Skip to content

Commit a038f28

Browse files
simonmandliksimonmandlik
committed
updated citations
1 parent 57c65bf commit a038f28

File tree

2 files changed

+85
-45
lines changed

2 files changed

+85
-45
lines changed

‎README.md‎

Lines changed: 43 additions & 23 deletions
Original file line numberDiff line numberDiff line change
@@ -38,29 +38,49 @@ Julia v1.9 or later is required.
3838

3939
## Citation
4040

41-
For citing, please use the following entry for the [original paper](https://jmlr.org/papers/v23/21-0174.html):
42-
```
43-
@article{Mandlik2021,
44-
author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný},
45-
title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data},
46-
journal = {Journal of Machine Learning Research},
47-
year = {2022},
48-
volume = {23},
49-
number = {298},
50-
pages = {1--5},
51-
url = {http://jmlr.org/papers/v23/21-0174.html}
52-
}
53-
```
54-
55-
and the following for this implementation (fill in the used `version`):
56-
```
57-
@software{Mill,
58-
author = {Tomas Pevny and Simon Mandlik},
59-
title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning},
60-
url = {https://github.com/CTUAvastLab/Mill.jl},
61-
version = {...},
62-
}
63-
```
41+
Kindly cite our work with the following entries if you find it interesting, please:
42+
43+
* [*JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON
44+
data*](https://jmlr.org/papers/v23/21-0174.html)
45+
46+
```
47+
@article{Mandlik2021,
48+
author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný},
49+
title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data},
50+
journal = {Journal of Machine Learning Research},
51+
year = {2022},
52+
volume = {23},
53+
number = {298},
54+
pages = {1--5},
55+
url = {http://jmlr.org/papers/v23/21-0174.html}
56+
}
57+
```
58+
59+
* [*Malicious Internet Entity Detection Using Local Graph
60+
Inference*](https://ieeexplore.ieee.org/document/10418120) (practical `Mill.jl` application)
61+
62+
```
63+
@article{Mandlik2024,
64+
author = {Mandlík, Šimon and Pevný, Tomáš and Šmídl, Václav and Bajer, Lukáš},
65+
journal = {IEEE Transactions on Information Forensics and Security},
66+
title = {Malicious Internet Entity Detection Using Local Graph Inference},
67+
year = {2024},
68+
volume = {19},
69+
pages = {3554-3566},
70+
doi = {10.1109/TIFS.2024.3360867}
71+
}
72+
```
73+
74+
* this implementation (fill in the used `version`):
75+
76+
```
77+
@software{Mill,
78+
author = {Tomas Pevny and Simon Mandlik},
79+
title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning},
80+
url = {https://github.com/CTUAvastLab/Mill.jl},
81+
version = {...},
82+
}
83+
```
6484

6585
## Contribution guidelines
6686

‎docs/src/citation.md‎

Lines changed: 42 additions & 22 deletions
Original file line numberDiff line numberDiff line change
@@ -1,25 +1,45 @@
11
# Citation
22

3-
For citing, please use the following entry for the [original paper](https://jmlr.org/papers/v23/21-0174.html):
4-
```
5-
@article{Mandlik2021,
6-
author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný},
7-
title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data},
8-
journal = {Journal of Machine Learning Research},
9-
year = {2022},
10-
volume = {23},
11-
number = {298},
12-
pages = {1--5},
13-
url = {http://jmlr.org/papers/v23/21-0174.html}
14-
}
15-
```
3+
Kindly cite our work with the following entries if you find it interesting, please:
164

17-
and the following for the implementation (fill in the used `version`):
18-
```
19-
@software{mill2018,
20-
author = {Tomas Pevny and Simon Mandlik},
21-
title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning},
22-
url = {https://github.com/CTUAvastLab/Mill.jl},
23-
version = {...},
24-
}
25-
```
5+
* [*JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON
6+
data*](https://jmlr.org/papers/v23/21-0174.html)
7+
8+
```
9+
@article{Mandlik2021,
10+
author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný},
11+
title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data},
12+
journal = {Journal of Machine Learning Research},
13+
year = {2022},
14+
volume = {23},
15+
number = {298},
16+
pages = {1--5},
17+
url = {http://jmlr.org/papers/v23/21-0174.html}
18+
}
19+
```
20+
21+
* [*Malicious Internet Entity Detection Using Local Graph
22+
Inference*](https://ieeexplore.ieee.org/document/10418120) (practical `Mill.jl` application)
23+
24+
```
25+
@article{Mandlik2024,
26+
author = {Mandlík, Šimon and Pevný, Tomáš and Šmídl, Václav and Bajer, Lukáš},
27+
journal = {IEEE Transactions on Information Forensics and Security},
28+
title = {Malicious Internet Entity Detection Using Local Graph Inference},
29+
year = {2024},
30+
volume = {19},
31+
pages = {3554-3566},
32+
doi = {10.1109/TIFS.2024.3360867}
33+
}
34+
```
35+
36+
* this implementation (fill in the used `version`):
37+
38+
```
39+
@software{Mill,
40+
author = {Tomas Pevny and Simon Mandlik},
41+
title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning},
42+
url = {https://github.com/CTUAvastLab/Mill.jl},
43+
version = {...},
44+
}
45+
```

0 commit comments

Comments
 (0)