Magdalena Fuchs

According to our database, Magdalena Fuchs authored at least 7 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Predicting individual differences in digital alcohol intervention effectiveness through multimodal data.

Magdalena Fuchs, Zachary M. Boyd, Alice C. Schwarze, Danielle Cosme, Ovidia Stanoi, Yoona Kang, Tobias Kowatsch, Florian von Wangenheim, Dani S. Bassett, Kevin N. Ochsner, David M. Lydon-Staley, Emily B. Falk, Peter J. Mucha, Mia Jovanova

npj Digit. Medicine, 2026

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint).

Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent.

Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Moser

J. Artif. Intell. Res., 2025

2024

Risk Assessment in AI System Engineering: Experiences and Lessons Learned from a Practitioner's Perspective.

Magdalena Fuchs, Lukas Fischer, Alessio Montuoro, Mohit Kumar, Bernhard Alois Moser

Proceedings of the Database and Expert Systems Applications - DEXA 2024 Workshops, 2024

2017

Searching for Biophysically Realistic Parameters for Dynamic Neuron Models by Genetic Algorithms from Calcium Imaging Recording.

Magdalena Fuchs, Manuel Zimmer, Radu Grosu, Ramin M. Hasani

CoRR, 2017

Non-Associative Learning Representation in the Nervous System of the Nematode Caenorhabditis elegans.

Ramin M. Hasani, Magdalena Fuchs, Victoria Beneder, Radu Grosu

CoRR, 2017

SIM-CE: An Advanced Simulink Platform for Studying the Brain of Caenorhabditis elegans.

Ramin M. Hasani, Victoria Beneder, Magdalena Fuchs, David Lung, Radu Grosu

CoRR, 2017