Keegan E. Hines

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 13

Top Topics

Handwritten Documents

Comprehensive Evaluation

Graph Representation

Top Venues

Publications

I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. AIES (2022)
I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation. CoRR (2022)
Antonia Gogoglou, C. Bayan Bruss, Brian Nguyen, Reza Sarshogh, Keegan E. Hines
Quantifying Challenges in the Application of Graph Representation Learning. ICMLA (2020)
Antonia Gogoglou, C. Bayan Bruss, Brian Nguyen, Reza Sarshogh, Keegan E. Hines
Quantifying Challenges in the Application of Graph Representation Learning. CoRR (2020)
Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. CoRR (2019)
C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Saurabh Nagrecha, Keegan E. Hines
Graph Embeddings at Scale. CoRR (2019)
Anish Khazane, Jonathan Rider, Max Serpe, Antonia Gogoglou, Keegan E. Hines, C. Bayan Bruss, Richard Serpe
DeepTrax: Embedding Graphs of Financial Transactions. ICMLA (2019)
Mohammad Reza Sarshogh, Keegan E. Hines
A Multitask Network for Localization and Recognition of Text in Images. CoRR (2019)
C. Bayan Bruss, Anish Khazane, Jonathan Rider, Richard Serpe, Antonia Gogoglou, Keegan E. Hines
DeepTrax: Embedding Graphs of Financial Transactions. CoRR (2019)
Anh Truong, Austin Walters, Jeremy Goodsitt, Keegan E. Hines, C. Bayan Bruss, Reza Farivar
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools. ICTAI (2019)
Mohammad Reza Sarshogh, Keegan E. Hines
A Multi-task Network for Localization and Recognition of Text in Images. ICDAR (2019)
Antonia Gogoglou, C. Bayan Bruss, Keegan E. Hines
On the Interpretability and Evaluation of Graph Representation Learning. CoRR (2019)
Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis, Keegan E. Hines, David Pekarek
Anomaly Detection in Cyber Network Data Using a Cyber Language Approach. CoRR (2018)