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10/21/2022
Towards Employing Recommender Systems for Supporting Data and Algorithm Sharing
Data and algorithm sharing is an imperative part of data and AI-driven e...
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05/24/2022
CryptoTL: Private, efficient and secure transfer learning
Big data has been a pervasive catchphrase in recent years, but dealing w...
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11/29/2021
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations
Personalized news recommender systems support readers in finding the rig...
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09/06/2019
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle
Machine learning (ML) applications become increasingly common in many do...
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08/12/2019
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
In this paper, we present our work to support publishers and editors in ...
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08/12/2019
