Daniel F. Perez-Ramirez

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Combinatorial Optimization

Machine Learning

Distributed Control

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

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)
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) (2022)
Shuai Zhu, Joakim Eriksson, Thiemo Voigt, Daniel F. Perez-Ramirez
Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method. EWSN (2022)
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 (2021)
Shuai Zhu, Thiemo Voigt, Daniel F. Perez-Ramirez, Joakim Eriksson
A Low-resolution infrared thermal dataset and potential privacy-preserving applications. SenSys (2021)
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)
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)
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking. CoRR (2020)
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking. IEEE Access 8 (2020)
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)
Derk Hendrik Dominick Eggink, Marco Wilhelm Groll, Daniel F. Perez-Ramirez, Johannes Biedert, Christoph Knödler, Patrick Papentin
Towards automated joining element design. KES (2019)