Nina Holzer

According to our database, Nina Holzer authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Electronic Library for Commercially Usable Emotional Stimuli (EL-CUES): An Annotated Image Database for Emotion Induction Validated in a German Population.

Moritz Engelhardt, Nina Holzer, Jaspar Pahl, Jessica Freiherr

IEEE Trans. Affect. Comput., 2025

2024

Evaluating the robustness of multimodal task load estimation models.

Andreas Foltyn, Jessica Deuschel, Nadine R. Lang-Richter, Nina Holzer, Maximilian P. Oppelt

Frontiers Comput. Sci., 2024

2023

An adaptive binary particle swarm optimization for solving multi-objective convolutional filter pruning problem.

Shrutika S. Sawant, F. X. Erick, Stephan Göb, Nina Holzer, Elmar W. Lang, Theresa Götz

J. Supercomput., August, 2023

ADABase: A Multimodal Dataset for Cognitive Load Estimation.

Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier, Seung Hee Yang

Sensors, 2023

Self-supervised representation learning using multimodal Transformer for emotion recognition.

Theresa Götz, Pulkit Arora, F. X. Erick, Nina Holzer, Shrutika S. Sawant

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

Bio-Signal Based Multimodal Fusion with Bilinear Model for Emotion Recognition.

Ashutosh Singh, Nina Holzer, Theresa Götz, Thomas Wittenberg, Stephan Göb, Shrutika S. Sawant, Muhammad-Momin Salman, Jaspar Pahl

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Transformer-based Self-supervised Representation Learning for Emotion Recognition Using Bio-signal Feature Fusion.

Shrutika S. Sawant, F. X. Erick, Pulkit Arora, Jaspar Pahl, Andreas Foltyn, Nina Holzer, Theresa Götz

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, ACII 2023, 2023

2022

An optimal-score-based filter pruning for deep convolutional neural networks.

Shrutika S. Sawant, Johannes C. Bauer, F. X. Erick, Subodh Ingaleshwar, Nina Holzer, A. Ramming, Elmar W. Lang, Theresa Götz

Appl. Intell., 2022

A Simple and Effective Convolutional Filter Pruning based on Filter Dissimilarity Analysis.

F. X. Erick, Shrutika S. Sawant, Stephan Göb, Nina Holzer, Elmar W. Lang, Theresa Götz

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022