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make accurate predictions or decisions with rationales, i.e., the reasons leading to the predictions/decision. Human-in-the-Loop Machine Learning [1] bridges the gap by incorporating human interaction
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. "Automatic generation of grounded visual questions." in IJCAI, pages 4235--4243, 2017. E. Andre and C. Pelachaud. Interacting with embodied conversational agents. In F. Chen and K. Jokinen, editors, Speech
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Insects are vital components of natural and agricultural ecosystems that interact with plants in complex ways. Computer simulations can help us understand these interactions to improve crop
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multi-objective optimisation, (3) optimisation and user interaction, (4) optimisation in the context of knowledge compilation (e.g. computing smallest representations of AI and ML systems), (5) problems