Expertises
Computer Science
- Models
- Explanatory Variable
- Random Decision Forest
- Brownian Motion
- Collected Data
Mathematics
- Point Process
- intensity function λ
- Regression Estimation
Organisaties
Publicaties
2024
M.N.M. van Lieshout and C. Lu's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning', 306-307. van Lieshout, M.-C. & Lu, C.https://doi.org/10.1093/jrsssb/qkad150XGBoostPP: Tree-based Estimation of Point Process Intensity Functions. ArXiv.org. Lu, C., Guan, Y., van Lieshout, M.-C. & Xu, G.https://doi.org/10.48550/arXiv.2401.17966
2023
Data-driven chimney fire risk prediction using machine learning and point process tools, 3088-3111. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://doi.org/10.1214/23-AOAS1752
2022
Channel Contribution In Deep Learning Based Automatic Sleep Scoring – How Many Channels Do We Need?, 494-505. Lu, C., Pathak, S., Englebienne, G. & Seifert, C.https://doi.org/10.1109/TNSRE.2022.3227040Infill asymptotics for logistic regression estimators for spatio-temporal point processes. ArXiv.org. van Lieshout, M.-C. & Lu, C.https://doi.org/10.48550/arXiv.2208.12080
2021
Data-driven chimney fire risk prediction using machine learning and point process tools. ArXiv.org. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://doi.org/10.48550/arXiv.2112.07257STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring, Article 102038. Pathak, S., Lu, C., Belur Nagaraj, S., van Putten, M. J. A. M. & Seifert, C.https://doi.org/10.1016/j.artmed.2021.102038Chimney fire prediction based on environmental variables, 288-291. Lu, C., van Lieshout, M.-C., de Graaf, M. & Visscher, P.https://www.isi-web.org/files/docs/papers-and-abstracts/86-day2-cps036-chimney-fire-prediction-based.pdf
Onderzoeksprofielen
Adres
Universiteit Twente
Zilverling (gebouwnr. 11), kamer 4054
Hallenweg 19
7522 NH Enschede
Universiteit Twente
Zilverling
Postbus 217
7500 AE Enschede
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