activity
20102026
most citedGraph Embedding Techniques, Applications, and Performance: A Survey

1.9k citations · 16k across the 151 of their papers we have counts for

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8 papers · 1 filter

cs.AI2022★ 1 cited

Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment

Yilei Zeng, Jiali Duan, Yang Li +4

Human-centered AI considers human experiences with AI performance. While abundant research has been helping AI achieve superhuman performance either by fully automatic or weak supe…

cs.AI2022★ 4 cited

Word Embedding for Social Sciences: An Interdisciplinary Survey

Akira Matsui, Emilio Ferrara

To extract essential information from complex data, computer scientists have been developing machine learning models that learn low-dimensional representation mode. From such advan…

cs.AI2021★ 1 cited

Individualized Context-Aware Tensor Factorization for Online Games Predictions

Julie Jiang, Kristina Lerman, Emilio Ferrara

Individual behavior and decisions are substantially influenced by their contexts, such as location, environment, and time. Changes along these dimensions can be readily observed in…

cs.AI2020

Learning to Reason in Round-based Games: Multi-task Sequence Generation for Purchasing Decision Making in First-person Shooters

Yilei Zeng, Deren Lei, Beichen Li +3

Sequential reasoning is a complex human ability, with extensive previous research focusing on gaming AI in a single continuous game, round-based decision makings extending to a seq…

cs.AI2018★ 516 cited

Deep Neural Networks for Bot Detection

Sneha Kudugunta, Emilio Ferrara

The problem of detecting bots, automated social media accounts governed by software but disguising as human users, has strong implications. For example, bots have been used to sway…

cs.AI2011★ 3 cited

Intelligent Self-Repairable Web Wrappers

Emilio Ferrara, Robert Baumgartner

The amount of information available on the Web grows at an incredible high rate. Systems and procedures devised to extract these data from Web sources already exist, and different…