1 citations · 1 across the 5 of their papers we have counts for
5 papers
DAEDRA: A language model for predicting outcomes in passive pharmacovigilance reporting
Chris von Csefalvay
Over the recent years, the emergence of large language models (LLMs) has given rise to a proliferation of domain-specific models that are intended to reflect the particularities of…
Vector quantisation and partitioning of COVID-19 temporal dynamics in the United States
Chris von Csefalvay
The statistical dynamics of a pathogen within a population depend on a range of factors: population density, the effectiveness and investment into social distancing, public policy…
Statistical dynamics of social distancing in SARS-CoV-2 as a differential game
Chris von Csefalvay
The novel coronavirus SARS-CoV-2 has rapidly emerged as a significant threat to global public health, in particular because -- as is not uncommon with novel pathogens -- there is n…
JAMPI: efficient matrix multiplication in Spark using Barrier Execution Mode
Tamas Foldi, Chris von Csefalvay, Nicolas A. Perez
The new barrier mode in Apache Spark allows embedding distributed deep learning training as a Spark stage to simplify the distributed training workflow. In Spark, a task in a stage…
Novel quantitative indicators of digital ophthalmoscopy image quality
Chris von Csefalvay
With the advent of smartphone indirect ophthalmoscopy, teleophthalmology - the use of specialist ophthalmology assets at a distance from the patient - has experienced a breakthroug…