Daniel F. Perez-Ramirez

According to our database, Daniel F. Perez-Ramirez authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Generalization of Graph Neural Networks for Carrier Scheduling.

Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Dejan Kostic, Magnus Boman, Thiemo Voigt

CoRR, 2024

Variational Quantum Algorithms for Combinatorial Optimization.

Daniel F. Perez-Ramirez

CoRR, 2024

2023

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks.

Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

2022

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH).

Rasoul Behravesh, Akhila Rao, Daniel F. Perez-Ramirez, Davit Harutyunyan, Roberto Riggio, Magnus Boman

IEEE Trans. Netw. Serv. Manag., December, 2022

Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method.

Shuai Zhu, Joakim Eriksson, Thiemo Voigt, Daniel F. Perez-Ramirez

Proceedings of the 2022 International Conference on Embedded Wireless Systems and Networks, 2022

2021

A Low-resolution infrared thermal dataset and potential privacy-preserving applications.

Shuai Zhu, Thiemo Voigt, Daniel F. Perez-Ramirez, Joakim Eriksson

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

2020

Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking.

Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman

IEEE Access, 2020

Demo Abstract: Elastic Deployment of Robust Distributed Control Planes with Performance Guarantees.

Daniel F. Perez-Ramirez, Rebecca Steinert, Natalia Vesselinova, Dejan Kostic

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks.

Derk Hendrik Dominick Eggink, Daniel F. Perez-Ramirez, Marco Wilhelm Groll

Proceedings of the 2020 IEEE International Conference on Engineering, 2020

ML-Driven DASH Content Pre-Fetching in MEC-Enabled Mobile Networks.

Rasoul Behravesh, Daniel F. Perez-Ramirez, Akhila Rao, Davit Harutyunyan, Roberto Riggio, Rebecca Steinert

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

Towards automated joining element design.

Derk Hendrik Dominick Eggink, Marco Wilhelm Groll, Daniel F. Perez-Ramirez, Johannes Biedert, Christoph Knödler, Patrick Papentin

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, 2019