From 5afbed824addac75c6440fdb2078712bb69d439a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C5=A0imon=20Mandl=C3=ADk?= Date: Thu, 6 Jun 2024 18:50:31 +0200 Subject: [PATCH] updated citations --- README.md | 67 +++++++++++++++++++++++++++++--------------- docs/src/citation.md | 65 +++++++++++++++++++++++++++--------------- 2 files changed, 87 insertions(+), 45 deletions(-) diff --git a/README.md b/README.md index 16122548..97ffe663 100644 --- a/README.md +++ b/README.md @@ -38,29 +38,50 @@ Julia v1.9 or later is required. ## Citation -For citing, please use the following entry for the [original paper](https://jmlr.org/papers/v23/21-0174.html): -``` -@article{Mandlik2021, - author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný}, - title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data}, - journal = {Journal of Machine Learning Research}, - year = {2022}, - volume = {23}, - number = {298}, - pages = {1--5}, - url = {http://jmlr.org/papers/v23/21-0174.html} -} -``` - -and the following for this implementation (fill in the used `version`): -``` -@software{Mill, - author = {Tomas Pevny and Simon Mandlik}, - title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning}, - url = {https://github.com/CTUAvastLab/Mill.jl}, - version = {...}, -} -``` +Kindly cite our work with the following entries if you find it interesting, please: + +* [*JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON + data*](https://jmlr.org/papers/v23/21-0174.html) + + ``` + @article{Mandlik2021, + author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný}, + title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data}, + journal = {Journal of Machine Learning Research}, + year = {2022}, + volume = {23}, + number = {298}, + pages = {1--5}, + url = {http://jmlr.org/papers/v23/21-0174.html} + } + ``` + +* [*Malicious Internet Entity Detection Using Local Graph + Inference*](https://ieeexplore.ieee.org/document/10418120) (practical `Mill.jl` application) + + ``` + @article{Mandlik2024, + author = {Mandlík, Šimon and Pevný, Tomáš and Šmídl, Václav and Bajer, Lukáš}, + journal = {IEEE Transactions on Information Forensics and Security}, + title = {Malicious Internet Entity Detection Using Local Graph Inference}, + year = {2024}, + volume = {19}, + number = {}, + pages = {3554-3566}, + doi = {10.1109/TIFS.2024.3360867} + } + ``` + +* this implementation (fill in the used `version`): + + ``` + @software{Mill, + author = {Tomas Pevny and Simon Mandlik}, + title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning}, + url = {https://github.com/CTUAvastLab/Mill.jl}, + version = {...}, + } + ``` ## Contribution guidelines diff --git a/docs/src/citation.md b/docs/src/citation.md index ec5c97f4..d554420e 100644 --- a/docs/src/citation.md +++ b/docs/src/citation.md @@ -1,25 +1,46 @@ # Citation -For citing, please use the following entry for the [original paper](https://jmlr.org/papers/v23/21-0174.html): -``` -@article{Mandlik2021, - author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný}, - title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data}, - journal = {Journal of Machine Learning Research}, - year = {2022}, - volume = {23}, - number = {298}, - pages = {1--5}, - url = {http://jmlr.org/papers/v23/21-0174.html} -} -``` +Kindly cite our work with the following entries if you find it interesting, please: -and the following for the implementation (fill in the used `version`): -``` -@software{mill2018, - author = {Tomas Pevny and Simon Mandlik}, - title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning}, - url = {https://github.com/CTUAvastLab/Mill.jl}, - version = {...}, -} -``` +* [*JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON + data*](https://jmlr.org/papers/v23/21-0174.html) + + ``` + @article{Mandlik2021, + author = {Šimon Mandlík and Matěj Račinský and Viliam Lisý and Tomáš Pevný}, + title = {JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data}, + journal = {Journal of Machine Learning Research}, + year = {2022}, + volume = {23}, + number = {298}, + pages = {1--5}, + url = {http://jmlr.org/papers/v23/21-0174.html} + } + ``` + +* [*Malicious Internet Entity Detection Using Local Graph + Inference*](https://ieeexplore.ieee.org/document/10418120) (practical `Mill.jl` application) + + ``` + @article{Mandlik2024, + author = {Mandlík, Šimon and Pevný, Tomáš and Šmídl, Václav and Bajer, Lukáš}, + journal = {IEEE Transactions on Information Forensics and Security}, + title = {Malicious Internet Entity Detection Using Local Graph Inference}, + year = {2024}, + volume = {19}, + number = {}, + pages = {3554-3566}, + doi = {10.1109/TIFS.2024.3360867} + } + ``` + +* this implementation (fill in the used `version`): + + ``` + @software{Mill, + author = {Tomas Pevny and Simon Mandlik}, + title = {Mill.jl framework: a flexible library for (hierarchical) multi-instance learning}, + url = {https://github.com/CTUAvastLab/Mill.jl}, + version = {...}, + } + ```