Merge pull request #3 from MSD-IRIMAS/add-citation-and-papers-list

[ENH] Adding bibtex to readme as well as papers list that used mcm

Author: hadifawaz1999

README.md

@@ -1,6 +1,20 @@
 # Multi-Comparison Matrix (MCM)
 
-### This repository contains the software for our paper titled "An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set". This work has been done by [Ali Ismail-Fawaz](https://hadifawaz1999.github.io/), [Angus Dempster](https://dblp.uni-trier.de/pid/251/8985.html), [Chang Wei Tan](https://changweitan.com/), [Matthieu Herrmann](https://orcid.org/0000-0002-0074-470X), [Lynn Miller](https://au.linkedin.com/in/lynn-miller-bb1aa539), [Daniel Schmidt](https://research.monash.edu/en/persons/daniel-schmidt), [Stefano Berretti](http://www.micc.unifi.it/berretti/), [Jonathan Weber](https://www.jonathan-weber.eu/), [Maxime Devanne](https://maxime-devanne.com/), [Germain Forestier](https://germain-forestier.info/) and [Geoff I. Webb](https://i.giwebb.com/).
+### This repository contains the software for our paper titled "[An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set](https://arxiv.org/abs/2305.11921)". This work has been done by [Ali Ismail-Fawaz](https://hadifawaz1999.github.io/), [Angus Dempster](https://dblp.uni-trier.de/pid/251/8985.html), [Chang Wei Tan](https://changweitan.com/), [Matthieu Herrmann](https://orcid.org/0000-0002-0074-470X), [Lynn Miller](https://au.linkedin.com/in/lynn-miller-bb1aa539), [Daniel Schmidt](https://research.monash.edu/en/persons/daniel-schmidt), [Stefano Berretti](http://www.micc.unifi.it/berretti/), [Jonathan Weber](https://www.jonathan-weber.eu/), [Maxime Devanne](https://maxime-devanne.com/), [Germain Forestier](https://germain-forestier.info/) and [Geoff I. Webb](https://i.giwebb.com/).
+
+## Papers Using the MCM:
+
+1. Middlehurst et al. 2024 "[Bake off redux: a review and experimental evaluation of recent time series classification algorithms](https://link.springer.com/article/10.1007/s10618-024-01022-1)" Data Mining and Knowledge Discovery
+2. Ismail-Fawaz et al. 2024 "[Finding foundation models for time series classification with a pretext task](https://arxiv.org/abs/2311.14534)" The Pacific-Asia Conference on Knowledge Discovery and Data Mining - International Workshop on Temporal Analytics
+3. Foumani et al. 2023 "[Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification](https://www.researchgate.net/profile/Navid-Mohammadi-Foumani/publication/376683892_Series2Vec_Similarity-based_Self-supervised_Representation_Learning_for_Time_Series_Classification/links/6583a4c70bb2c7472bfbd4d2/Series2Vec-Similarity-based-Self-supervised-Representation-Learning-for-Time-Series-Classification.pdf)"
+4. Holder et al. 2023 "[A review and evaluation of elastic distance functions for time series clustering]([A review and evaluation of elastic distance functions for time series clustering](https://link.springer.com/article/10.1007/s10115-023-01952-0))" Knowledge and Information Systems
+5. Ismail-Fawaz et al. 2023 "[LITE: Light Inception with boosTing tEchniques for Time Series Classification](https://ieeexplore.ieee.org/abstract/document/10302569)" IEEE 10th International Conference on Data Science and Advanced Analytics
+6. Koh et al. 2023 "[PSICHIC: physicochemical graph neural network for learning protein-ligand interaction fingerprints from sequence data](https://www.biorxiv.org/content/10.1101/2023.09.17.558145v1.abstract)" bioRxiv
+7. Ayllón-Gavilán et al. 2023 "[Convolutional and Deep Learning based techniques for Time Series Ordinal Classification](https://arxiv.org/abs/2306.10084)"
+8. Ismail-Fawaz et al. 2023 "[ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging](https://link.springer.com/chapter/10.1007/978-3-031-49896-1_9)" The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Workshop on Advanced Analytics and Learning on Temporal Data
+9. Dempster et al. 2023 "[QUANT: A Minimalist Interval Method for Time Series Classification](https://arxiv.org/abs/2308.00928)"
+10. Holder et al. 2023 "[Clustering Time Series with k-Medoids Based Algorithms](https://link.springer.com/chapter/10.1007/978-3-031-49896-1_4)" The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Workshop on Advanced Analytics and Learning on Temporal Data
+11. Guijo-Rubio et al. 2023 "[Unsupervised feature based algorithms for time series extrinsic regression](https://arxiv.org/abs/2305.01429)"
 
 ## Summary
 
@@ -95,3 +109,16 @@ The following python packages are required for the usage of the module:
 4. ```scipy==1.10.0```
 5. ```baycomp==1.0```
 6. ```tqdm==4.66.1```
+
+
+## Citation
+
+If you use this work please make sure you cite this paper:
+```
+@article{ismail2023approach,
+  title={An Approach To Multiple Comparison Benchmark Evaluations That Is Stable Under Manipulation Of The Comparate Set},
+  author={Ismail-Fawaz, Ali and Dempster, Angus and Tan, Chang Wei and Herrmann, Matthieu and Miller, Lynn and Schmidt, Daniel F and Berretti, Stefano and Weber, Jonathan and Devanne, Maxime and Forestier, Germain and Webb, Geoff I},
+  journal={arXiv preprint arXiv:2305.11921},
+  year={2023}
+}
+```