
Maria L. Gini
University Of Minnesota
sentiment classification
code-switching
social media
emotion classification
simulation
scientific method
semi-supervised methods
task allocation
auctions
multi-robot systems
research automation
real robots
low-resource language data
kenyan code-switched data
transformer-based pretrained models
4
presentations
16
number of views
SHORT BIO
Maria Gini is a College of Science & Engineering Distinguished Professor in the Department of Computer Science and Engineering at the University of Minnesota. She works on decentralized decision-making for autonomous agents in many application domains, ranging from swarm robotics to task allocation, methods to explore unknown environments, and navigation in dense crowds. She is a Fellow of AAAI, ACM, and IEEE and won numerous awards for teaching, mentoring, increasing participation of women and underrepresented members in computing, and for service. She has published extensively in journals, conferences, and books. She is Editor in Chief of Robotics and Autonomous Systems and is on the editorial board of other journals, including Autonomous Agents and Multi-Agent Systems.
Presentations

RideKE: Leveraging Low-resource Twitter User-generated Content for Sentiment and Emotion Detection on Code-switched RHS Dataset
Naome Etori and 1 other author

Decentralized allocation of tasks to agents and robots
Maria L. Gini

SIERRA: A Modular Framework for Research Automation
John Harwell and 2 other authors

20 Years of AAMAS
Maria L. Gini and 6 other authors