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9841
Initial Goal Allocation for Multi-agent Systems
Published 2024-05-01“…There-fore, in this research, we attempt to solve initial goal distri-bution challenges in multi-agent settings by developing twogoal allocation algorithms. …”
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9842
Temporal Alignment and Demonstration Selection as Pre-Processing Phase for Learning by Demonstration
Published 2022-05-01Get full text
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9843
Generative Local Interpretable Model-Agnostic Explanations
Published 2023-05-01Get full text
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9844
Modeling and Discovering Direct Causes for Predictive Models
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9845
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9846
On the Comparison of Markov Chains-based Models in Process Mining for Healthcare: A Case Study
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9847
Automated Assessment of Student Self-explanation During Source Code Comprehension
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9848
Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI.
Published 2025-05-01“… Recent research on Responsible AI, particularly in addressing algorithmic biases, has gained significant attention. …”
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9849
Evaluation of Techniques for Sim2Real Reinforcement Learning
Published 2023-05-01“…Additionally, the findings provide valuable insights into implementing sim2real RL algorithms to bridge the reality gap.…”
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9850
Technology Policy Recommendations Using Artificial Intelligence
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9851
Qualitative Mechanical Problem-Solving by Artificial Agents:
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9852
Incorporating Wave-ViT for Breast Cancer Diagnosis Using MRI Imaging
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9853
The Development of an Intelligent System Architecture for Autonomous Care (ISAAC)
Published 2022-05-01“…To accomplish this, we conducted research to explore how intelligent algorithms can be used to supplement the current capabilities by improving the diagnosis, intervention, and monitoring of combat trauma care. …”
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9854
RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection
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9855
Topological Data Analysis in Natural Language Processing -- A Tutorial
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9856
Sharing Accountability of Versatile AI Systems: The Role of Developers and Practitioners
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9857
On Clustering in Qualitative Spatial and Temporal Reasoning
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9858
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9859
Dynamic Domain Sizes in Temporal Probabilistic Relational Models
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9860
COM-MABs: From Users' Feedback to Recommendation
Published 2022-05-01“…Recently, the COMbinatorial Multi-Armed Bandits (COM-MAB) problem has arisen as an active research field. In systems interacting with humans, those reinforcement learning approaches use a feedback strategy as their reward function. …”
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