6 citations · 9 across the 4 of their papers we have counts for
4 papers
Demo: Multi-Modal Seizure Prediction System
Ali Saeizadeh, Pietro Brach del Prever, Douglas Schonholtz +5
This demo presents SeizNet, an innovative system for predicting epileptic seizures benefiting from a multi-modal sensor network and utilizing Deep Learning (DL) techniques. Epileps…
A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures
Ali Saeizadeh, Douglas Schonholtz, Joseph S. Neimat +2
This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodolog…
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
Ali Saeizadeh, Douglas Schonholtz, Daniel Uvaydov +6
In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While phar…
A Review of Repository Level Prompting for LLMs
Douglas Schonholtz
As coding challenges become more complex, recent advancements in Large Language Models (LLMs) have led to notable successes, such as achieving a 94.6\% solve rate on the HumanEval…