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Found 3 papers, 2 papers with code
MC-DBN: A Deep Belief Network-Based Model for Modality Completion
Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring.
MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network
To address these challenges, we propose a Multi-modal Time Series Analysis Model Based on Spiking Neural Network (MTSA-SNN).
Deep Reinforcement Learning for Quantitative Trading
Incorporating deep reinforcement learning (DRL) with imitative learning methodologies, we bolster the proficiency of our model.
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