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Dan Shiebler
Dan Shiebler
Abnormal Security, Twitter, University of Oxford
Adresă de e-mail confirmată pe twitter.com - Pagina de pornire
Titlu
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Citat de
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Learning what and where to attend with humans in the loop
D Linsley, D Shiebler, S Eberhardt, T Serre
ICLR 2019, 2018
171*2018
Systems and methods for sensor-based vehicle crash prediction, detection, and reconstruction
B Cordova, E Vaisman, D Shiebler
US Patent 11,220,258, 2022
662022
Category theory in machine learning
D Shiebler, B Gavranović, P Wilson
Applied Category Theory 2021, 2021
572021
Systems and methods for detecting and assessing distracted drivers
B Cordova, R Finegold, D Shiebler, K Farrell
US Patent 10,158,977, 2018
402018
Global-and-local attention networks for visual recognition
D Linsley, D Shiebler, S Eberhardt, T Serre
benefits 64 (01), 2018
382018
Tuning word2vec for large scale recommendation systems
BP Chamberlain, E Rossi, D Shiebler, S Sedhain, MM Bronstein
Proceedings of the 14th ACM Conference on Recommender Systems, 732-737, 2020
332020
Method and system for accident detection using contextual data
B Cordova, R Finegold, D Shiebler, E Vaisman
US Patent 10,930,090, 2021
212021
Systems and methods for scoring driving trips
B Cordova, R Finegold, D Shiebler, S Cecala
US Patent 11,072,339, 2021
202021
Systems and methods for detecting airbag deployment resulting from a vehicle crash
B Cordova, E Vaisman, D Shiebler
US Patent 10,232,847, 2019
172019
Categorical stochastic processes and likelihood
D Shiebler
Compositionality [https://doi.org/10.32408/compositionality-3-1] 3 (1), 2021
152021
Developments in AI and machine learning for neuroimaging
S O’Sullivan, F Jeanquartier, C Jean-Quartier, A Holzinger, D Shiebler, ...
Artificial Intelligence and Machine Learning for Digital Pathology: State-of …, 2020
102020
Functorial clustering via simplicial complexes
D Shiebler
Topological Data Analysis and Beyond [NeurIPS 2020], 2020
92020
Functorial manifold learning
D Shiebler
arXiv preprint arXiv:2011.07435, 2020
72020
Incremental monoidal grammars
D Shiebler, A Toumi, M Sadrzadeh
arXiv preprint arXiv:2001.02296, 2020
62020
Kan Extensions in Data Science and Machine Learning
D Shiebler
arXiv preprint arXiv:2203.09018, 2022
52022
Learning what and where to attend. arXiv
D Linsley, D Shiebler, S Eberhardt, T Serre
arXiv preprint arXiv:1805.08819, 2018
52018
Making Machine Learning Easy with Embeddings
D Shiebler, A Tayal
SysML 2018, 2018
5*2018
Device-based systems and methods for detecting screen state and device movement
B Cordova, R Finegold, D Shiebler
US Patent 11,338,733, 2022
42022
Generalized optimization: A first step towards category theoretic learning theory
D Shiebler
Intelligent Computing & Optimization: Proceedings of the 4th International …, 2022
42022
Lessons learned addressing dataset bias in model-based candidate generation at Twitter
A Virani, J Baxter, D Shiebler, P Gautier, S Verma, Y Xia, A Sharma, ...
arXiv preprint arXiv:2105.09293, 2021
42021
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