PRO AFFINITY SEGUROS
Pro Affinity Seguros is an insurance agency that provides life, home and auto insurance services.
PRO AFFINITY SEGUROS
Industry:
Auto Insurance Financial Services Insurance Life Insurance
Founded:
2004-01-01
Address:
Barueri, Sao Paulo, Brazil
Country:
Brazil
Website Url:
http://www.proaffinity.com.br
Status:
Active
Contact:
55-11-2424-3100
Email Addresses:
[email protected]
Technology used in webpage:
IPhone / Mobile Compatible Viewport Meta Domain Not Resolving SPF Apple Mobile Web Clips Icon Google Font API WordPress LetsEncrypt SSL By Default Font Awesome
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Official Site Inspections
http://www.proaffinity.com.br
- Host name: 162-241-62-170.unifiedlayer.com
- IP address: 162.241.62.170
- Location: Provo United States
- Latitude: 40.2342
- Longitude: -111.6442
- Metro Code: 770
- Timezone: America/Denver
- Postal: 84606
More informations about "Pro Affinity Seguros"
Pro Affinity – CORRETORA DE SEGUROS E CONSULTORIA
[email protected] ; Pro Affinity Pro Affinity Corretora de Seguros e Consultoria em Benefícios Av. Sagitário 138 Cj. 1108 Torre London Shopping Alpha Square Barueri - Alphaville 06473-073 - SP Siga-nos +55 11 2424 …See details»
Pro Affinity Seguros - Crunchbase Company Profile & Funding
Contact Email [email protected]; Phone Number 55-11-2424-3100; Lists Featuring This Company. Edit Lists Featuring This Company Section. Private Barueri Companies . 1,042 …See details»
Sobre Nós - Pro Affinity
[email protected] ; Pro Affinity Av. Sagitario 138 Cj 1108 T London - Shopp Alpha Square Alphaville Barueri SP 06473-073 Shopping Alpha Square Siga-nos +55 11 2424-3100; [email protected]; Pro Affinity Pro …See details»
Pro Affinity - Overview, News & Competitors | ZoomInfo.com
View Pro Affinity (www.proaffinity.com.br) location in Brazil , revenue, industry and description. Find related and similar companies as well as employees by title and much more.See details»
Seguradoras – Pro Affinity
Av. Sagitário, 138 Cj 1108 T London Alphaville – SP 11 2424-3100 [email protected] Registro SUSEP: 202082427See details»
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ProAffinity Corretora de Seguros e Benefícios | 5 followers on LinkedIn.See details»
Affinity Corretora
São Paulo Pça. Dom José Gaspar, 30, 11º andar República, São paulo - SP (11) 3123-3000 Rio de Janeiro Av. Rio Branco, 89 - cj. 202See details»
ProAffinity Corretora de Seguros e Benefícios - Facebook
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Run ProAffinity_GNN.py to train. To retrain this work, please prepare the full training dataset. Run test.py to test.; Please prepare the data needed to be trained or tested. The example data files …See details»
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Aug 21, 2024 Cascade OKRs Throughout the Organization. Encourage teams to create their own OKRs that support company objectives. Ensure alignment between different levels of …See details»
ProAffinity-GNN: A Novel Approach to Structure-based Protein
Mar 15, 2024 Protein-protein interactions (PPIs) are crucial for understanding biological processes and disease mechanisms, contributing significantly to advances in protein …See details»
ProAffinity-GNN: A Novel Approach to Structure-Based Protein …
Subsequently, we introduce ProAffinity-GNN, a novel deep learning framework using protein language model and graph neural network (GNN) to improve the accuracy of prediction of …See details»
GitHub - JiahaoZhang-Public/proAffinity_GNN
ProAffinity-GNN: A Novel Approach to Structure-based Protein-Protein Binding Affinity Prediction via a Curated Dataset and Graph Neural Networks Zhiyuan Zhou, Yueming Yin, Hao Han, …See details»
ProAffinity-GNN/README.md at main · legendzzy/ProAffinity-GNN - GitHub
Run ProAffinity_GNN.py to train. To retrain this work, please prepare the full training dataset. Run test.py to test. Please prepare the data needed to be trained or tested. The example data files are under the data folder. The model trained in this work in provided in the model folder.See details»
ProAffinity-GNN: A Novel Approach to Structure-based Protein …
Mar 14, 2024 “ProAffinity-GNN”, a novel deep learning framework using protein language model and graph neural network (GNN) to improve the accuracy of prediction of structure-based …See details»