activity
20172023
most citedWhat We Know So Far: Artificial Intelligence in African Healthcare

4 citations · 13 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CL2023

A Dialogue System for Assessing Activities of Daily Living: Improving Consistency with Grounded Knowledge

Zhecheng Sheng, Raymond Finzel, Michael Lucke +3

In healthcare, the ability to care for oneself is reflected in the "Activities of Daily Living (ADL)," which serve as a measure of functional ability (functioning). A lack of funct…

cs.CY2023★ 4 cited

What We Know So Far: Artificial Intelligence in African Healthcare

Naome Etori, Ebasa Temesgen, Maria Gini

Healthcare in Africa is a complex issue influenced by many factors including poverty, lack of infrastructure, and inadequate funding. However, Artificial intelligence (AI) applied…

cs.CL2022

Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets

Risako Owan, Maria Gini, Dongyeop Kang

Modal verbs, such as "can", "may", and "must", are commonly used in daily communication to convey the speaker's perspective related to the likelihood and/or mode of the proposition…

cs.AI2022

SIERRA: A Modular Framework for Research Automation and Reproducibility

John Harwell, Maria Gini

Modern intelligent systems researchers form hypotheses about system behavior and then run experiments using one or more independent variables to test their hypotheses. We present S…

cs.RO2022★ 1 cited

SIERRA: A Modular Framework for Research Automation

John Harwell, London Lowmanstone, Maria Gini

Modern intelligent systems researchers employ the scientific method: they form hypotheses about system behavior, and then run experiments using one or more independent variables to…

cs.RO2021★ 1 cited

Characterizing The Limits of Linear Modeling of Non-Linear Swarm Behaviors

John Harwell, Angel Sylvester, Maria Gini

We study the limits of linear modeling of swarm behavior by characterizing the inflection point beyond which linear models of swarm collective behavior break down. The problem we c…

cs.RO2020

Robotics Enabling the Workforce

Henrik Christensen, Maria Gini, Odest Chadwicke Jenkins +1

Robotics has the potential to magnify the skilled workforce of the nation by complementing our workforce with automation: teams of people and robots will be able to do more than ei…

cs.RO2020★ 1 cited

Improved Swarm Engineering: Aligning Intuition and Analysis

John Harwell, Maria Gini

We present a set of metrics intended to supplement designer intuitions when designing swarm-robotic systems, increase accuracy in extrapolating swarm behavior from algorithmic desc…

cs.RO2019★ 1 cited

Swarm Engineering Through Quantitative Measurement of Swarm Robotic Principles in a 10,000 Robot Swarm

John Harwell, Maria Gini

When designing swarm-robotic systems, systematic comparison of algorithms from different domains is necessary to determine which is capable of scaling up to handle the target probl…

cs.MA2019★ 2 cited

Maximizing Energy Battery Efficiency in Swarm Robotics

Anthony Chen, John Harwell, Maria Gini

Miniaturization and cost, two of the main attractive factors of swarm robotics, have motivated its use as a solution in object collecting tasks, search & rescue missions, and other…

cs.RO2019★ 1 cited

Socially Inspired Communication in Swarm Robotics

Nathan White, John Harwell, Maria Gini

Localized communication in swarms has been shown to increase swarm effectiveness in some situations by allowing for additional opportunities for cooperation. However, communication…

cs.HC2019★ 2 cited

Evaluating Older Users' Experiences with Commercial Dialogue Systems: Implications for Future Design and Development

Libby Ferland, Thomas Huffstutler, Jacob Rice +3

Understanding the needs of a variety of distinct user groups is vital in designing effective, desirable dialogue systems that will be adopted by the largest possible segment of the…

cs.MA2017

ALAN: Adaptive Learning for Multi-Agent Navigation

Julio Godoy, Tiannan Chen, Stephen J. Guy +2

In multi-agent navigation, agents need to move towards their goal locations while avoiding collisions with other agents and static obstacles, often without communication with each…