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Opening by organisers


Regular Paper 1: Tupsamudre, Saurabh, Ramamurthy, Gharote, Lodha. A Divide and Conquer Approach for Web Services Location Allocation Problem – 20  + 5 minutes

Regular Paper 2:  Virgolin, De Lorenzo, Randone, Medvet, Wahde. Model Learning with Personalized Interpretability Estimation (ML-PIE) – 20  + 5 minutes


Keynote Talk by Prof. Michael Emmerich: Multiobjective Optimization and Decision Analysis from an Explainable AI Perspective

Closing by organisers

Instructions for the presenters: 

Timings: Please record a 16-minute presentation (back up). You will have 20 minutes in the workshop for the live presentation followed by 5 minutes for questions and answers.

Please, save your presentation in pdf format in case there will be some technical issues.

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