Artificial Intelligence and Machine Learning

.- No Imputation without Representation.

.- Relevance Feedback Strategies for Reducing Review Effort in Recall-oriented Neural Information Retrieval.

.- Defining and Evaluating the Optimal Degree of Abstraction in Explanations with Kolmogorov complexity .

.- Assessing Aggressive Driving Behaviour Using Attention Based Models.

.- Multi-Agent Counterfactual Communication using Difference Rewards Policy Gradients.

.- Forecast Reconciliation for Vaccine Supply Chain Optimization.

.- Machine Learning Applications in Route Planning for Attended Home Delivery.

.- ironment: A New Environment for Coordination critical Multi-agent Tasks.

.- Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma.

.- Why do Penguins Fly? Explaining Boolean Classifiers with Non-monotonic Background Theories.