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**eXplainable Artificial Intelligence (XAI)**
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This GitLab project is aimed at giving visibility to sw developed by [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral) and collaborators on the XAI research field.

Related Projects:

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* [Explica-IA](https://citius.usc.es/r/248). This is a regional project (ED431F2018/02) headed by [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral). The project is aimed at building intelligent systems with self-explanatory capability.
* [ADHERE-U](https://citius.usc.es/r/260). This is a national project (RTI2018-099646-B-I00) coordinated by [Paulo Felix Lamas](https://citius.usc.es/v/paulo-felix-lamas) and [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral). Te project is aimed at building AI-based models, techniques and methodologies for improving medication adherence. We face the XAI challenge of building intelligent persuasive conversational agents.
* [NL4XAI](https://nl4xai.eu/). This an EU project (H2020-MSCA-ITN, GA No 860621) coordinated by the Research Centre on Intelligent Technologies ([CiTIUS](https://citius.usc.es/)) of the University of Santiago de Compostela. [Senén Barro](https://citius.usc.es/v/senen-barro-ameneiro) is the Scientific Director of CiTIUS and the NL4XAI coordinator. [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral) is the Deputy NL4XAI coordinator and President of the Executive Board. The project is aimed at training 11 Early Stage Researchers with PhD dissertations related to XAI.
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Dissemination Scientific Events:

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* [Plenary talk on XAI at BRACIS 2020](http://www2.sbc.org.br/bracis2020/speakers.html)
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* [Plenary talk on XAI at SCIS&ISIS 2020](http://scis.j-soft.org/2020/plenary.html)
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* [Workshop on XAI at INLG2020](https://sites.google.com/view/nl4xai2020)
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* [Tutorial on XAI at IEEE WCCI 2020](https://sites.google.com/view/tutorial-on-xai-ieee-wcci2020)
* [Special Session on XAI at IEEE WCCI 2020](https://sites.google.com/view/xai-ieeewcci2020/)
* [Special Session on XAI at FUZZ-IEEE 2019](https://sites.google.com/view/xai-fuzzieee2019)
* [Workshop on XAI at INLG2019](https://sites.google.com/view/nl4xai2019)
* [Special Session on XAI at IEEE-SMC 2019](https://sites.google.com/view/xaixindustry40-smc19/)
* [Special Session on XAI at IPMU 2018](https://sites.google.com/view/xai-ipmu2018)
  

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Software Tools:
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* [ExpliClas](https://demos.citius.usc.es/ExpliClas/). The first version of this web tool was developed by Bruno Lopez Trigo, as part of his [TFG](https://gitlab.citius.usc.es/bruno.lopez.trigo/ExpliClas-TFG), under supervision of [Alberto Bugarin](https://citius.usc.es/v/alberto-bugarin-diz) and [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral), in the context of the [Explica-IA project](https://citius.usc.es/r/248). It makes use of the following [ExpliClasAPI](https://demos.citius.usc.es/ExpliClasAPI/). A new version of [ExpliClas](https://gitlab.citius.usc.es/jose.alonso/expliclas-v3) is being developed by [Raul Vilas](https://citius.usc.es/v/raul-vilas-pineiro). You can visualize a demo at [ExpliClas-VIDEO](https://youtu.be/7jfYYudPUZY).
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* [Weka-Model-Comparator](https://gitlab.citius.usc.es/javier.toja/expliclas-model-comparator). This is a Java code developed by [Javier Toja](https://citius.usc.es/v/javier-toja-alamancos) during his final MSc project under supervision of [Alberto Bugarin](https://citius.usc.es/v/alberto-bugarin-diz) and [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral).
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* [FCFExpGen](https://gitlab.citius.usc.es/ilia.stepin/fcfexpgen). This is Python code for factual and counterfactual textual explanation generation. It is implemented by [Ilia Stepin](https://citius.usc.es/v/ilia-stepin) who is a PhD student under the supervision of [Alejandro Catala](https://citius.usc.es/v/alejandro-catala-bolos) and [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral), in the context of the [Explica-IA](https://citius.usc.es/r/248) project.
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* [GUAJE](https://gitlab.citius.usc.es/jose.alonso/guaje/). This is an open source software aimed at designing explainable fuzzy systems. The main contributor to this project was [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral). 
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* [Nutri2text](https://nubeusc-my.sharepoint.com/:u:/g/personal/josemaria_alonso_moral_usc_es/EVYPN3mIvjNHj36oBxYZRvsBoGd0O8KEoLGi3Qu8VWp4MQ?e=fTFoLt). This Android app was developed by Javier Porto Veloso, as part of his TFG, under supervision of [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral), in the context of the [Explica-IA project](https://citius.usc.es/r/248). It makes use of the following [Nutri2textAPI](https://demos.citius.usc.es/Nutri2textAPI/).
The Nutri2text Android app was presented as a demo in the [2019 "CiTIUS Inside-the-lab"](https://eventos.citius.usc.es/insidethelab/). You can find further info at [Nutri2text-VIDEO](https://youtu.be/P07li3z3fKE).
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* [xai4all](https://scratch.mit.edu/projects/330579801/). This is a Scratch project which is developed by [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral), in the context of the [Explica-IA project](https://citius.usc.es/r/248). You can find further info at [xai4all-VIDEO](https://youtu.be/Ri1g4D6id1I).
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* [xai4kids](https://scratch.mit.edu/projects/303945261/). This is a Scratch project which is developed by [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral), in the context of the [Explica-IA project](https://citius.usc.es/r/248). You can find further info at [xai4kids-VIDEO](https://www.youtube.com/watch?v=tKgW2hoNC9Y).
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Other Resources:
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1. [BasketballPlayers](https://gitlab.citius.usc.es/jose.alonso/basketballplayers-dataset). This is a classification dataset for identifying/recognizing roles of basketball players. It has been used in the following papers:
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* Jose M. Alonso, [Teaching Explainable Artificial Intelligence to High School Students](https://doi.org/10.2991/ijcis.d.200715.003), International Journal of Computational Intelligence Systems, Atlantis Press, 2020
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* Jose M. Alonso, [Explainable Artificial Intelligence for Kids](https://dx.doi.org/10.2991/eusflat-19.2019.21), 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), pp. 134-141, Atlantis Press, 2019

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2. [BEERSTYLE](https://data.mendeley.com/datasets/n4b6734rfn/1). This is a classification dataset for identifying/recognizing several beer styles. It is available in arff format at [BEER3](https://dx.doi.org/10.13140/RG.2.2.20313.67680) and in the [XAI gitlab repository](https://gitlab.citius.usc.es/jose.alonso/xai/). It has been used in the following papers:
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* Jose M. Alonso, A. Ramos-Soto, C. Castiello, C. Mencar, [Explainable AI Beer Style Classifier](http://ceur-ws.org/Vol-2151/Paper_S1.pdf), The SICSA Reasoning, Learning and Explainability Workshop 2018, Aberdeen (Scotland), 2018
* Jose M. Alonso, A. Ramos-Soto, C. Castiello, C. Mencar, [Hybrid Data-Expert Explainable Beer Style Classifier](https://www.researchgate.net/publication/325870079_Hybrid_Data-Expert_Explainable_Beer_Style_Classifier/citations), IJCAI/ECAI Workshop on Explainable Artificial Intelligence, pp. 1-5, Stockholm (Sweden), 2018 
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Please, contact to [Jose M. Alonso](https://citius.usc.es/v/jose-maria-alonso-moral) in order to know more about this research line. The interested reader is kindly referred to our complete [list of publications](https://citius.usc.es/investigacion/publicacions/listado?e=false&s=jose-maria-alonso-moral).