Lorenzo Servadei

According to our database, Lorenzo Servadei authored at least 42 papers between 2016 and 2024.

Collaborative distances:

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

2024

Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures.

Thomas Stadelmayer, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz

IEEE Internet Things J., May, 2024

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2024

Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments.

Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2024

2023

Time series quantum classifiers with amplitude embedding.

Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei

Quantum Mach. Intell., December, 2023

Context-adaptable radar-based people counting via few-shot learning.

Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos

Appl. Intell., November, 2023

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

Daniela Sánchez, Lorenzo Servadei, Gamze Naz Kiprit, Robert Wille, Wolfgang Ecker

ACM Trans. Design Autom. Electr. Syst., March, 2023

Deep Reinforcement Learning for Optimization at Early Design Stages.

Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille

IEEE Des. Test, February, 2023

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

Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos

Sensors, January, 2023

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

Nastassia Vysotskaya, Christoph Will, Lorenzo Servadei, Noah Maul, Christian Mandl, Merlin A. Nau, Jens Harnisch, Andreas Maier

Sensors, 2023

Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing.

Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar

CoRR, 2023

Detection of Sensor-To-Sensor Variations using Explainable AI.

Sarah Seifi, Sebastian A. Schober, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille

CoRR, 2023

Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning.

Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz

Proceedings of the IEEE Radio and Wireless Symposium, 2023

Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection.

Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling.

Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the IEEE International Conference on Acoustics, 2023

Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies.

Simon Toni Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Early RTL delay prediction using neural networks.

Daniela Sanchez Lopera, Lorenzo Servadei, Sebastian Siegfried Prebeck, Wolfgang Ecker

Microprocess. Microsystems, October, 2022

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

Rana Elnaggar, Lorenzo Servadei, Shubham Mathur, Robert Wille, Wolfgang Ecker, Krishnendu Chakrabarty

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.

Rodrigo Hernangómez, Tristan Visentin, Lorenzo Servadei, Hamid Khodabakhshandeh, Slawomir Stanczak

Sensors, 2022

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

Gianfranco Mauro, Mateusz Chmurski, Lorenzo Servadei, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos

IEEE Access, 2022

Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology.

Somu Goswami, Christian Bretthauer, Andreas Bogner, Abhiraj Basavanna, Sebastian Anzinger, Marco Haubold, Gunar Lorenz, Johann Strasser, Daniel Weber, Lorenzo Servadei, Robert Wille

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Explainable AI for Gas Sensors.

Sanghamitra Chakraborty, Simon Mittermaier, Cecilia Carbonelli, Lorenzo Servadei

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition.

Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra

Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022

Utilizing Explainable AI for improving the Performance of Neural Networks.

Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking.

Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar.

Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy.

Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak

Proceedings of the 30th European Signal Processing Conference, 2022

2021

RTL Delay Prediction Using Neural Networks.

Daniela Sanchez Lopera, Lorenzo Servadei, Vishwa Priyanka Kasi, Sebastian Siegfried Prebeck, Wolfgang Ecker

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2021, Oslo, 2021

A Survey of Graph Neural Networks for Electronic Design Automation.

Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021

2020

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

Lorenzo Servadei, Edoardo Mosca, Elena Zennaro, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille

IEEE Trans. Computers, 2020

Automatic compiler optimization on embedded software through k-means clustering.

Michael Werner, Lorenzo Servadei, Robert Wille, Wolfgang Ecker

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning.

Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

SoC Design Automation with ML - It's Time for Research.

Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro

Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

Cost Estimation for Configurable Model-Driven SoC Designs Using Machine Learning.

Lorenzo Servadei, Edoardo Mosca, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Optimized HW/FW Generation from an Abstract Register Interface Model.

Michael Werner, Igli Zeraliu, Zhao Han, Sebastian Siegfried Prebeck, Lorenzo Servadei, Wolfgang Ecker

Proceedings of the 23rd Euromicro Conference on Digital System Design, 2020

2019

Using Machine Learning for predicting area and Firmware metrics of hardware designs from abstract specifications.

Lorenzo Servadei, Elena Zennaro, Tobias Fritz, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille

Microprocess. Microsystems, 2019

Formal Verification Methodology in an Industrial Setup.

Lorenzo Servadei, Zhao Han, Michael Werner, Wolfgang Ecker, Keerthikumara Devarajegowda

Proceedings of the 22nd Euromicro Conference on Digital System Design, 2019

Accurate Cost Estimation of Memory Systems Inspired by Machine Learning for Computer Vision.

Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Martin Manzinger, Wolfgang Ecker, Robert Wille

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Embedded Systems' Automation following OMG's Model Driven Architecture Vision.

Wolfgang Ecker, Keerthikumara Devarajegowda, Michael Werner, Zhao Han, Lorenzo Servadei

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning.

Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille

Proceedings of the 8th International Workshop on Combinations of Intelligent Methods and Applications co-located with 30th International Conference on Artificial Intelligence Tools (ICTAI 2018), 2018

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

Elena Zennaro, Lorenzo Servadei, Keerthikumara Devarajegowda, Wolfgang Ecker

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018

2017

Medical Monkeys: A Crowdsourcing Approach to Medical Big Data.

Lorenzo Servadei, Rainer Schmidt, Christina Eidelloth, Andreas Maier

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Workshops, 2017

2016

Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia.

Lorenzo Servadei, Rainer Schmidt, Florian Bär

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Workshops, 2016