activity
20202024
most citedMLHOps: Machine Learning for Healthcare Operations

6 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2024

FAIIR: Building Toward A Conversational AI Agent Assistant for Youth Mental Health Service Provision

Stephen Obadinma, Alia Lachana, Maia Norman +7

The world's healthcare systems and mental health agencies face both a growing demand for youth mental health services, alongside a simultaneous challenge of limited resources. Here…

cs.LG2023★ 6 cited

MLHOps: Machine Learning for Healthcare Operations

Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan +4

Machine Learning Health Operations (MLHOps) is the combination of processes for reliable, efficient, usable, and ethical deployment and maintenance of machine learning models in he…

cs.CL2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang +23

Building Agent Assistants that can help improve customer service support requires inputs from industry users and their customers, as well as knowledge about state-of-the-art Natura…

cs.CL2020★ 2 cited

An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain

Paul Grouchy, Shobhit Jain, Michael Liu +7

With the growing amount of text in health data, there have been rapid advances in large pre-trained models that can be applied to a wide variety of biomedical tasks with minimal ta…

cs.CV2020

A Computer Vision Approach to Combat Lyme Disease

Sina Akbarian, Tania Cawston, Laurent Moreno +3

Lyme disease is an infectious disease transmitted to humans by a bite from an infected Ixodes species (blacklegged ticks). It is one of the fastest growing vector-borne illness in…

eess.IV2020★ 3 cited

Evaluating Knowledge Transfer in Neural Network for Medical Images

Sina Akbarian, Laleh Seyyed-Kalantari, Farzad Khalvati +1

Deep learning and knowledge transfer techniques have permeated the field of medical imaging and are considered as key approaches for revolutionizing diagnostic imaging practices. H…