Artificial Intelligence/Machine Learning

Semi-Supervised Symbol Detection for Piping and Instrumentation Drawings

Quantum Positive Unlabeled Learning Algorithms with Applications to Energy

DGR-MIL: Diverse Global Representation in Multiple Instance Learning

Label-Efficient Learning and Continuous Monitoring of Motor Function Symptoms

Dynamic-based Computational Drug Design Strategy for WW Domains

Environment Semantic Communication: Enabling Distributed Sensing Aided Networks

Combating Potential Misinformation in Journalism: A Hybrid Framework using LLMs and Heuristic Approaches

Vibr-eau: Emulating Fluid Behavior in Vessel Handling through Vibrotactile Actuators

Self-Supervised Quantization-Aware Knowledge Distillation

Adversarial Text Purification: Large Language Model Approach for Defense