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Agoritsa Polyzou

Observed names: Polyzou, Agoritsa, Αγορίτσα Πολύζου
Observed institutions: University of Minnesota, University of Patras, Georgetown University, Florida International University, University of South Florida, Nottingham Trent University
ORCID: 0000-0001-8630-7131
Observed ORCID: 0000-0001-8630-7131
OpenAlex ID: A5013726519
Predicting Student Performance Using Personalized Analytics
2016 · Asmaa Elbadrawy, Agoritsa Polyzou, et al. · Computer · 166
Grade prediction with models specific to students and courses
2016 · Agoritsa Polyzou, George Karypis · International Journal of Data Science and Analytics · 98
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Feature Extraction for Next-Term Prediction of Poor Student Performance
2019 · Agoritsa Polyzou, George Karypis · IEEE Transactions on Learning Technologies · 74
Grade Prediction with Course and Student Specific Models
2016 · Agoritsa Polyzou, George Karypis · Lecture notes in computer science · 39
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Enriching Course-Specific Regression Models with Content Features for Grade Prediction
2017 · Qian Hu, Agoritsa Polyzou, et al. · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 21
Feature extraction for classifying students based on their academic performance
2018 · Agoritsa Polyzou, George Karypis · Educational Data Mining · 18
Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
2026 · Utkarsh Grover, Ranjan, Ravi, et al. · arXiv (Cornell University) · 16
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FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning
2022 · Maria Kalantzi, Agoritsa Polyzou, et al. · IEEE Transactions on Learning Technologies · 14
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RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models
2026 · Ranjan, Ravi, Grover, Utkarsh, et al. · arXiv (Cornell University) · 10
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Causal Inference in Higher Education
2019 · Prableen Kaur, Agoritsa Polyzou, et al. · ACM Conference on Learning @ Scale (L@S) · 8
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Learning Behavioral Pattern Analysis Based on Digital Textbook Reading Logs
2019 · Chengjiu Yin, Zhuo Ren, et al. · Lecture notes in computer science · 8
CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs
2026 · Ravi Ranjan, Utkarsh Grover, et al. · International Joint Conference on Neural Networks (IJCNN) · 7
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VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models
2026 · Ravi Ranjan, Agoritsa Polyzou · Workshop on Towards Knowledgeable Foundation Models (KnowFM) · 7
G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
2026 · Ravi Ranjan, Utkarsh Grover, et al. · Lecture notes in computer science · 6
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PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs
2026 · Ravi Kumar, Utkarsh Grover, et al. · Workshop on Innovative Use of NLP for Building Educational Applications · 6
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Evaluating the Effectiveness of Large Language Models for Course Recommendation Tasks
2025 · Boxuan Ma, Md Akib Zabed Khan, et al. · International Conference on Computers in Education · 5
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FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
2021 · Polyzou, Agoritsa, Kalantzi, Maria, et al. · arXiv (Cornell University) · 5
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Listening with Attention: Entropy-Guided Explainability for Transformer-Based Audio Models
2026 · Ravi Kumar, Utkarsh Grover, et al. · Interspeech (USB) · 4
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Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs
2026 · Ranjan, Ravi, Kotevska, Olivera, et al. · arXiv (Cornell University) · 3
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Aurora: Neuro-Symbolic AI Driven Advising Agent
2026 · Lorena Amanda Quincoso Lugones, Christopher Lukas Kverne, et al. · ACM Symposium on Applied Computing · 3
An analysis of relationships between course descriptions and student enrollment patterns
2024 · Agoritsa Polyzou, Joaquin Molto, et al. · ASEE Annual Conference & Exposition · 3
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Models and algorithms for performance prediction and course recommendation in higher education
2025 · Αγορίτσα Πολύζου · 2
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Session-based Course Recommendation Frameworks using Deep Learning
2023 · Md Akib Zabed Khan, Polyzou, Agoritsa · Zenodo (CERN European Organization for Nuclear Research) · 2
DePICT: Decision-Preserving Interface for Constrained Downstream Tasks
2026 · Grover, Utkarsh, Ranjan, Ravi, et al. · arXiv (Cornell University) · 1
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Work in Progress: Developing an AI-Enhanced Immersive Curriculum for Environmental Robotics
2025 · Eric Peterson, Biayna Bogosian, et al. · IEEE World Engineering Education Conference (EDUNINE) · 1
Works count: 34
Citation count: 530
H-index: 9
I10-index: 9
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