Lorenzo Servadei

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Graph Representations

Gesture Recognition

Machine Learning

Top Venues

Publications

Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. CoRR (2024)
Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation. CoRR (2024)
Thomas Stadelmayer, Youcef Hassab, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures. IEEE Internet Things J. 11 (9) (2024)
Simon Toni Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille
Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning. ISQED (2024)
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments. CoRR (2024)
Huawei Sun, Hao Feng, Gianfranco Mauro, Julius Ott, Georg Stettinger, Lorenzo Servadei, Robert Wille
Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. IV (2024)
Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks. CoRR (2024)
Simon Hofmann, Marcel Walter, Lorenzo Servadei, Robert Wille
Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies. DAC (2023)
Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection. ITSC (2023)
Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing. CoRR (2023)
Lorenzo Servadei, Jin Hwa Lee, José Antonio Arjona-Medina, Michael Werner, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Des. Test 40 (1) (2023)
Sarah Seifi, Sebastian A. Schober, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille
Detection of Sensor-To-Sensor Variations using Explainable AI. CoRR (2023)
Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection. CoRR (2023)
Thomas Stadelmayer, Lorenzo Servadei, Avik Santra, Robert Weigel, Fabian Lurz
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. RWS (2023)
Gianfranco Mauro, Maria De Carlos Diez, Julius Ott, Lorenzo Servadei, Manuel P. Cuéllar, Diego P. Morales-Santos
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors 23 (2) (2023)
Daniela Sánchez, Lorenzo Servadei, Gamze Naz Kiprit, Robert Wille, Wolfgang Ecker
A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP (2023)
Gianfranco Mauro, Ignacio Martinez-Rodriguez, Julius Ott, Lorenzo Servadei, Robert Wille, Manuel P. Cuéllar, Diego P. Morales-Santos
Context-adaptable radar-based people counting via few-shot learning. Appl. Intell. 53 (21) (2023)
Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz, Lorenzo Servadei
Time series quantum classifiers with amplitude embedding. Quantum Mach. Intell. 5 (2) (2023)
Nastassia Vysotskaya, Christoph Will, Lorenzo Servadei, Noah Maul, Christian Mandl, Merlin A. Nau, Jens Harnisch, Andreas Maier
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar - A Feasibility Study. Sensors 23 (8) (2023)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR (2022)
Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. CoRR (2022)
Gianfranco Mauro, Mateusz Chmurski, Lorenzo Servadei, Manuel Pegalajar Cuéllar, Diego P. Morales-Santos
Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access 10 (2022)
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. ICMLA (2022)
Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. CoRR (2022)
Daniela Sanchez Lopera, Lorenzo Servadei, Sebastian Siegfried Prebeck, Wolfgang Ecker
Early RTL delay prediction using neural networks. Microprocess. Microsystems 94 (2022)
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. CoRR (2022)
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra
Utilizing Explainable AI for improving the Performance of Neural Networks. CoRR (2022)
Rodrigo Hernangómez, Tristan Visentin, Lorenzo Servadei, Hamid Khodabakhshandeh, Slawomir Stanczak
Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. Sensors 22 (4) (2022)
Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. EUSIPCO (2022)
Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra, Robert Wille
Utilizing Explainable AI for improving the Performance of Neural Networks. ICMLA (2022)
Somu Goswami, Christian Bretthauer, Andreas Bogner, Abhiraj Basavanna, Sebastian Anzinger, Marco Haubold, Gunar Lorenz, Johann Strasser, Daniel Weber, Lorenzo Servadei, Robert Wille
Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology. IEEE SENSORS (2022)
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP (2022)
Rana Elnaggar, Lorenzo Servadei, Shubham Mathur, Robert Wille, Wolfgang Ecker, Krishnendu Chakrabarty
Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Sanghamitra Chakraborty, Simon Mittermaier, Cecilia Carbonelli, Lorenzo Servadei
Explainable AI for Gas Sensors. IEEE SENSORS (2022)
Souvik Hazra, Hao Feng, Gamze Naz Kiprit, Michael Stephan, Lorenzo Servadei, Robert Wille, Robert Weigel, Avik Santra
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. SAM (2022)
Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker
A Survey of Graph Neural Networks for Electronic Design Automation. MLCAD (2021)
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar. CoRR (2021)
Daniela Sanchez Lopera, Lorenzo Servadei, Vishwa Priyanka Kasi, Sebastian Siegfried Prebeck, Wolfgang Ecker
RTL Delay Prediction Using Neural Networks. NorCAS (2021)
Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. MLCAD (2020)
Michael Werner, Igli Zeraliu, Zhao Han, Sebastian Siegfried Prebeck, Lorenzo Servadei, Wolfgang Ecker
Optimized HW/FW Generation from an Abstract Register Interface Model. DSD (2020)
Lorenzo Servadei, Edoardo Mosca, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille
Cost Estimation for Configurable Model-Driven SoC Designs Using Machine Learning. ACM Great Lakes Symposium on VLSI (2020)
Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro
SoC Design Automation with ML - It's Time for Research. MLCAD (2020)
Michael Werner, Lorenzo Servadei, Robert Wille, Wolfgang Ecker
Automatic compiler optimization on embedded software through k-means clustering. MLCAD (2020)
Lorenzo Servadei, Edoardo Mosca, Elena Zennaro, Keerthikumara Devarajegowda, Michael Werner, Wolfgang Ecker, Robert Wille
Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation. IEEE Trans. Computers 69 (6) (2020)
Lorenzo Servadei, Elena Zennaro, Tobias Fritz, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille
Using Machine Learning for predicting area and Firmware metrics of hardware designs from abstract specifications. Microprocess. Microsystems 71 (2019)
Lorenzo Servadei, Zhao Han, Michael Werner, Wolfgang Ecker, Keerthikumara Devarajegowda
Formal Verification Methodology in an Industrial Setup. DSD (2019)
Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Martin Manzinger, Wolfgang Ecker, Robert Wille
Accurate Cost Estimation of Memory Systems Inspired by Machine Learning for Computer Vision. DATE (2019)
Wolfgang Ecker, Keerthikumara Devarajegowda, Michael Werner, Zhao Han, Lorenzo Servadei
Embedded Systems' Automation following OMG's Model Driven Architecture Vision. DATE (2019)
Elena Zennaro, Lorenzo Servadei, Keerthikumara Devarajegowda, Wolfgang Ecker
A Machine Learning Approach for Area Prediction of Hardware Designs from Abstract Specifications. DSD (2018)
Lorenzo Servadei, Elena Zennaro, Keerthikumara Devarajegowda, Wolfgang Ecker, Robert Wille
Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning. CIMA@ICTAI (2018)
Lorenzo Servadei, Rainer Schmidt, Christina Eidelloth, Andreas Maier
Medical Monkeys: A Crowdsourcing Approach to Medical Big Data. OTM Workshops (2017)
Lorenzo Servadei, Rainer Schmidt, Florian Bär
Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia. OTM Workshops (2016)