Artificial Intelligence and Machine Learning: 33rd Benelux Conference on Artificial Intelligence
- Length: 265 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2022-02-12
- ISBN-10: 3030938417
- ISBN-13: 9783030938413
- Sales Rank: #0 (See Top 100 Books)
This book contains a selection of the best papers of the 33rd Benelux Conference on Artificial Intelligence, BNAIC/ BENELEARN 2021, held in Esch-sur-Alzette, Luxembourg, in November 2021.
The 14 papers presented in this volume were carefully reviewed and selected from 46 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.
Cover Front Matter Annotating Data Active Learning for Reducing Labeling Effort in Text Classification Tasks Refining Weakly-Supervised Free Space Estimation Through Data Augmentation and Recursive Training Self-labeling of Fully Mediating Representations by Graph Alignment Recognizing Objects Task Independent Capsule-Based Agents for Deep Q-Learning Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices Explaining Outcomes Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities The Effect of Noise Level on the Accuracy of Causal Discovery Methods with Additive Noise Models A Bayesian Framework for Evaluating Evolutionary Art Understanding Language Dutch SQuAD and Ensemble Learning for Question Answering from Labour Agreements Verbalizing but Not Just Verbatim Translations of Ontology Axioms Transfer Learning and Curriculum Learning in Sokoban Reinforcing Decisions Proximal Policy Optimisation for a Private Equity Recommitment System Regular Decision Processes for Grid Worlds MoveRL: To a Safer Robotic Reinforcement Learning Environment Back Matter
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