Image enhancement via iterative refinement based on machine learning models.

Image enhancement via iterative refinement based on machine learning models

Номер патента: US11756166B2
Опубликовано: 12-09-2023
Автор(ы): Chitwan Saharia, David Fleet, Jonathan Ho, Mohammad Norouzi, Tim Salimans, William Chan
Принадлежит: Google LLC
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Image enhancement via iterative refinement based on machine learning models

Номер патента: US11769228B2. Автор: William Chan,Mohammad Norouzi,David Fleet,Chitwan Saharia,Jonathan Ho,Tim Salimans. Владелец: Google LLC. Дата публикации: 2023-09-26.

Image Enhancement via Iterative Refinement based on Machine Learning Models

Номер патента: US20230385990A1. Автор: William Chan,Mohammad Norouzi,David Fleet,Chitwan Saharia,Jonathan Ho,Tim Salimans. Владелец: Google LLC. Дата публикации: 2023-11-30.

Image Enhancement via Iterative Refinement based on Machine Learning Models

Номер патента: US20230153959A1. Автор: William Chan,Mohammad Norouzi,David Fleet,Chitwan Saharia,Jonathan Ho,Tim Salimans. Владелец: Google LLC. Дата публикации: 2023-05-18.

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Systems and methods for training and leveraging a multi-headed machine learning model for predictive actions in a complex prediction domain

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Training a machine learning model using noisily labeled data

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Method, apparatus, and system for providing a location-aware evaluation of a machine learning model

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Generating clinical summaries using machine learning

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Graph machine learning model based techniques for evaluating knowledge graph datasets

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System and a method of training a machine-learning models for search results ranking

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Method for training a machine learning model for determining the coefficients of a partial differential equation of a known operator-defined family of partial differential equations

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Systems and methods for secure authentication based on machine learning techniques

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Implementing machine learning in a resource-constrained environment

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Implementing machine learning in a resource-constrained environment

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

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Tuning implementation of machine learning model for resource-constrained device

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Systems and methods for training and leveraging a multi-headed machine learning model for predictive actions in a complex prediction domain

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Context enabled machine learning

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Drug indication and response prediction systems and method using ai deep learning based on convergence of different category data

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Automated knowledge infusion for robust and transferable machine learning

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Building an explainable machine learning model

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Method and system for semi-supervised deep anomaly detection for large-scale industrial monitoring systems based on time-series data utilizing digital twin simulation data

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Methods and systems for fast inference from machine learning models

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Self-adapting forecasting for multi-horizon forecasting machine learning models

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System, method, and computer program product for time-based ensemble learning using supervised and unsupervised machine learning models

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Techniques to predict compatibility, applicability, and generalization performance of a machine-learning model at run time

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Training machine learning models for contrastive multi-format shape similarity and search

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Machine learning model processing based on perplexity

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Automated, Constraints-Dependent Machine Learning Model Thresholding Mechanisms

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Training machine learning models for contrastive multi-format shape similarity and search

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Shared network learning for machine learning enabled text classification

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Machine learning models for sentiment prediction and remedial action recommendation

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Providing training data for a machine learning model for monitoring a person based on video data

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Providing training data for a machine learning model for monitoring a person based on video data

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Machine Learning Model Based Embedding for Adaptable Content Evaluation

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First-to-saturate single modal latent feature activation for explanation of machine learning models

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Computer-based systems having data structures configured for machine learning classification of entities and methods of use thereof

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Hierarchical based sequencing machine learning model

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Computer-readable recording medium storing machine learning program, information processing device, and machine learning method

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Machine learning models for patent valuation

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Mixed-precision quantization in machine learning using model sensitivity and constrained optimization

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Determining whether a given input record of measurement data is covered by the training of a trained machine learning model

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Training of a machine learning model for use in medical imaging applications based on combinations of incomplete sample sets and sample images simulated therefrom

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Device and method for compressing machine learning model

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Methods, systems and computer programs for processing images of an optical imaging device and for training one or more machine-learning models

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Predictive assignments that relate to genetic information and leverage machine learning models

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Methods and systems for predicting prescription directions using machine learning algorithm

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Device localization based on a learning model

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Source selection based on diversity for machine learning

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User equipment, base station, and wireless communication methods based on machine learning/artificial intelligence

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Using machine learning and/or neural networks to validate stem cells and their derivatives for use in cell therapy, drug discovery, and diagnostics

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

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Systems and methods for determining road object importance based on forward facing and driver facing video data

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Systems and methods for image generation with machine learning models

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Airport information updates based on machine-learning models

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Airport information updates based on machine-learning models

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Using machine learning and/or neural networks to validate stem cells and their derivatives (2-D cells and 3-D tissues) for use in cell therapy and tissue engineered products

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System and Method for Preventing Attacks on a Machine Learning Model Based on an Internal Sate of the Model

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Captured document image enhancement

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Separating documents based on machine learning models

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Simulating progression of skin conditions based on machine learning

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Storage medium, machine learning method, and machine learning device

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Real time output control in hardware based on machine learning

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Real time output control in hardware based on machine learning

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Real time output control based on machine learning hardware implementation

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Real time output control in hardware based on machine learning

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Deploying simplified machine learning models to resource-constrained edge devices

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Machine learning with an intelligent continuous learning service in a big data environment

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Systems and methods for machine learning model training and deployment

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System and method for detecting an out-of-distribution data sample based on uncertainty adversarial training

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Machine learning model feature selection in a communication network

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Transfer learning method for a machine learning system

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IANM-Data Analysis:INTELLIGENTDATA ANALYSIS (Academic, Non- Academic) USING MACHINE LEARNING PROGRAMMING

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Embedding optimization for a machine learning model

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Natural language analysis of a command line using a machine learning model to generate a natural language description of the command line

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

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

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

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Federated machine learning in adaptive training systems

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Federated machine learning in adaptive training systems

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Semi-supervised machine learning model framework for unlabeled learning

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

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Preservation of causal information for machine learning

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Techniques for securing network environments by identifying device attributes based on string field conventions

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Software model testing for machine learning models

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Mixed client-server federated learning of machine learning model(s)

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Mixed client-server federated learning of machine learning model(s)

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Multilingual natural language understanding (NLU) model platform for updating a software's understanding ability in one language based on NLU changes in another language

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Robust operating room video anonymization based on ensemble deep learning

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Computer-implemented method for generating a trained machine learning model

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Transfer learning with machine learning systems

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System and method for ensuring that the results of machine learning models can be audited

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Classification of a non-monetary donation based on machine learning

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Stateful training of machine learning models in wireless networking

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Utilizing models to generate identifiers that identify and provide authentication for machine learning models

Номер патента: US20200311248A1. Автор: Anurag Dwarakanath,Sanjay PODDER,Vikrant S. Kaulgud,Adam Patten BURDEN. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2020-10-01.

Method and Apparatus for Selecting Machine Learning Model for Execution in a Resource Constraint Environment

Номер патента: US20240232705A9. Автор: Andreas Johnsson,Rerngvit Yanggratoke. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2024-07-11.

Visual testing based on machine learning and automated workflow

Номер патента: US12035004B2. Автор: Andrew Fakhry. Владелец: DISH Network LLC. Дата публикации: 2024-07-09.

Local-ancestry inference with machine learning model

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Method of supporting dynamic splitting execution of machine learning model in communication system

Номер патента: US20240202592A1. Автор: Tae Chul Hong. Владелец: Electronics and Telecommunications Research Institute ETRI. Дата публикации: 2024-06-20.

Schedule management for machine learning model-based processing in computing environment

Номер патента: US20230273813A1. Автор: Victor Fong,Kenneth Durazzo. Владелец: Dell Products LP. Дата публикации: 2023-08-31.

Systems and methods for machine learning transferability

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Remaining useful life estimation using hybrid physics-machine learning reasoning

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Stateful training of machine learning models in wireless networking

Номер патента: WO2024183998A1. Автор: Jian Song,Afef Feki,Istvan Zsolt Kovacs,Ahmad Masri. Владелец: NOKIA TECHNOLOGIES OY. Дата публикации: 2024-09-12.

Selective and flexible compression of data associated with a machine learning model

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Systems and methods for matrix operation selector based on machine learning

Номер патента: EP4328804A1. Автор: Joseph H. Hassoun,Hsin-Hsuan SUNG,David THORSLEY. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-02-28.

Distributed execution of a machine-learning model on a server cluster

Номер патента: WO2023244227A1. Автор: Harishkumar Sundarji Majithiya,Sugandh SACHDEV. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2023-12-21.

System and method of self-learning from an automatic query response generator using machine learning model

Номер патента: WO2022195631A1. Автор: Prashant IYENGAR,Hardik Godara. Владелец: Rn Chidakashi Technologies Pvt Ltd. Дата публикации: 2022-09-22.

Systems and methods for low-light image enhancement

Номер патента: US20240212104A1. Автор: Lina GUREVICH. Владелец: Stryker Corp. Дата публикации: 2024-06-27.

Machine learning model based triggering mechanism for image enhancement

Номер патента: WO2024076611A1. Автор: Peyman Milanfar,Sungjoon Choi,Mauricio DELBRACIO,Hossein TALEBI. Владелец: Google LLC. Дата публикации: 2024-04-11.

Systems and methods for low-light image enhancement

Номер патента: WO2024137308A1. Автор: Lina GUREVICH. Владелец: STRYKER CORPORATION. Дата публикации: 2024-06-27.

Computer-readable recording medium storing machine learning program, machine learning apparatus, and machine learning method

Номер патента: US20240296660A1. Автор: Yoshihiro Okawa. Владелец: Fujitsu Ltd. Дата публикации: 2024-09-05.

Image enhancement using generative machine learning

Номер патента: EP4369284A1. Автор: Wilhelmus Andreas Marinus Arnoldus Maria Van Den Dungen. Владелец: Koninklijke Philips NV. Дата публикации: 2024-05-15.

Image enhancement using generative machine learning

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Distinguishing colon cancer stages based on computationally derived morphological features of cancer nuclei

Номер патента: US12014488B2. Автор: Anant Madabhushi,Neeraj Kumar,Joseph E. Willis. Владелец: United States Government Represente AS. Дата публикации: 2024-06-18.

Optimizing Generative Machine-Learned Models for Subject-Driven Text-to-3D Generation

Номер патента: US20240320912A1. Автор: Michael Rubinstein,Srinivas Kaza,Michael Niemeyer,Amit Raj,Jonathan Tilton Barron,Kfir ABERMAN,Benjamin Joseph MILDENHALL,Varun Jampani,Yuanzhen Li,Benjamin Michael POOLE,Nataniel RUIZ GUTIERREZ,Shiran Elyahu Zada. Владелец: Google LLC. Дата публикации: 2024-09-26.

Optimizing generative machine-learned models for subject-driven text-to-3d generation

Номер патента: WO2024197138A1. Автор: Michael Rubinstein,Srinivas Kaza,Michael Niemeyer,Amit Raj,Jonathan Tilton Barron,Kfir ABERMAN,Benjamin Joseph MILDENHALL,Varun Jampani,Yuanzhen Li,Benjamin Michael POOLE,Nataniel RUIZ GUTIERREZ,Shiran Elyahu Zada. Владелец: Google LLC. Дата публикации: 2024-09-26.

Machine learning for medical image reconstruction with phase correction

Номер патента: US20230298162A1. Автор: Marcel Dominik Nickel,Mariappan S. Nadar,Simon Arberet,Thomas Benkert. Владелец: Siemens Healthcare GmbH. Дата публикации: 2023-09-21.

Anomaly detection for component using pose-dependent machine learning models

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Supplying hmi snapshots from industrial automation environments as input to machine learning models

Номер патента: US20230099239A1. Автор: Jordan C. Reynolds,John J. Hagerbaumer,Troy W. Mahr,Thomas K. Jacobsen,Giancarlo Scaturchio,Jeffrey S. Sperling. Владелец: Rockwell Automation Technologies Inc. Дата публикации: 2023-03-30.

Machine learning for pose estimation of robotic systems

Номер патента: US20240221335A1. Автор: Stefan Hinterstoisser,Olivier Pauly,Hauke Heibel,Martina Marek,Martin Bokeloh. Владелец: Intrinsic Innovation LLC. Дата публикации: 2024-07-04.

Supplying HMI snapshots from industrial automation environments as input to machine learning models

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Machine-learning techniques for sparse-to-dense spectral reconstruction

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Image enhancement method and widefield fluorescence imaging system

Номер патента: EP4432216A1. Автор: Tao Huang,Bingxian LIU,Yanhui WANG,Juyan Xie,Kehui WANG. Владелец: Konfoong Biotech International Co Ltd. Дата публикации: 2024-09-18.

Hyperspectral image analysis using machine learning

Номер патента: US20240290091A1. Автор: Francis George Doumet,Migel Dileepa Tissera,Parisa Asgharzadeh,Ahmed Sigiuk. Владелец: Mlvx Technologies Inc. Дата публикации: 2024-08-29.

User-Specific Content Generation Using Text-To-Image Machine-Learned Models

Номер патента: US20240330381A1. Автор: Arash SADR. Владелец: Google LLC. Дата публикации: 2024-10-03.

Hyperspectral image analysis using machine learning

Номер патента: WO2024178488A1. Автор: Francis George Doumet,Migel Dileepa Tissera,Parisa Asgharzadeh,Ahmed Sigiuk. Владелец: Mlvx Technologies Inc.. Дата публикации: 2024-09-06.

User-specific content generation using text-to-image machine-learned models

Номер патента: WO2024206887A1. Автор: Arash SADR. Владелец: Google LLC. Дата публикации: 2024-10-03.

Distribution-based machine learning

Номер патента: WO2023201266A1. Автор: Yangli Hector Yee,Jung Ook Hong,Julia Black Ling,Cory Drew Schillaci,Pedro Montebello Milani,Rajesh Machhindranath Jadhav. Владелец: X Development LLC. Дата публикации: 2023-10-19.

Techniques for training a machine learning model to reconstruct different three-dimensional scenes

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3d modeling based on neural light field

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Method for x-ray dental image enhancement

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3d modeling based on neural light field

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Methods and systems for reducing quantitative magnetic resonance imaging heterogeneity for machine learning based clinical decision systems

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Iterative graph-based image enhancement using object separation

Номер патента: WO2023102189A3. Автор: Guan-Ming Su,Harshad KADU,Zachary McBride LAZRI. Владелец: DOLBY LABORATORIES LICENSING CORPORATION. Дата публикации: 2023-07-27.

Machine learning model, program, ultrasound diagnostic apparatus, image diagnostic system, image diagnostic apparatus, and training apparatus

Номер патента: US20240307025A1. Автор: Hiroaki Matsumoto,Yoshihiro Takeda. Владелец: KONICA MINOLTA INC. Дата публикации: 2024-09-19.

Iterative graph-based image enhancement using object separation

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Generalizable key-value set extraction from documents using machine learning models

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Generalizable key-value set extraction from documents using machine learning models

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Generalizable key-value set extraction from documents using machine learning models

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Generalizable key-value set extraction from documents using machine learning models

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Generalizable key-value set extraction from documents using machine learning models

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Machine learning model for recommending interaction parties

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Machine learning systems and methods for multiscale alzheimer's dementia recognition through spontaneous speech

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Machine learning systems and methods for multiscale alzheimer's dementia recognition through spontaneous speech

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Machine learning systems and methods for multiscale alzheimer's dementia recognition through spontaneous speech

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Using Machine Learning to Mitigate Electronic Attacks

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Hotspot Detection Based On Litho-Aware Machine Learning

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Multimedia service flow acceleration system based on SDN and machine learning

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A kind of multi-speech recognition method based on coding and machine learning

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Identification of idle network connections based on machine learning

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Failure prediction in a computing system based on machine learning applied to alert data

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Failure prediction in a computing system based on machine learning applied to alert data

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Tailoring a multi-channel help desk environment based on machine learning models

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Real-time predictions based on machine learning models

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Method and apparatus with adverse drug reaction detection based on machine learning

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Transmitting proactive notifications based on machine learning model predictions

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Predicting the impact of network software upgrades on machine learning model performance

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Predicting the impact of network software upgrades on machine learning model performance

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Topic-based semantic search of electronic documents based on machine learning models from bayesian belief networks

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Topic-based semantic search of electronic documents based on machine learning models from bayesian belief networks

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Code suggestion based on machine learning

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Using machine learning to classify insurance card information

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Using machine learning to classify insurance card information

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Automatically Building Efficient Machine Learning Model Training Environments

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Dynamic machine learning on premise model selection based on entity clustering and feedback

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Method and apparatus for processing approximate query based on machine learning model

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Systems and methods for machine learning model management

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System and method for machine learning modeling and estimation of loss

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Method and system for data transformation based on machine learning

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Method and system for ranking digital objects based on target characteristic related to them

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Machine-learned movement determination based on intent identification

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Golf club fitting based on machine learning

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Techniques for evaluating an effect of changes to machine learning models

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Machine-learned movement determination based on intent identification

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Utilizing machine learning models to determine customer care actions for telecommunications network providers

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Apparatus, method, and computer program product for configuration, association, registration, training, and monitoring of machine learning models for operational systems

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Computer-based systems for dynamic persona-based access to computer network resources based on machine learning techniques and methods of use thereof

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Meta-learning and auto-labeling for machine learning

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Providing a secure and collaborative feedback mechanism for machine learning models

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Automatically determining a root-cause indicator of a technical system concerning an output of a machine learning model

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Method and apparatus for training machine learning models, computer device, and storage medium

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Generating synthetic datapoints from observed datapoints for training machine learning models

Номер патента: US12069079B1. Автор: Roy Donald Hodgman,Vasudha Shivamoggi,Jocelyn Beauchesne,John Lim Oh. Владелец: Rapid7 Inc. Дата публикации: 2024-08-20.

Machine learning ensemble for processing divergent input domains for automated scheduling systems

Номер патента: US20240242184A1. Автор: Andrew Vaughan,Julia H. Williams,Luis Enrique Castro,Ash Phllips Griffin. Владелец: Intuit Inc. Дата публикации: 2024-07-18.

Machine learning model development and optimization process that ensures performance validation and data sufficiency for regulatory approval

Номер патента: US20230229972A1. Автор: Marc T. Edgar. Владелец: GE Precision Healthcare LLC. Дата публикации: 2023-07-20.

Machine Learning Model Deployment in Inference System

Номер патента: US20240320543A1. Автор: Bo Song,Jun Wang,Xiao Ming Ma,Dong Hai Yu,Jiang Bo Kang,Yao Dong Liu. Владелец: International Business Machines Corp. Дата публикации: 2024-09-26.

Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

Номер патента: EP4352665A1. Автор: Michael LEBACHER. Владелец: SIEMENS AG. Дата публикации: 2024-04-17.

Computer-implemented method for providing explanations concerning a global behaviour of a machine learning model

Номер патента: WO2023006705A1. Автор: Michael LEBACHER. Владелец: SIEMENS AKTIENGESELLSCHAFT. Дата публикации: 2023-02-02.

Computer-implemented method for generating a combined machine learning model

Номер патента: US20240296383A1. Автор: Andreas Hangauer,Michael LEBACHER,Cecilia Margareta Bruhn. Владелец: SIEMENS AG. Дата публикации: 2024-09-05.

A machine learning-based framework using electroretinography for detecting early-stage glaucoma

Номер патента: EP4447806A2. Автор: Peter Koulen,Amirfarhang MEHDIZADEH,Mohan Kumar GAJENDRAN. Владелец: Individual. Дата публикации: 2024-10-23.

Fleet and asset management for edge computing of machine learning and artificial intelligence workloads deployed from cloud to edge

Номер патента: US12131242B1. Автор: Pradeep Nair,Janardhan Prabhakara,Pragyana K Mishra,Anish Swaminathan. Владелец: Armada Systems Inc. Дата публикации: 2024-10-29.

Providing application programming interface endpoints for machine learning models

Номер патента: US12045678B2. Автор: David Lisuk,Simon Slowik. Владелец: Palantir Technologies Inc. Дата публикации: 2024-07-23.

Transmitting notifications based on machine learning model outputs

Номер патента: US20230306432A1. Автор: Lee ADCOCK,Vamsi Kavuri,Mehulkumar Jayantilal Garnara. Владелец: Capital One Services LLC. Дата публикации: 2023-09-28.

Energy-efficient capacitance extraction method based on machine learning

Номер патента: US20230334379A1. Автор: YU Qian,Cheng Zhuo,Yuan Xu,Xunzhao YIN,Chenyi Wen. Владелец: Zhejiang University ZJU. Дата публикации: 2023-10-19.

Disease prediction using analyte measurement features and machine learning

Номер патента: AU2022379460A1. 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: 2024-05-23.

Confidence volumes for earth modeling using machine learning

Номер патента: CA3196058A1. Автор: Orlando De Jesus,Barry F. ZHANG,Tuna Altay Sansal,Edward Tian. Владелец: Quantico Energy Solutions LLC. Дата публикации: 2022-05-05.

Deploying a machine learning model

Номер патента: EP4363968A1. Автор: Lukasz Cmielowski,Amadeusz Masny,Daniel RYSZKA,Wojciech JARGIEŁO. Владелец: International Business Machines Corp. Дата публикации: 2024-05-08.

Active surveillance and learning for machine learning model authoring and deployment

Номер патента: EP3789929A1. Автор: Gopal B. Avinash,Junpyo Hong,Venkata Ratnam Saripalli,Karley Marty Yoder,Keith Bigelow. Владелец: GE Precision Healthcare LLC. Дата публикации: 2021-03-10.

Cloud based machine learning model attack guard

Номер патента: US12050669B2. Автор: Hari Bhaskar Sankaranarayanan,Jean-Rene Gauthier,Dwijen Bhattacharjee. Владелец: Oracle International Corp. Дата публикации: 2024-07-30.

Determining optimal machine learning models

Номер патента: US20210406346A1. Автор: Yu Fu,Xianhong Zhang,WenTsong Shiue. Владелец: Bank of America Corp. Дата публикации: 2021-12-30.

Machine learning training based on dual loss functions

Номер патента: CA3206485A1. Автор: Francis Grady. Владелец: Schlumberger Canada Ltd. Дата публикации: 2022-07-07.

Learning model generation support apparatus, learning model generation support method, and computer-readable recording medium

Номер патента: US12066417B2. Автор: Riki ETO. Владелец: NEC Corp. Дата публикации: 2024-08-20.

System and method for monitoring machine learning models

Номер патента: US11531930B2. Автор: Leandro Axel Guelman. Владелец: ROYAL BANK OF CANADA. Дата публикации: 2022-12-20.

Analysis-data analyzing device and analysis-data analyzing method that calculates or updates a degree of usefulness of each dimension of an input in a machine-learning model

Номер патента: US11341404B2. Автор: Akira Noda. Владелец: Shimadzu Corp. Дата публикации: 2022-05-24.

Disease prediction using analyte measurement features and machine learning

Номер патента: EP4422490A1. 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: 2024-09-04.

Machine learning system for detecting anomalies in hunt data

Номер патента: US12088600B1. Автор: Roy Donald Hodgman,Vasudha Shivamoggi,Jocelyn Beauchesne,John Lim Oh. Владелец: Rapid7 Inc. Дата публикации: 2024-09-10.

Machine learning modeling to predict heuristic parameters for radiation therapy treatment planning

Номер патента: EP4405976A1. Автор: Esa KUUSELA,Mikko Hakala,Elena CZEIZLER,Shahab BASIRI. Владелец: Siemens Healthineers International AG. Дата публикации: 2024-07-31.

Enhanced precision machine learning prediction

Номер патента: US12106189B2. Автор: Dongjin Lee,Dongyun Jin,Rezwana Karim,Rishikesh Sanjay Ghewari. Владелец: SAMSUNG ELECTRONICS CO LTD. Дата публикации: 2024-10-01.

Machine learning to enhance satellite terminal performance

Номер патента: US12107742B2. Автор: Amit Arora,Sonia Thakur,Namrata Walanj,Kartik SESHADRI,Sairaj Amberkar. Владелец: HUGHES NETWORK SYSTEMS LLC. Дата публикации: 2024-10-01.

Machine-learning based gesture recognition using multiple sensors

Номер патента: US12118443B2. Автор: Charles MAALOUF,Christopher B. Fleizach,Behrooz Shahsavari,Hojjat Seyed Mousavi,Michael J. Beyhs,Shawn R. Scully,Tu K. NGUYEN,Lilian H. LIANG,Warren J. SETO,Julian QUINTANA. Владелец: Apple Inc. Дата публикации: 2024-10-15.

Machine-learning model-based life-cycle classification for selection of a forecasting model

Номер патента: US20240330779A1. Автор: Kiran Venkata Panchamgam,Debdatta Sinha Roy,Joana Urbano. Владелец: Oracle International Corp. Дата публикации: 2024-10-03.

Edge deployment of cloud-originated machine learning and artificial intelligence workloads

Номер патента: US12033006B1. Автор: Pradeep Nair,Janardhan Prabhakara,Pragyana K Mishra,Anish Swaminathan. Владелец: Armada Systems Inc. Дата публикации: 2024-07-09.

Methods and apparatus for machine learning-based movement recognition

Номер патента: US20220350398A1. Автор: Sean Michael PETTERSON,Michael Dohyun KIM,Michael Patrick SPINELLI,Sivasankara Reddy BOMMIREDDY. Владелец: Strongarm Technologies Inc. Дата публикации: 2022-11-03.

Training a machine learning model using a distributed machine learning process

Номер патента: EP4341844A1. Автор: Konstantinos Vandikas,Athanasios KARAPANTELAKIS,Sunil Kumar VUPPALA. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2024-03-27.

Machine learning research platform for automatically optimizing life sciences experiments

Номер патента: US20240104437A1. Автор: Leah Marie Medvick McGuire,Rebecca Ann Conway. Владелец: Benchling Inc. Дата публикации: 2024-03-28.

Automated generation of explainable machine learning

Номер патента: WO2021216104A1. Автор: Yehezkel Shraga RESHEFF,Tzvika Barenholz,Talia Tron,Nitzan Bavly. Владелец: INTUIT INC.. Дата публикации: 2021-10-28.

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.

Artificial intelligence and machine learning models management and/or training

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Composing a machine learning model for complex data sources

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

Номер патента: US11989678B2. Автор: Ramkumar Kothandaraman,Puneet Kalra,Sudeep Sharma,Raghavan Tinniyam Iyer,Bhavna Butani,Ankita KAUSHAL,Suja Jain. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2024-05-21.

Multiple sources of signals for hybrid metrology using physical modeling and machine learning

Номер патента: WO2023250152A1. Автор: Jie Li,Wei Ming CHIEW,Pei Fen TEH,Jingsheng SHI. Владелец: Onto Innovation Inc.. Дата публикации: 2023-12-28.

Techniques for actively identifying parameters of computing interfaces based on requests and for active testing using such parameters

Номер патента: US20230359924A1. Автор: Netanel Maman,Tomer Roizman,Tomer SEMO,Samuel ELGOZI,Ofir MANZUR. Владелец: Noname Gate Ltd. Дата публикации: 2023-11-09.

Method and a system for testing machine learning and deep learning models for robustness, and durability against adversarial bias and privacy attacks

Номер патента: US20210357508A1. Автор: Yuval Elovici,Oleg BRODT,Michael Khavkin,Asaf Shabtai,David Mimran,Edita Grolman. Владелец: DEUTSCHE TELEKOM AG. Дата публикации: 2021-11-18.

Training a machine learning model using a distributed machine learning process

Номер патента: US20240256973A1. Автор: Konstantinos Vandikas,Athanasios KARAPANTELAKIS,Sunil Kumar VUPPALA. Владелец: Telefonaktiebolaget LM Ericsson AB. Дата публикации: 2024-08-01.

Predicting data tampering using augmented machine learning models

Номер патента: CA3192143A1. Автор: Prateek Agrawal,Cuizhen Shen,Philip Munguia,Ledao Chen,Sriram Tirunellayi. Владелец: Equifax Inc. Дата публикации: 2022-04-07.

Detecting and defending against adversarial attacks in decentralized machine learning systems

Номер патента: US20240259208A1. Автор: Sathyanarayanan MANAMOHAN,Cynara Justine. Владелец: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP. Дата публикации: 2024-08-01.

Machine learning model for predicting health plans based on missing input data

Номер патента: US12045894B2. Автор: James L. Poteet, III,Raymond G. Delano, III,Julie Ann Jensen. Владелец: Cerner Innovation Inc. Дата публикации: 2024-07-23.

Time-series machine learning model-based resource demand prediction

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Automated generation of explainable machine learning

Номер патента: EP4139856A1. Автор: Yehezkel Shraga RESHEFF,Tzvika Barenholz,Talia Tron,Nitzan Bavly. Владелец: Intuit Inc. Дата публикации: 2023-03-01.

Systems having components configured for layered machine learning-based optimization of user interface renderings and methods of use thereof

Номер патента: US20240272917A1. Автор: Christopher Vito Covalucci,Kalanand Mishra. Владелец: Capital One Services LLC. Дата публикации: 2024-08-15.

Generating training sets to train machine learning models

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Using unsupervised machine learning to produce interpretable routing rules

Номер патента: US12061962B2. Автор: Mukund RAMACHANDRAN,Rameil Sarkis. Владелец: Atlassian US Inc. Дата публикации: 2024-08-13.

Optimized latent missing feature detection for machine learning models

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Data meta-model based feature vector set generation for training machine learning models

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System, method, and computer program product for secure edge computing of a machine learning model

Номер патента: WO2023150137A1. Автор: Yu Gu,Runxin He,Yinhe Cheng,Miaomiao LIU. Владелец: VISA INTERNATIONAL SERVICE ASSOCIATION. Дата публикации: 2023-08-10.

Anomalous connection detection using combination of online machine learning models

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Systems having components configured for layered machine learning-based optimization of user interface renderings and methods of use thereof

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Method and system for incremental training of machine learning models on edge devices

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Using unsupervised machine learning to produce interpretable routing rules

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Computer-implemented method for providing explanations concerning a global behavior of a machine learning model

Номер патента: US20240353827A1. Автор: Michael LEBACHER. Владелец: SIEMENS AG. Дата публикации: 2024-10-24.

System for monitoring quality and processes based on machine learning

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Data set access for updating machine learning models

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Detecting abnormal events in vehicle operation based on machine learning analysis of messages transmitted over communication channels

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Methods and apparatus for actions, activities and tasks classifications based on machine learning techniques

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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.

Utilizing machine learning models to determine engagement strategies for developers

Номер патента: US20220284318A1. Автор: Tarun Singhal,Mathangi Sandilya,Avishek Gulshan,Saisandeep Sanku,Arunabh Sinha,Srikanth G. RAO,Gopin NAIR. Владелец: Accenture Global Solutions Ltd. Дата публикации: 2022-09-08.

Biased based delegation in machine learning models

Номер патента: US20220318685A1. Автор: Gandhi Sivakumar,Sarvesh S. Patel,Kushal S. Patel,Lynn Kwok. Владелец: International Business Machines Corp. Дата публикации: 2022-10-06.

Machine learning model scenario-based training system

Номер патента: US20220414532A1. Автор: Kenneth Longshaw. Владелец: Bank of America Corp. Дата публикации: 2022-12-29.

Machine learning for computer security policy modification

Номер патента: WO2024073284A1. Автор: Vincent Pham,Lee ADCOCK,Nahid Farhady Ghalaty,Geeta Shyamala. Владелец: Capital One Services, LLC. Дата публикации: 2024-04-04.

Machine learning-assisted user reporting and moderation of multimedia content

Номер патента: US20240221091A1. Автор: Vipin Gupta,Smitkumar Narotambhai MARVANIYA,Vidit Jain,Sayak Dey,Abhishek Maiti,Sourav Kumar Bose,Rajesh Hariharan,Charles M. Voelkel. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-07-04.

Computer-based systems including machine learning models trained on distinct dataset types and methods of use thereof

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Efficient drift duration prediction for machine learning model management

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Transfer knowledge from auxiliary data for more inclusive machine learning models

Номер патента: US20240104422A1. Автор: Balachander Krishnamurthy,Yaron Kanza,Zhengyi ZHOU,Aritra Guha,Cheryl Brooks. Владелец: AT&T INTELLECTUAL PROPERTY I LP. Дата публикации: 2024-03-28.

Characterising wave properties based on measurement data using a machine-learning model

Номер патента: US20240192363A1. Автор: Thomas Robert Swanson,Riva Gulassa. Владелец: X Development LLC. Дата публикации: 2024-06-13.

Method of transmitting process data to a machine learning application

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System and method for autonomous learning of contents using a machine learning algorithm

Номер патента: US20210375148A1. Автор: Petros MINA,Nick Kairinos. Владелец: Fountech Solutions Ltd. Дата публикации: 2021-12-02.

Machine-Learning Driven Data Analysis Based on Demographics, Risk, and Need

Номер патента: US20220327627A1. Автор: Akash Magoon,Aman Magoon,Sina Chehrazi,Josh Allen BROWN,Lisa Renee CARPENTER. Владелец: Nayya Health Inc. Дата публикации: 2022-10-13.

Techniques for training and analyzing a machine learning model

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Techniques for training and analyzing a machine learning model

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Determining pattern ranking based on measurement feedback from printed substrate

Номер патента: US12038694B2. Автор: Maxime Philippe Frederic GENIN,Youping Zhang,Yi Zou,Jing Su,Weixuan HU,Cong Wu. Владелец: ASML Netherlands BV. Дата публикации: 2024-07-16.

Data Record Anomaly Reconciliation Using Machine Learning Models

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Automatic onboard validation of a newly trained vehicle machine learning model

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Systems and methods for mitigation bias in machine learning model output

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Classification Evaluation and Improvement in Machine Learning Models

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Machine learning apparatus, method, and non-transitory computer readable medium storing program

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Machine learned vector modelling for recommendation generation

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Learning model generation method, learning model generation device, method for controlling molten iron temperature in blast furnace, method for guiding molten iron temperature control in blast furnace, and molten iron manufacturing method

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Automated synthetic augmentation of machine learning model training datasets and input variables to improve accuracy

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Systems and methods for a machine learning framework

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Machine learning document classification

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Failure Mode and Effect Analysis System Based on Machine Learning

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Machine-learning image recognition for classifying conditions based on ventilatory data

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Candidate-requisition matching based on machine learning model

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Systems and methods for adjusting a transcript based on output from a machine learning model

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

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Surgical computing system with support for interrelated machine learning models

Номер патента: US20240221893A1. Автор: Jason L. Harris,Frederick E. Shelton, IV. Владелец: Cilag GmbH International. Дата публикации: 2024-07-04.

Generating suggestions for users based on identifying direct interactions in group chats

Номер патента: EP4091114A1. Автор: BO LIU,Ke Wang. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2022-11-23.

Generating suggestions for users based on identifying direct interactions in group chats

Номер патента: WO2021146580A1. Автор: BO LIU,Ke Wang. Владелец: Microsoft Technology Licensing, LLC. Дата публикации: 2021-07-22.

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.

Apparatus and method for evaluating a machine learning model used for assisted or autonomous driving of a vehicle

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Method to learn precise sensing fingerprints based on machine learning integration

Номер патента: US20240275608A1. Автор: Karel Vanheusden,Michael Stowell,Sung Lim,Bruce Lanning,Daniel Cook,Carlos MONTALVO,George Clayton Gibbs,John Chmiola,Jacques NICOLE,Kyle Matthys. Владелец: Lyten Inc. Дата публикации: 2024-08-15.

Sales orchestration using iterative machine learning

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Hypertuning a machine learning model microservices configuration to optimize latency

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Machine learning model for fraud reduction

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Intelligent routing of data objects between paths using machine learning

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Method of field recalibration of multivariate analyte sensors based on learned precise sensing fingerprints

Номер патента: US20240280526A1. Автор: Karel Vanheusden,Michael Stowell,Sung Lim,Bruce Lanning,Daniel Cook,Carlos MONTALVO,George Clayton Gibbs,John Chmiola,Jacques NICOLE,Kyle Matthys. Владелец: Lyten Inc. Дата публикации: 2024-08-22.

Systems and methods for descriptive machine learning based underwriting

Номер патента: US12056771B1. Автор: William Bertrand,Manu Shukla,Alexander Wesley Contryman,Jacob Ryan van Gogh. Владелец: Omniscience Corp. Дата публикации: 2024-08-06.

Videoconference data based machine learning model to identify a calculated risk assessment to generate a care plan for a collaborative care model

Номер патента: US20240242804A1. Автор: Kurt Roots,Monika Roots. Владелец: Bend Health Inc. Дата публикации: 2024-07-18.

Assessing feature-based privacy risk in machine learning model

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Generating and analyzing material structures based on material parameters and machine learning models

Номер патента: US20240220683A1. Автор: Gianina Alina Negoita,Wesley TESKEY. Владелец: VOLKSWAGEN AG. Дата публикации: 2024-07-04.

Method and apparatus for image enhancement

Номер патента: WO2022174908A1. Автор: Onay URFALIOGLU,Fengyi SHEN. Владелец: Huawei Technologies Co., Ltd.. Дата публикации: 2022-08-25.

Preemptive picking of items by an online concierge system based on predictive machine learning model

Номер патента: US20240193627A1. Автор: Abhinav Darbari,Jason Sanchez,Eric Hermann,Haochen Luo,Maksym Brodin,Sam Crocker. Владелец: Maplebear Inc. Дата публикации: 2024-06-13.

Machine learning model based embedding for adaptable content evaluation

Номер патента: EP4315270A1. Автор: James Zimmerman,Scott Labrozzi,Christopher Richard Schroers,Yuanyi Xue,Erika Varis Doggett,Audrey Coyote Aura BEARD,Robert Gerson de Albuquerque AZEVEDO. Владелец: Disney Enterprises Inc. Дата публикации: 2024-02-07.

Technologies for using machine learning to assess contract pricing

Номер патента: US11783270B2. Автор: Vaibhav Srivastava,Jeff Hart,Rukmananda Suresh Mallya Perdur,Sukesh Shekar. Владелец: McKinsey and Co Inc. Дата публикации: 2023-10-10.

Communication channel or communication timing selection based on user engagement

Номер патента: US20240257163A1. Автор: Sunil Kaitha. Владелец: Capital One Services LLC. Дата публикации: 2024-08-01.

Machine-learning and combinatorial optimization framework for managing tasks of a dynamic system with limited resources

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Electronic device and method for selecting representation matrix and measurement matrix used for compressing data based on machine learning

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Identification of patent-relevant messages in a group-based communication system using machine learning techniques

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Machine learning techniques for ground classification

Номер патента: US20230104674A1. Автор: Kevin Balkoski,Eleanor Crane,Matthieu Francois Perrinel,Edward Melcher. Владелец: Matterport Inc. Дата публикации: 2023-04-06.

Deduplication of accounts using account data collision detected by machine learning models

Номер патента: AU2022420862A1. Автор: Eric Shiu. Владелец: Brex Inc. Дата публикации: 2024-07-18.

Predicting user intent based on entity-type search indexes

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Electronic device and method for selecting representation matrix and measurement matrix used for compressing data based on machine learning

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Reconfiguring a second type of sensor based on sensing data of a first type of sensor

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Method of generating a learning model for transferring fluid from one container to another by controlling robot arm based on a machine-learned learning model, and a method and system for weighing the fluid

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System, method, and computer readable medium configured to use machine learning models to determine optimal synthetic routes

Номер патента: US20240212795A1. Автор: Carl Freer,Vicente Jorge Ribas. Владелец: Prepaire Labs Ltd. Дата публикации: 2024-06-27.

Machine learning model generation apparatus, machine learning model generation method, and non-transitory computer readable medium

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Machine learning model generation apparatus, machine learning model generation method, and non-transitory computer readable medium

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Machine learning model generation apparatus, machine learning model generation method, and non-transitory computer readable medium

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Apparatus, method and computer program for managing a request for cognitive network functions and/or machine learning models

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Estimating productivity and estimated ultimate recovery (eur) of unconventional wells through spatial-performance relationship using machine learning

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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: AU2021343372B2. Автор: Richard B. Jones. Владелец: Hartford Steam Boiler Inspection and Insurance Co. Дата публикации: 2024-09-26.

Method, system, and computer program product for multi-layer analysis and detection of vulnerability of machine learning models to adversarial attacks

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Image enhancement via iterative refinement based on machine learning models

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