A mathematical model for optimum error-reject trade-off for learning of secure classification models in the presence of label noise during training. International Conference on Artificial Intelligence and Soft Computing, 547--554, 2020. [PUMA: classification error-reject label noise optimum trade-off]
The LVQ-based Counter Propagation Network-an Interpretable Information Bottleneck Approach.. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2021. [PUMA: Bottleneck Information Interpretable LVQ Theory classification networks]
Site-Specific Load Profile Simulation of Public EV Charging Points Based on Land Use Classification. October 2025. [PUMA: Based Charging Classification EV Land Load Points Profile Public Simulation Site-Specific Use of on]
Assessment of UHF Frequency Range for Failure Classification in Power Transformers.. Sensors 2024, (24. Jg)15:5056, 2024. [PUMA: Assessment Classification Failure Frequency Power Range Transformers UHF for in of]
Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA.. Energies 2023, (16)3714April 2023. [PUMA: Assessment Classification Condition FRA Fault Forest Random Transformer Using Winding]
Toward Research Software Engineering Research. Zenodo, 2023. [PUMA: classification forschungsdaten metadata software] URL
Decoding Mental Effort in a Quasi-Realistic Scenario: A Feasibility Study on Multimodal Data Fusion and Classification. Sensors, (23)142023. [PUMA: ML classification effort fNIRS llis multimodal myown] URL
Classification of Partial Discharge Sources in HVDC Gas Insulated Switchgear using Neural Networks. November 2022. [PUMA: Classification Discharge Gas HVDC Insulated Networks Neural Partial Sources Switchgear in of using]
Classification of Superimposed Partial Discharge Patterns.. Energies 2021, (14)2144April 2021. [PUMA: Classification Discharge Partial Patterns. Superimposed of]
Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults.. Measurement, (187)110292January 2021. [PUMA: Sensitivity analysis and classification components detection different extent faults. for function location of transfer transformer type,]
An Investigation on feature extraction and feature selection for power quality classification with high resolution and RMS data.. March 2021. [PUMA: An Investigation RMS and classification data. extraction feature for high on power quality resolution selection with]
„[E]in Vater, dächte ich, ist doch immer ein Vater“. Figurentypen und ihre Operationalisierung. Zeitschrift für digitale Geisteswissenschaften, (5)7December 2020. [PUMA: annotation classification cls myown] URL
Open Access Uptake in Germany 2010-18: Adoption in a diverse research landscape. 2020. [PUMA: Empirical German Open Scholarly access classification communication landscape oa publishing research study] URL
Open Access Uptake in Germany 2010-18: Adoption in a diverse research landscape. 2020. [PUMA: study Scholarly access Empirical German Open classification research oa publishing from:droessler communication landscape] URL
PQ classification by way of parallel computing - A sensitivity analysis for a real-time LSTM approach using waveform and RMS data. 2019. [PUMA: Analysis Classification LSTM Power Quality Sensitivity]
Learning Ontologies to Improve Text Clustering and Classification. From Data and Information Analysis to Knowledge Engineering, 334--341, Springer Berlin Heidelberg, 2006. [PUMA: myown from:jmueller 2006 clustering tau text ol testeintrag classification selected]
Learning Ontologies to Improve Text Clustering and Classification. From Data and Information Analysis to Knowledge Engineering, 334--341, Springer Berlin Heidelberg, 2006. [PUMA: 2222 classification clustering ol puma selected tau text]
Learning Ontologies to Improve Text Clustering and Classification. From Data and Information Analysis to Knowledge Engineering, 334--341, Springer Berlin Heidelberg, 2006. [PUMA: 2006 classification clustering myown ol puma rk selected tau test text]
Learning Ontologies to Improve Text Clustering and Classification. From Data and Information Analysis to Knowledge Engineering, 334--341, Springer Berlin Heidelberg, 2006. [PUMA: 2006 classification clustering myown ol selected tau text]
Adversarial Training for Satire Detection: Controlling for Confounding Variables. Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, USA, June 2019. [PUMA: adversarial classification myown neuralnetworks news satire] URL