C. Bayan Bruss
C. Bayan Bruss
Capital One
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Cited by
Cited by
Towards automated machine learning: Evaluation and comparison of AutoML approaches and tools
A Truong, A Walters, J Goodsitt, K Hines, CB Bruss, R Farivar
2019 IEEE 31st international conference on tools with artificial …, 2019
Saint: Improved neural networks for tabular data via row attention and contrastive pre-training
G Somepalli, M Goldblum, A Schwarzschild, CB Bruss, T Goldstein
arXiv preprint arXiv:2106.01342, 2021
Culture and getting to yes: The linguistic signature of creative agreements in the United States and Egypt
MJ Gelfand, L Severance, T Lee, CB Bruss, J Lun, AH Abdel‐Latif, ...
Journal of Organizational Behavior 36 (7), 967-989, 2015
The cultural contagion of conflict
M Gelfand, G Shteynberg, T Lee, J Lun, S Lyons, C Bell, JY Chiao, ...
Philosophical Transactions of the Royal Society B: Biological Sciences 367 …, 2012
Deeptrax: Embedding graphs of financial transactions
A Khazane, J Rider, M Serpe, A Gogoglou, K Hines, CB Bruss, R Serpe
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Route planning system and methodology which account for safety factors
PJ Ehsani, CB Bruss, JK Khodadad
US Patent App. 14/205,495, 2015
Critical assessment of the foundations of power transmission and distribution reliability metrics and standards
R Nateghi, SD Guikema, Y Wu, CB Bruss
Risk analysis 36 (1), 4-15, 2016
Systems and methods of detecting email-based attacks through machine learning
CB Bruss, S Fletcher, L Yu, J Kressel
US Patent 10,397,272, 2019
Latent-CF: a simple baseline for Reverse Counterfactual Explanations
R Balasubramanian, S Sharpe, B Barr, J Wittenbach, CB Bruss
arXiv preprint arXiv:2012.09301, 2020
Transfer learning with deep tabular models
R Levin, V Cherepanova, A Schwarzschild, A Bansal, CB Bruss, ...
arXiv preprint arXiv:2206.15306, 2022
Towards ground truth explainability on tabular data
B Barr, K Xu, C Silva, E Bertini, R Reilly, CB Bruss, JD Wittenbach
arXiv preprint arXiv:2007.10532, 2020
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
I Hameed, S Sharpe, D Barcklow, J Au-Yeung, S Verma, J Huang, B Barr, ...
arXiv preprint arXiv:2207.05566, 2022
Counterfactual explanations via latent space projection and interpolation
B Barr, MR Harrington, S Sharpe, CB Bruss
arXiv preprint arXiv:2112.00890, 2021
Neural embeddings of transaction data
C Bruss, K Hines
US Patent 10,789,530, 2020
On the interpretability and evaluation of graph representation learning
A Gogoglou, CB Bruss, KE Hines
arXiv preprint arXiv:1910.03081, 2019
Explaining national trends in terrestrial water storage
CB Bruss, R Nateghi, BF Zaitchik
Frontiers in Environmental Science 7, 85, 2019
The cultural transmission of intergroup conflict
MJ Gelfand, G Shteynberg, C Bell, T Lee, S Lyons, J Lun, CB Bruss, ...
Philosophical Transactions of the Royal Society: Biological Sciences, 367 …, 2012
Systems and method for enhanced active machine learning through processing of partitioned uncertainty
J Wittenbach, JOH Montgomery, CB Bruss
US Patent App. 17/011,839, 2022
Navigating the dynamics of financial embeddings over time
A Gogoglou, B Nguyen, A Salimov, JB Rider, CB Bruss
Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020
Graph embeddings at scale
CB Bruss, A Khazane, J Rider, R Serpe, S Nagrecha, KE Hines
arXiv preprint arXiv:1907.01705, 2019
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