| 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 | 17 | 2018 |
| 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 | 11 | 2019 |
| 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 | 11 | 2019 |
| 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 | 7 | 2020 |
| 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 | 6 | 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 | 6 | 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 | 6 | 2019 |
| Medical monkeys: a crowdsourcing approach to medical big data L Servadei, R Schmidt, C Eidelloth, A Maier OTM Confederated International Conferences" On the Move to Meaningful …, 2017 | 6 | 2017 |
| Cost optimization at early stages of design using deep reinforcement learning L Servadei, J Zheng, J Arjona-Medina, M Werner, V Esen, S Hochreiter, ... Proceedings of the 2020 ACM/IEEE Workshop on Machine Learning for CAD, 37-42, 2020 | 4 | 2020 |
| Artificial neural network for supporting medical decision making: a decision model and notation approach to spondylolisthesis and disk hernia L Servadei, R Schmidt, F Bär OTM Confederated International Conferences" On the Move to Meaningful …, 2016 | 4 | 2016 |
| Deep Reinforcement Learning for Optimization at Early Design Stages L Servadei, JH Lee, JAA Medina, M Werner, S Hochreiter, W Ecker, ... IEEE Design & Test, 2022 | 2 | 2022 |
| Marketing Strategies for the Development of Wind Jet: Investments on Intercontinental Routes L Servadei Hochschule für angewandte Wissenschaften Hamburg, 2011 | 2 | 2011 |
| 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| Cost estimation for configurable model-driven SoC designs using machine learning L Servadei, E Mosca, K Devarajegowda, M Werner, W Ecker, R Wille Proceedings of the 2020 on Great Lakes Symposium on VLSI, 405-410, 2020 | 1 | 2020 |
| Methods of statistical analysis and machine learning for the evaluation of generated hardware and firmware designs L Servadei, J Yang Advances in Integrations of Intelligent Methods, 99-119, 2020 | 1 | 2020 |
| Combining evolutionary algorithms and deep learning for hardware/software interface optimization L Servadei, E Mosca, M Werner, V Esen, R Wille, W Ecker 2019 ACM/IEEE 1st Workshop on Machine Learning for CAD (MLCAD), 1-6, 2019 | 1 | 2019 |
| Quality Assessment of Generated Hardware Designs Using Statistical Analysis and Machine Learning. L Servadei, E Zennaro, K Devarajegowda, W Ecker, R Wille CIMA@ ICTAI, 14-27, 2018 | 1 | 2018 |
| 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, ... arXiv preprint arXiv:2203.17066, 2022 | | 2022 |
