Concepedia

Author

Lorenzo Servadei

Technical University of Munich

Also Known As

L. Servadei, Lorenzo Servadei, Matsuo, Ryoga, Servadei, Lorenzo

115

Publications

548

Citations

14

H-Index

65

Concepts

All Affiliations

Technical University of MunichInfineon Technologies (Germany)Johannes Kepler University of LinzFriedrich-Alexander-Universität Erlangen-NürnbergInfineon Technologies (Canada)
LS

About

Lorenzo Servadei is an author at Technical University of Munich specializing in engineering, computer architecture, and computer engineering.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

9

9

188

2

Computer Engineering

6

6

128

3

Computer Science

6

6

128

4

Medicine

1

1

30

5

Biostatistics

1

1

30

Lorenzo Servadei

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18

Publications

367

Citations

14

H-Index

YearCitations

A Survey of Graph Neural Networks for Electronic Design Automation

Daniela Sánchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit,

2021

79

A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications

Daniela Sánchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit,

ACM Transactions on Design Automation of Electronic Systems

2022

41

Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study

Nastassia Vysotskaya, Christoph Will, Lorenzo Servadei,

Sensors

2023

30

A Machine Learning Approach for Area Prediction of Hardware Designs from Abstract Specifications

Elena Zennaro, Lorenzo Servadei, Keerthikumara Devarajegowda,

2018

22

Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters

Rana Elnaggar, Lorenzo Servadei, Shubham Mathur,

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

2021

20

Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation

Lorenzo Servadei, E. Mosca, Elena Zennaro,

IEEE Transactions on Computers

2020

17

Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge

Gianfranco Mauro, Mateusz Chmurski, Lorenzo Servadei,

IEEE Access

2022

16

Scene-adaptive radar tracking with deep reinforcement learning

Michael Stephan, Lorenzo Servadei, Jose A. Arjona-Medina,

Machine Learning with Applications

2022

16

Few-Shot User-Adaptable Radar-Based Breath Signal Sensing

Gianfranco Mauro, Maria De Carlos Diez, Julius Ott,

Sensors

2023

15

Embedded Systems’ Automation following OMG’s Model Driven Architecture Vision

Wolfgang Ecker, Keerthikumara Devarajegowda, Michael Werner,

2019

14

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