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Mona Mona
Mona Mona
E-mailová adresa ověřena na: google.com
Název
Citace
Citace
Rok
AWS CORD-19 search: a neural search engine for COVID-19 literature
P Bhatia, L Liu, K Arumae, N Pourdamghani, S Deshpande, B Snively, ...
International Workshop on Health Intelligence, 131-145, 2021
92021
AWS CORD-19 search: A scientific literature search engine for COVID-19
P Bhatia, K Arumae, N Pourdamghani, S Deshpande, B Snively, M Mona, ...
arXiv, 2020
52020
RAD Lab AlphaFold module for research
MH Mona Mona
https://cloud.google.com/blog/products/ai-machine-learning/rad-lab-alphafold …, 2023
2023
Natural language processing using AWS AI services
M Mona
https://www.amazon.com/Natural-Language-Processing-AWS-Services-ebook/dp …, 2021
2021
Custom document annotation for extracting named entities in documents using Amazon Comprehend
AP Andrea Youmans
https://aws.amazon.com/blogs/machine-learning/custom-document-annotation-for …, 2021
2021
Announcing model improvements and lower annotation limits for Amazon Comprehend custom entity recognition
CK Prem Ranga
https://aws.amazon.com/blogs/machine-learning/announcing-model-improvements …, 2021
2021
Segment paragraphs and detect insights with Amazon Textract and Amazon Comprehend
SK Srinivasarao Daruna, Divyesh Sah
https://aws.amazon.com/blogs/machine-learning/segment-paragraphs-and-detect …, 2021
2021
Detect abnormal equipment behavior and review predictions using Amazon Lookout for Equipment and Amazon A2I
P Ranga
https://aws.amazon.com/blogs/machine-learning/detect-abnormal-equipment …, 2021
2021
Process documents containing handwritten tabular content using Amazon Textract and Amazon A2I
SMS Prem Ranga
https://aws.amazon.com/blogs/machine-learning/process-documents-containing …, 2021
2021
Training, debugging and running time series forecasting models with the GluonTS toolkit on Amazon SageMaker
NR Prem Ranga, Jana Gnanachandran
https://aws.amazon.com/blogs/machine-learning/training-debugging-and-running …, 2021
2021
Reviewing online fraud using Amazon Fraud Detector and Amazon A2I
PM by Srinath Godavarthi, Mona Mona
https://aws.amazon.com/blogs/machine-learning/reviewing-online-fraud-using …, 2021
2021
Identify bottlenecks, improve resource utilization, and reduce ML training costs with the deep profiling feature in Amazon SageMaker Debugger
SM Prem Ranga
https://aws.amazon.com/blogs/machine-learning/identify-bottlenecks-improve …, 2020
2020
Using Amazon Rekognition Custom Labels and Amazon A2I for detecting pizza slices and augmenting predictions
N Prem Ranga
https://aws.amazon.com/blogs/machine-learning/using-amazon-rekognition …, 2020
2020
Setting up human review of your NLP-based entity recognition models with Amazon SageMaker Ground Truth, Amazon Comprehend, and Amazon A2I
P Ranga
https://aws.amazon.com/blogs/machine-learning/setting-up-human-review-of …, 2020
2020
Announcing the launch of Amazon Comprehend custom entity recognition real-time endpoints
P Ranga
https://aws.amazon.com/blogs/machine-learning/announcing-the-launch-of …, 2020
2020
Deriving conversational insights from invoices with Amazon Textract, Amazon Comprehend, and Amazon Lex
SC Prem Ranga
https://aws.amazon.com/blogs/machine-learning/deriving-conversational …, 2020
2020
Deriving conversational insights from invoices with Amazon Textract, Amazon Comprehend, and Amazon Lex
P Ranga
https://aws.amazon.com/blogs/machine-learning/deriving-conversational …, 2020
2020
ML Explainability with Amazon SageMaker Debugger
SM Rahul Iyer
https://aws.amazon.com/blogs/machine-learning/ml-explainability-with-amazon …, 2020
2020
Building an NLP-powered search index with Amazon Textract and Amazon Comprehend
S Srivastava
https://aws.amazon.com/blogs/machine-learning/building-an-nlp-powered-search …, 2019
2019
Introduction to Amazon Cloud & EC2 Overview
M Mona
2017
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