Knowing an Object by the Company it Keeps: A Domain-Agnostic Scheme for Similarity Discovery. - Olof Görnerup; Daniel Gillblad; Theodore Vasiloudis (ICDM, 2015)

Mining Similarities and Concepts at Scale. - Olof Görnerup; Theodore Vasiloudis (ERCIM News, 2016)

BoostVHT: Boosting Distributed Streaming Decision Trees. - Theodore Vasiloudis; Foteini Beligianni; Gianmarco De Francisci Morales (CIKM, 2017)

Predicting Session Length in Media Streaming. - Theodore Vasiloudis; Hossein Vahabi; Ross Kravitz; Valery Rashkov (SIGIR, 2017)

Domain-agnostic discovery of similarities and concepts at scale. - Olof Görnerup; Daniel Gillblad; Theodore Vasiloudis (Knowl. Inf. Syst., 2017)

Block-distributed Gradient Boosted Trees. - Theodore Vasiloudis; Hyunsu Cho; Henrik Boström (SIGIR, 2019)

Quantifying Uncertainty in Online Regression Forests. - Theodore Vasiloudis; Gianmarco De Francisci Morales; Henrik Boström (J. Mach. Learn. Res., 2019)

Scalable Machine Learning through Approximation and Distributed Computing. - Theodore Vasiloudis (2019)

BRR: Preserving Privacy of Text Data Efficiently on Device. - Ricardo Silva Carvalho; Theodore Vasiloudis; Oluwaseyi Feyisetan (CoRR, 2021)

TEM: High Utility Metric Differential Privacy on Text. - Ricardo Silva Carvalho; Theodore Vasiloudis; Oluwaseyi Feyisetan (CoRR, 2021)

GraphStorm an Easy-to-use and Scalable Graph Neural Network Framework: From Beginners to Heroes. - Jian Zhang; Da Zheng; Xiang Song 003; Theodore Vasiloudis; Israt Nisa; Jim Lu (KDD, 2023)

TEM: High Utility Metric Differential Privacy on Text. - Ricardo Silva Carvalho; Theodore Vasiloudis; Oluwaseyi Feyisetan; Ke Wang 001 (SDM, 2023)

GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jian Zhang; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (KDD, 2024)

GraphStorm: all-in-one graph machine learning framework for industry applications. - Da Zheng; Xiang Song 003; Qi Zhu 008; Jiani Zhang 003; Theodore Vasiloudis; Runjie Ma; Houyu Zhang; Zichen Wang 002; Soji Adeshina; Israt Nisa; Alejandro Mottini; Qingjun Cui; et al. (CoRR, 2024)

Dynamic Mixture-of-Experts for Incremental Graph Learning. - Lecheng Kong; Theodore Vasiloudis; Seongjun Yun; Han Xie; Xiang Song 003 (CoRR, 2025)