Artificial Intelligence/Machine Learning
Semi-Supervised Symbol Detection for Piping and Instrumentation Drawings
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Quantum Positive Unlabeled Learning Algorithms with Applications to Energy
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DGR-MIL: Diverse Global Representation in Multiple Instance Learning
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Label-Efficient Learning and Continuous Monitoring of Motor Function Symptoms
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Dynamic-based Computational Drug Design Strategy for WW Domains
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Environment Semantic Communication: Enabling Distributed Sensing Aided Networks
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Combating Potential Misinformation in Journalism: A Hybrid Framework using LLMs and Heuristic Approaches
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Vibr-eau: Emulating Fluid Behavior in Vessel Handling through Vibrotactile Actuators
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Self-Supervised Quantization-Aware Knowledge Distillation
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Adversarial Text Purification: Large Language Model Approach for Defense
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