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Found 6 papers, 4 papers with code
Temporal Link Prediction Using Graph Embedding Dynamics
Traditional approaches to temporal link prediction have focused on finding the aggregation of dynamics of the network as a unified output.
Nightly Automobile Claims Prediction from Telematics-Derived Features: A Multilevel Approach
This data is continuously collected and processed nightly into metadata consisting of mileage and time summaries of each discrete trip taken, and a set of behavioral scores describing attributes of the trip (e. g, driver fatigue or driver distraction) so we examine whether it can be used to identify periods of increased risk by successfully classifying trips that occur immediately before a trip in which there was an incident leading to a claim for that driver.
SupCL-Seq: Supervised Contrastive Learning for Downstream Optimized Sequence Representations
This paper introduces SupCL-Seq, which extends the supervised contrastive learning from computer vision to the optimization of sequence representations in NLP.
Exploring a Unified Sequence-To-Sequence Transformer for Medical Product Safety Monitoring in Social Media
Adverse Events (AE) are harmful events resulting from the use of medical products.
MIMIC-III, a freely accessible critical care database
MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.
