Daniel F. Perez-Ramirez

15 papers B 3Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
CASTILLO: Characterizing Response Length Distributions of Large Language Models.
CoRR
Daniel F. Perez-Ramirez, Dejan Kostic, Magnus Boman
2024 — conf
Reducing the Number of Leads for ECG Imaging with Graph Neural Networks and Meaningful Latent Space.
CMRxRecon/MBAS/STACOM@MICCAI
Giacomo Verardo, Daniel F. Perez-Ramirez, Samuel Bruchfeld, Magnus Boman, Marco Chiesa, Sabine Koch, Gerald Q. Maguire Jr., Dejan Kostic
2024 J jnl
Robust Generalization of Graph Neural Networks for Carrier Scheduling.
CoRR
Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Dejan Kostic, Magnus Boman, Thiemo Voigt
2024 J jnl
Variational Quantum Algorithms for Combinatorial Optimization.
CoRR
Daniel F. Perez-Ramirez
2023 — conf
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks.
IPSN
Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman
2022 J jnl
Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH).
IEEE Trans. Netw. Serv. Manag.
Rasoul Behravesh, Akhila Rao, Daniel F. Perez-Ramirez, Davit Harutyunyan, Roberto Riggio, Magnus Boman
2022 B conf
Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method.
EWSN
Shuai Zhu, Joakim Eriksson, Thiemo Voigt, Daniel F. Perez-Ramirez
2021 Misc conf
A Low-resolution infrared thermal dataset and potential privacy-preserving applications.
SenSys
Shuai Zhu, Thiemo Voigt, Daniel F. Perez-Ramirez, Joakim Eriksson
2021 J jnl
DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks.
CoRR
Daniel F. Perez-Ramirez, Carlos M. Pérez-Penichet, Nicolas Tsiftes, Thiemo Voigt, Dejan Kostic, Magnus Boman
2020 — conf
Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks.
ICE/ITMC
Derk Hendrik Dominick Eggink, Daniel F. Perez-Ramirez, Marco Wilhelm Groll
2020 — conf
Demo Abstract: Elastic Deployment of Robust Distributed Control Planes with Performance Guarantees.
INFOCOM Workshops
Daniel F. Perez-Ramirez, Rebecca Steinert, Natalia Vesselinova, Dejan Kostic
2020 J jnl
Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking.
IEEE Access
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
2020 J jnl
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking.
CoRR
Natalia Vesselinova, Rebecca Steinert, Daniel F. Perez-Ramirez, Magnus Boman
2020 B conf
ML-Driven DASH Content Pre-Fetching in MEC-Enabled Mobile Networks.
CNSM
Rasoul Behravesh, Daniel F. Perez-Ramirez, Akhila Rao, Davit Harutyunyan, Roberto Riggio, Rebecca Steinert
2019 B conf
Towards automated joining element design.
KES
Derk Hendrik Dominick Eggink, Marco Wilhelm Groll, Daniel F. Perez-Ramirez, Johannes Biedert, Christoph Knödler, Patrick Papentin