Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
35th Benelux Conference, BNAIC/Benelearn 2023, Delft, The Netherlands, November 8-10, 2023, Revised Selected Papers
Oliehoek, Frans A.; Kok, Manon; Verwer, Sicco
Springer International Publishing AG
01/2025
276
Mole
9783031746499
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- 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.
.- 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.