improve presentation

presentation/sources.bib

@@ -1,16 +1,20 @@
-@InProceedings{Xu_2022_CVPR,
-    author    = {Xu, Yinghao and Wei, Fangyun and Sun, Xiao and Yang, Ceyuan and Shen, Yujun and Dai, Bo and Zhou, Bolei and Lin, Stephen},
-    title     = {Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition},
-    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-    month     = {June},
-    year      = {2022},
-    pages     = {2959-2968}
-}
+@article{Rave_2025,
+    title={De-Cluttering Scatterplots With Integral Images},
+    volume={31},
+    ISSN={2160-9306},
+    url={http://dx.doi.org/10.1109/TVCG.2024.3381453},
+    DOI={10.1109/tvcg.2024.3381453},
+    number={4},
+    journal={IEEE Transactions on Visualization and Computer Graphics},
+    publisher={Institute of Electrical and Electronics Engineers (IEEE)},
+    author={Rave, Hennes and Molchanov, Vladimir and Linsen, Lars},
+    year={2025},
+    month=apr, pages={2114–2126} }
 
-@online{knuthwebsite,
-    author = "Kihyuk Sohn, David Berthelot, Chun-Liang Li",
-    title = "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence",
-    url  = "https://arxiv.org/abs/2001.07685",
-    addendum = "(accessed: 20.03.2023)",
-    keywords = "FixMatch, semi-supervised"
+@online{statisticsglobe_overplotting_r,
+    author       = {Statistics Globe},
+    title        = {Avoid Overplotting in R (4 Examples) | Point Size, Opacity \& Color},
+    year         = {2025},
+    url          = {https://statisticsglobe.com/avoid-overplotting-r},
+    note         = {Accessed: 2025-11-23}
 }