"Using Machine Learning to Predict Hospitalization and Mortality of COVID-19 Patients with Diabetic Retinopathy"

with Katherine Zhong, Elizabeth Chen, Carsten Eickhoff, and Paul Greenberg

has been accepted for publication at the Annual Meeting of the Association for Research in Vision and Ophthalmology.

#conference #conferencepaper #abstract #ai #ml #vision #diabetes #science #research

"Parameter-efficient On-demand Bias Mitigation via AdapterFusion"

with Deepak Kumar, Oleg Lesota, George Zerveas, Daniel Cohen, Carsten Eickhoff, Markus Schedl, and Navid Rekabsaz

has been accepted at EACL 2023

Check out the pre-print:
https://health-nlp.com/files/pubs/eacl23.pdf

#conference #conferencepaper #AI #ml #nlp #NLProc #EACL #science #research

Our paper

"Linearly Mapping from Image to Text Space"

with Jack Merullo, Louis Castricato, Carsten Eickhoff, and Ellie Pavlick

has been accepted at ICLR 2023

Check out the pre-print:
https://arxiv.org/abs/2209.15162

#conference #conferencepaper #AI #ml #nlp #NLProc #ICLR #science #research

"Variations in hippocampal lipid studied by coherent Raman and Infrared micro-spectroscopy in a mouse model of Alzheimer's-related tau pathology."
Proc. SPIE 12333, Frontiers in Biophotonics and Imaging II, 123330D (11 January 2023);
https://doi.org/10.1117/12.2643538
#conferencepaper #ramaneffect #alzheimers

I'm excited to share that our paper

Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG

with İlkay Yıldız Potter, George Zerveas, Carsten Eickhoff. and Dominique Duncan

won the IEEE International Conference on Machine Learning and Applications (ICMLA) Best Paper Award!

Check it out on Arxiv:
https://arxiv.org/abs/2301.03470

#conference #conferencepaper #IEEE #ICMLA #award #AI #ML #Epilepsy