( en | de | ru )

 

Disambiguation of "Wollstadt, Patricia"

Author of the publication

copydeleteadd this publication to your clipboard
Feature Visualization for 3D Point Cloud Autoencoders.

, , , , , and . IJCNN, page 1-9. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Patricia Wollstadt

Michael Wollstadt

Michael Wollstadt

Anja Wollstadt

Michael Wollstadt

 

Other publications of authors with the same name

A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition., , and . J. Mach. Learn. Res., (2023)Quantifying the predictability of visual scanpaths using active information storage., , and . CoRR, (2020)The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction., , and . SSCI, page 1460-1468. IEEE, (2020)Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation., , , , , and . CoRR, (2023)CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications., , , , , and . IEEE Trans. Evol. Comput., 26 (6): 1221-1235 (2022)Who's in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles., , , , and . HCI (38), volume 14048 of Lecture Notes in Computer Science, page 131-143. Springer, (2023)Enhancing Trust in Smart Charging Agents - The Role of Traceability for Human-Agent-Cooperation., , , , , , and . HCI (53), volume 14059 of Lecture Notes in Computer Science, page 313-324. Springer, (2023)Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks., , , , , , , and . ICDM Workshops, page 785-792. IEEE, (2019)Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing., , , , and . CoRR, (2019)Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders., , , , , and . CEC, page 514-521. IEEE, (2021)