Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding

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The two clocks and the innovation window: When and how generative models learn rules

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Multi-Agent Deep Reinforcement Learning-Based RIS-Aided UAV Communications

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Resolution Trees with Lemmas: Resolution Refinements that Characterize DLL Algorithms with Clause Learning

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A framework of project-based learning (PBL) pedagogy for graphic design education

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A parametric distributional reinforcement learning framework for conditional systemic risk estimation

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YIELD PREDICTION OF NSUKKA YELLOW PEPPER USING SOME MACHINE LEARNING MODELS

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Development of a Phishing Detection System Using Ensemble Machine Learning Method

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IGRL: Imitation-Guided Reinforcement Learning for Sample-Efficient and Stable Robotic Control

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Energy-Efficient Federated Learning Scheduler for VM Allocation in Edge-Cloud Continuum

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Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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itwinai: A Python Toolkit for Scalable Scientific Machine Learning on HPC Systems

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A Digital Game to Motivate and Empower Women in Learning Algorithms for Computer Science

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Design of an english oral dialogue generation and interaction system assisted by machine learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Scaling Neuro-symbolic Problem Solving: Solver-Free Learning of Constraints and Objectives

Subjects: “…Artificial Intelligence & Machine Learning…”
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The social learning and development of intra- and inter-ethnic sharing norms in the Congo Basin

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Correction: Learning interventions and training methods in health emergencies: A scoping review

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CNN-based deep learning approach for multiclass prediction of fin-tech startups

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Ensemble learning models for micro-drone detection using integrated acoustic signatures

Subjects: “…Artificial Intelligence & Machine Learning…”
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Osteoporosis Detection From Dental Periapical Radiographs Using Deep Learning Approaches

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