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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

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