フォロー
Henrique Helfer Hoeltgebaum
Henrique Helfer Hoeltgebaum
Senior Data Scientist @ Securonix
確認したメール アドレス: securonix.com
タイトル
引用先
引用先
Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil
NR Faria, TA Mellan, C Whittaker, IM Claro, DS Candido, S Mishra, ...
Science 372 (6544), 815-821, 2021
1556*2021
Evolution and epidemic spread of SARS-CoV-2 in Brazil
DS Candido, IM Claro, JG De Jesus, WM Souza, FRR Moreira, ...
Science 369 (6508), 1255-1260, 2020
6662020
Estimating COVID-19 cases and reproduction number in Brazil
TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker
Imperial College London (08-05-2020), doi: https://doi. org/10.25561/78872, 2020
159*2020
Supplementary data–report 34: COVID-19 infection fatality ratio: estimates from seroprevalence
N Brazeau, R Verity, S Jenks, H Fu, C Whittaker, P Winskill, I Dorigatti, ...
London: Imperial College, 2020
142*2020
Inference of COVID-19 epidemiological distributions from Brazilian hospital data
I Hawryluk, TA Mellan, H Hoeltgebaum, S Mishra, RP Schnekenberg, ...
Journal of the Royal Society Interface 17 (172), 20200596, 2020
362020
Prospective artificial intelligence approaches for active cyber defence
N Dhir, H Hoeltgebaum, N Adams, M Briers, A Burke, P Jones
arXiv preprint arXiv:2104.09981, 2021
292021
Generating joint scenarios for renewable generation: The case for non-Gaussian models with time-varying parameters
H Hoeltgebaum, C Fernandes, A Street
IEEE Transactions on power systems 33 (6), 7011-7019, 2018
282018
Five different distributions for the Lee–Carter model of mortality forecasting: A comparison using GAS models
C Neves, C Fernandes, H Hoeltgebaum
Insurance: Mathematics and Economics 75, 48-57, 2017
232017
Estimation, forecasting, and anomaly detection for nonstationary streams using adaptive estimation
H Hoeltgebaum, N Adams, C Fernandes
IEEE Transactions on Cybernetics 52 (8), 7956-7967, 2021
112021
Gaussian process nowcasting: application to COVID-19 mortality reporting
I Hawryluk, H Hoeltgebaum, S Mishra, X Miscouridou, RP Schnekenberg, ...
Uncertainty in Artificial Intelligence, 1258-1268, 2021
102021
A score-driven model of short-term demand forecasting for retail distribution centers
H Hoeltgebaum, D Borenstein, C Fernandes, Á Veiga
Journal of Retailing 97 (4), 715-725, 2021
92021
Streaming changepoint detection for transition matrices
J Plasse, H Hoeltgebaum, NM Adams
Data Mining and Knowledge Discovery 35 (4), 1287-1316, 2021
42021
HCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions.
H Hoeltgebaum, H Battey
R J. 11 (2), 370, 2019
2*2019
Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling
I Hawryluk, H Hoeltgebaum, C Sodja, T Lalicker, J Neil
arXiv preprint arXiv:2209.09769, 2022
12022
A quantile dependency model for predicting optimal centrifugal pump operating strategies
B Stephen, B Brown, A Young, A Duncan, H Helfer-Hoeltgebaum, G West, ...
Machines 10 (7), 557, 2022
12022
Desempenho do modelo estocástico de média-varância para o mercado brasileiro de ações
HH Hoeltgebaum
12011
Unsupervised streaming anomaly detection for instrumented infrastructure
H Hoeltgebaum, N Adams, FDH Lau
The Annals of Applied Statistics 15 (3), 1101-1125, 2021
2021
Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting (preprint)
I Hawryluk, H Hoeltgebaum, S Mishra, X Miscouridou, RP Schnekenberg, ...
2021
Inference of COVID-19 epidemiological distributions from Brazilian hospital data (preprint)
I Hawryluk, TA Mellan, HH Hoeltgebaum, R Schnekenberg, S Mishra, ...
2020
Improved feed pump performance through predictive analytics
B Stephen, B Brown, A Young, S McArthur, G West, C Michie, A Duncan, ...
2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, 2019
2019
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