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--- res [2024/10/10 09:22] – created - external edit 127.0.0.1
+++ res [2024/10/16 05:51] (current) – [Public Datasets Creation] sbk
@@ Line 2: / Line 2: @@
 My current reaserch interests are: machine learning, mobile context-aware systems and knowledge engineering.
 ===== Projects involvement =====
+  * PEER -- [[https://peer-ai.eu/en/outcomes/|Redefining
+Human-AI Collaboration
+for Complex Decisions]]
+  * XPM --[[https://www.chistera.eu/projects/xpm|Explainable Predictive Maintenance]]
+  * PACMEL -- [[https://www.chistera.eu/projects/pacmel|Process-aware Analytics Support based on Conceptual Models for Event Logs]]
   * KnowMe -- [[http://glados.kis.agh.edu.pl|Uncertain and incomplete knowledge modelling for mediation in mobile context-aware systems]] (NCN)
   * Prosecco -- [[https://www.geist.re/pub:projects:prosecco:start|Processes Semantics Collaboration for Companies]] (NCBiR)
@@ Line 7: / Line 12: @@
   * REBIT -- [[http://kis.zarz.agh.edu.pl/rebit-flagowy-projekt-katedry/|System zarządzania regułami biznesowymi i technologicznymi]]
   * HeKatE -- [[https://www.geist.re/pub:projects:hekate:start|Hybrid Knowledge Engineering]]
+===== Public Datasets Creation=====
+  * [[https://doi.org/10.5281/zenodo.11448395|XAI-FUNGI]] Dataset from the user study on comprehensibility of XAI algorithms
+  * [[https://doi.org/10.5281/zenodo.11469702| TCM]] Benchmark Datasets for Predictive Maintenance in Steel Manufacturing
 ===== Tools development =====
 ==== Explainable Artificial Intelligence (XAI) Tools ====
-   * **[[https://github.com/sbobek/inxai|InXAI]]** is a Python library for Intelligible XAI that allows to evaluate, compare and analyse different explainable AI algorithms
+   * **[[https://github.com/sbobek/tsproto|TSProto]]** is post-host prototype-based explanations with rules for time-series classifiers.
    * **[[https://github.com/sbobek/lux|LUX]]** is a Python library for generating uncertain local explanations in a form of human understandable  (and executable) rules.
    * **[[https://github.com/sbobek/knac|KnAC]]** is a Python library for Knowledge Augmented Clustering. It allows for human-in-the-loop conformance checking between domain expert and automatic clustering.
    * **[[https://github.com/sbobek/clamp|CLAMP]]** ia a Python library for Cluster analysis with multidimensional bounding boxes. It allows for in-depth cluster analysis with state-of-the-art XAI algorithms.
+   * **[[https://github.com/sbobek/inxai|InXAI]]** is a Python library for Intelligible XAI that allows to evaluate, compare and analyse different explainable AI algorithms
 ==== Knowledge engineering Tools ====