add citation for explanation paper

CITATIONS.bib

@@ -1,3 +1,14 @@
+@article{bjorklund2023explaining
+ author = {Bj{\"o}rklund, Anton and Henelius, Andreas and Oikarinen, Emilia and Kallonen, Kimmo and Puolam{\"a}ki, Kai},
+ title = {Explaining any black box model using real data},
+ year = {2023},
+ journal = {Frontiers in Computer Science},
+ volume = {5},
+ url = {https://www.frontiersin.org/articles/10.3389/fcomp.2023.1143904},
+ doi = {10.3389/fcomp.2023.1143904},
+ issn = {2624-9898}
+}
+
 @article{bjorklund2022robust,
  title = {Robust regression via error tolerance},
  author = {Bj{\"o}rklund, Anton and Henelius, Andreas and Oikarinen, Emilia and Kallonen, Kimmo and Puolam{\"a}ki, Kai},

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2022 Anton Björklund, University of Helsinki
+Copyright (c) 2023 Anton Björklund, University of Helsinki
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -6,7 +6,7 @@
 [![License: MIT](https://img.shields.io/github/license/edahelsinki/slise)](https://github.com/edahelsinki/slise/blob/master/LICENSE)
 
 R implementation of the SLISE algorithm. The SLISE algorithm can be used for both robust regression and to explain outcomes from black box models. 
-For more details see the [original paper](https://rdcu.be/bVbda) or the [robust regression paper](https://rdcu.be/cFRHD). 
+For more details see the [conference paper](https://rdcu.be/bVbda), the [robust regression paper](https://rdcu.be/cFRHD) or the [local explanations paper](https://doi.org/10.3389/fcomp.2023.1143904). 
 Alternatively for a more informal overview see the [presentation](https://github.com/edahelsinki/slise/raw/master/pdfs/presentation.pdf), or the [poster](https://github.com/edahelsinki/slise/raw/master/pdfs/poster.pdf).
 Finally, there is also the [documentation](https://edahelsinki.github.io/slise).
 
@@ -21,6 +21,11 @@ Finally, there is also the [documentation](https://edahelsinki.github.io/slise).
 > Data Mining and Knowledge Discovery. 
 > https://doi.org/10.1007/s10618-022-00819-2 
 
+> *Björklund A., Henelius A., Oikarinen E., Kallonen K., Puolamäki K.* (2023) 
+> **Explaining any black box model using real data.**
+> Frontiers in Computer Science 5:1143904.
+> https://doi.org/10.3389/fcomp.2023.1143904
+
 
 ## The idea
 

_pkgdown.yml

@@ -8,22 +8,24 @@ template:
 navbar:
  bg: primary
  structure:
- left:  [reference]
+ left: [reference]
  right: [search, github]
 home:
  name: SLISE
  sidebar:
  structure: [links, license, community, citation, authors, dev]
  links:
- - text: Original paper
- href: https://rdcu.be/bVbda
- - text: Robust regression paper
- href: https://rdcu.be/cFRHD
- - text: Poster
- href: https://github.com/edahelsinki/slise/raw/master/pdfs/poster.pdf
- - text: Presentation
- href: https://github.com/edahelsinki/slise/raw/master/pdfs/presentation.pdf
- - text: Code reference
- href: reference/index.html
- - text: Python implementation
- href: https://edahelsinki.github.io/pyslise
+ - text: Original conference paper
+ href: https://rdcu.be/bVbda
+ - text: Robust regression paper
+ href: https://rdcu.be/cFRHD
+ - text: Local explanations paper
+ href: https://www.frontiersin.org/articles/10.3389/fcomp.2023.1143904
+ - text: Poster
+ href: https://github.com/edahelsinki/slise/raw/master/pdfs/poster.pdf
+ - text: Presentation
+ href: https://github.com/edahelsinki/slise/raw/master/pdfs/presentation.pdf
+ - text: Code reference
+ href: reference/index.html
+ - text: Python implementation
+ href: https://edahelsinki.github.io/pyslise

experiments/README.md

@@ -3,6 +3,6 @@
 The experiments for the papers have been moved into their own branches (so that the experiments are connected to the correct version of the library).
 You can find the corresponding experiments here:
 
-- The experiments for the [original conference paper](https://github.com/edahelsinki/slise/tree/conference_experiments/experiments) (2019).
-- The experiments for the [robust regression paper](https://github.com/edahelsinki/slise/tree/robust_regression_experiments/experiments) (2021).
-- The experiments for the [explanations paper](https://github.com/edahelsinki/slise/tree/explanation_experiments/experiments) (2023).
+- [*Sparse Robust Regression for Explaining Classifiers* (2019)](https://github.com/edahelsinki/slise/tree/conference_experiments/experiments).
+- [*Robust regression via error tolerance* (2022)](https://github.com/edahelsinki/slise/tree/robust_regression_experiments/experiments).
+- [*Explaining any black box model using real data* (2023)](https://github.com/edahelsinki/slise/tree/explanation_experiments/experiments).