Bio-Inspired Modeling & Learning Systems
"Intelligence is based on learning"
- Bio-inspired algorithms and neural networks
- Human in the loop machine learning
- Modeling of complex systems
- Self-learning systems for real world applications
- Forecasting methodologies
Schilling, Frank-Peter; Stadelmann, Thilo, eds. ,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Lecture Notes in Computer Science ; 12294.
Available from : https://doi.org/10.21256/zhaw-20524
Uwate, Yoko; Takamaru, Yuji; Ott, Thomas ; Nishio, Yoshifumi,
International Journal of Bifurcation and Chaos.
Available from : https://doi.org/10.1142/S0218127419500536
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds. ,
Applied data science : lessons learned for the data-driven business.
Available from : https://doi.org/10.1007/978-3-030-11821-1_20
Frontiers in Artificial Intelligence.
Available from : https://doi.org/10.21256/zhaw-18487
The 26th Nonlinear Dynamics of Electronic Systems Conference, (NDES 2018), Acireale, 11-13 June 2018.
Detection of drone signals
Prototypes for the Sustainable Digitisation of University Teaching
The COVID-19 Pandemy has forced higher education into fast forwarding their digitisation across the board. This creates valuable and relevant information for the sustainable digitization beyond the crisis mode. The project structures evidence-based digital teaching exsperiences and digital competences at the ...