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Automatic target recognition system with online machine learning capability

Номер патента: US09940520B2
Опубликовано: 10-04-2018
Автор(ы): Bulent Ayhan, Chiman KWAN
Принадлежит: Applied Research LLC
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Data Processing System with Machine Learning Engine to Provide Roadside Assistance Functions

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Doppler radar system with machine learning applications for fall prediction and detection

Номер патента: US20220180723A1. Автор: Yuan-Ming Fleming Lure,Shuchuan Jack Cheng. Владелец: MS Technologies LLC. Дата публикации: 2022-06-09.

Method for Training Parametric Machine Learning Systems

Номер патента: US20210027169A1. Автор: Christopher Kanan,Tyler Hayes,Kushal Kafle,Robik Shrestha. Владелец: ROCHESTER INSTITUTE OF TECHNOLOGY. Дата публикации: 2021-01-28.

Machine learning approach for query resolution via a dynamic determination and allocation of expert resources

Номер патента: US20200125993A1. Автор: Joachim Ott,Marc Vontobel,Stijn Vermeeren. Владелец: Starmind AG. Дата публикации: 2020-04-23.

Machine learning system with two encoder towers for semantic matching

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Devices and methods to prevent transfer of infectious agents using a machine learning model

Номер патента: US20210402343A1. Автор: Thomas Danaher Harvey. Владелец: Individual. Дата публикации: 2021-12-30.

Simulation of electronic circuitry with machine learning augmentation

Номер патента: US20230394200A1. Автор: Neal J. Tuffy. Владелец: Skyworks Solutions Inc. Дата публикации: 2023-12-07.

Machine learning systems and methods for predicting risk of incident opioid use disorder and opioid overdose

Номер патента: WO2021257777A1. Автор: Wei Hsuan Lo Ciganic,Walid Fouad Gellad. Владелец: The United States Government as represented by the Department of Veterans Affairs. Дата публикации: 2021-12-23.

Method for building machine learning models for artificial intelligence based information technology operations

Номер патента: US20210406732A1. Автор: Amanpreet Singh,Pavan Thatha,Soma KOHLI,Ruma Mukherjee,Chiranjeev Joshi. Владелец: Unisys Corp. Дата публикации: 2021-12-30.

Systems and methods of utilizing machine learning components across multiple platforms

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Machine learning device

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Memory device with microbumps to transmit data for a machine learning operation

Номер патента: US20210173583A1. Автор: Poorna Kale. Владелец: Micron Technology Inc. Дата публикации: 2021-06-10.

System for machine learning-based acceleration of a topology optimization process

Номер патента: WO2020160099A9. Автор: Le SONG,Yuyu Zhang,Lucia MIRABELLA,Heng CHI,Tsz Ling Elaine Tang,Janani VENUGOPALAN,Glaucio PAULINO. Владелец: GEORGIA TECH RESEARCH CORPORATION. Дата публикации: 2021-08-26.

Machine learning systems and methods for document recognition and analytics

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Machine learning architecture for detecting early adopters

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Machine-learning techniques for detecting artifact pixels in images

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Schneller konvergierendes vortraining für machine learning-modelle

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Systems and methods for diversity-enhanced adaptive experimentation in a machine learning-based formulation platform

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Machine learning generated action plan

Номер патента: EP3005138A1. Автор: Richard W. Wellman,Kelly D. Phillipps. Владелец: PurePredictive Inc. Дата публикации: 2016-04-13.

Machine learning and object searching method and device

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Biased based delegation in machine learning models

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Training a machine learning model based on text and image data

Номер патента: EP4398157A1. Автор: Ozan Oktay,Javier ALVAREZ-VALLE,Maximilian Ilse,Shruthi Jaisimha Bannur,Aditya NORI,Daniel Coelho De Castro,Stephanie HYLAND,Harshita SHARMA,Qianchu LIU,PEREZ-GARCIA Fernando,Kenza BOUZID. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-07-10.

Machine learning technologies for predicting dwell time

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A Central Node and Method Therein for Enabling an Aggregated Machine Learning Model from Local Machine Learnings Models in a Wireless Communications Newtork

Номер патента: US20230058223A1. Автор: Amadeu NASCIMENTO JUNIOR,Ricardo SOUZA,Klaus RAIZER,Jean Paulo MARTINS. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2023-02-23.

Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots

Номер патента: EP3596656A1. Автор: Fares Alnajar,Henricus Meinardus Gerardus STOKMAN,Marc Jean Baptist VAN OLDENBORGH. Владелец: KEPLER VISION TECHNOLOGIES BV. Дата публикации: 2020-01-22.

Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots

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Data drift impact in a machine learning model

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A computer-implemented method for a machine learning-based software infrastructure

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Machine-learning method for automatic instance assignment under fairness and capacity constraints

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Method of transmitting process data to a machine learning application

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Implementing machine learning in a resource-constrained environment

Номер патента: EP3997570A1. Автор: Sotiris MOSCHOYIANNIS,Angelos CHRISTIDIS. Владелец: UNIVERSITY OF SURREY. Дата публикации: 2022-05-18.

Implementing machine learning in a resource-constrained environment

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Surgical recognition system

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Machine learning automated signal discovery for forecasting time series

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Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

Номер патента: GB2625937A. Автор: B Jones Richard. Владелец: Hartford Steam Boiler Inspection and Insurance Co. Дата публикации: 2024-07-03.

Technologies for using machine learning to assess contract pricing

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Embedding optimization for a machine learning model

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Machine learning research platform for automatically optimizing life sciences experiments

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Monitoring and analyzing body language with machine learning, using artificial intelligence systems for improving interaction between humans, and humans and robots

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Machine learning program, machine learning method, and machine learning apparatus

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Apparatus, methods and computer programs for calibrating machine learning systems

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Ephemeral learning of machine learning model(s)

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Federated parameter training for machine learning

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Food contamination prediction device, inference device, machine learning device, food contamination prediction method, inference method, and machine learning method

Номер патента: AU2022382158A1. Автор: Hiroshi Okamura,Satoshi Furukawa,Suguru Tanabe,Hidehiko Kunimasa. Владелец: Toyo Seikan Group Holdings Ltd. Дата публикации: 2024-03-28.

System and method for providing personal machine learning models

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Machine learning model for detecting out-of-distribution inputs

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Generating synthetic data based on time series predictions and plural machine learning models

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Sparsity-inducing federated machine learning

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Systems and methods for interacting with a multimodal machine learning model

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A computer-implemented method for generating local explanations and error estimates in machine learning models, as well as a decision support system and computer program implementing said method

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Leveraging Machine Learning Models to Identify Missing or Incorrect Labels in Training or Testing Data

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Systems and techniques for measuring model sensitivity and feature importance of machine learning models

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Disease prediction using analyte measurement features and machine learning

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Machine learning for generative geometric modelling

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Automated data integration, reconciliation, and self healing using machine learning

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System, user interface and method for interactive negative explanation of machine learning localization models in health care applications

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Machine learning device

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Apparatus, method, and computer readable storage medium for tuning break curve based on machine learning

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Apparatus, method, and computer readable storage medium for tuning break curve based on machine learning

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Machine-learning-based predictive ice detection

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Systems and methods for counterfactuals in machine learning applications

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Counterfactual samples for maintaining consistency between machine learning models

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Machine-learning techniques for predicting actions and behavior

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System and method for processing electronic medical and genetic/genomic information using machine learning and other advanced analytics techniques

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Environment-specific training of machine learning models

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Environment-specific training of machine learning models

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Methods and apparatuses for training and using a machine learning model to determine a parameter for use in a personalised collaborative learning process

Номер патента: WO2024117959A1. Автор: Konstantinos Vandikas,Selim ICKIN,Xiaoyu LAN,Hannes Larsson,Hassam Riaz. Владелец: Telefonaktiebolaget lM Ericsson (publ). Дата публикации: 2024-06-06.

Machine learning computer system architecture

Номер патента: EP4381435A1. Автор: Michael Charles Todasco,Abhishek Chhibber,Nitin S. Sharma,Darshankumar Bhadrasinh DESAI,Vidyut Mukund Naware. Владелец: PayPal Inc. Дата публикации: 2024-06-12.

Systems and methods for accelerating a disposition of digital dispute events in a machine learning-based digital threat mitigation platform

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Machine learning parallelization method using host cpu with multi-socket structure and apparatus therefor

Номер патента: US20240176759A1. Автор: Ki-Dong Kang,Myung-Hoon CHA,Hong-Yeon Kim,Baik-Song AN. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2024-05-30.

Disease prediction using analyte measurement features and machine learning

Номер патента: CA3234020A1. Автор: Qi AN,Peter C. Simpson,Jee Hye Park,Joseph J. BAKER,David A. Price,Spencer Troy Frank,Abdulrahman Jbaily,Justin Yi-Kai Lee,Charles R. Stroyeck,Kazanna C. Hames,Arunachalam PANCH SANTHANAM. Владелец: Dexcom Inc. Дата публикации: 2023-05-04.

System for machine learning-based acceleration of a topology optimization process

Номер патента: WO2020160099A1. Автор: Le SONG,Yuyu Zhang,Lucia MIRABELLA,Heng CHI,Tsz Ling Elaine Tang,Janani VENUGOPALAN,Glaucio PAULINO. Владелец: GEORGIA TECH RESEARCH CORPORATION. Дата публикации: 2020-08-06.

Machine learning based model for determining effective communication mechanism with users

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Data quality detection and compensation for machine learning

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Un-learning of training data for machine learning models

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Machine learning hyperparameter tuning

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Machine learning hyperparameter tuning

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Machine learning hyperparameter tuning

Номер патента: WO2022246378A1. Автор: Mingge Deng,Amir Hormati,Jiaxun Wu,Zichaun YE. Владелец: Google LLC. Дата публикации: 2022-11-24.

Machine learning device, inference device, machine learning method, and machine learning program

Номер патента: EP4303773A1. Автор: Hideki Takehara,Shingo Kida,Yincheng YANG. Владелец: JVCKenwood Corp. Дата публикации: 2024-01-10.

Generating synthetic images and/or training machine learning model(s) based on the synthetic images

Номер патента: US20210327127A1. Автор: Stefan Hinterstoisser,Hauke Heibel. Владелец: Google LLC. Дата публикации: 2021-10-21.

De-noising using multiple threshold-expert machine learning models

Номер патента: US12046299B2. Автор: Amit Berman,Ron Golan,Evgeny BLAICHMAN,Sergey Gendel. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-07-23.

System for providing precise position information on basis of machine learning, and provision method therefor

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Dynamic gradient deception against adversarial examples in machine learning models

Номер патента: US12050993B2. Автор: Taesung Lee,Ian Michael Molloy. Владелец: International Business Machines Corp. Дата публикации: 2024-07-30.

Machine-learning based gesture recognition using multiple sensors

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Anomaly and fraud detection with fake event detection using machine learning

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System and method for machine learning architecture for electronic field autofill

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Methods for development of a machine learning system

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System using artificial intelligence and machine learning to determine an impact of an innovation associated with an enterprise

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Computer-implementiertes Verfahren zum Erzeugen eines Machine-Learning-Modells zum Bestimmen eines Steuerparameters für ein Kraftfahrzeug

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E-commerce sales prediction and boosting using machine learning

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Machine learning systems for predictive modeling and related methods

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Time-based ensemble machine learning model

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