xApp: Explainable AI for Industrial Applications
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Explainable AI (XAI) is an emerging and demanding field in AI technologies. Mälardalen University (MDH) being the
forerunner in the race of AI has already started working on projects such as ARTIMATION where XAI is being practically
implemented. To enhance the calibre of researchers in the new domain XAI, having external expertise will be highly
beneficial.
Since the mobility will focus on the application of AI within an industrial perspective, this is aligned with MDH's strategy of
coproduction and will add value to make MDH internationally recognized for its activities in the areas of AI and ML.
Strengthen the research and education competence and collaboration in XAI between Sweden and the USA by establishing the
staff exchange.
iXGB: Improving the Interpretability of XGBoost using Decision Rules and Counterfactuals (Mar 2024) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum 16th International Conference Agents and Artificial Intelligence (ICAART2024)
When a CBR in Hand is Better than Twins in the Bush (Sep 2022) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems (XCBR-ICCBR2022)
