Kathleen Anderson

According to our database, Kathleen Anderson authored at least 4 papers between 2023 and 2026.

Collaborative distances:

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

2026

Nearest-Neighbor Density Estimation for Dependency Suppression.

Kathleen Anderson, Thomas Martinetz

CoRR, March, 2026

2024

Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations.

Kathleen Anderson, Thomas Martinetz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Enacting Data Feminism in Advocacy Data Work.

Shiva Darian, Aarjav Chauhan, Ricky Marton, Janet Ruppert, Kathleen Anderson, Ryan Clune, Madeline Cupchak, Max Gannett, Joel Holton, Elizabeth Kamas, Jason Kibozi-Yocka, Devin Mauro-Gallegos, Simon Naylor, Meghan O'Malley, Mehul Patel, Jack Sandberg, Troy Siegler, Ryan Tate, Abigil Temtim, Samantha Whaley, Amy Voida

Proc. ACM Hum. Comput. Interact., April, 2023

Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks.

Kathleen Anderson, Philipp Grüning, Erhardt Barth

Proceedings of the International Joint Conference on Neural Networks, 2023