Agoritsa Polyzou

According to our database, Agoritsa Polyzou authored at least 24 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, May, 2026

VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models.

Ravi Ranjan, Agoritsa Polyzou

CoRR, April, 2026

G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, April, 2026

CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs.

Ravi Ranjan, Utkarsh Grover, Mayur Akewar, Xiaomin Lin, Agoritsa Polyzou

CoRR, March, 2026

Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies.

Utkarsh Grover, Ravi Ranjan, Mingyang Mao, Trung Tien Dong, Satvik Praveen, Zhenqi Wu, J. Morris Chang, Tinoosh Mohsenin, Yi Sheng, Agoritsa Polyzou, Eiman Kanjo, Xiaomin Lin

CoRR, March, 2026

RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, March, 2026

Aurora: Neuro-Symbolic AI Driven Advising Agent.

Lorena Amanda Quincoso Lugones, Christopher Lukas Kverne, Nityam Sharadkumar Bhimani, Ana Carolina Oliveira, Agoritsa Polyzou, Christine Lisetti, Janki Bhimani

Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 2026

2025

How Good Are Large Language Models for Course Recommendation in MOOCs?

Boxuan Ma, Md. Akib Zabed Khan, Tianyuan Yang, Agoritsa Polyzou, Shin'ichi Konomi

CoRR, April, 2025

Reasoning with Knowledge Graphs for Trustworthy Course Recommendation.

Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

2024

Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools.

Md. Akib Zabed Khan, Agoritsa Polyzou

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

How Can We Use LLMs for EDM Tasks? The Case of Course Recommendation.

Md. Akib Zabed Khan, Agoritsa Polyzou, Neila Bennamane

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

2023

Session-based Course Recommendation Frameworks using Deep Learning.

Md. Akib Zabed Khan, Agoritsa Polyzou

Proceedings of the 16th International Conference on Educational Data Mining, 2023

2022

FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning.

Maria Kalantzi, Agoritsa Polyzou, George Karypis

IEEE Trans. Learn. Technol., 2022

2021

FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation.

Agoritsa Polyzou, Maria Kalantzi, George Karypis

CoRR, 2021

2020

Social Media Data - Our Ethical Conundrum.

Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, Carole Roan Gresenz

IEEE Data Eng. Bull., 2020

2019

Feature Extraction for Next-Term Prediction of Poor Student Performance.

Agoritsa Polyzou, George Karypis

IEEE Trans. Learn. Technol., 2019

Causal Inference in Higher Education: Building Better Curriculums.

Prableen Kaur, Agoritsa Polyzou, George Karypis

Proceedings of the Sixth ACM Conference on Learning @ Scale, 2019

Learning Behavioral Pattern Analysis Based on Digital Textbook Reading Logs.

Chengjiu Yin, Zhuo Ren, Agoritsa Polyzou, Yong Wang

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2019

Scholars Walk: A Markov Chain Framework for Course Recommendation.

Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Feature extraction for classifying students based on their academic performance.

Agoritsa Polyzou, George Karypis

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Enriching Course-Specific Regression Models with Content Features for Grade Prediction.

Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

Grade prediction with models specific to students and courses.

Agoritsa Polyzou, George Karypis

Int. J. Data Sci. Anal., 2016

Predicting Student Performance Using Personalized Analytics.

Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, Huzefa Rangwala

Computer, 2016

Grade Prediction with Course and Student Specific Models.

Agoritsa Polyzou, George Karypis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016