oracle International Corporation | Merged surface fast scan technique for generating a reference emi fingerprint to detect unwanted components in electronic systems |
| US11797882B2 (en) | 2019-11-21 | 2023-10-24 | Oracle International Corporation | Prognostic-surveillance technique that dynamically adapts to evolving characteristics of a monitored asset |
| US11367018B2 (en) | 2019-12-04 | 2022-06-21 | Oracle International Corporation | Autonomous cloud-node scoping framework for big-data machine learning use cases |
| CN110941020B (zh) | 2019-12-16 | 2022-06-10 | 杭州安恒信息技术股份有限公司 | 基于电磁泄漏的盗摄器材的检测方法及装置 |
| US11255894B2 (en) | 2020-02-28 | 2022-02-22 | Oracle International Corporation | High sensitivity detection and identification of counterfeit components in utility power systems via EMI frequency kiviat tubes |
| US11948051B2 (en) * | 2020-03-23 | 2024-04-02 | Oracle International Corporation | System and method for ensuring that the results of machine learning models can be audited |
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2020
- 2020-03-23 US US16/826,478 patent/US11948051B2/en active Active
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2021
- 2021-01-29 WO PCT/US2021/015802 patent/WO2021194631A1/en not_active Ceased
- 2021-01-29 CN CN202180015990.4A patent/CN115176254B/zh active Active
- 2021-01-29 JP JP2022557900A patent/JP7644140B2/ja active Active
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2024
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2025
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190197145A1 (en) | 2017-12-21 | 2019-06-27 | Oracle International Corporation | Mset-based process for certifying provenance of time-series data in a time-series database |
| US20190286725A1 (en) | 2018-03-19 | 2019-09-19 | Oracle International Corporation | Intelligent preprocessing of multi-dimensional time-series data |
Also Published As
| Publication number | Publication date |
|---|---|
| US20240265308A1 (en) | 2024-08-08 |
| EP4128086B1 (en) | 2025-12-24 |
| US12367423B2 (en) | 2025-07-22 |
| JP2025098009A (ja) | 2025-07-01 |
| US11948051B2 (en) | 2024-04-02 |
| WO2021194631A1 (en) | 2021-09-30 |
| JP2023518866A (ja) | 2023-05-08 |
| EP4128086A1 (en) | 2023-02-08 |
| US20210295210A1 (en) | 2021-09-23 |
| CN115176254B (zh) | 2026-04-17 |
| CN115176254A (zh) | 2022-10-11 |
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