Search Results for author:
Found 7 papers, 2 papers with code
PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
Clinical trial matching is the task of identifying trials for which patients may be potentially eligible.
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology
Retrieving information from EHR systems is essential for answering specific questions about patient journeys and improving the delivery of clinical care.
Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
This work focuses on improving the Spoken Language Identification (LangId) system for a challenge that focuses on developing robust language identification systems that are reliable for non-standard, accented (Singaporean accent), spontaneous code-switched, and child-directed speech collected via Zoom.
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
To elucidate the mechanisms responsible for asymmetry in visual search, we propose a computational model that takes a target and a search image as inputs and produces a sequence of eye movements until the target is found.
Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
Deep Learning has become interestingly popular in computer vision, mostly attaining near or above human-level performance in various vision tasks.
A More Biologically Plausible Local Learning Rule for ANNs
However, various learning methods for neural architecture have been proposed in search of more biologically plausible learning.
Investigating Emotion-Color Association in Deep Neural Networks
The representations learned by deep neural networks can indeed show an emotion-color association 2.
