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Lorenzo Servadei
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2020 – today
- 2024
- [j14]Max Sponner
, Lorenzo Servadei, Bernd Waschneck
Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI. IEEE Access 12: 169787-169804 (2024) - [j13]Thomas Stadelmayer
Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures. IEEE Internet Things J. 11(9): 15285-15298 (2024) - [c30]Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar:
Harnessing Temporal Information for Efficient Edge AI. FMEC 2024: 5-13 - [c29]Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille:
MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. ICANN (2) 2024: 168-184 - [c28]Simon Toni Hofmann, Marcel Walter
Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning. ISQED 2024: 1-8 - [c27]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: 3179-3184 - [c26]Sarah Seifi, Tobias Sukianto
XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI. xAI (3) 2024: 232-246 - [i16]Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar:
Efficient Post-Training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments. CoRR abs/2403.07957 (2024) - [i15]Max Sponner, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar:
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks. CoRR abs/2403.07958 (2024) - [i14]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 abs/2404.06165 (2024) - [i13]Huawei Sun, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille:
CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation. CoRR abs/2407.00697 (2024) - [i12]Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille:
MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. CoRR abs/2408.00565 (2024) - [i11]Huawei Sun, Zixu Wang, Hao Feng, Julius Ott, Lorenzo Servadei, Robert Wille:
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling. CoRR abs/2409.02720 (2024) - [i10]Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille:
Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI. CoRR abs/2410.12806 (2024) - 2023
- [j12]Gianfranco Mauro
Context-adaptable radar-based people counting via few-shot learning. Appl. Intell. 53(21): 25359-25387 (2023) - [j11]Lorenzo Servadei
Deep Reinforcement Learning for Optimization at Early Design Stages. IEEE Des. Test 40(1): 43-51 (2023) - [j10]Manuel P. Cuéllar, Carlos Cano Gutierrez, Luis G. Baca Ruíz
Time series quantum classifiers with amplitude embedding. Quantum Mach. Intell. 5(2): 45 (2023) - [j9]Gianfranco Mauro
Few-Shot User-Adaptable Radar-Based Breath Signal Sensing. Sensors 23(2): 804 (2023) - [j8]Nastassia Vysotskaya
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar - A Feasibility Study. Sensors 23(8): 4111 (2023) - [j7]Daniela Sánchez
A Comprehensive Survey on Electronic Design Automation and Graph Neural Networks: Theory and Applications. ACM Trans. Design Autom. Electr. Syst. 28(2): 15:1-15:27 (2023) - [c25]Simon Toni Hofmann, Marcel Walter
Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies. DAC 2023: 1-2 - [c24]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP 2023: 1-5 - [c23]Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille:
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection. ITSC 2023: 3619-3626 - [c22]Thomas Stadelmayer, Lorenzo Servadei, Avik Santra
Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. RWS 2023: 44-47 - [i9]Sarah Seifi, Sebastian A. Schober, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille:
Detection of Sensor-To-Sensor Variations using Explainable AI. CoRR abs/2306.10850 (2023) - [i8]Huawei Sun, Hao Feng, Georg Stettinger, Lorenzo Servadei, Robert Wille:
Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection. CoRR abs/2307.08339 (2023) - [i7]Max Sponner, Julius Ott, Lorenzo Servadei, Bernd Waschneck, Robert Wille, Akash Kumar:
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing. CoRR abs/2309.05686 (2023) - 2022
- [j6]Gianfranco Mauro
Few-Shot User-Definable Radar-Based Hand Gesture Recognition at the Edge. IEEE Access 10: 29741-29759 (2022) - [j5]Daniela Sanchez Lopera
Early RTL delay prediction using neural networks. Microprocess. Microsystems 94: 104671 (2022) - [j4]Rodrigo Hernangómez
Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. Sensors 22(4): 1519 (2022) - [j3]Rana Elnaggar
Accurate and Robust Malware Detection: Running XGBoost on Runtime Data From Performance Counters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(7): 2066-2079 (2022) - [c21]Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. EUSIPCO 2022: 1566-1570 - [c20]Lorenzo Servadei, Huawei Sun, Julius Ott
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP 2022: 3883-3887 - [c19]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. ICMLA 2022: 1476-1483 - [c18]Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Avik Santra
Utilizing Explainable AI for improving the Performance of Neural Networks. ICMLA 2022: 1775-1782 - [c17]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: 350-354 - [c16]Sanghamitra Chakraborty, Simon Mittermaier, Cecilia Carbonelli, Lorenzo Servadei:
Explainable AI for Gas Sensors. IEEE SENSORS 2022: 1-4 - [c15]Somu Goswami, Christian Bretthauer, Andreas Bogner, Abhiraj Basavanna, Sebastian Anzinger
Compact High-Performance Vibration Sensor Based on Single-Backplate MEMS Technology. IEEE SENSORS 2022: 1-4 - [i6]Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. CoRR abs/2203.04588 (2022) - [i5]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 abs/2203.17066 (2022) - [i4]Huawei Sun, Lorenzo Servadei, Hao Feng, Michael Stephan, Robert Wille, Avik Santra:
Utilizing Explainable AI for improving the Performance of Neural Networks. CoRR abs/2210.04686 (2022) - [i3]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR abs/2210.13545 (2022) - [i2]Julius Ott, Lorenzo Servadei, Gianfranco Mauro, Thomas Stadelmayer, Avik Santra, Robert Wille:
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. CoRR abs/2210.14532 (2022) - 2021
- [c14]Daniela Sanchez Lopera
A Survey of Graph Neural Networks for Electronic Design Automation. MLCAD 2021: 1-6 - [c13]Daniela Sanchez Lopera
RTL Delay Prediction Using Neural Networks. NorCAS 2021: 1-7 - [i1]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 abs/2110.05876 (2021) - 2020
- [j2]Lorenzo Servadei
Accurate Cost Estimation of Memory Systems Utilizing Machine Learning and Solutions from Computer Vision for Design Automation. IEEE Trans. Computers 69(6): 856-867 (2020) - [c12]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: 35-39 - [c11]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: 405-410 - [c10]Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera
SoC Design Automation with ML - It's Time for Research. MLCAD 2020: 35-36 - [c9]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: 37-42 - [c8]Michael Werner, Lorenzo Servadei, Robert Wille, Wolfgang Ecker:
Automatic compiler optimization on embedded software through k-means clustering. MLCAD 2020: 157-162
2010 – 2019
- 2019
- [j1]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) - [c7]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: 1277-1280 - [c6]Wolfgang Ecker, Keerthikumara Devarajegowda, Michael Werner, Zhao Han, Lorenzo Servadei:
Embedded Systems' Automation following OMG's Model Driven Architecture Vision. DATE 2019: 1301-1306 - [c5]Lorenzo Servadei, Zhao Han, Michael Werner, Wolfgang Ecker, Keerthikumara Devarajegowda:
Formal Verification Methodology in an Industrial Setup. DSD 2019: 610-614 - 2018
- [c4]Elena Zennaro, Lorenzo Servadei, Keerthikumara Devarajegowda, Wolfgang Ecker:
A Machine Learning Approach for Area Prediction of Hardware Designs from Abstract Specifications. DSD 2018: 413-420 - [c3]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: 14-27 - 2017
- [c2]Lorenzo Servadei, Rainer Schmidt
Medical Monkeys: A Crowdsourcing Approach to Medical Big Data. OTM Workshops 2017: 87-97 - 2016
- [c1]Lorenzo Servadei, Rainer Schmidt
Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia. OTM Workshops 2016: 217-227
Coauthor Index
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last updated on 2024-12-02 22:28 CET by the dblp team
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