| A survey of graph neural networks for electronic design automation DS Lopera, L Servadei, GN Kiprit, S Hazra, R Wille, W Ecker 2021 ACM/IEEE 3rd Workshop on Machine Learning for CAD (MLCAD), 1-6, 2021 | 42 | 2021 |
| A machine learning approach for area prediction of hardware designs from abstract specifications E Zennaro, L Servadei, K Devarajegowda, W Ecker 2018 21st Euromicro Conference on Digital System Design (DSD), 413-420, 2018 | 23 | 2018 |
| A comprehensive survey on electronic design automation and graph neural networks: Theory and applications D Sánchez, L Servadei, GN Kiprit, R Wille, W Ecker ACM Transactions on Design Automation of Electronic Systems 28 (2), 1-27, 2023 | 18 | 2023 |
| Accurate cost estimation of memory systems utilizing machine learning and solutions from computer vision for design automation L Servadei, E Mosca, E Zennaro, K Devarajegowda, M Werner, W Ecker, ... IEEE Transactions on Computers 69 (6), 856-867, 2020 | 15 | 2020 |
| Embedded systems’ automation following omg’s model driven architecture vision W Ecker, K Devarajegowda, M Werner, Z Han, L Servadei 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 15 | 2019 |
| Rtl delay prediction using neural networks DS Lopera, L Servadei, VP Kasi, S Prebeck, W Ecker 2021 IEEE Nordic Circuits and Systems Conference (NorCAS), 1-7, 2021 | 13 | 2021 |
| Formal verification methodology in an industrial setup K Devarajegowda, L Servadei, Z Han, M Werner, W Ecker 2019 22nd Euromicro Conference on Digital System Design (DSD), 610-614, 2019 | 13 | 2019 |
| Label-aware ranked loss for robust people counting using automotive in-cabin radar L Servadei, H Sun, J Ott, M Stephan, S Hazra, T Stadelmayer, DS Lopera, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 12 | 2022 |
| Few-shot user-definable radar-based hand gesture recognition at the edge G Mauro, M Chmurski, L Servadei, M Pegalajar-Cuellar, ... IEEE Access 10, 29741-29759, 2022 | 10 | 2022 |
| Improving radar human activity classification using synthetic data with image transformation R Hernangómez, T Visentin, L Servadei, H Khodabakhshandeh, ... Sensors 22 (4), 1519, 2022 | 9 | 2022 |
| Cross-modal learning of graph representations using radar point cloud for long-range gesture recognition S Hazra, H Feng, GN Kiprit, M Stephan, L Servadei, R Wille, R Weigel, ... 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2022 | 8 | 2022 |
| Scene-adaptive radar tracking with deep reinforcement learning M Stephan, L Servadei, J Arjona-Medina, A Santra, R Wille, G Fischer Machine Learning with Applications 8, 100284, 2022 | 7 | 2022 |
| Accurate and robust malware detection: Running XGBoost on runtime data from performance counters R Elnaggar, L Servadei, S Mathur, R Wille, W Ecker, K Chakrabarty IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 7 | 2021 |
| Using machine learning for predicting area and firmware metrics of hardware designs from abstract specifications L Servadei, E Zennaro, T Fritz, K Devarajegowda, W Ecker, R Wille Microprocessors and Microsystems 71, 102853, 2019 | 7 | 2019 |
| Accurate cost estimation of memory systems inspired by machine learning for computer vision L Servadei, E Zennaro, K Devarajegowda, M Manzinger, W Ecker, R Wille 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 7 | 2019 |
| Medical monkeys: A crowdsourcing approach to medical big data L Servadei, R Schmidt, C Eidelloth, A Maier On the Move to Meaningful Internet Systems. OTM 2017 Workshops: Confederated …, 2018 | 7 | 2018 |
| Late Breaking Results From Hybrid Design Automation for Field-coupled Nanotechnologies S Hofmann, M Walter, L Servadei, R Wille 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-2, 2023 | 6 | 2023 |
| Utilizing explainable ai for improving the performance of neural networks H Sun, L Servadei, H Feng, M Stephan, A Santra, R Wille 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 5 | 2022 |
| Early RTL delay prediction using neural networks DS Lopera, L Servadei, S Prebeck, W Ecker Microprocessors and Microsystems 94, 104671, 2022 | 5 | 2022 |
| Deep reinforcement learning for optimization at early design stages L Servadei, JH Lee, JAA Medina, M Werner, S Hochreiter, W Ecker, ... IEEE Design & Test 40 (1), 43-51, 2022 | 5 | 2022 |
