Early stopping in deep networks: Double descent and how to eliminate it R Heckel, FF Yilmaz arXiv preprint arXiv:2007.10099, 2020 | 49 | 2020 |
Regularization-wise double descent: Why it occurs and how to eliminate it FF Yilmaz, R Heckel 2022 IEEE International Symposium on Information Theory (ISIT), 426-431, 2022 | 15 | 2022 |
Key performance indicators for a capability-based application portfolio management PA Khosroshahi, J Beese, F Yilmaz, F Matthes, R Winter 2017 IEEE 21st International Enterprise Distributed Object Computing …, 2017 | 9 | 2017 |
Process and tool support for integration of privacy aspects in agile software engineering D Huth, A Both, J Ahmad, G Sauer, F Yilmaz, F Matthes | 7 | 2020 |
Image recognition from raw labels collected without annotators FF Yilmaz, R Heckel arXiv preprint arXiv:1910.09055, 2019 | 7 | 2019 |
Why would enterprise architects work together?-a multiple case study F Yilmaz, D Akdemir, F Matthes | 4 | 2020 |
Tool Support for Capability-Based Application Portfolio Management-Conceptualization, Prototype Implementation, and Evaluation F Yilmaz Masters Thesis, Technical University of Munich, 2016 | 4 | 2016 |
Deriving a Process for Interorganizational Business Capability Modeling through Case Study Analysis. F Yilmaz, J Feldmeier, F Matthes ICEIS (2), 673-680, 2021 | 2 | 2021 |
Interorganizational Business Capability Maps: Use Cases for Horizontal Collaboration. F Yilmaz, O Schmidt, F Matthes AMCIS, 2021 | 2 | 2021 |
Investigating the Challenges of European Public Service Media Companies from an Enterprise Architecture Point of View F Yilmaz, F Matthes 2019 IEEE 23rd International Enterprise Distributed Object Computing …, 2019 | 1 | 2019 |
Application and Development of Business Capability Maps in Horizontal Collaborations F Yilmaz Technische Universität München, 2023 | | 2023 |
Test-time recalibration of conformal predictors under distribution shift based on unlabeled examples FF Yilmaz, R Heckel arXiv preprint arXiv:2210.04166, 2022 | | 2022 |
Test-time Recalibration of Conformal Predictors Under Distribution Shift Based on Unlabeled Examples F Furkan Yilmaz, R Heckel arXiv e-prints, arXiv: 2210.04166, 2022 | | 2022 |
Regularization-wise double descent: Why it occurs and how to eliminate it F Furkan Yilmaz, R Heckel arXiv e-prints, arXiv: 2206.01378, 2022 | | 2022 |
Image recognition from raw labels collected without annotators F Furkan Yilmaz, R Heckel arXiv e-prints, arXiv: 1910.09055, 2019 | | 2019 |
Leveraging inductive bias of neural networks for learning without explicit human annotations FF Yilmaz, R Heckel | | 2019 |
Key Performance Indicators for a Capability-Based Application Portfolio Management P Aleatrati Khosroshahi, J Beese, F Yilmaz, F Matthes, R Winter | | 2017 |