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Maria Kalantzi

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Journal Articles

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2022
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Maria Kalantzi, Agoritsa Polyzou, George Karypis:
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. IEEE Trans. Learn. Technol. 15(6): 757-770 (2022)

Conference and Workshop Papers

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2021
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Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. IEEE BigData 2021: 779-789
2014
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Athanasios N. Nikolakopoulos, Maria Kalantzi, John D. Garofalakis:
On the Use of Lanczos Vectors for Efficient Latent Factor-Based Top-N Recommendation. WIMS 2014: 28:1-28:6

Informal and Other Publications

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2021
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Maria Kalantzi, George Karypis:
Position-based Hash Embeddings For Scaling Graph Neural Networks. CoRR abs/2109.00101 (2021)
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Agoritsa Polyzou, Maria Kalantzi, George Karypis:
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation. CoRR abs/2109.05931 (2021)
2020
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  - journals/corr/abs-2011-11611
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Maria Kalantzi, Agoritsa Polyzou, George Karypis:
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning. CoRR abs/2011.11611 (2020)
2016
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Maria Kalantzi:
LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios. CoRR abs/1606.04335 (2016)

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