Agoritsa Polyzou

23 papers B 6Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aurora: Neuro-Symbolic AI Driven Advising Agent.
CoRR
Lorena Amanda Quincoso Lugones, Christopher Kverne, Nityam Sharadkumar Bhimani, Ana Carolina Oliveira, Agoritsa Polyzou, Christine Lisetti, Janki Bhimani
2026 J jnl
CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs.
CoRR
Ravi Ranjan, Utkarsh Grover, Mayur Akewar, Xiaomin Lin, Agoritsa Polyzou
2026 J jnl
Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies.
CoRR
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
2026 J jnl
RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models.
CoRR
Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou
2025 J jnl
How Good Are Large Language Models for Course Recommendation in MOOCs?
CoRR
Boxuan Ma, Md. Akib Zabed Khan, Tianyuan Yang, Agoritsa Polyzou, Shin'ichi Konomi
2025 B conf
Reasoning with Knowledge Graphs for Trustworthy Course Recommendation.
DSAA
Md. Akib Zabed Khan, Dongsheng Luo, Agoritsa Polyzou
2024 Misc conf
Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools.
FLAIRS
Md. Akib Zabed Khan, Agoritsa Polyzou
2024 — conf
How Can We Use LLMs for EDM Tasks? The Case of Course Recommendation.
HEXED/L3MNGET@EDM
Md. Akib Zabed Khan, Agoritsa Polyzou, Neila Bennamane
2023 B conf
Session-based Course Recommendation Frameworks using Deep Learning.
EDM
Md. Akib Zabed Khan, Agoritsa Polyzou
2022 J jnl
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning.
IEEE Trans. Learn. Technol.
Maria Kalantzi, Agoritsa Polyzou, George Karypis
2021 J jnl
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation.
CoRR
Agoritsa Polyzou, Maria Kalantzi, George Karypis
2020 J jnl
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning.
CoRR
Maria Kalantzi, Agoritsa Polyzou, George Karypis
2020 J jnl
Social Media Data - Our Ethical Conundrum.
IEEE Data Eng. Bull.
Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, Carole Roan Gresenz
2019 B conf
Causal Inference in Higher Education: Building Better Curriculums.
L@S
Prableen Kaur, Agoritsa Polyzou, George Karypis
2019 J jnl
Feature Extraction for Next-Term Prediction of Poor Student Performance.
IEEE Trans. Learn. Technol.
Agoritsa Polyzou, George Karypis
2019 J jnl
Grade prediction with course and student specific models.
CoRR
Agoritsa Polyzou, George Karypis
2019 — conf
Learning Behavioral Pattern Analysis Based on Digital Textbook Reading Logs.
HCI (22)
Chengjiu Yin, Zhuo Ren, Agoritsa Polyzou, Yong Wang
2019 B conf
Scholars Walk: A Markov Chain Framework for Course Recommendation.
EDM
Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis
2018 B conf
Feature extraction for classifying students based on their academic performance.
EDM
Agoritsa Polyzou, George Karypis
2017 B conf
Enriching Course-Specific Regression Models with Content Features for Grade Prediction.
DSAA
Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala
2016 — conf
Grade Prediction with Course and Student Specific Models.
PAKDD (1)
Agoritsa Polyzou, George Karypis
2016 J jnl
Grade prediction with models specific to students and courses.
Int. J. Data Sci. Anal.
Agoritsa Polyzou, George Karypis
2016 J jnl
Predicting Student Performance Using Personalized Analytics.
Computer
Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, Huzefa Rangwala