Oversampling for Imbalanced Learning Based on K-Means and SMOTE. - Felix Last; Georgios Douzas; Fernando Bação (CoRR, 2017)

Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE. - Georgios Douzas; Fernando Bação; Felix Last (Inf. Sci., 2018)

Human-Machine Collaboration for Medical Image Segmentation. - Mahdyar Ravanbakhsh; Vadim Tschernezki; Felix Last; Tassilo Klein; Kayhan Batmanghelich; Volker Tresp; Moin Nabi (ICASSP, 2020)

Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. - Felix Last; Ulf Schlichtmann (MLCAD, 2020)

Predicting Memory Compiler Performance Outputs Using Feed-forward Neural Networks. - Felix Last; Max Haeberlein; Ulf Schlichtmann (ACM Trans. Design Autom. Electr. Syst., 2020)

Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. - Felix Last; Ulf Schlichtmann (MLCAD, 2021)

Differentially Evolving Memory Ensembles: Pareto Optimization based on Computational Intelligence for Embedded Memories on a System Level. - Felix Last; Ceren Yeni; Ulf Schlichtmann (ASP-DAC, 2022)

Training PPA Models for Embedded Memories on a Low-data Diet. - Felix Last; Ulf Schlichtmann (ACM Trans. Design Autom. Electr. Syst., 2023)

Machine Learning for SRAM Stability Analysis. - Jihene Bouhlila; Felix Last; Rainer Buchty; Mladen Berekovic; Saleh Mulhem (ISCAS, 2024)