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Journal Articles
- 2022
[j2]Rasoul Behravesh
, Akhila Rao, Daniel F. Perez-Ramirez, Davit Harutyunyan, Roberto Riggio, Magnus Boman:
Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH). IEEE Trans. Netw. Serv. Manag. 19(4): 4779-4793 (2022)- 2020
- [j1]Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman:
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. IEEE Access 8: 120388-120416 (2020)
Conference and Workshop Papers
- 2023
- [c7]Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman:
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. IPSN 2023: 163-176 - 2022
- [c6]Shuai Zhu, Joakim Eriksson, Thiemo Voigt, Daniel F. Perez-Ramirez:
Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method. EWSN 2022: 208-209 - 2021
- [c5]Shuai Zhu, Thiemo Voigt, Daniel F. Perez-Ramirez, Joakim Eriksson:
A Low-resolution infrared thermal dataset and potential privacy-preserving applications. SenSys 2021: 552-555 - 2020
- [c4]Rasoul Behravesh, Daniel F. Perez-Ramirez, Akhila Rao, Davit Harutyunyan, Roberto Riggio, Rebecca Steinert:
ML-Driven DASH Content Pre-Fetching in MEC-Enabled Mobile Networks. CNSM 2020: 1-7 - [c3]Derk Hendrik Dominick Eggink, Daniel F. Perez-Ramirez, Marco Wilhelm Groll:
Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks. ICE/ITMC 2020: 1-9 - [c2]Daniel F. Perez-Ramirez, Rebecca Steinert, Natalia Vesselinova, Dejan Kostic:
Demo Abstract: Elastic Deployment of Robust Distributed Control Planes with Performance Guarantees. INFOCOM Workshops 2020: 1276-1277 - 2019
- [c1]Derk Hendrik Dominick Eggink, Marco Wilhelm Groll, Daniel F. Perez-Ramirez, Johannes Biedert, Christoph Knödler, Patrick Papentin:
Towards automated joining element design. KES 2019: 87-96
Informal and Other Publications
- 2024
- [i4]Daniel F. Perez-Ramirez:
Variational Quantum Algorithms for Combinatorial Optimization. CoRR abs/2407.06421 (2024) - [i3]Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Dejan Kostic, Magnus Boman, Thiemo Voigt:
Robust Generalization of Graph Neural Networks for Carrier Scheduling. CoRR abs/2407.08479 (2024) - 2021
- [i2]Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman:
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks. CoRR abs/2112.12985 (2021) - 2020
- [i1]Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman:
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking. CoRR abs/2005.11081 (2020)
Coauthor Index
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