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2020 – today
- 2024
[c5]Jihene Bouhlila, Felix Last, Rainer Buchty, Mladen Berekovic, Saleh Mulhem:
Machine Learning for SRAM Stability Analysis. ISCAS 2024: 1-5- 2023
- [j3]Felix Last
, Ulf Schlichtmann:
Training PPA Models for Embedded Memories on a Low-data Diet. ACM Trans. Design Autom. Electr. Syst. 28(2): 26:1-26:24 (2023) - 2022
- [c4]Felix Last, Ceren Yeni, Ulf Schlichtmann:
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. ASP-DAC 2022: 506-512 - 2021
- [c3]Felix Last, Ulf Schlichtmann:
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. MLCAD 2021: 1-6 - [i3]Felix Last, Ceren Yeni, Ulf Schlichtmann:
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. CoRR abs/2109.09502 (2021) - 2020
- [j2]Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks. ACM Trans. Design Autom. Electr. Syst. 25(5): 39:1-39:19 (2020) - [c2]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044 - [c1]Felix Last, Ulf Schlichtmann:
Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. MLCAD 2020: 123-128 - [i2]Felix Last, Max Haeberlein, Ulf Schlichtmann:
Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks. CoRR abs/2003.03269 (2020)
2010 – 2019
- 2018
- [j1]Georgios Douzas, Fernando Bação, Felix Last:
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. Inf. Sci. 465: 1-20 (2018) - 2017
- [i1]Felix Last, Georgios Douzas, Fernando Bação:
Oversampling for Imbalanced Learning Based on K-Means and SMOTE. CoRR abs/1711.00837 (2017)
Coauthor Index
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