Seguir
Xiaowei Jia
Título
Citado por
Citado por
Ano
Integrating physics-based modeling with machine learning: A survey
J Willard, X Jia, S Xu, M Steinbach, V Kumar
arXiv preprint arXiv:2003.04919 1 (1), 1-34, 2020
4542020
Integrating scientific knowledge with machine learning for engineering and environmental systems
J Willard, X Jia, S Xu, M Steinbach, V Kumar
ACM Computing Surveys 55 (4), 1-37, 2022
3022022
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles
X Jia, J Willard, A Karpatne, J Read, J Zwart, M Steinbach, V Kumar
Proceedings of the 2019 SIAM International Conference on Data Mining, 558-566, 2019
2662019
Process‐guided deep learning predictions of lake water temperature
JS Read, X Jia, J Willard, AP Appling, JA Zwart, SK Oliver, A Karpatne, ...
Water Resources Research 55 (11), 9173-9190, 2019
2642019
Physics-guided machine learning for scientific discovery: An application in simulating lake temperature profiles
X Jia, J Willard, A Karpatne, JS Read, JA Zwart, M Steinbach, V Kumar
ACM/IMS Transactions on Data Science 2 (3), 1-26, 2021
2112021
A novel semi-supervised deep learning framework for affective state recognition on eeg signals
X Jia, K Li, X Li, A Zhang
2014 IEEE international conference on bioinformatics and bioengineering, 30-37, 2014
1042014
Incremental Dual-memory LSTM in Land Cover Prediction
X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
792017
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks
X Jia, J Zwart, J Sadler, A Appling, S Oliver, S Markstrom, J Willard, S Xu, ...
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
78*2021
Predicting lake surface water phosphorus dynamics using process-guided machine learning
PC Hanson, AB Stillman, X Jia, A Karpatne, HA Dugan, CC Carey, ...
Ecological Modelling 430, 109136, 2020
692020
Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta‐Transfer Learning
JD Willard, JS Read, AP Appling, SK Oliver, X Jia, V Kumar
Water Resources Research 57 (7), e2021WR029579, 2021
592021
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
X Jia, A Karpatne, J Willard, M Steinbach, J Read, PC Hanson, HA Dugan, ...
arXiv preprint arXiv:1810.02880, 2018
552018
Physics Guided Machine Learning Methods for Hydrology
A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar
arXiv preprint arXiv:2012.02854, 2020
472020
Detecting epileptic seizures with electroencephalogram via a context-learning model
G Xun, X Jia, A Zhang
BMC medical informatics and decision making 16, 97-109, 2016
452016
A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity
Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam
2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021
342021
Predict land covers with transition modeling and incremental learning
X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar
Proceedings of the 2017 SIAM International Conference on Data Mining, 171-179, 2017
302017
Collaborative restricted Boltzmann machine for social event recommendation
X Jia, X Li, K Li, V Gopalakrishnan, G Xun, A Zhang
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
302016
Multi-modal learning for video recommendation based on mobile application usage
X Jia, A Wang, X Li, G Xun, W Xu, A Zhang
2015 IEEE International Conference on Big Data (Big Data), 837-842, 2015
282015
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection
X Jia, S Li, A Khandelwal, G Nayak, A Karpatne, V Kumar
Proceedings of the 2019 SIAM International Conference on Data Mining, 513-521, 2019
272019
Tracking temporal community strength in dynamic networks
N Du, X Jia, J Gao, V Gopalakrishnan, A Zhang
IEEE Transactions on Knowledge and Data Engineering 27 (11), 3125-3137, 2015
272015
Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale
X Jia, A Khandelwal, DJ Mulla, PG Pardey, V Kumar
Agricultural Economics 50, 41-50, 2019
262019
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20