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Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
An Integrated Classification Model for Financial Data Mining
Central Dogma Transformer II: An AI Microscope for Understanding Cellular Regulatory Mechanisms
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe
Neighborhood-Based Label Propagation in Large Protein Graphs
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
Estimation of classrooms occupancy using a multi-layer perceptron
MRI Super-Resolution with Ensemble Learning and Complementary Priors
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning
Micro-Data Learning: The Other End of the Spectrum
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population
Stock trend prediction using news sentiment analysis
Q-Learning with Basic Emotions
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
Discrimination in the Age of Algorithms
On the Learning Dynamics of RLVR at the Edge of Competence
Learning Data-Efficient and Generalizable Neural Operators via Fundamental Physics Knowledge
The Information Geometry of Softmax: Probing and Steering
Social Computing for Mobile Big Data in Wireless Networks
A Threshold-based Scheme for Reinforcement Learning in Neural Networks
OBTAIN: Real-Time Beat Tracking in Audio Signals
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response
