E-LIB Suche - Ergebnisse für: Bauerle, Alex

1

VegaProf: Profiling Vega Visualizations:

, In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology,

Yang, Junran ; Bäuerle, Alex ; Moritz, Dominik. - p. 1-11 , 2023

Link: https://dl.acm.org/doi/1..

2

Symphony: Composing Interactive Interfaces for Machine Lear..:

, In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems,

Bäuerle, Alex ; Cabrera, Ángel Alexander ; Hohman, Fred... - p. 1-14 , 2022

Link: https://dl.acm.org/doi/1..

3

exploRNN: teaching recurrent neural networks through visual..:

Bäuerle, Alex ; Albus, Patrick ; Störk, Raphael..
The Visual Computer. 39 (2022) 9 - p. 4323-4338 , 2022

Link: https://doi.org/10.1007/..

4

Measuring Model Biases in the Absence of Ground Truth:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,

Aka, Osman ; Burke, Ken ; Bauerle, Alex.. - p. 327-335 , 2021

Link: https://dl.acm.org/doi/1..

5

Net2Vis – A Visual Grammar for Automatically Generating Pub..:

Bauerle, Alex ; van Onzenoodt, Christian ; Ropinski, Timo
IEEE Transactions on Visualization and Computer Graphics. 27 (2021) 6 - p. 2980-2991 , 2021

Link: https://doi.org/10.1109/..

6

Automatic identification of crossovers in cryo‐EM images of..:

WEBER, MATTHIAS ; BÄUERLE, ALEX ; SCHMIDT, MATTHIAS...
Journal of Microscopy. 277 (2019) 1 - p. 12-22 , 2019

Link: https://doi.org/10.1111/..

7

Visualization-based neural network introspection:

Bäuerle, Alex
Bäuerle, A., Neumann, H. and Ropinski, T. (2020), Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Computer Graphics Forum, 39: 195-205. https://doi.org/10.1111/cgf.13973. , 2023

Link: https://doi.org/10.18725..

8

An In-depth Look at Gemini's Language Abilities:

Akter, Syeda Nahida ; Yu, Zichun ; Muhamed, Aashiq...
http://arxiv.org/abs/2312.11444. , 2023

Link: http://arxiv.org/abs/231..

9

exploRNN: teaching recurrent neural networks through visual..:

Bäuerle, Alex ; Albus, Patrick ; Störk, Raphael..
http://dx.doi.org/10.18725/OPARU-47219. , 2023

Link: https://doi.org/10.18725..

10

Neural Activation Patterns (NAPs): Visual Explainability of..:

Bäuerle, Alex ; Jönsson, Daniel ; Ropinski, Timo
http://arxiv.org/abs/2206.10611. , 2022

Link: http://arxiv.org/abs/220..

11

Automatic identification of crossovers in cryo‐EM images of..:

Weber, Matthias ; Bäuerle, Alex ; Schmidt, Matthias...
http://dx.doi.org/10.18725/OPARU-44251. , 2022

Link: https://doi.org/10.18725..

12

Symphony: Composing Interactive Interfaces for Machine Lear..:

Bäuerle, Alex ; Cabrera, Ángel Alexander ; Hohman, Fred...
http://arxiv.org/abs/2202.08946. , 2022

Link: http://arxiv.org/abs/220..

13

Classifier‐Guided Visual Correction of Noisy Labels for Ima..:

Bäuerle, Alex ; Neumann, Heiko ; Ropinski, Timo
http://dx.doi.org/10.18725/OPARU-43002. , 2022

Link: https://doi.org/10.18725..

14

VegaProf: Profiling Vega Visualizations:

Yang, Junran ; Bäuerle, Alex ; Moritz, Dominik.
http://arxiv.org/abs/2212.13670. , 2022

Link: http://arxiv.org/abs/221..

15

Visual Identification of Problematic Bias in Large Label Sp..:

Bäuerle, Alex ; Turker, Aybuke Gul ; Burke, Ken...
http://arxiv.org/abs/2201.06386. , 2022

Link: http://arxiv.org/abs/220..