Predicting Session Length in Media Streaming T Vasiloudis, P Vahabi, R Kravitz, V Rashkov 40th International ACM SIGIR Conference on Research and Development in …, 2017 | 17 | 2017 |
TEM: High Utility Metric Differential Privacy on Text R Silva Carvalho, T Vasiloudis, O Feyisetan arXiv e-prints, arXiv: 2107.07928, 2021 | 15* | 2021 |
Quantifying Uncertainty in Online Regression Forests. T Vasiloudis, GDF Morales, H Boström Journal of Machine Learning Research (JMLR) 20 (155), 1-35, 2019 | 10 | 2019 |
BRR: Preserving Privacy of Text Data Efficiently on Device R Silva Carvalho, T Vasiloudis, O Feyisetan arXiv e-prints, arXiv: 2107.07923, 2021 | 6* | 2021 |
BoostVHT: Boosting Distributed Streaming Decision Trees T Vasiloudis, F Beligianni, G De Francisci Morales 2017 ACM Conference on Information and Knowledge Management (CIKM '17), 899-908, 2017 | 6 | 2017 |
Knowing an Object by the Company It Keeps: A Domain-Agnostic Scheme for Similarity Discovery O Görnerup, D Gillblad, T Vasiloudis 2015 IEEE International Conference on Data Mining (ICDM), 121-130, 2015 | 5 | 2015 |
Domain-agnostic discovery of similarities and concepts at scale O Görnerup, D Gillblad, T Vasiloudis Knowledge and Information Systems 51 (2), 531-560, 2016 | 4 | 2016 |
Block-distributed Gradient Boosted Trees T Vasiloudis, H Cho, H Boström 42nd International ACM SIGIR Conference on Research and Development in …, 2019 | 2 | 2019 |
GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes J Zhang, D Zheng, X Song, T Vasiloudis, I Nisa, J Lu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
A Brief History of Information Theory T Vasiloudis | 1 | 2018 |
Scalable Machine Learning through Approximation and Distributed Computing T Vasiloudis KTH Royal Institute of Technology, 2019 | | 2019 |
Mining Similarities and Concepts at Scale O Görnerup, T Vasiloudis ERCIM NEWS, 26-27, 2016 | | 2016 |