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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @d_grillmeyer
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @marius.hadry
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @samuel.kounev
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @veronika.lesch
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @se-group
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting
M. Hadry, D. Grillmeyer, M. Becker, M. König, V. Lesch, and S. Kounev. IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), page 41-50. (2024)
3 days ago by @michael_stenger
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5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
V. Borst, R. Leppich, and S. Kounev. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, (2024)Acceptance Rate: 24.4%.
25 days ago by @vanessa_borst
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5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
V. Borst, R. Leppich, and S. Kounev. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, (2024)Acceptance Rate: 24.4%.
25 days ago by @samuel.kounev
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5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
V. Borst, R. Leppich, and S. Kounev. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, (2024)Acceptance Rate: 24.4%.
25 days ago by @robert_leppich
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5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
V. Borst, R. Leppich, and S. Kounev. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, (2024)Acceptance Rate: 24.4%.
25 days ago by @se-group
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5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
V. Borst, R. Leppich, and S. Kounev. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, (2024)Acceptance Rate: 24.4%.
25 days ago by @michael_stenger
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4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training
F. Spiess, S. Roy, M. Hollmann, C. Cosway, and S. Kalafatis. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), page 1419-1426. (2024)
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4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training
F. Spiess, S. Roy, M. Hollmann, C. Cosway, and S. Kalafatis. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), page 1419-1426. (2024)
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4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training
F. Spiess, S. Roy, M. Hollmann, C. Cosway, and S. Kalafatis. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), page 1419-1426. (2024)
2 months ago by @michael_stenger
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4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions
A. Bauer, M. Gonthier, R. Chard, H. Pan, D. Grzenda, M. Straesser, J. Pauloski, A. Kamatar, M. Baughman, N. Hudson and 2 other author(s). 2024 IEEE 20th International Conference on e-Science (e-Science), (2024)
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4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions
A. Bauer, M. Gonthier, R. Chard, H. Pan, D. Grzenda, M. Straesser, J. Pauloski, A. Kamatar, M. Baughman, N. Hudson and 2 other author(s). 2024 IEEE 20th International Conference on e-Science (e-Science), (2024)
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4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions
A. Bauer, M. Gonthier, R. Chard, H. Pan, D. Grzenda, M. Straesser, J. Pauloski, A. Kamatar, M. Baughman, N. Hudson and 2 other author(s). 2024 IEEE 20th International Conference on e-Science (e-Science), (2024)
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8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme
T. Prantl, M. Lauer, L. Horn, S. Engel, D. Dingel, S. Kounev, A. Bauer, and C. Krupitzer. Proceedings of the 19th International Conference on Availability, Reliability and Security, ACM, (2024)
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8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme
T. Prantl, M. Lauer, L. Horn, S. Engel, D. Dingel, S. Kounev, A. Bauer, and C. Krupitzer. Proceedings of the 19th International Conference on Availability, Reliability and Security, ACM, (2024)
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8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme
T. Prantl, M. Lauer, L. Horn, S. Engel, D. Dingel, S. Kounev, A. Bauer, and C. Krupitzer. Proceedings of the 19th International Conference on Availability, Reliability and Security, ACM, (2024)
7 months ago by @andre.bauer
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6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

6Evaluating the Benefits of Model Retraining for Self-Aware Vehicle Traffic Forecasting

5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs

5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs

5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs

5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs

5MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs

4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training

4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training

4A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training

4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions

4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions

4An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions

8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme

8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme

8Security Analysis of a Decentralized, Revocable and Verifiable Attribute-Based Encryption Scheme

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