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2020 – today
- 2024
[c8]Md. Akib Zabed Khan, Agoritsa Polyzou
:
Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools. FLAIRS 2024- 2023
- [c7]Md. Akib Zabed Khan, Agoritsa Polyzou:
Session-based Course Recommendation Frameworks using Deep Learning. EDM 2023 - 2022
- [j5]Maria Kalantzi, Agoritsa Polyzou, George Karypis:
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. IEEE Trans. Learn. Technol. 15(6): 757-770 (2022) - 2021
- [i3]Agoritsa Polyzou, Maria Kalantzi, George Karypis:
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation. CoRR abs/2109.05931 (2021) - 2020
- [j4]Lisa Singh, Agoritsa Polyzou, Yanchen Wang, Jason Farr, Carole Roan Gresenz:
Social Media Data - Our Ethical Conundrum. IEEE Data Eng. Bull. 43(4): 23-38 (2020) - [i2]Maria Kalantzi, Agoritsa Polyzou, George Karypis:
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. CoRR abs/2011.11611 (2020)
2010 – 2019
- 2019
- [j3]Agoritsa Polyzou, George Karypis:
Feature Extraction for Next-Term Prediction of Poor Student Performance. IEEE Trans. Learn. Technol. 12(2): 237-248 (2019) - [c6]Agoritsa Polyzou, Athanasios N. Nikolakopoulos, George Karypis:
Scholars Walk: A Markov Chain Framework for Course Recommendation. EDM 2019 - [c5]Chengjiu Yin, Zhuo Ren, Agoritsa Polyzou, Yong Wang:
Learning Behavioral Pattern Analysis Based on Digital Textbook Reading Logs. HCI (22) 2019: 471-480 - [c4]Prableen Kaur, Agoritsa Polyzou, George Karypis:
Causal Inference in Higher Education: Building Better Curriculums. L@S 2019: 49:1-49:4 - [i1]Agoritsa Polyzou, George Karypis:
Grade prediction with course and student specific models. CoRR abs/1906.00792 (2019) - 2018
- [c3]Agoritsa Polyzou, George Karypis:
Feature extraction for classifying students based on their academic performance. EDM 2018 - 2017
- [c2]Qian Hu, Agoritsa Polyzou, George Karypis, Huzefa Rangwala:
Enriching Course-Specific Regression Models with Content Features for Grade Prediction. DSAA 2017: 504-513 - 2016
- [j2]Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, Huzefa Rangwala:
Predicting Student Performance Using Personalized Analytics. Computer 49(4): 61-69 (2016) - [j1]Agoritsa Polyzou, George Karypis:
Grade prediction with models specific to students and courses. Int. J. Data Sci. Anal. 2(3-4): 159-171 (2016) - [c1]Agoritsa Polyzou, George Karypis:
Grade Prediction with Course and Student Specific Models. PAKDD (1) 2016: 89-101
Coauthor Index
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