Janis Mohr

According to our database, Janis Mohr authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Exploring Student Expectations and Confidence in Learning Analytics.

Hayk Asatryan, Basile Tousside, Janis Mohr, Malte Neugebauer, Hildo Bijl, Paul Spiegelberg, Claudia Frohn-Schauf, Jörg Frochte

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Classification of Shared Tasks Used in Teaching.

Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, Martin Potthast

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Efficient Learning Processes by Design: Analysis of Usage Patterns in Differently Designed Digital Self-Learning Environments.

Malte Neugebauer, Ralf Erlebach, Christof Kaufmann, Janis Mohr, Jörg Frochte

Proceedings of the 16th International Conference on Computer Supported Education, 2024

2023

Multiple Additive Neural Networks: A Novel Approach to Continuous Learning in Regression and Classification.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Shared Tasks as Tutorials: A Methodical Approach.

Theresa Elstner, Frank Loebe, Yamen Ajjour, Christopher Akiki, Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Nikolay Kolyada, Janis Mohr, Stephan Sandfuchs, Matti Wiegmann, Jörg Frochte, Nicola Ferro, Sven Hofmann, Benno Stein, Matthias Hagen, Martin Potthast

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Group and Exclusive Sparse Regularization-based Continual Learning of CNNs.

Basile Tousside, Janis Mohr, Jörg Frochte

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

An Approach to One-shot Identification with Neural Networks.

Janis Mohr, Finn Breidenbach, Jörg Frochte

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

Explainability and Continuous Learning with Capsule Networks.

Janis Mohr, Basile Tousside, Marco Schmidt, Jörg Frochte

Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

2020

A Learning Approach for Optimizing Robot Behavior Selection Algorithm.

Basile Tousside, Janis Mohr, Marco Schmidt, Jörg Frochte

Proceedings of the Intelligent Robotics and Applications - 13th International Conference, 2020