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Found 8 papers, 2 papers with code
Modelling infectious disease transmission dynamics in conference environments: An individual-based approach
The global public health landscape is perpetually challenged by the looming threat of infectious diseases.
Integrating LLM, EEG, and Eye-Tracking Biomarker Analysis for Word-Level Neural State Classification in Semantic Inference Reading Comprehension
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning.
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high-quality education.
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing
If a student wants to answer a question correctly, the student should not only master the set of skills involved in the question but also think and obtain the associative path on the skills graph.
Learning Relation-Specific Representations for Few-shot Knowledge Graph Completion
To this end, these methods learn entity-pair representations from the direct neighbors of head and tail entities, and then aggregate the representations of reference entity pairs.
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
Completion through the embedding representation of the knowledge graph (KGE) has been a research hotspot in recent years.
Semi-supervised representation learning via dual autoencoders for domain adaptation
Domain adaptation aims to exploit the knowledge in source domain to promote the learning tasks in target domain, which plays a critical role in real-world applications.
One-bit LFMCW Radar: Spectrum Analysis and Target Detection
It is shown that compared to the conventional radar applying linear processing methods, one-bit LFMCW radar has about $1. 3$ dB performance gain when the input signal-to-noise ratios (SNRs) of targets are low.
