Artificial Neural Network for Supporting Medical Decision Making: A Decision Model and Notation Approach to Spondylolisthesis and Disk Hernia. - Lorenzo Servadei; Rainer Schmidt 001; Florian Bär (OTM Workshops, 2016)

Medical Monkeys: A Crowdsourcing Approach to Medical Big Data. - Lorenzo Servadei; Rainer Schmidt 001; Christina Eidelloth; Andreas Maier 001 (OTM Workshops, 2017)

A Machine Learning Approach for Area Prediction of Hardware Designs from Abstract Specifications. - Elena Zennaro; Lorenzo Servadei; Keerthikumara Devarajegowda; Wolfgang Ecker (DSD, 2018)

Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning. - Lorenzo Servadei; Elena Zennaro; Keerthikumara Devarajegowda; Wolfgang Ecker; Robert Wille (CIMA@ICTAI, 2018)

Embedded Systems' Automation following OMG's Model Driven Architecture Vision. - Wolfgang Ecker; Keerthikumara Devarajegowda; Michael Werner; Zhao Han; Lorenzo Servadei (DATE, 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 (DATE, 2019)

Formal Verification Methodology in an Industrial Setup. - Lorenzo Servadei; Zhao Han; Michael Werner; Wolfgang Ecker; Keerthikumara Devarajegowda (DSD, 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)

Optimized HW/FW Generation from an Abstract Register Interface Model. - Michael Werner; Igli Zeraliu; Zhao Han; Sebastian Siegfried Prebeck; Lorenzo Servadei; Wolfgang Ecker (DSD, 2020)

Cost Estimation for Configurable Model-Driven SoC Designs Using Machine Learning. - Lorenzo Servadei; Edoardo Mosca; Keerthikumara Devarajegowda; Michael Werner; Wolfgang Ecker; Robert Wille (ACM Great Lakes Symposium on VLSI, 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 003; Sven Wenzek; Vijaydeep Yadav; Elena Zennaro (MLCAD, 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 (MLCAD, 2020)

Automatic compiler optimization on embedded software through k-means clustering. - Michael Werner; Lorenzo Servadei; Robert Wille; Wolfgang Ecker (MLCAD, 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)

A Survey of Graph Neural Networks for Electronic Design Automation. - Daniela Sanchez Lopera; Lorenzo Servadei; Gamze Naz Kiprit; Souvik Hazra; Robert Wille; Wolfgang Ecker (MLCAD, 2021)

RTL Delay Prediction Using Neural Networks. - Daniela Sanchez Lopera; Lorenzo Servadei; Vishwa Priyanka Kasi; Sebastian Siegfried Prebeck; Wolfgang Ecker (NorCAS, 2021)

Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. - Rodrigo Hernangómez; Igor Bjelakovic; Lorenzo Servadei; Slawomir Stanczak (EUSIPCO, 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 (ICASSP, 2022)

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. - Julius Ott; Lorenzo Servadei; Gianfranco Mauro; Thomas Stadelmayer; Avik Santra; Robert Wille (ICMLA, 2022)

Utilizing Explainable AI for improving the Performance of Neural Networks. - Huawei Sun; Lorenzo Servadei; Hao Feng; Michael Stephan; Avik Santra; Robert Wille (ICMLA, 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 (SAM, 2022)

Explainable AI for Gas Sensors. - Sanghamitra Chakraborty; Simon Mittermaier; Cecilia Carbonelli; Lorenzo Servadei (IEEE SENSORS, 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 006; Lorenzo Servadei; Robert Wille (IEEE 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)

Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation. - Rodrigo Hernangómez; Tristan Visentin; Lorenzo Servadei; Hamid Khodabakhshandeh; Slawomir Stanczak (Sensors, 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)

Early RTL delay prediction using neural networks. - Daniela Sanchez Lopera; Lorenzo Servadei; Sebastian Siegfried Prebeck; Wolfgang Ecker (Microprocess. Microsystems, 2022)

Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies. - Simon Toni Hofmann; Marcel Walter; Lorenzo Servadei; Robert Wille (DAC, 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 (ICASSP, 2023)

Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection. - Huawei Sun; Hao Feng; Georg Stettinger; Lorenzo Servadei; Robert Wille (ITSC, 2023)

Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. - Thomas Stadelmayer; Lorenzo Servadei; Avik Santra; Robert Weigel; Fabian Lurz (RWS, 2023)

Detection of Sensor-To-Sensor Variations using Explainable AI. - Sarah Seifi; Sebastian A. Schober; Cecilia Carbonelli; Lorenzo Servadei; Robert Wille (CoRR, 2023)

Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing. - Max Sponner; Julius Ott; Lorenzo Servadei; Bernd Waschneck; Robert Wille; Akash Kumar 001 (CoRR, 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 001 (Sensors, 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, 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, 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., 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., 2023)

Time series quantum classifiers with amplitude embedding. - Manuel P. Cuéllar; Carlos Cano Gutierrez; Luis G. Baca Ruíz; Lorenzo Servadei (Quantum Mach. Intell., 2023)

Harnessing Temporal Information for Efficient Edge AI. - Max Sponner; Lorenzo Servadei; Bernd Waschneck; Robert Wille; Akash Kumar 001 (FMEC, 2024)

MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. - Xiangyuan Peng; Miao Tang; Huawei Sun; Kay Bierzynski; Lorenzo Servadei; Robert Wille (ICANN (2), 2024)

Wave Dynamic Time Warping Algorithm for Periodic Signal Similarity Estimation. - Evgenia Slivko; Gianfranco Mauro; Kay Bierzynski; Lorenzo Servadei; Robert Wille (IEEE SENSORS, 2024)

CaFNet: A Confidence-Driven Framework for Radar Camera Depth Estimation. - Huawei Sun; Hao Feng; Julius Ott; Lorenzo Servadei; Robert Wille (IROS, 2024)

Thinking Outside the Clock: Physical Design for Field-coupled Nanocomputing with Deep Reinforcement Learning. - Simon Toni Hofmann; Marcel Walter; Lorenzo Servadei; Robert Wille (ISQED, 2024)

Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applications. - Huawei Sun; Hao Feng; Gianfranco Mauro; Julius Ott; Georg Stettinger; Lorenzo Servadei; Robert Wille (IV, 2024)

Efficient Post-training Augmentation for Adaptive Inference in Heterogeneous and Distributed IoT Environments. - Max Sponner; Lorenzo Servadei; Bernd Waschneck; Robert Wille; Akash Kumar 001 (SAMOS, 2024)

XentricAI: A Gesture Sensing Calibration Approach Through Explainable and User-Centric AI. - Sarah Seifi; Tobias Sukianto; Maximilian Strobel; Cecilia Carbonelli; Lorenzo Servadei; Robert Wille (xAI (3), 2024)

Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI. - Max Sponner; Lorenzo Servadei; Bernd Waschneck; Robert Wille; Akash Kumar 001 (IEEE Access, 2024)

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks. - Max Sponner; Lorenzo Servadei; Bernd Waschneck; Robert Wille; Akash Kumar 001 (CoRR, 2024)

Interpretable Rule-Based System for Radar-Based Gesture Sensing: Enhancing Transparency and Personalization in AI. - Sarah Seifi; Tobias Sukianto; Cecilia Carbonelli; Lorenzo Servadei; Robert Wille (CoRR, 2024)

GraCo - A Graph Composer for Integrated Circuits. - Stefan Uhlich; Andrea Bonetti; Arun Venkitaraman; Ali Momeni 002; Ryoga Matsuo; Chia-Yu Hsieh; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2024)

Schemato - An LLM for Netlist-to-Schematic Conversion. - Ryoga Matsuo; Stefan Uhlich; Arun Venkitaraman; Andrea Bonetti; Chia-Yu Hsieh; Ali Momeni 002; Lukas Mauch; Augusto Capone; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 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., 2024)

MutualForce: Mutual-Aware Enhancement for 4D Radar-LiDAR 3D Object Detection. - Xiangyuan Peng; Huawei Sun; Kay Bierzynski; Anton Fischbacher; Lorenzo Servadei; Robert Wille (ICASSP, 2025)

LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty Guidance. - Huawei Sun; Nastassia Vysotskaya; Tobias Sukianto; Hao Feng; Julius Ott; Xiangyuan Peng; Lorenzo Servadei; Robert Wille (ICASSP, 2025)

GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling. - Huawei Sun; Zixu Wang; Hao Feng; Julius Ott; Lorenzo Servadei; Robert Wille (WACV, 2025)

Enhancing FMCW Radar Gesture Classification With Physically Interpretable Data Augmentation. - Alessandra Fusco; Zain Amir Zaman; Souvik Hazra; Lorenzo Servadei; Robert Wille (IEEE Access, 2025)

Exploiting Benford's Law for Weight Regularization of Deep Neural Networks. - Julius Ott; Huawei Sun; Enrico Rinaldi; Gianfranco Mauro; Lorenzo Servadei; Robert Wille (Trans. Mach. Learn. Res., 2025)

TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation. - Huawei Sun; Zixu Wang; Hao Feng; Julius Ott; Lorenzo Servadei; Robert Wille (Trans. Mach. Learn. Res., 2025)

Locality-aware Surrogates for Gradient-based Black-box Optimization. - Ali Momeni 002; Stefan Uhlich; Arun Venkitaraman; Chia-Yu Hsieh; Andrea Bonetti; Ryoga Matsuo; Eisaku Ohbuchi; Lorenzo Servadei (CoRR, 2025)

Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition. - Sarah Seifi; Tobias Sukianto; Cecilia Carbonelli; Lorenzo Servadei; Robert Wille (CoRR, 2025)

4D mmWave Radar in Adverse Environments for Autonomous Driving: A Survey. - Xiangyuan Peng; Miao Tang; Huawei Sun; Lorenzo Servadei; Robert Wille (CoRR, 2025)

MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection. - Xiangyuan Peng; Yu Wang; Miao Tang; Kay Bierzynski; Lorenzo Servadei; Robert Wille (CoRR, 2025)

SpiceMixer - Netlist-Level Circuit Evolution. - Stefan Uhlich; Andrea Bonetti; Arun Venkitaraman; Chia-Yu Hsieh; Mustafa Emre Gürsoy; Ryoga Matsuo; Lorenzo Servadei (CoRR, 2025)

ELMAR: Enhancing LiDAR Detection with 4D Radar Motion Awareness and Cross-modal Uncertainty. - Xiangyuan Peng; Miao Tang; Huawei Sun; Kay Bierzynski; Lorenzo Servadei; Robert Wille (CoRR, 2025)

Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition. - Sarah Seifi; Tobias Sukianto; Cecilia Carbonelli; Lorenzo Servadei; Robert Wille (CoRR, 2025)