Felix Last

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Transfer Learning

Computational Intelligence

Multiobjective Optimization

Medical Image Segmentation

Top Venues

ACM Trans. Design Autom. Electr. Syst.

Publications

Jihene Bouhlila, Felix Last, Rainer Buchty, Mladen Berekovic, Saleh Mulhem
Machine Learning for SRAM Stability Analysis. ISCAS (2024)
Felix Last, Ulf Schlichtmann
Training PPA Models for Embedded Memories on a Low-data Diet. ACM Trans. Design Autom. Electr. Syst. 28 (2) (2023)
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)
Felix Last, Ceren Yeni, Ulf Schlichtmann
Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. CoRR (2021)
Felix Last, Ulf Schlichtmann
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. MLCAD (2021)
Felix Last, Ulf Schlichtmann
Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. MLCAD (2020)
Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
Human-Machine Collaboration for Medical Image Segmentation. ICASSP (2020)
Felix Last, Max Haeberlein, Ulf Schlichtmann
Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks. ACM Trans. Design Autom. Electr. Syst. 25 (5) (2020)
Felix Last, Max Haeberlein, Ulf Schlichtmann
Predicting Memory Compiler Performance Outputs using Feed-Forward Neural Networks. CoRR (2020)
Georgios Douzas, Fernando Bação, Felix Last
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. Inf. Sci. 465 (2018)
Felix Last, Georgios Douzas, Fernando Bação
Oversampling for Imbalanced Learning Based on K-Means and SMOTE. CoRR (2017)