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Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works
Semi-supervised Text Categorization Using Recursive K-means Clustering
An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks
Iterative Aggregation Method for Solving Principal Component Analysis Problems
FEKAN: Feature-Enriched Kolmogorov-Arnold Networks
Bootstrapping Intrinsically Motivated Learning with Human Demonstrations
Approximation Theory for Lipschitz Continuous Transformers
Seismic data interpolation based on U-net with texture loss
Logit Distance Bounds Representational Similarity
A systematic review of smartphone-based human activity recognition for health research
Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
Graph neural network for colliding particles with an application to sea ice floe modeling
Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
An Innovative Imputation and Classification Approach for Accurate Disease Prediction
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
A Reconfigurable Low Power High Throughput Architecture for Deep Network Training
Representation Learning for Medical Data
Greedy Deep Dictionary Learning
Automatic recognition of element classes and boundaries in the birdsong with variable sequences
Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
